diff --git a/.gitignore b/.gitignore new file mode 100644 index 000000000..58461f254 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +.ipynb_checkpoints \ No newline at end of file diff --git a/COPYING b/COPYING new file mode 100644 index 000000000..556d710f7 --- /dev/null +++ b/COPYING @@ -0,0 +1,23 @@ +Code examples from "Python for Data Analysis", 3rd Edition + +The MIT License (MIT) + +Copyright (c) 2022 Wes McKinney + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 000000000..d0618f48b --- /dev/null +++ b/README.md @@ -0,0 +1,49 @@ +# Python for Data Analysis, 3rd Edition + +Materials and IPython notebooks for "Python for Data Analysis, 3rd +Edition" by Wes McKinney, published by O'Reilly Media. Book content +including updates and errata fixes can be [found for free on my +website][6]. + +[Buy the book on Amazon][1] + +Follow Wes on Twitter: [![Twitter Follow](https://img.shields.io/twitter/follow/wesmckinn.svg?style=social&label=Follow)](https://twitter.com/wesmckinn) + +# 2nd Edition Readers + +If you are reading the 2nd Edition (published in 2017), please find the +reorganized book materials on the [`2nd-edition` branch][5]. + +# 1st Edition Readers + +If you are reading the 1st Edition (published in 2012), please find the +reorganized book materials on the [`1st-edition` branch][2]. + +## IPython Notebooks: + +* [Chapter 2: Python Language Basics, IPython, and Jupyter Notebooks](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch02.ipynb) +* [Chapter 3: Built-in Data Structures, Functions, and Files](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch03.ipynb) +* [Chapter 4: NumPy Basics: Arrays and Vectorized Computation](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch04.ipynb) +* [Chapter 5: Getting Started with pandas](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch05.ipynb) +* [Chapter 6: Data Loading, Storage, and File Formats](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch06.ipynb) +* [Chapter 7: Data Cleaning and Preparation](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch07.ipynb) +* [Chapter 8: Data Wrangling: Join, Combine, and Reshape](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch08.ipynb) +* [Chapter 9: Plotting and Visualization](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch09.ipynb) +* [Chapter 10: Data Aggregation and Group Operations](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch10.ipynb) +* [Chapter 11: Time Series](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch11.ipynb) +* [Chapter 12: Introduction to Modeling Libraries in Python](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch12.ipynb) +* [Chapter 13: Data Analysis Examples](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch13.ipynb) +* [Appendix A: Advanced NumPy](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/appa.ipynb) + +## License + +### Code + +The code in this repository, including all code samples in the notebooks listed +above, is released under the [MIT license](LICENSE-CODE). Read more at the +[Open Source Initiative](https://opensource.org/licenses/MIT). + +[1]: https://amzn.to/3DyLaJc +[2]: https://github.com/wesm/pydata-book/tree/1st-edition +[5]: https://github.com/wesm/pydata-book/tree/2nd-edition +[6]: https://wesmckinney.com/book/ \ No newline at end of file diff --git a/appa.ipynb b/appa.ipynb new file mode 100644 index 000000000..a4e26b8ad --- /dev/null +++ b/appa.ipynb @@ -0,0 +1,947 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "plt.rc('figure', figsize=(10, 6))\n", + "PREVIOUS_MAX_ROWS = pd.options.display.max_rows\n", + "pd.options.display.max_columns = 20\n", + "pd.options.display.max_rows = 20\n", + "pd.options.display.max_colwidth = 80\n", + "np.set_printoptions(precision=4, suppress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "rng = np.random.default_rng(seed=12345)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "np.ones((10, 5)).shape" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "np.ones((3, 4, 5), dtype=np.float64).strides" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "ints = np.ones(10, dtype=np.uint16)\n", + "floats = np.ones(10, dtype=np.float32)\n", + "np.issubdtype(ints.dtype, np.integer)\n", + "np.issubdtype(floats.dtype, np.floating)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "np.float64.mro()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "np.issubdtype(ints.dtype, np.number)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(8)\n", + "arr\n", + "arr.reshape((4, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "arr.reshape((4, 2)).reshape((2, 4))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(15)\n", + "arr.reshape((5, -1))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "other_arr = np.ones((3, 5))\n", + "other_arr.shape\n", + "arr.reshape(other_arr.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(15).reshape((5, 3))\n", + "arr\n", + "arr.ravel()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "arr.flatten()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(12).reshape((3, 4))\n", + "arr\n", + "arr.ravel()\n", + "arr.ravel('F')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "arr1 = np.array([[1, 2, 3], [4, 5, 6]])\n", + "arr2 = np.array([[7, 8, 9], [10, 11, 12]])\n", + "np.concatenate([arr1, arr2], axis=0)\n", + "np.concatenate([arr1, arr2], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "np.vstack((arr1, arr2))\n", + "np.hstack((arr1, arr2))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal((5, 2))\n", + "arr\n", + "first, second, third = np.split(arr, [1, 3])\n", + "first\n", + "second\n", + "third" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(6)\n", + "arr1 = arr.reshape((3, 2))\n", + "arr2 = rng.standard_normal((3, 2))\n", + "np.r_[arr1, arr2]\n", + "np.c_[np.r_[arr1, arr2], arr]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "np.c_[1:6, -10:-5]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(3)\n", + "arr\n", + "arr.repeat(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "arr.repeat([2, 3, 4])" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal((2, 2))\n", + "arr\n", + "arr.repeat(2, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "arr.repeat([2, 3], axis=0)\n", + "arr.repeat([2, 3], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "arr\n", + "np.tile(arr, 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "arr\n", + "np.tile(arr, (2, 1))\n", + "np.tile(arr, (3, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(10) * 100\n", + "inds = [7, 1, 2, 6]\n", + "arr[inds]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "arr.take(inds)\n", + "arr.put(inds, 42)\n", + "arr\n", + "arr.put(inds, [40, 41, 42, 43])\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "inds = [2, 0, 2, 1]\n", + "arr = rng.standard_normal((2, 4))\n", + "arr\n", + "arr.take(inds, axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(5)\n", + "arr\n", + "arr * 4" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal((4, 3))\n", + "arr.mean(0)\n", + "demeaned = arr - arr.mean(0)\n", + "demeaned\n", + "demeaned.mean(0)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "arr\n", + "row_means = arr.mean(1)\n", + "row_means.shape\n", + "row_means.reshape((4, 1))\n", + "demeaned = arr - row_means.reshape((4, 1))\n", + "demeaned.mean(1)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "arr - arr.mean(1)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "arr - arr.mean(1).reshape((4, 1))" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.zeros((4, 4))\n", + "arr_3d = arr[:, np.newaxis, :]\n", + "arr_3d.shape\n", + "arr_1d = rng.standard_normal(3)\n", + "arr_1d[:, np.newaxis]\n", + "arr_1d[np.newaxis, :]" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal((3, 4, 5))\n", + "depth_means = arr.mean(2)\n", + "depth_means\n", + "depth_means.shape\n", + "demeaned = arr - depth_means[:, :, np.newaxis]\n", + "demeaned.mean(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.zeros((4, 3))\n", + "arr[:] = 5\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "col = np.array([1.28, -0.42, 0.44, 1.6])\n", + "arr[:] = col[:, np.newaxis]\n", + "arr\n", + "arr[:2] = [[-1.37], [0.509]]\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(10)\n", + "np.add.reduce(arr)\n", + "arr.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "my_rng = np.random.default_rng(12346) # for reproducibility\n", + "arr = my_rng.standard_normal((5, 5))\n", + "arr\n", + "arr[::2].sort(1) # sort a few rows\n", + "arr[:, :-1] < arr[:, 1:]\n", + "np.logical_and.reduce(arr[:, :-1] < arr[:, 1:], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(15).reshape((3, 5))\n", + "np.add.accumulate(arr, axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(3).repeat([1, 2, 2])\n", + "arr\n", + "np.multiply.outer(arr, np.arange(5))" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "x, y = rng.standard_normal((3, 4)), rng.standard_normal(5)\n", + "result = np.subtract.outer(x, y)\n", + "result.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(10)\n", + "np.add.reduceat(arr, [0, 5, 8])" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.multiply.outer(np.arange(4), np.arange(5))\n", + "arr\n", + "np.add.reduceat(arr, [0, 2, 4], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "def add_elements(x, y):\n", + " return x + y\n", + "add_them = np.frompyfunc(add_elements, 2, 1)\n", + "add_them(np.arange(8), np.arange(8))" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "add_them = np.vectorize(add_elements, otypes=[np.float64])\n", + "add_them(np.arange(8), np.arange(8))" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal(10000)\n", + "%timeit add_them(arr, arr)\n", + "%timeit np.add(arr, arr)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "dtype = [('x', np.float64), ('y', np.int32)]\n", + "sarr = np.array([(1.5, 6), (np.pi, -2)], dtype=dtype)\n", + "sarr" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "sarr[0]\n", + "sarr[0]['y']" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "sarr['x']" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "dtype = [('x', np.int64, 3), ('y', np.int32)]\n", + "arr = np.zeros(4, dtype=dtype)\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "arr[0]['x']" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "arr['x']" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "dtype = [('x', [('a', 'f8'), ('b', 'f4')]), ('y', np.int32)]\n", + "data = np.array([((1, 2), 5), ((3, 4), 6)], dtype=dtype)\n", + "data['x']\n", + "data['y']\n", + "data['x']['a']" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal(6)\n", + "arr.sort()\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal((3, 5))\n", + "arr\n", + "arr[:, 0].sort() # Sort first column values in place\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal(5)\n", + "arr\n", + "np.sort(arr)\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal((3, 5))\n", + "arr\n", + "arr.sort(axis=1)\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "arr[:, ::-1]" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "values = np.array([5, 0, 1, 3, 2])\n", + "indexer = values.argsort()\n", + "indexer\n", + "values[indexer]" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal((3, 5))\n", + "arr[0] = values\n", + "arr\n", + "arr[:, arr[0].argsort()]" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "first_name = np.array(['Bob', 'Jane', 'Steve', 'Bill', 'Barbara'])\n", + "last_name = np.array(['Jones', 'Arnold', 'Arnold', 'Jones', 'Walters'])\n", + "sorter = np.lexsort((first_name, last_name))\n", + "sorter\n", + "list(zip(last_name[sorter], first_name[sorter]))" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "values = np.array(['2:first', '2:second', '1:first', '1:second',\n", + " '1:third'])\n", + "key = np.array([2, 2, 1, 1, 1])\n", + "indexer = key.argsort(kind='mergesort')\n", + "indexer\n", + "values.take(indexer)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "rng = np.random.default_rng(12345)\n", + "arr = rng.standard_normal(20)\n", + "arr\n", + "np.partition(arr, 3)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "indices = np.argpartition(arr, 3)\n", + "indices\n", + "arr.take(indices)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.array([0, 1, 7, 12, 15])\n", + "arr.searchsorted(9)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "arr.searchsorted([0, 8, 11, 16])" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.array([0, 0, 0, 1, 1, 1, 1])\n", + "arr.searchsorted([0, 1])\n", + "arr.searchsorted([0, 1], side='right')" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "data = np.floor(rng.uniform(0, 10000, size=50))\n", + "bins = np.array([0, 100, 1000, 5000, 10000])\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "labels = bins.searchsorted(data)\n", + "labels" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "pd.Series(data).groupby(labels).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "def mean_distance(x, y):\n", + " nx = len(x)\n", + " result = 0.0\n", + " count = 0\n", + " for i in range(nx):\n", + " result += x[i] - y[i]\n", + " count += 1\n", + " return result / count" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "mmap = np.memmap('mymmap', dtype='float64', mode='w+',\n", + " shape=(10000, 10000))\n", + "mmap" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "section = mmap[:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [], + "source": [ + "section[:] = rng.standard_normal((5, 10000))\n", + "mmap.flush()\n", + "mmap\n", + "del mmap" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "mmap = np.memmap('mymmap', dtype='float64', shape=(10000, 10000))\n", + "mmap" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "%xdel mmap\n", + "!rm mymmap" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "arr_c = np.ones((100, 10000), order='C')\n", + "arr_f = np.ones((100, 10000), order='F')\n", + "arr_c.flags\n", + "arr_f.flags\n", + "arr_f.flags.f_contiguous" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "%timeit arr_c.sum(1)\n", + "%timeit arr_f.sum(1)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [], + "source": [ + "arr_f.copy('C').flags" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "arr_c[:50].flags.contiguous\n", + "arr_c[:, :50].flags" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "%xdel arr_c\n", + "%xdel arr_f" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [], + "source": [ + "pd.options.display.max_rows = PREVIOUS_MAX_ROWS" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} \ No newline at end of file diff --git a/appb.ipynb b/appb.ipynb new file mode 100644 index 000000000..4be04792b --- /dev/null +++ b/appb.ipynb @@ -0,0 +1,83 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "plt.rc('figure', figsize=(10, 6))\n", + "PREVIOUS_MAX_ROWS = pd.options.display.max_rows\n", + "pd.options.display.max_columns = 20\n", + "pd.options.display.max_rows = 20\n", + "pd.options.display.max_colwidth = 80\n", + "np.set_printoptions(precision=4, suppress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# a very large list of strings\n", + "strings = ['foo', 'foobar', 'baz', 'qux',\n", + " 'python', 'Guido Van Rossum'] * 100000\n", + "\n", + "method1 = [x for x in strings if x.startswith('foo')]\n", + "\n", + "method2 = [x for x in strings if x[:3] == 'foo']" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "%time method1 = [x for x in strings if x.startswith('foo')]\n", + "%time method2 = [x for x in strings if x[:3] == 'foo']" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "pd.options.display.max_rows = PREVIOUS_MAX_ROWS" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} \ No newline at end of file diff --git a/appendix_python.ipynb b/appendix_python.ipynb deleted file mode 100644 index a3d823dbb..000000000 --- a/appendix_python.ipynb +++ /dev/null @@ -1,3167 +0,0 @@ -{ - "metadata": { - "name": "", - "signature": "sha256:067c1802b971ba842da856771eeac996386d181a92c8e25ea838928b63b2ecdc" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "heading", - "level": 1, - "metadata": {}, - "source": [ - "Appendix: Python Language Essentials" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from __future__ import division\n", - "from numpy.random import randn\n", - "import numpy as np\n", - "import os\n", - "import matplotlib.pyplot as plt\n", - "np.random.seed(12345)\n", - "plt.rc('figure', figsize=(10, 6))\n", - "from pandas import *\n", - "import pandas\n", - "np.set_printoptions(precision=4)\n" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "The Python interpreter" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```\n", - "$ python\n", - "Python 2.7.2 (default, Oct 4 2011, 20:06:09)\n", - "[GCC 4.6.1] on linux2\n", - "Type \"help\", \"copyright\", \"credits\" or \"license\" for more information.\n", - ">>> a = 5\n", - ">>> print a\n", - "5\n", - "```" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%%writefile hello_world.py\n", - "print 'Hello world'" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```\n", - "$ ipython\n", - "Python 2.7.2 |EPD 7.1-2 (64-bit)| (default, Jul 3 2011, 15:17:51)\n", - "Type \"copyright\", \"credits\" or \"license\" for more information.\n", - "\n", - "IPython 0.12 -- An enhanced Interactive Python.\n", - "? -> Introduction and overview of IPython's features.\n", - "%quickref -> Quick reference.\n", - "help -> Python's own help system.\n", - "object? -> Details about 'object', use 'object??' for extra details.\n", - "\n", - "In [1]: %run hello_world.py\n", - "Hello world\n", - "\n", - "In [2]:\n", - "```" - ] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "The Basics" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Language Semantics" - ] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Indentation, not braces" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "for x in array:\n", - " if x < pivot:\n", - " less.append(x)\n", - " else:\n", - " greater.append(x)" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "for x in array {\n", - " if x < pivot {\n", - " less.append(x)\n", - " } else {\n", - " greater.append(x)\n", - " }\n", - " }" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "for x in array\n", - " {\n", - " if x < pivot\n", - " {\n", - " less.append(x)\n", - " }\n", - " else\n", - " {\n", - " greater.append(x)\n", - " }\n", - " }" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "a = 5; b = 6; c = 7" - ] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Everything is an object" - ] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Comments" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "results = []\n", - "for line in file_handle:\n", - " # keep the empty lines for now\n", - " # if len(line) == 0:\n", - " # continue\n", - " results.append(line.replace('foo', 'bar'))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Function and object method calls" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = f(x, y, z)\n", - "g()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj.some_method(x, y, z)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = f(a, b, c, d=5, e='foo')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Variables and pass-by-reference" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = [1, 2, 3]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "b = a" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a.append(4)\n", - "b" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def append_element(some_list, element):\n", - " some_list.append(element)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = [1, 2, 3]\n", - "\n", - "append_element(data, 4)\n", - "\n", - "In [4]: data\n", - "Out[4]: [1, 2, 3, 4]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Dynamic references, strong types" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = 5\n", - "type(a)\n", - "a = 'foo'\n", - "type(a)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "'5' + 5" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = 4.5\n", - "b = 2\n", - "# String formatting, to be visited later\n", - "print 'a is %s, b is %s' % (type(a), type(b))\n", - "a / b" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = 5\n", - "isinstance(a, int)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = 5; b = 4.5\n", - "isinstance(a, (int, float))\n", - "isinstance(b, (int, float))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Attributes and methods" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "In [1]: a = 'foo'\n", - "\n", - "In [2]: a.\n", - "a.capitalize a.format a.isupper a.rindex a.strip\n", - "a.center a.index a.join a.rjust a.swapcase\n", - "a.count a.isalnum a.ljust a.rpartition a.title\n", - "a.decode a.isalpha a.lower a.rsplit a.translate\n", - "a.encode a.isdigit a.lstrip a.rstrip a.upper\n", - "a.endswith a.islower a.partition a.split a.zfill\n", - "a.expandtabs a.isspace a.replace a.splitlines\n", - "a.find a.istitle a.rfind a.startswith" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - ">>> getattr(a, 'split')\n", - "\n" - ] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "\"Duck\" typing" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def isiterable(obj):\n", - " try:\n", - " iter(obj)\n", - " return True\n", - " except TypeError: # not iterable\n", - " return False" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "isiterable('a string')\n", - "isiterable([1, 2, 3])\n", - "isiterable(5)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "if not isinstance(x, list) and isiterable(x):\n", - " x = list(x)" - ] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Imports" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# some_module.py\n", - "PI = 3.14159\n", - "\n", - "def f(x):\n", - " return x + 2\n", - "\n", - "def g(a, b):\n", - " return a + b" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import some_module\n", - "result = some_module.f(5)\n", - "pi = some_module.PI" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from some_module import f, g, PI\n", - "result = g(5, PI)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import some_module as sm\n", - "from some_module import PI as pi, g as gf\n", - "\n", - "r1 = sm.f(pi)\n", - "r2 = gf(6, pi)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Binary operators and comparisons" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "5 - 7\n", - "12 + 21.5\n", - "5 <= 2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = [1, 2, 3]\n", - "b = a\n", - "# Note, the list function always creates a new list\n", - "c = list(a)\n", - "a is b\n", - "a is not c" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a == c" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = None\n", - "a is None" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Strictness versus laziness" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = b = c = 5\n", - "d = a + b * c" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Mutable and immutable objects" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a_list = ['foo', 2, [4, 5]]\n", - "a_list[2] = (3, 4)\n", - "a_list" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a_tuple = (3, 5, (4, 5))\n", - "a_tuple[1] = 'four'" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Scalar Types" - ] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Numeric types" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ival = 17239871\n", - "ival ** 6" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fval = 7.243\n", - "fval2 = 6.78e-5" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "3 / 2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from __future__ import division" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "3 / float(2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "3 // 2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "cval = 1 + 2j\n", - "cval * (1 - 2j)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Strings" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = 'one way of writing a string'\n", - "b = \"another way\"" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "c = \"\"\"\n", - "This is a longer string that\n", - "spans multiple lines\n", - "\"\"\"" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = 'this is a string'\n", - "a[10] = 'f'\n", - "b = a.replace('string', 'longer string')\n", - "b" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = 5.6\n", - "s = str(a)\n", - "s" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "s = 'python'\n", - "list(s)\n", - "s[:3]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "s = '12\\\\34'\n", - "print s" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "s = r'this\\has\\no\\special\\characters'\n", - "s" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = 'this is the first half '\n", - "b = 'and this is the second half'\n", - "a + b" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "template = '%.2f %s are worth $%d'" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "template % (4.5560, 'Argentine Pesos', 1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Booleans" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "True and True\n", - "False or True" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = [1, 2, 3]\n", - "if a:\n", - " print 'I found something!'\n", - "\n", - "b = []\n", - "if not b:\n", - " print 'Empty!'" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "bool([]), bool([1, 2, 3])\n", - "bool('Hello world!'), bool('')\n", - "bool(0), bool(1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Type casting" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "s = '3.14159'\n", - "fval = float(s)\n", - "type(fval)\n", - "int(fval)\n", - "bool(fval)\n", - "bool(0)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "None" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = None\n", - "a is None\n", - "b = 5\n", - "b is not None" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def add_and_maybe_multiply(a, b, c=None):\n", - " result = a + b\n", - "\n", - " if c is not None:\n", - " result = result * c\n", - "\n", - " return result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Dates and times" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from datetime import datetime, date, time\n", - "dt = datetime(2011, 10, 29, 20, 30, 21)\n", - "dt.day\n", - "dt.minute" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dt.date()\n", - "dt.time()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dt.strftime('%m/%d/%Y %H:%M')\n" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "datetime.strptime('20091031', '%Y%m%d')\n" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dt.replace(minute=0, second=0)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dt2 = datetime(2011, 11, 15, 22, 30)\n", - "delta = dt2 - dt\n", - "delta\n", - "type(delta)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dt\n", - "dt + delta" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Control Flow" - ] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "If, elif, and else" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "if x < 0:\n", - " print 'It's negative'" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "if x < 0:\n", - " print 'It's negative'\n", - "elif x == 0:\n", - " print 'Equal to zero'\n", - "elif 0 < x < 5:\n", - " print 'Positive but smaller than 5'\n", - "else:\n", - " print 'Positive and larger than 5'" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = 5; b = 7\n", - "c = 8; d = 4\n", - "if a < b or c > d:\n", - " print 'Made it'" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "For loops" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "for value in collection:\n", - " # do something with value" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "sequence = [1, 2, None, 4, None, 5]\n", - "total = 0\n", - "for value in sequence:\n", - " if value is None:\n", - " continue\n", - " total += value" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "sequence = [1, 2, 0, 4, 6, 5, 2, 1]\n", - "total_until_5 = 0\n", - "for value in sequence:\n", - " if value == 5:\n", - " break\n", - " total_until_5 += value" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "for a, b, c in iterator:\n", - " # do something" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "While loops" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "x = 256\n", - "total = 0\n", - "while x > 0:\n", - " if total > 500:\n", - " break\n", - " total += x\n", - " x = x // 2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "pass" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "if x < 0:\n", - " print 'negative!'\n", - "elif x == 0:\n", - " # TODO: put something smart here\n", - " pass\n", - "else:\n", - " print 'positive!'" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def f(x, y, z):\n", - " # TODO: implement this function!\n", - " pass\n" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Exception handling" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "float('1.2345')\n", - "float('something')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def attempt_float(x):\n", - " try:\n", - " return float(x)\n", - " except:\n", - " return x" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "attempt_float('1.2345')\n", - "attempt_float('something')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "float((1, 2))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def attempt_float(x):\n", - " try:\n", - " return float(x)\n", - " except ValueError:\n", - " return x" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "attempt_float((1, 2))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def attempt_float(x):\n", - " try:\n", - " return float(x)\n", - " except (TypeError, ValueError):\n", - " return x" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "f = open(path, 'w')\n", - "\n", - "try:\n", - " write_to_file(f)\n", - "finally:\n", - " f.close()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "f = open(path, 'w')\n", - "\n", - "try:\n", - " write_to_file(f)\n", - "except:\n", - " print 'Failed'\n", - "else:\n", - " print 'Succeeded'\n", - "finally:\n", - " f.close()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "range and xrange" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "range(10)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "range(0, 20, 2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "seq = [1, 2, 3, 4]\n", - "for i in range(len(seq)):\n", - " val = seq[i]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "sum = 0\n", - "for i in xrange(10000):\n", - " # % is the modulo operator\n", - " if x % 3 == 0 or x % 5 == 0:\n", - " sum += i\n" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Ternary Expressions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "x = 5\n", - "value = 'Non-negative' if x >= 0 else 'Negative'" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Data structures and sequences" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Tuple" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tup = 4, 5, 6\n", - "tup" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "nested_tup = (4, 5, 6), (7, 8)\n", - "nested_tup" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tuple([4, 0, 2])\n", - "tup = tuple('string')\n", - "tup" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tup[0]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tup = tuple(['foo', [1, 2], True])\n", - "tup[2] = False\n", - "\n", - "# however\n", - "tup[1].append(3)\n", - "tup" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "(4, None, 'foo') + (6, 0) + ('bar',)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "('foo', 'bar') * 4" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Unpacking tuples" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tup = (4, 5, 6)\n", - "a, b, c = tup\n", - "b" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tup = 4, 5, (6, 7)\n", - "a, b, (c, d) = tup\n", - "d" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "tmp = a\n", - "a = b\n", - "b = tmp" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "b, a = a, b" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "\n", - "seq = [(1, 2, 3), (4, 5, 6), (7, 8, 9)]\n", - "for a, b, c in seq:\n", - " pass" - ] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Tuple methods" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = (1, 2, 2, 2, 3, 4, 2)\n", - "a.count(2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "List" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a_list = [2, 3, 7, None]\n", - "\n", - "tup = ('foo', 'bar', 'baz')\n", - "b_list = list(tup)\n", - "b_list\n", - "b_list[1] = 'peekaboo'\n", - "b_list" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Adding and removing elements" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "b_list.append('dwarf')\n", - "b_list" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "b_list.insert(1, 'red')\n", - "b_list" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "b_list.pop(2)\n", - "b_list" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "b_list.append('foo')\n", - "b_list.remove('foo')\n", - "b_list" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "'dwarf' in b_list" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Concatenating and combining lists" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "[4, None, 'foo'] + [7, 8, (2, 3)]\n" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "x = [4, None, 'foo']\n", - "x.extend([7, 8, (2, 3)])\n", - "x" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "everything = []\n", - "for chunk in list_of_lists:\n", - " everything.extend(chunk)\n" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "everything = []\n", - "for chunk in list_of_lists:\n", - " everything = everything + chunk" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Sorting" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = [7, 2, 5, 1, 3]\n", - "a.sort()\n", - "a" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "b = ['saw', 'small', 'He', 'foxes', 'six']\n", - "b.sort(key=len)\n", - "b" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Binary search and maintaining a sorted list" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import bisect\n", - "c = [1, 2, 2, 2, 3, 4, 7]\n", - "bisect.bisect(c, 2)\n", - "bisect.bisect(c, 5)\n", - "bisect.insort(c, 6)\n", - "c" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Slicing" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "seq = [7, 2, 3, 7, 5, 6, 0, 1]\n", - "seq[1:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "seq[3:4] = [6, 3]\n", - "seq" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "seq[:5]\n", - "seq[3:]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "seq[-4:]\n", - "seq[-6:-2]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "seq[::2]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "seq[::-1]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Built-in Sequence Functions" - ] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "enumerate" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "\n", - "i = 0\n", - "for value in collection:\n", - " # do something with value\n", - " i += 1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "for i, value in enumerate(collection):\n", - " # do something with value" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "some_list = ['foo', 'bar', 'baz']\n", - "mapping = dict((v, i) for i, v in enumerate(some_list))\n", - "mapping" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "sorted" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "sorted([7, 1, 2, 6, 0, 3, 2])\n", - "sorted('horse race')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "sorted(set('this is just some string'))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "zip" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "seq1 = ['foo', 'bar', 'baz']\n", - "seq2 = ['one', 'two', 'three']\n", - "zip(seq1, seq2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "seq3 = [False, True]\n", - "zip(seq1, seq2, seq3)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "for i, (a, b) in enumerate(zip(seq1, seq2)):\n", - " print('%d: %s, %s' % (i, a, b))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pitchers = [('Nolan', 'Ryan'), ('Roger', 'Clemens'),\n", - " ('Schilling', 'Curt')]\n", - "first_names, last_names = zip(*pitchers)\n", - "first_names\n", - "last_names" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "zip(seq[0], seq[1], ..., seq[len(seq) - 1])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "reversed" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "list(reversed(range(10)))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Dict" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "empty_dict = {}\n", - "d1 = {'a' : 'some value', 'b' : [1, 2, 3, 4]}\n", - "d1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "d1[7] = 'an integer'\n", - "d1\n", - "d1['b']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "'b' in d1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "d1[5] = 'some value'\n", - "d1['dummy'] = 'another value'\n", - "del d1[5]\n", - "ret = d1.pop('dummy')\n", - "ret" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "d1.keys()\n", - "d1.values()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "d1.update({'b' : 'foo', 'c' : 12})\n", - "d1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Creating dicts from sequences" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "mapping = {}\n", - "for key, value in zip(key_list, value_list):\n", - " mapping[key] = value" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "mapping = dict(zip(range(5), reversed(range(5))))\n", - "mapping" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Default values" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "if key in some_dict:\n", - " value = some_dict[key]\n", - "else:\n", - " value = default_value" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "value = some_dict.get(key, default_value)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "words = ['apple', 'bat', 'bar', 'atom', 'book']\n", - "by_letter = {}\n", - "\n", - "for word in words:\n", - " letter = word[0]\n", - " if letter not in by_letter:\n", - " by_letter[letter] = [word]\n", - " else:\n", - " by_letter[letter].append(word)\n", - "\n", - "by_letter" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "by_letter.setdefault(letter, []).append(word)" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from collections import defaultdict\n", - "by_letter = defaultdict(list)\n", - "for word in words:\n", - " by_letter[word[0]].append(word)\n" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "counts = defaultdict(lambda: 4)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Valid dict key types" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "hash('string')\n", - "hash((1, 2, (2, 3)))\n", - "hash((1, 2, [2, 3])) # fails because lists are mutable" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "d = {}\n", - "d[tuple([1, 2, 3])] = 5\n", - "d" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Set" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "set([2, 2, 2, 1, 3, 3])\n", - "{2, 2, 2, 1, 3, 3}" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = {1, 2, 3, 4, 5}\n", - "b = {3, 4, 5, 6, 7, 8}\n", - "a | b # union (or)\n", - "a & b # intersection (and)\n", - "a - b # difference\n", - "a ^ b # symmetric difference (xor)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a_set = {1, 2, 3, 4, 5}\n", - "{1, 2, 3}.issubset(a_set)\n", - "a_set.issuperset({1, 2, 3})" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "{1, 2, 3} == {3, 2, 1}" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "List, set, and dict comprehensions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "strings = ['a', 'as', 'bat', 'car', 'dove', 'python']\n", - "[x.upper() for x in strings if len(x) > 2]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "unique_lengths = {len(x) for x in strings}\n", - "unique_lengths" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "loc_mapping = {val : index for index, val in enumerate(strings)}\n", - "loc_mapping" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "loc_mapping = dict((val, idx) for idx, val in enumerate(strings)}" - ] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Nested list comprehensions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "all_data = [['Tom', 'Billy', 'Jefferson', 'Andrew', 'Wesley', 'Steven', 'Joe'],\n", - " ['Susie', 'Casey', 'Jill', 'Ana', 'Eva', 'Jennifer', 'Stephanie']]\n" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "names_of_interest = []\n", - "for names in all_data:\n", - " enough_es = [name for name in names if name.count('e') > 2]\n", - " names_of_interest.extend(enough_es)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = [name for names in all_data for name in names\n", - " if name.count('e') >= 2]\n", - "result\n" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "some_tuples = [(1, 2, 3), (4, 5, 6), (7, 8, 9)]\n", - "flattened = [x for tup in some_tuples for x in tup]\n", - "flattened" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "flattened = []\n", - "\n", - "for tup in some_tuples:\n", - " for x in tup:\n", - " flattened.append(x)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "In [229]: [[x for x in tup] for tup in some_tuples]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Functions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def my_function(x, y, z=1.5):\n", - " if z > 1:\n", - " return z * (x + y)\n", - " else:\n", - " return z / (x + y)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "my_function(5, 6, z=0.7)\n", - "my_function(3.14, 7, 3.5)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Namespaces, scope, and local functions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def func():\n", - " a = []\n", - " for i in range(5):\n", - " a.append(i)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = []\n", - "def func():\n", - " for i in range(5):\n", - " a.append(i)\n" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = None\n", - "def bind_a_variable():\n", - " global a\n", - " a = []\n", - "bind_a_variable()\n", - "print a" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def outer_function(x, y, z):\n", - " def inner_function(a, b, c):\n", - " pass\n", - " pass" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Returning multiple values" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def f():\n", - " a = 5\n", - " b = 6\n", - " c = 7\n", - " return a, b, c\n", - "\n", - "a, b, c = f()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "return_value = f()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def f():\n", - " a = 5\n", - " b = 6\n", - " c = 7\n", - " return {'a' : a, 'b' : b, 'c' : c}" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Functions are objects" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "\n", - "states = [' Alabama ', 'Georgia!', 'Georgia', 'georgia', 'FlOrIda',\n", - " 'south carolina##', 'West virginia?']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import re # Regular expression module\n", - "\n", - "def clean_strings(strings):\n", - " result = []\n", - " for value in strings:\n", - " value = value.strip()\n", - " value = re.sub('[!#?]', '', value) # remove punctuation\n", - " value = value.title()\n", - " result.append(value)\n", - " return result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "In [15]: clean_strings(states)\n", - "Out[15]:\n", - "['Alabama',\n", - " 'Georgia',\n", - " 'Georgia',\n", - " 'Georgia',\n", - " 'Florida',\n", - " 'South Carolina',\n", - " 'West Virginia']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def remove_punctuation(value):\n", - " return re.sub('[!#?]', '', value)\n", - "\n", - "clean_ops = [str.strip, remove_punctuation, str.title]\n", - "\n", - "def clean_strings(strings, ops):\n", - " result = []\n", - " for value in strings:\n", - " for function in ops:\n", - " value = function(value)\n", - " result.append(value)\n", - " return result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "In [22]: clean_strings(states, clean_ops)\n", - "Out[22]:\n", - "['Alabama',\n", - " 'Georgia',\n", - " 'Georgia',\n", - " 'Georgia',\n", - " 'Florida',\n", - " 'South Carolina',\n", - " 'West Virginia']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "In [23]: map(remove_punctuation, states)\n", - "Out[23]:\n", - "[' Alabama ',\n", - " 'Georgia',\n", - " 'Georgia',\n", - " 'georgia',\n", - " 'FlOrIda',\n", - " 'south carolina',\n", - " 'West virginia']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Anonymous (lambda) functions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def short_function(x):\n", - " return x * 2\n", - "\n", - "equiv_anon = lambda x: x * 2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def apply_to_list(some_list, f):\n", - " return [f(x) for x in some_list]\n", - "\n", - "ints = [4, 0, 1, 5, 6]\n", - "apply_to_list(ints, lambda x: x * 2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "strings = ['foo', 'card', 'bar', 'aaaa', 'abab']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "strings.sort(key=lambda x: len(set(list(x))))\n", - "strings" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Closures: functions that return functions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def make_closure(a):\n", - " def closure():\n", - " print('I know the secret: %d' % a)\n", - " return closure\n", - "\n", - "closure = make_closure(5)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def make_watcher():\n", - " have_seen = {}\n", - "\n", - " def has_been_seen(x):\n", - " if x in have_seen:\n", - " return True\n", - " else:\n", - " have_seen[x] = True\n", - " return False\n", - "\n", - " return has_been_seen" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "watcher = make_watcher()\n", - "vals = [5, 6, 1, 5, 1, 6, 3, 5]\n", - "[watcher(x) for x in vals]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "def make_counter():\n", - " count = [0]\n", - " def counter():\n", - " # increment and return the current count\n", - " count[0] += 1\n", - " return count[0]\n", - " return counter\n", - "\n", - "counter = make_counter()" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def format_and_pad(template, space):\n", - " def formatter(x):\n", - " return (template % x).rjust(space)\n", - "\n", - " return formatter" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fmt = format_and_pad('%.4f', 15)\n", - "fmt(1.756)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Extended call syntax with *args, **kwargs" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a, b, c = args\n", - "d = kwargs.get('d', d_default_value)\n", - "e = kwargs.get('e', e_default_value)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def say_hello_then_call_f(f, *args, **kwargs):\n", - " print 'args is', args\n", - " print 'kwargs is', kwargs\n", - " print(\"Hello! Now I'm going to call %s\" % f)\n", - " return f(*args, **kwargs)\n", - "\n", - "def g(x, y, z=1):\n", - " return (x + y) / z" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "In [8]: say_hello_then_call_f(g, 1, 2, z=5.)\n", - "args is (1, 2)\n", - "kwargs is {'z': 5.0}\n", - "Hello! Now I'm going to call \n", - "Out[8]: 0.6" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Currying: partial argument application" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def add_numbers(x, y):\n", - " return x + y" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "add_five = lambda y: add_numbers(5, y)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from functools import partial\n", - "add_five = partial(add_numbers, 5)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# compute 60-day moving average of time series x\n", - "ma60 = lambda x: pandas.rolling_mean(x, 60)\n", - "\n", - "# Take the 60-day moving average of of all time series in data\n", - "data.apply(ma60)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Generators" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "some_dict = {'a': 1, 'b': 2, 'c': 3}\n", - "for key in some_dict:\n", - " print key," - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dict_iterator = iter(some_dict)\n", - "dict_iterator" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "list(dict_iterator)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def squares(n=10):\n", - " for i in xrange(1, n + 1):\n", - " print 'Generating squares from 1 to %d' % (n ** 2)\n", - " yield i ** 2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "In [2]: gen = squares()\n", - "\n", - "In [3]: gen\n", - "Out[3]: " - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "In [4]: for x in gen:\n", - " ...: print x,\n", - " ...:\n", - "Generating squares from 0 to 100\n", - "1 4 9 16 25 36 49 64 81 100" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def make_change(amount, coins=[1, 5, 10, 25], hand=None):\n", - " hand = [] if hand is None else hand\n", - " if amount == 0:\n", - " yield hand\n", - " for coin in coins:\n", - " # ensures we don't give too much change, and combinations are unique\n", - " if coin > amount or (len(hand) > 0 and hand[-1] < coin):\n", - " continue\n", - "\n", - " for result in make_change(amount - coin, coins=coins,\n", - " hand=hand + [coin]):\n", - " yield result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "for way in make_change(100, coins=[10, 25, 50]):\n", - " print way\n", - "len(list(make_change(100)))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Generator expresssions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "gen = (x ** 2 for x in xrange(100))\n", - "gen" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def _make_gen():\n", - " for x in xrange(100):\n", - " yield x ** 2\n", - "gen = _make_gen()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "sum(x ** 2 for x in xrange(100))\n", - "dict((i, i **2) for i in xrange(5))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "itertools module" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import itertools\n", - "first_letter = lambda x: x[0]\n", - "\n", - "names = ['Alan', 'Adam', 'Wes', 'Will', 'Albert', 'Steven']\n", - "\n", - "for letter, names in itertools.groupby(names, first_letter):\n", - " print letter, list(names) # names is a generator" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Files and the operating system" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "path = 'ch13/segismundo.txt'\n", - "f = open(path)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "for line in f:\n", - " pass" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "lines = [x.rstrip() for x in open(path)]\n", - "lines" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "with open('tmp.txt', 'w') as handle:\n", - " handle.writelines(x for x in open(path) if len(x) > 1)\n", - "\n", - "open('tmp.txt').readlines()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "os.remove('tmp.txt')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} - } - ] -} \ No newline at end of file diff --git a/ch02.ipynb b/ch02.ipynb index 1f1f0039b..2f8e0015f 100644 --- a/ch02.ipynb +++ b/ch02.ipynb @@ -1,1319 +1,705 @@ { + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "np.random.seed(12345)\n", + "np.set_printoptions(precision=4, suppress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "data = [np.random.standard_normal() for i in range(7)]\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "a = [1, 2, 3]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "b = a\n", + "b" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "a.append(4)\n", + "b" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def append_element(some_list, element):\n", + " some_list.append(element)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "data = [1, 2, 3]\n", + "append_element(data, 4)\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "a = 5\n", + "type(a)\n", + "a = \"foo\"\n", + "type(a)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "\"5\" + 5" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "a = 4.5\n", + "b = 2\n", + "# String formatting, to be visited later\n", + "print(f\"a is {type(a)}, b is {type(b)}\")\n", + "a / b" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "a = 5\n", + "isinstance(a, int)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "a = 5; b = 4.5\n", + "isinstance(a, (int, float))\n", + "isinstance(b, (int, float))" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "a = \"foo\"" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "getattr(a, \"split\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "def isiterable(obj):\n", + " try:\n", + " iter(obj)\n", + " return True\n", + " except TypeError: # not iterable\n", + " return False" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "isiterable(\"a string\")\n", + "isiterable([1, 2, 3])\n", + "isiterable(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "5 - 7\n", + "12 + 21.5\n", + "5 <= 2" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "a = [1, 2, 3]\n", + "b = a\n", + "c = list(a)\n", + "a is b\n", + "a is not c" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "a == c" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "a = None\n", + "a is None" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "a_list = [\"foo\", 2, [4, 5]]\n", + "a_list[2] = (3, 4)\n", + "a_list" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "a_tuple = (3, 5, (4, 5))\n", + "a_tuple[1] = \"four\"" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "ival = 17239871\n", + "ival ** 6" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "fval = 7.243\n", + "fval2 = 6.78e-5" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "3 / 2" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "3 // 2" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "c = \"\"\"\n", + "This is a longer string that\n", + "spans multiple lines\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "c.count(\"\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "a = \"this is a string\"\n", + "a[10] = \"f\"" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "b = a.replace(\"string\", \"longer string\")\n", + "b" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "a" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "a = 5.6\n", + "s = str(a)\n", + "print(s)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "s = \"python\"\n", + "list(s)\n", + "s[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "s = \"12\\\\34\"\n", + "print(s)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "s = r\"this\\has\\no\\special\\characters\"\n", + "s" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "a = \"this is the first half \"\n", + "b = \"and this is the second half\"\n", + "a + b" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "template = \"{0:.2f} {1:s} are worth US${2:d}\"" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "template.format(88.46, \"Argentine Pesos\", 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "amount = 10\n", + "rate = 88.46\n", + "currency = \"Pesos\"\n", + "result = f\"{amount} {currency} is worth US${amount / rate}\"" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "f\"{amount} {currency} is worth US${amount / rate:.2f}\"" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "val = \"espa\u00f1ol\"\n", + "val" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "val_utf8 = val.encode(\"utf-8\")\n", + "val_utf8\n", + "type(val_utf8)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "val_utf8.decode(\"utf-8\")" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "val.encode(\"latin1\")\n", + "val.encode(\"utf-16\")\n", + "val.encode(\"utf-16le\")" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "True and True\n", + "False or True" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "int(False)\n", + "int(True)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "a = True\n", + "b = False\n", + "not a\n", + "not b" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "s = \"3.14159\"\n", + "fval = float(s)\n", + "type(fval)\n", + "int(fval)\n", + "bool(fval)\n", + "bool(0)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "a = None\n", + "a is None\n", + "b = 5\n", + "b is not None" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "from datetime import datetime, date, time\n", + "dt = datetime(2011, 10, 29, 20, 30, 21)\n", + "dt.day\n", + "dt.minute" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "dt.date()\n", + "dt.time()" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "dt.strftime(\"%Y-%m-%d %H:%M\")" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "datetime.strptime(\"20091031\", \"%Y%m%d\")" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "dt_hour = dt.replace(minute=0, second=0)\n", + "dt_hour" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "dt" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "dt2 = datetime(2011, 11, 15, 22, 30)\n", + "delta = dt2 - dt\n", + "delta\n", + "type(delta)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "dt\n", + "dt + delta" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "a = 5; b = 7\n", + "c = 8; d = 4\n", + "if a < b or c > d:\n", + " print(\"Made it\")" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "4 > 3 > 2 > 1" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "for i in range(4):\n", + " for j in range(4):\n", + " if j > i:\n", + " break\n", + " print((i, j))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "range(10)\n", + "list(range(10))" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "list(range(0, 20, 2))\n", + "list(range(5, 0, -1))" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "seq = [1, 2, 3, 4]\n", + "for i in range(len(seq)):\n", + " print(f\"element {i}: {seq[i]}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "total = 0\n", + "for i in range(100_000):\n", + " # % is the modulo operator\n", + " if i % 3 == 0 or i % 5 == 0:\n", + " total += i\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { - "name": "", - "signature": "sha256:704e09c486537fba18109341ec0479cffd74de4b440d9a71f469b9b8ac474998" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "heading", - "level": 1, - "metadata": {}, - "source": [ - "Introductory examples" - ] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "1.usa.gov data from bit.ly" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%pwd" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%cd ../book_scripts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "path = 'ch02/usagov_bitly_data2012-03-16-1331923249.txt'" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "open(path).readline()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import json\n", - "path = 'ch02/usagov_bitly_data2012-03-16-1331923249.txt'\n", - "records = [json.loads(line) for line in open(path)]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "records[0]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "records[0]['tz']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print(records[0]['tz'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Counting time zones in pure Python" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "time_zones = [rec['tz'] for rec in records]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "time_zones = [rec['tz'] for rec in records if 'tz' in rec]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "time_zones[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def get_counts(sequence):\n", - " counts = {}\n", - " for x in sequence:\n", - " if x in counts:\n", - " counts[x] += 1\n", - " else:\n", - " counts[x] = 1\n", - " return counts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from collections import defaultdict\n", - "\n", - "def get_counts2(sequence):\n", - " counts = defaultdict(int) # values will initialize to 0\n", - " for x in sequence:\n", - " counts[x] += 1\n", - " return counts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "counts = get_counts(time_zones)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "counts['America/New_York']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "len(time_zones)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def top_counts(count_dict, n=10):\n", - " value_key_pairs = [(count, tz) for tz, count in count_dict.items()]\n", - " value_key_pairs.sort()\n", - " return value_key_pairs[-n:]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "top_counts(counts)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from collections import Counter" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "counts = Counter(time_zones)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "counts.most_common(10)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Counting time zones with pandas" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%matplotlib inline" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from __future__ import division\n", - "from numpy.random import randn\n", - "import numpy as np\n", - "import os\n", - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "plt.rc('figure', figsize=(10, 6))\n", - "np.set_printoptions(precision=4)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import json\n", - "path = 'ch02/usagov_bitly_data2012-03-16-1331923249.txt'\n", - "lines = open(path).readlines()\n", - "records = [json.loads(line) for line in lines]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from pandas import DataFrame, Series\n", - "import pandas as pd\n", - "\n", - "frame = DataFrame(records)\n", - "frame" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame['tz'][:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tz_counts = frame['tz'].value_counts()\n", - "tz_counts[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "clean_tz = frame['tz'].fillna('Missing')\n", - "clean_tz[clean_tz == ''] = 'Unknown'\n", - "tz_counts = clean_tz.value_counts()\n", - "tz_counts[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.figure(figsize=(10, 4))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tz_counts[:10].plot(kind='barh', rot=0)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame['a'][1]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame['a'][50]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame['a'][51]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "results = Series([x.split()[0] for x in frame.a.dropna()])\n", - "results[:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "results.value_counts()[:8]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "cframe = frame[frame.a.notnull()]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "operating_system = np.where(cframe['a'].str.contains('Windows'),\n", - " 'Windows', 'Not Windows')\n", - "operating_system[:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "by_tz_os = cframe.groupby(['tz', operating_system])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "agg_counts = by_tz_os.size().unstack().fillna(0)\n", - "agg_counts[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Use to sort in ascending order\n", - "indexer = agg_counts.sum(1).argsort()\n", - "indexer[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "count_subset = agg_counts.take(indexer)[-10:]\n", - "count_subset" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.figure()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "count_subset.plot(kind='barh', stacked=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.figure()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "normed_subset = count_subset.div(count_subset.sum(1), axis=0)\n", - "normed_subset.plot(kind='barh', stacked=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "MovieLens 1M data set" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import pandas as pd\n", - "encoding = 'latin1'\n", - "\n", - "upath = os.path.expanduser('movielens/ml-1m/users.dat')\n", - "rpath = os.path.expanduser('movielens/ml-1m/ratings.dat')\n", - "mpath = os.path.expanduser('movielens/ml-1m/movies.dat')\n", - "\n", - "unames = ['user_id', 'gender', 'age', 'occupation', 'zip']\n", - "rnames = ['user_id', 'movie_id', 'rating', 'timestamp']\n", - "mnames = ['movie_id', 'title', 'genres']\n", - "\n", - "users = pd.read_csv(upath, sep='::', header=None, names=unames, encoding=encoding)\n", - "ratings = pd.read_csv(rpath, sep='::', header=None, names=rnames, encoding=encoding)\n", - "movies = pd.read_csv(mpath, sep='::', header=None, names=mnames, encoding=encoding)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "users[:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ratings[:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "movies[:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ratings" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = pd.merge(pd.merge(ratings, users), movies)\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.ix[0]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "mean_ratings = data.pivot_table('rating', rows='title',\n", - " cols='gender', aggfunc='mean')\n", - "mean_ratings[:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ratings_by_title = data.groupby('title').size()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ratings_by_title[:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": true, - "input": [ - "active_titles = ratings_by_title.index[ratings_by_title >= 250]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "active_titles[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "mean_ratings = mean_ratings.ix[active_titles]\n", - "mean_ratings" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "mean_ratings = mean_ratings.rename(index={'Seven Samurai (The Magnificent Seven) (Shichinin no samurai) (1954)':\n", - " 'Seven Samurai (Shichinin no samurai) (1954)'})" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "top_female_ratings = mean_ratings.sort_index(by='F', ascending=False)\n", - "top_female_ratings[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Measuring rating disagreement" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "mean_ratings['diff'] = mean_ratings['M'] - mean_ratings['F']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "sorted_by_diff = mean_ratings.sort_index(by='diff')\n", - "sorted_by_diff[:15]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Reverse order of rows, take first 15 rows\n", - "sorted_by_diff[::-1][:15]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Standard deviation of rating grouped by title\n", - "rating_std_by_title = data.groupby('title')['rating'].std()\n", - "# Filter down to active_titles\n", - "rating_std_by_title = rating_std_by_title.ix[active_titles]\n", - "# Order Series by value in descending order\n", - "rating_std_by_title.order(ascending=False)[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### US Baby Names 1880-2010" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from __future__ import division\n", - "from numpy.random import randn\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "plt.rc('figure', figsize=(12, 5))\n", - "np.set_printoptions(precision=4)\n", - "%pwd" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "http://www.ssa.gov/oact/babynames/limits.html" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "!head -n 10 baby_names/names/yob1880.txt" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import pandas as pd\n", - "names1880 = pd.read_csv('baby_names/names/yob1880.txt', names=['name', 'sex', 'births'])\n", - "names1880" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "names1880.groupby('sex').births.sum()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# 2010 is the last available year right now\n", - "years = range(1880, 2011)\n", - "\n", - "pieces = []\n", - "columns = ['name', 'sex', 'births']\n", - "\n", - "for year in years:\n", - " path = 'baby_names/names/yob%d.txt' % year\n", - " frame = pd.read_csv(path, names=columns)\n", - "\n", - " frame['year'] = year\n", - " pieces.append(frame)\n", - "\n", - "# Concatenate everything into a single DataFrame\n", - "names = pd.concat(pieces, ignore_index=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "names = pd.read_pickle('baby_names/all_names')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "names" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "total_births = names.pivot_table('births', rows='year',\n", - " cols='sex', aggfunc=sum)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "total_births.tail()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "total_births.plot(title='Total births by sex and year')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def add_prop(group):\n", - " # Integer division floors\n", - " births = group.births.astype(float)\n", - "\n", - " group['prop'] = births / births.sum()\n", - " return group\n", - "names = names.groupby(['year', 'sex']).apply(add_prop)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "names" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.allclose(names.groupby(['year', 'sex']).prop.sum(), 1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def get_top1000(group):\n", - " return group.sort_index(by='births', ascending=False)[:1000]\n", - "grouped = names.groupby(['year', 'sex'])\n", - "top1000 = grouped.apply(get_top1000)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pieces = []\n", - "for year, group in names.groupby(['year', 'sex']):\n", - " pieces.append(group.sort_index(by='births', ascending=False)[:1000])\n", - "top1000 = pd.concat(pieces, ignore_index=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "top1000.index = np.arange(len(top1000))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "top1000" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Analyzing naming trends" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "boys = top1000[top1000.sex == 'M']\n", - "girls = top1000[top1000.sex == 'F']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "total_births = top1000.pivot_table('births', rows='year', cols='name',\n", - " aggfunc=sum)\n", - "total_births" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "subset = total_births[['John', 'Harry', 'Mary', 'Marilyn']]\n", - "subset.plot(subplots=True, figsize=(12, 10), grid=False,\n", - " title=\"Number of births per year\")" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Measuring the increase in naming diversity" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.figure()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "table = top1000.pivot_table('prop', rows='year',\n", - " cols='sex', aggfunc=sum)\n", - "table.plot(title='Sum of table1000.prop by year and sex',\n", - " yticks=np.linspace(0, 1.2, 13), xticks=range(1880, 2020, 10))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = boys[boys.year == 2010]\n", - "df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "prop_cumsum = df.sort_index(by='prop', ascending=False).prop.cumsum()\n", - "prop_cumsum[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "prop_cumsum.values.searchsorted(0.5)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = boys[boys.year == 1900]\n", - "in1900 = df.sort_index(by='prop', ascending=False).prop.cumsum()\n", - "in1900.values.searchsorted(0.5) + 1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def get_quantile_count(group, q=0.5):\n", - " group = group.sort_index(by='prop', ascending=False)\n", - " return group.prop.cumsum().values.searchsorted(q) + 1\n", - "\n", - "diversity = top1000.groupby(['year', 'sex']).apply(get_quantile_count)\n", - "diversity = diversity.unstack('sex')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def get_quantile_count(group, q=0.5):\n", - " group = group.sort_index(by='prop', ascending=False)\n", - " return group.prop.cumsum().values.searchsorted(q) + 1\n", - "diversity = top1000.groupby(['year', 'sex']).apply(get_quantile_count)\n", - "diversity = diversity.unstack('sex')\n", - "diversity.head()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "diversity.plot(title=\"Number of popular names in top 50%\")" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "The \"Last letter\" Revolution" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# extract last letter from name column\n", - "get_last_letter = lambda x: x[-1]\n", - "last_letters = names.name.map(get_last_letter)\n", - "last_letters.name = 'last_letter'\n", - "\n", - "table = names.pivot_table('births', rows=last_letters,\n", - " cols=['sex', 'year'], aggfunc=sum)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "subtable = table.reindex(columns=[1910, 1960, 2010], level='year')\n", - "subtable.head()\n", - "subtable.sum()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "letter_prop = subtable / subtable.sum().astype(float)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import matplotlib.pyplot as plt\n", - "\n", - "fig, axes = plt.subplots(2, 1, figsize=(10, 8))\n", - "letter_prop['M'].plot(kind='bar', rot=0, ax=axes[0], title='Male')\n", - "letter_prop['F'].plot(kind='bar', rot=0, ax=axes[1], title='Female',\n", - " legend=False)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.subplots_adjust(hspace=0.25)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "letter_prop = table / table.sum().astype(float)\n", - "\n", - "dny_ts = letter_prop.ix[['d', 'n', 'y'], 'M'].T\n", - "dny_ts.head()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.close('all')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dny_ts.plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Boy names that became girl names (and vice versa)" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "all_names = top1000.name.unique()\n", - "mask = np.array(['lesl' in x.lower() for x in all_names])\n", - "lesley_like = all_names[mask]\n", - "lesley_like" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "filtered = top1000[top1000.name.isin(lesley_like)]\n", - "filtered.groupby('name').births.sum()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "table = filtered.pivot_table('births', rows='year',\n", - " cols='sex', aggfunc='sum')\n", - "table = table.div(table.sum(1), axis=0)\n", - "table.tail()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.close('all')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "table.plot(style={'M': 'k-', 'F': 'k--'})" - ], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" } - ] + }, + "nbformat": 4, + "nbformat_minor": 4 } \ No newline at end of file diff --git a/ch03.ipynb b/ch03.ipynb new file mode 100644 index 000000000..c7f6de11d --- /dev/null +++ b/ch03.ipynb @@ -0,0 +1,1373 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "tup = (4, 5, 6)\n", + "tup" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "tup = 4, 5, 6\n", + "tup" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "tuple([4, 0, 2])\n", + "tup = tuple('string')\n", + "tup" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "tup[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "nested_tup = (4, 5, 6), (7, 8)\n", + "nested_tup\n", + "nested_tup[0]\n", + "nested_tup[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "tup = tuple(['foo', [1, 2], True])\n", + "tup[2] = False" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "tup[1].append(3)\n", + "tup" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "(4, None, 'foo') + (6, 0) + ('bar',)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "('foo', 'bar') * 4" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "tup = (4, 5, 6)\n", + "a, b, c = tup\n", + "b" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "tup = 4, 5, (6, 7)\n", + "a, b, (c, d) = tup\n", + "d" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "a, b = 1, 2\n", + "a\n", + "b\n", + "b, a = a, b\n", + "a\n", + "b" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "seq = [(1, 2, 3), (4, 5, 6), (7, 8, 9)]\n", + "for a, b, c in seq:\n", + " print(f'a={a}, b={b}, c={c}')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "values = 1, 2, 3, 4, 5\n", + "a, b, *rest = values\n", + "a\n", + "b\n", + "rest" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "a, b, *_ = values" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "a = (1, 2, 2, 2, 3, 4, 2)\n", + "a.count(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "a_list = [2, 3, 7, None]\n", + "\n", + "tup = (\"foo\", \"bar\", \"baz\")\n", + "b_list = list(tup)\n", + "b_list\n", + "b_list[1] = \"peekaboo\"\n", + "b_list" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "gen = range(10)\n", + "gen\n", + "list(gen)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "b_list.append(\"dwarf\")\n", + "b_list" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "b_list.insert(1, \"red\")\n", + "b_list" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "b_list.pop(2)\n", + "b_list" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "b_list.append(\"foo\")\n", + "b_list\n", + "b_list.remove(\"foo\")\n", + "b_list" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "\"dwarf\" in b_list" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "\"dwarf\" not in b_list" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "[4, None, \"foo\"] + [7, 8, (2, 3)]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "x = [4, None, \"foo\"]\n", + "x.extend([7, 8, (2, 3)])\n", + "x" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "a = [7, 2, 5, 1, 3]\n", + "a.sort()\n", + "a" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "b = [\"saw\", \"small\", \"He\", \"foxes\", \"six\"]\n", + "b.sort(key=len)\n", + "b" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "seq = [7, 2, 3, 7, 5, 6, 0, 1]\n", + "seq[1:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "seq[3:5] = [6, 3]\n", + "seq" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "seq[:5]\n", + "seq[3:]" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "seq[-4:]\n", + "seq[-6:-2]" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "seq[::2]" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "seq[::-1]" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "empty_dict = {}\n", + "d1 = {\"a\": \"some value\", \"b\": [1, 2, 3, 4]}\n", + "d1" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "d1[7] = \"an integer\"\n", + "d1\n", + "d1[\"b\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "\"b\" in d1" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "d1[5] = \"some value\"\n", + "d1\n", + "d1[\"dummy\"] = \"another value\"\n", + "d1\n", + "del d1[5]\n", + "d1\n", + "ret = d1.pop(\"dummy\")\n", + "ret\n", + "d1" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "list(d1.keys())\n", + "list(d1.values())" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "list(d1.items())" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "d1.update({\"b\": \"foo\", \"c\": 12})\n", + "d1" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "tuples = zip(range(5), reversed(range(5)))\n", + "tuples\n", + "mapping = dict(tuples)\n", + "mapping" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "words = [\"apple\", \"bat\", \"bar\", \"atom\", \"book\"]\n", + "by_letter = {}\n", + "\n", + "for word in words:\n", + " letter = word[0]\n", + " if letter not in by_letter:\n", + " by_letter[letter] = [word]\n", + " else:\n", + " by_letter[letter].append(word)\n", + "\n", + "by_letter" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "by_letter = {}\n", + "for word in words:\n", + " letter = word[0]\n", + " by_letter.setdefault(letter, []).append(word)\n", + "by_letter" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "from collections import defaultdict\n", + "by_letter = defaultdict(list)\n", + "for word in words:\n", + " by_letter[word[0]].append(word)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "hash(\"string\")\n", + "hash((1, 2, (2, 3)))\n", + "hash((1, 2, [2, 3])) # fails because lists are mutable" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "d = {}\n", + "d[tuple([1, 2, 3])] = 5\n", + "d" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "set([2, 2, 2, 1, 3, 3])\n", + "{2, 2, 2, 1, 3, 3}" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "a = {1, 2, 3, 4, 5}\n", + "b = {3, 4, 5, 6, 7, 8}" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "a.union(b)\n", + "a | b" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "a.intersection(b)\n", + "a & b" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "c = a.copy()\n", + "c |= b\n", + "c\n", + "d = a.copy()\n", + "d &= b\n", + "d" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "my_data = [1, 2, 3, 4]\n", + "my_set = {tuple(my_data)}\n", + "my_set" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "a_set = {1, 2, 3, 4, 5}\n", + "{1, 2, 3}.issubset(a_set)\n", + "a_set.issuperset({1, 2, 3})" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "{1, 2, 3} == {3, 2, 1}" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "sorted([7, 1, 2, 6, 0, 3, 2])\n", + "sorted(\"horse race\")" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "seq1 = [\"foo\", \"bar\", \"baz\"]\n", + "seq2 = [\"one\", \"two\", \"three\"]\n", + "zipped = zip(seq1, seq2)\n", + "list(zipped)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "seq3 = [False, True]\n", + "list(zip(seq1, seq2, seq3))" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "for index, (a, b) in enumerate(zip(seq1, seq2)):\n", + " print(f\"{index}: {a}, {b}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "list(reversed(range(10)))" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "strings = [\"a\", \"as\", \"bat\", \"car\", \"dove\", \"python\"]\n", + "[x.upper() for x in strings if len(x) > 2]" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "unique_lengths = {len(x) for x in strings}\n", + "unique_lengths" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "set(map(len, strings))" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "loc_mapping = {value: index for index, value in enumerate(strings)}\n", + "loc_mapping" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "all_data = [[\"John\", \"Emily\", \"Michael\", \"Mary\", \"Steven\"],\n", + " [\"Maria\", \"Juan\", \"Javier\", \"Natalia\", \"Pilar\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "names_of_interest = []\n", + "for names in all_data:\n", + " enough_as = [name for name in names if name.count(\"a\") >= 2]\n", + " names_of_interest.extend(enough_as)\n", + "names_of_interest" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "result = [name for names in all_data for name in names\n", + " if name.count(\"a\") >= 2]\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "some_tuples = [(1, 2, 3), (4, 5, 6), (7, 8, 9)]\n", + "flattened = [x for tup in some_tuples for x in tup]\n", + "flattened" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "flattened = []\n", + "\n", + "for tup in some_tuples:\n", + " for x in tup:\n", + " flattened.append(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "[[x for x in tup] for tup in some_tuples]" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "def my_function(x, y):\n", + " return x + y" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "my_function(1, 2)\n", + "result = my_function(1, 2)\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "def function_without_return(x):\n", + " print(x)\n", + "\n", + "result = function_without_return(\"hello!\")\n", + "print(result)" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [], + "source": [ + "def my_function2(x, y, z=1.5):\n", + " if z > 1:\n", + " return z * (x + y)\n", + " else:\n", + " return z / (x + y)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "my_function2(5, 6, z=0.7)\n", + "my_function2(3.14, 7, 3.5)\n", + "my_function2(10, 20)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "a = []\n", + "def func():\n", + " for i in range(5):\n", + " a.append(i)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "func()\n", + "a\n", + "func()\n", + "a" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "a = None\n", + "def bind_a_variable():\n", + " global a\n", + " a = []\n", + "bind_a_variable()\n", + "print(a)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [], + "source": [ + "states = [\" Alabama \", \"Georgia!\", \"Georgia\", \"georgia\", \"FlOrIda\",\n", + " \"south carolina##\", \"West virginia?\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "import re\n", + "\n", + "def clean_strings(strings):\n", + " result = []\n", + " for value in strings:\n", + " value = value.strip()\n", + " value = re.sub(\"[!#?]\", \"\", value)\n", + " value = value.title()\n", + " result.append(value)\n", + " return result" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "clean_strings(states)" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "def remove_punctuation(value):\n", + " return re.sub(\"[!#?]\", \"\", value)\n", + "\n", + "clean_ops = [str.strip, remove_punctuation, str.title]\n", + "\n", + "def clean_strings(strings, ops):\n", + " result = []\n", + " for value in strings:\n", + " for func in ops:\n", + " value = func(value)\n", + " result.append(value)\n", + " return result" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [], + "source": [ + "clean_strings(states, clean_ops)" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [], + "source": [ + "for x in map(remove_punctuation, states):\n", + " print(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "def short_function(x):\n", + " return x * 2\n", + "\n", + "equiv_anon = lambda x: x * 2" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [], + "source": [ + "def apply_to_list(some_list, f):\n", + " return [f(x) for x in some_list]\n", + "\n", + "ints = [4, 0, 1, 5, 6]\n", + "apply_to_list(ints, lambda x: x * 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "strings = [\"foo\", \"card\", \"bar\", \"aaaa\", \"abab\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [], + "source": [ + "strings.sort(key=lambda x: len(set(x)))\n", + "strings" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [], + "source": [ + "some_dict = {\"a\": 1, \"b\": 2, \"c\": 3}\n", + "for key in some_dict:\n", + " print(key)" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [], + "source": [ + "dict_iterator = iter(some_dict)\n", + "dict_iterator" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [], + "source": [ + "list(dict_iterator)" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [], + "source": [ + "def squares(n=10):\n", + " print(f\"Generating squares from 1 to {n ** 2}\")\n", + " for i in range(1, n + 1):\n", + " yield i ** 2" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [], + "source": [ + "gen = squares()\n", + "gen" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [], + "source": [ + "for x in gen:\n", + " print(x, end=\" \")" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [], + "source": [ + "gen = (x ** 2 for x in range(100))\n", + "gen" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [], + "source": [ + "sum(x ** 2 for x in range(100))\n", + "dict((i, i ** 2) for i in range(5))" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [], + "source": [ + "import itertools\n", + "def first_letter(x):\n", + " return x[0]\n", + "\n", + "names = [\"Alan\", \"Adam\", \"Wes\", \"Will\", \"Albert\", \"Steven\"]\n", + "\n", + "for letter, names in itertools.groupby(names, first_letter):\n", + " print(letter, list(names)) # names is a generator" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [], + "source": [ + "float(\"1.2345\")\n", + "float(\"something\")" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [], + "source": [ + "def attempt_float(x):\n", + " try:\n", + " return float(x)\n", + " except:\n", + " return x" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [], + "source": [ + "attempt_float(\"1.2345\")\n", + "attempt_float(\"something\")" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [], + "source": [ + "float((1, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [], + "source": [ + "def attempt_float(x):\n", + " try:\n", + " return float(x)\n", + " except ValueError:\n", + " return x" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [], + "source": [ + "attempt_float((1, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [], + "source": [ + "def attempt_float(x):\n", + " try:\n", + " return float(x)\n", + " except (TypeError, ValueError):\n", + " return x" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [], + "source": [ + "path = \"examples/segismundo.txt\"\n", + "f = open(path, encoding=\"utf-8\")" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [], + "source": [ + "lines = [x.rstrip() for x in open(path, encoding=\"utf-8\")]\n", + "lines" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [], + "source": [ + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [], + "source": [ + "with open(path, encoding=\"utf-8\") as f:\n", + " lines = [x.rstrip() for x in f]" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [], + "source": [ + "f1 = open(path)\n", + "f1.read(10)\n", + "f2 = open(path, mode=\"rb\") # Binary mode\n", + "f2.read(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [], + "source": [ + "f1.tell()\n", + "f2.tell()" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "sys.getdefaultencoding()" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [], + "source": [ + "f1.seek(3)\n", + "f1.read(1)\n", + "f1.tell()" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [], + "source": [ + "f1.close()\n", + "f2.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [], + "source": [ + "path\n", + "\n", + "with open(\"tmp.txt\", mode=\"w\") as handle:\n", + " handle.writelines(x for x in open(path) if len(x) > 1)\n", + "\n", + "with open(\"tmp.txt\") as f:\n", + " lines = f.readlines()\n", + "\n", + "lines" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.remove(\"tmp.txt\")" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": {}, + "outputs": [], + "source": [ + "with open(path) as f:\n", + " chars = f.read(10)\n", + "\n", + "chars\n", + "len(chars)" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [], + "source": [ + "with open(path, mode=\"rb\") as f:\n", + " data = f.read(10)\n", + "\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": {}, + "outputs": [], + "source": [ + "data.decode(\"utf-8\")\n", + "data[:4].decode(\"utf-8\")" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "metadata": {}, + "outputs": [], + "source": [ + "sink_path = \"sink.txt\"\n", + "with open(path) as source:\n", + " with open(sink_path, \"x\", encoding=\"iso-8859-1\") as sink:\n", + " sink.write(source.read())\n", + "\n", + "with open(sink_path, encoding=\"iso-8859-1\") as f:\n", + " print(f.read(10))" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "metadata": {}, + "outputs": [], + "source": [ + "os.remove(sink_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [], + "source": [ + "f = open(path, encoding='utf-8')\n", + "f.read(5)\n", + "f.seek(4)\n", + "f.read(1)\n", + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} \ No newline at end of file diff --git a/ch04.ipynb b/ch04.ipynb index cd08e1beb..1a8639735 100644 --- a/ch04.ipynb +++ b/ch04.ipynb @@ -1,1353 +1,1224 @@ { + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "np.random.seed(12345)\n", + "import matplotlib.pyplot as plt\n", + "plt.rc(\"figure\", figsize=(10, 6))\n", + "np.set_printoptions(precision=4, suppress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "my_arr = np.arange(1_000_000)\n", + "my_list = list(range(1_000_000))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "%timeit my_arr2 = my_arr * 2\n", + "%timeit my_list2 = [x * 2 for x in my_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "data = np.array([[1.5, -0.1, 3], [0, -3, 6.5]])\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "data * 10\n", + "data + data" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "data.shape\n", + "data.dtype" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "data1 = [6, 7.5, 8, 0, 1]\n", + "arr1 = np.array(data1)\n", + "arr1" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "data2 = [[1, 2, 3, 4], [5, 6, 7, 8]]\n", + "arr2 = np.array(data2)\n", + "arr2" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "arr2.ndim\n", + "arr2.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "arr1.dtype\n", + "arr2.dtype" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "np.zeros(10)\n", + "np.zeros((3, 6))\n", + "np.empty((2, 3, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "np.arange(15)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "arr1 = np.array([1, 2, 3], dtype=np.float64)\n", + "arr2 = np.array([1, 2, 3], dtype=np.int32)\n", + "arr1.dtype\n", + "arr2.dtype" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.array([1, 2, 3, 4, 5])\n", + "arr.dtype\n", + "float_arr = arr.astype(np.float64)\n", + "float_arr\n", + "float_arr.dtype" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.array([3.7, -1.2, -2.6, 0.5, 12.9, 10.1])\n", + "arr\n", + "arr.astype(np.int32)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "numeric_strings = np.array([\"1.25\", \"-9.6\", \"42\"], dtype=np.string_)\n", + "numeric_strings.astype(float)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "int_array = np.arange(10)\n", + "calibers = np.array([.22, .270, .357, .380, .44, .50], dtype=np.float64)\n", + "int_array.astype(calibers.dtype)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "zeros_uint32 = np.zeros(8, dtype=\"u4\")\n", + "zeros_uint32" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.array([[1., 2., 3.], [4., 5., 6.]])\n", + "arr\n", + "arr * arr\n", + "arr - arr" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "1 / arr\n", + "arr ** 2" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "arr2 = np.array([[0., 4., 1.], [7., 2., 12.]])\n", + "arr2\n", + "arr2 > arr" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(10)\n", + "arr\n", + "arr[5]\n", + "arr[5:8]\n", + "arr[5:8] = 12\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "arr_slice = arr[5:8]\n", + "arr_slice" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "arr_slice[1] = 12345\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "arr_slice[:] = 64\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "arr2d = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n", + "arr2d[2]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "arr2d[0][2]\n", + "arr2d[0, 2]" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "arr3d = np.array([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]])\n", + "arr3d" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "arr3d[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "old_values = arr3d[0].copy()\n", + "arr3d[0] = 42\n", + "arr3d\n", + "arr3d[0] = old_values\n", + "arr3d" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "arr3d[1, 0]" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "x = arr3d[1]\n", + "x\n", + "x[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "arr\n", + "arr[1:6]" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "arr2d\n", + "arr2d[:2]" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "arr2d[:2, 1:]" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "lower_dim_slice = arr2d[1, :2]" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "lower_dim_slice.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "arr2d[:2, 2]" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "arr2d[:, :1]" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "arr2d[:2, 1:] = 0\n", + "arr2d" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "names = np.array([\"Bob\", \"Joe\", \"Will\", \"Bob\", \"Will\", \"Joe\", \"Joe\"])\n", + "data = np.array([[4, 7], [0, 2], [-5, 6], [0, 0], [1, 2],\n", + " [-12, -4], [3, 4]])\n", + "names\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "names == \"Bob\"" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "data[names == \"Bob\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "data[names == \"Bob\", 1:]\n", + "data[names == \"Bob\", 1]" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "names != \"Bob\"\n", + "~(names == \"Bob\")\n", + "data[~(names == \"Bob\")]" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "cond = names == \"Bob\"\n", + "data[~cond]" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "mask = (names == \"Bob\") | (names == \"Will\")\n", + "mask\n", + "data[mask]" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "data[data < 0] = 0\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "data[names != \"Joe\"] = 7\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.zeros((8, 4))\n", + "for i in range(8):\n", + " arr[i] = i\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "arr[[4, 3, 0, 6]]" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "arr[[-3, -5, -7]]" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(32).reshape((8, 4))\n", + "arr\n", + "arr[[1, 5, 7, 2], [0, 3, 1, 2]]" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "arr[[1, 5, 7, 2]][:, [0, 3, 1, 2]]" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "arr[[1, 5, 7, 2], [0, 3, 1, 2]]\n", + "arr[[1, 5, 7, 2], [0, 3, 1, 2]] = 0\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(15).reshape((3, 5))\n", + "arr\n", + "arr.T" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.array([[0, 1, 0], [1, 2, -2], [6, 3, 2], [-1, 0, -1], [1, 0, 1]])\n", + "arr\n", + "np.dot(arr.T, arr)" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "arr.T @ arr" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "arr\n", + "arr.swapaxes(0, 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "samples = np.random.standard_normal(size=(4, 4))\n", + "samples" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "from random import normalvariate\n", + "N = 1_000_000\n", + "%timeit samples = [normalvariate(0, 1) for _ in range(N)]\n", + "%timeit np.random.standard_normal(N)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "rng = np.random.default_rng(seed=12345)\n", + "data = rng.standard_normal((2, 3))" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "type(rng)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(10)\n", + "arr\n", + "np.sqrt(arr)\n", + "np.exp(arr)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "x = rng.standard_normal(8)\n", + "y = rng.standard_normal(8)\n", + "x\n", + "y\n", + "np.maximum(x, y)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal(7) * 5\n", + "arr\n", + "remainder, whole_part = np.modf(arr)\n", + "remainder\n", + "whole_part" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "arr\n", + "out = np.zeros_like(arr)\n", + "np.add(arr, 1)\n", + "np.add(arr, 1, out=out)\n", + "out" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "points = np.arange(-5, 5, 0.01) # 100 equally spaced points\n", + "xs, ys = np.meshgrid(points, points)\n", + "ys" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "z = np.sqrt(xs ** 2 + ys ** 2)\n", + "z" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "plt.imshow(z, cmap=plt.cm.gray, extent=[-5, 5, -5, 5])\n", + "plt.colorbar()\n", + "plt.title(\"Image plot of $\\sqrt{x^2 + y^2}$ for a grid of values\")" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "plt.draw()" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "plt.close(\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "xarr = np.array([1.1, 1.2, 1.3, 1.4, 1.5])\n", + "yarr = np.array([2.1, 2.2, 2.3, 2.4, 2.5])\n", + "cond = np.array([True, False, True, True, False])" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "result = [(x if c else y)\n", + " for x, y, c in zip(xarr, yarr, cond)]\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [], + "source": [ + "result = np.where(cond, xarr, yarr)\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal((4, 4))\n", + "arr\n", + "arr > 0\n", + "np.where(arr > 0, 2, -2)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "np.where(arr > 0, 2, arr) # set only positive values to 2" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal((5, 4))\n", + "arr\n", + "arr.mean()\n", + "np.mean(arr)\n", + "arr.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "arr.mean(axis=1)\n", + "arr.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.array([0, 1, 2, 3, 4, 5, 6, 7])\n", + "arr.cumsum()" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.array([[0, 1, 2], [3, 4, 5], [6, 7, 8]])\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "arr.cumsum(axis=0)\n", + "arr.cumsum(axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal(100)\n", + "(arr > 0).sum() # Number of positive values\n", + "(arr <= 0).sum() # Number of non-positive values" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [], + "source": [ + "bools = np.array([False, False, True, False])\n", + "bools.any()\n", + "bools.all()" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal(6)\n", + "arr\n", + "arr.sort()\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "arr = rng.standard_normal((5, 3))\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [], + "source": [ + "arr.sort(axis=0)\n", + "arr\n", + "arr.sort(axis=1)\n", + "arr" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "arr2 = np.array([5, -10, 7, 1, 0, -3])\n", + "sorted_arr2 = np.sort(arr2)\n", + "sorted_arr2" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [], + "source": [ + "names = np.array([\"Bob\", \"Will\", \"Joe\", \"Bob\", \"Will\", \"Joe\", \"Joe\"])\n", + "np.unique(names)\n", + "ints = np.array([3, 3, 3, 2, 2, 1, 1, 4, 4])\n", + "np.unique(ints)" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [], + "source": [ + "sorted(set(names))" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [], + "source": [ + "values = np.array([6, 0, 0, 3, 2, 5, 6])\n", + "np.in1d(values, [2, 3, 6])" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(10)\n", + "np.save(\"some_array\", arr)" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [], + "source": [ + "np.load(\"some_array.npy\")" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [], + "source": [ + "np.savez(\"array_archive.npz\", a=arr, b=arr)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [], + "source": [ + "arch = np.load(\"array_archive.npz\")\n", + "arch[\"b\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [], + "source": [ + "np.savez_compressed(\"arrays_compressed.npz\", a=arr, b=arr)" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [], + "source": [ + "!rm some_array.npy\n", + "!rm array_archive.npz\n", + "!rm arrays_compressed.npz" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [], + "source": [ + "x = np.array([[1., 2., 3.], [4., 5., 6.]])\n", + "y = np.array([[6., 23.], [-1, 7], [8, 9]])\n", + "x\n", + "y\n", + "x.dot(y)" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [], + "source": [ + "np.dot(x, y)" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [], + "source": [ + "x @ np.ones(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [], + "source": [ + "from numpy.linalg import inv, qr\n", + "X = rng.standard_normal((5, 5))\n", + "mat = X.T @ X\n", + "inv(mat)\n", + "mat @ inv(mat)" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [], + "source": [ + "import random\n", + "position = 0\n", + "walk = [position]\n", + "nsteps = 1000\n", + "for _ in range(nsteps):\n", + " step = 1 if random.randint(0, 1) else -1\n", + " position += step\n", + " walk.append(position)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [], + "source": [ + "plt.plot(walk[:100])" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [], + "source": [ + "nsteps = 1000\n", + "rng = np.random.default_rng(seed=12345) # fresh random generator\n", + "draws = rng.integers(0, 2, size=nsteps)\n", + "steps = np.where(draws == 0, 1, -1)\n", + "walk = steps.cumsum()" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [], + "source": [ + "walk.min()\n", + "walk.max()" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [], + "source": [ + "(np.abs(walk) >= 10).argmax()" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [], + "source": [ + "nwalks = 5000\n", + "nsteps = 1000\n", + "draws = rng.integers(0, 2, size=(nwalks, nsteps)) # 0 or 1\n", + "steps = np.where(draws > 0, 1, -1)\n", + "walks = steps.cumsum(axis=1)\n", + "walks" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [], + "source": [ + "walks.max()\n", + "walks.min()" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [], + "source": [ + "hits30 = (np.abs(walks) >= 30).any(axis=1)\n", + "hits30\n", + "hits30.sum() # Number that hit 30 or -30" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [], + "source": [ + "crossing_times = (np.abs(walks[hits30]) >= 30).argmax(axis=1)\n", + "crossing_times" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [], + "source": [ + "crossing_times.mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [], + "source": [ + "draws = 0.25 * rng.standard_normal((nwalks, nsteps))" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { - "name": "", - "signature": "sha256:a144a882df0b168305dd22b779ee9f996375da0b2979c0c26a19c787c55767b2" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "heading", - "level": 1, - "metadata": {}, - "source": [ - "NumPy Basics: Arrays and Vectorized Computation" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%matplotlib inline" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from __future__ import division\n", - "from numpy.random import randn\n", - "import numpy as np\n", - "np.set_printoptions(precision=4, suppress=True)\n", - "%cd ../book_scripts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "The NumPy ndarray: a multidimensional array object" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = randn(2, 3)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data\n", - "data * 10\n", - "data + data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.shape\n", - "data.dtype" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Creating ndarrays" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data1 = [6, 7.5, 8, 0, 1]\n", - "arr1 = np.array(data1)\n", - "arr1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data2 = [[1, 2, 3, 4], [5, 6, 7, 8]]\n", - "arr2 = np.array(data2)\n", - "arr2\n", - "arr2.ndim\n", - "arr2.shape" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr1.dtype\n", - "arr2.dtype" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.zeros(10)\n", - "np.zeros((3, 6))\n", - "np.empty((2, 3, 2))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.arange(15)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Data Types for ndarrays" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr1 = np.array([1, 2, 3], dtype=np.float64)\n", - "arr2 = np.array([1, 2, 3], dtype=np.int32)\n", - "arr1.dtype\n", - "arr2.dtype" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.array([1, 2, 3, 4, 5])\n", - "arr.dtype\n", - "float_arr = arr.astype(np.float64)\n", - "float_arr.dtype" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.array([3.7, -1.2, -2.6, 0.5, 12.9, 10.1])\n", - "arr\n", - "arr.astype(np.int32)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "numeric_strings = np.array(['1.25', '-9.6', '42'], dtype=np.string_)\n", - "numeric_strings.astype(float)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "int_array = np.arange(10)\n", - "calibers = np.array([.22, .270, .357, .380, .44, .50], dtype=np.float64)\n", - "int_array.astype(calibers.dtype)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "empty_uint32 = np.empty(8, dtype='u4')\n", - "empty_uint32" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Operations between arrays and scalars" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.array([[1., 2., 3.], [4., 5., 6.]])\n", - "arr\n", - "arr * arr\n", - "arr - arr" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "1 / arr\n", - "arr ** 0.5" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Basic indexing and slicing" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(10)\n", - "arr\n", - "arr[5]\n", - "arr[5:8]\n", - "arr[5:8] = 12\n", - "arr" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr_slice = arr[5:8]\n", - "arr_slice[1] = 12345\n", - "arr\n", - "arr_slice[:] = 64\n", - "arr" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr2d = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n", - "arr2d[2]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr2d[0][2]\n", - "arr2d[0, 2]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr3d = np.array([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]])\n", - "arr3d" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr3d[0]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "old_values = arr3d[0].copy()\n", - "arr3d[0] = 42\n", - "arr3d\n", - "arr3d[0] = old_values\n", - "arr3d" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr3d[1, 0]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Indexing with slices" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr[1:6]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr2d\n", - "arr2d[:2]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr2d[:2, 1:]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr2d[1, :2]\n", - "arr2d[2, :1]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr2d[:, :1]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr2d[:2, 1:] = 0" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Boolean indexing" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "names = np.array(['Bob', 'Joe', 'Will', 'Bob', 'Will', 'Joe', 'Joe'])\n", - "data = randn(7, 4)\n", - "names\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "names == 'Bob'" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data[names == 'Bob']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data[names == 'Bob', 2:]\n", - "data[names == 'Bob', 3]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "names != 'Bob'\n", - "data[-(names == 'Bob')]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "mask = (names == 'Bob') | (names == 'Will')\n", - "mask\n", - "data[mask]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data[data < 0] = 0\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data[names != 'Joe'] = 7\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Fancy indexing" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.empty((8, 4))\n", - "for i in range(8):\n", - " arr[i] = i\n", - "arr" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr[[4, 3, 0, 6]]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr[[-3, -5, -7]]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# more on reshape in Chapter 12\n", - "arr = np.arange(32).reshape((8, 4))\n", - "arr\n", - "arr[[1, 5, 7, 2], [0, 3, 1, 2]]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr[[1, 5, 7, 2]][:, [0, 3, 1, 2]]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr[np.ix_([1, 5, 7, 2], [0, 3, 1, 2])]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Transposing arrays and swapping axes" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(15).reshape((3, 5))\n", - "arr\n", - "arr.T" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.random.randn(6, 3)\n", - "np.dot(arr.T, arr)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(16).reshape((2, 2, 4))\n", - "arr\n", - "arr.transpose((1, 0, 2))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr\n", - "arr.swapaxes(1, 2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Universal Functions: Fast element-wise array functions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(10)\n", - "np.sqrt(arr)\n", - "np.exp(arr)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "x = randn(8)\n", - "y = randn(8)\n", - "x\n", - "y\n", - "np.maximum(x, y) # element-wise maximum" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = randn(7) * 5\n", - "np.modf(arr)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Data processing using arrays" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "points = np.arange(-5, 5, 0.01) # 1000 equally spaced points\n", - "xs, ys = np.meshgrid(points, points)\n", - "ys" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from matplotlib.pyplot import imshow, title" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import matplotlib.pyplot as plt\n", - "z = np.sqrt(xs ** 2 + ys ** 2)\n", - "z\n", - "plt.imshow(z, cmap=plt.cm.gray); plt.colorbar()\n", - "plt.title(\"Image plot of $\\sqrt{x^2 + y^2}$ for a grid of values\")" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.draw()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Expressing conditional logic as array operations" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "xarr = np.array([1.1, 1.2, 1.3, 1.4, 1.5])\n", - "yarr = np.array([2.1, 2.2, 2.3, 2.4, 2.5])\n", - "cond = np.array([True, False, True, True, False])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = [(x if c else y)\n", - " for x, y, c in zip(xarr, yarr, cond)]\n", - "result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = np.where(cond, xarr, yarr)\n", - "result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = randn(4, 4)\n", - "arr\n", - "np.where(arr > 0, 2, -2)\n", - "np.where(arr > 0, 2, arr) # set only positive values to 2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Not to be executed\n", - "\n", - "result = []\n", - "for i in range(n):\n", - " if cond1[i] and cond2[i]:\n", - " result.append(0)\n", - " elif cond1[i]:\n", - " result.append(1)\n", - " elif cond2[i]:\n", - " result.append(2)\n", - " else:\n", - " result.append(3)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Not to be executed\n", - "\n", - "np.where(cond1 & cond2, 0,\n", - " np.where(cond1, 1,\n", - " np.where(cond2, 2, 3)))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Not to be executed\n", - "\n", - "result = 1 * cond1 + 2 * cond2 + 3 * -(cond1 | cond2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Mathematical and statistical methods" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.random.randn(5, 4) # normally-distributed data\n", - "arr.mean()\n", - "np.mean(arr)\n", - "arr.sum()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr.mean(axis=1)\n", - "arr.sum(0)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.array([[0, 1, 2], [3, 4, 5], [6, 7, 8]])\n", - "arr.cumsum(0)\n", - "arr.cumprod(1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Methods for boolean arrays" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = randn(100)\n", - "(arr > 0).sum() # Number of positive values" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "bools = np.array([False, False, True, False])\n", - "bools.any()\n", - "bools.all()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Sorting" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = randn(8)\n", - "arr\n", - "arr.sort()\n", - "arr" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = randn(5, 3)\n", - "arr\n", - "arr.sort(1)\n", - "arr" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "large_arr = randn(1000)\n", - "large_arr.sort()\n", - "large_arr[int(0.05 * len(large_arr))] # 5% quantile" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Unique and other set logic" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "names = np.array(['Bob', 'Joe', 'Will', 'Bob', 'Will', 'Joe', 'Joe'])\n", - " np.unique(names)\n", - "ints = np.array([3, 3, 3, 2, 2, 1, 1, 4, 4])\n", - "np.unique(ints)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "sorted(set(names))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "values = np.array([6, 0, 0, 3, 2, 5, 6])\n", - "np.in1d(values, [2, 3, 6])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "File input and output with arrays" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Storing arrays on disk in binary format" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(10)\n", - "np.save('some_array', arr)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.load('some_array.npy')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.savez('array_archive.npz', a=arr, b=arr)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arch = np.load('array_archive.npz')\n", - "arch['b']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "!rm some_array.npy\n", - "!rm array_archive.npz" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Saving and loading text files" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "!cat array_ex.txt" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.loadtxt('array_ex.txt', delimiter=',')\n", - "arr" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Linear algebra" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "x = np.array([[1., 2., 3.], [4., 5., 6.]])\n", - "y = np.array([[6., 23.], [-1, 7], [8, 9]])\n", - "x\n", - "y\n", - "x.dot(y) # equivalently np.dot(x, y)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.dot(x, np.ones(3))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.random.seed(12345)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from numpy.linalg import inv, qr\n", - "X = randn(5, 5)\n", - "mat = X.T.dot(X)\n", - "inv(mat)\n", - "mat.dot(inv(mat))\n", - "q, r = qr(mat)\n", - "r" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Random number generation" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "samples = np.random.normal(size=(4, 4))\n", - "samples" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from random import normalvariate\n", - "N = 1000000\n", - "%timeit samples = [normalvariate(0, 1) for _ in xrange(N)]\n", - "%timeit np.random.normal(size=N)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Example: Random Walks" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "import random\n", - "position = 0\n", - "walk = [position]\n", - "steps = 1000\n", - "for i in xrange(steps):\n", - " step = 1 if random.randint(0, 1) else -1\n", - " position += step\n", - " walk.append(position)" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.random.seed(12345)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "nsteps = 1000\n", - "draws = np.random.randint(0, 2, size=nsteps)\n", - "steps = np.where(draws > 0, 1, -1)\n", - "walk = steps.cumsum()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "walk.min()\n", - "walk.max()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "(np.abs(walk) >= 10).argmax()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Simulating many random walks at once" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "nwalks = 5000\n", - "nsteps = 1000\n", - "draws = np.random.randint(0, 2, size=(nwalks, nsteps)) # 0 or 1\n", - "steps = np.where(draws > 0, 1, -1)\n", - "walks = steps.cumsum(1)\n", - "walks" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "walks.max()\n", - "walks.min()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "hits30 = (np.abs(walks) >= 30).any(1)\n", - "hits30\n", - "hits30.sum() # Number that hit 30 or -30" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "crossing_times = (np.abs(walks[hits30]) >= 30).argmax(1)\n", - "crossing_times.mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "steps = np.random.normal(loc=0, scale=0.25,\n", - " size=(nwalks, nsteps))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" } - ] + }, + "nbformat": 4, + "nbformat_minor": 4 } \ No newline at end of file diff --git a/ch05.ipynb b/ch05.ipynb index 48ef02f04..0c7b4b3ae 100644 --- a/ch05.ipynb +++ b/ch05.ipynb @@ -1,2551 +1,1503 @@ { + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from pandas import Series, DataFrame" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "np.random.seed(12345)\n", + "import matplotlib.pyplot as plt\n", + "plt.rc(\"figure\", figsize=(10, 6))\n", + "PREVIOUS_MAX_ROWS = pd.options.display.max_rows\n", + "pd.options.display.max_rows = 20\n", + "pd.options.display.max_columns = 20\n", + "pd.options.display.max_colwidth = 80\n", + "np.set_printoptions(precision=4, suppress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "obj = pd.Series([4, 7, -5, 3])\n", + "obj" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "obj.array\n", + "obj.index" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "obj2 = pd.Series([4, 7, -5, 3], index=[\"d\", \"b\", \"a\", \"c\"])\n", + "obj2\n", + "obj2.index" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "obj2[\"a\"]\n", + "obj2[\"d\"] = 6\n", + "obj2[[\"c\", \"a\", \"d\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "obj2[obj2 > 0]\n", + "obj2 * 2\n", + "import numpy as np\n", + "np.exp(obj2)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "\"b\" in obj2\n", + "\"e\" in obj2" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "sdata = {\"Ohio\": 35000, \"Texas\": 71000, \"Oregon\": 16000, \"Utah\": 5000}\n", + "obj3 = pd.Series(sdata)\n", + "obj3" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "obj3.to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "states = [\"California\", \"Ohio\", \"Oregon\", \"Texas\"]\n", + "obj4 = pd.Series(sdata, index=states)\n", + "obj4" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "pd.isna(obj4)\n", + "pd.notna(obj4)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "obj4.isna()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "obj3\n", + "obj4\n", + "obj3 + obj4" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "obj4.name = \"population\"\n", + "obj4.index.name = \"state\"\n", + "obj4" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "obj\n", + "obj.index = [\"Bob\", \"Steve\", \"Jeff\", \"Ryan\"]\n", + "obj" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "data = {\"state\": [\"Ohio\", \"Ohio\", \"Ohio\", \"Nevada\", \"Nevada\", \"Nevada\"],\n", + " \"year\": [2000, 2001, 2002, 2001, 2002, 2003],\n", + " \"pop\": [1.5, 1.7, 3.6, 2.4, 2.9, 3.2]}\n", + "frame = pd.DataFrame(data)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "frame" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "frame.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "frame.tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "pd.DataFrame(data, columns=[\"year\", \"state\", \"pop\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "frame2 = pd.DataFrame(data, columns=[\"year\", \"state\", \"pop\", \"debt\"])\n", + "frame2\n", + "frame2.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "frame2[\"state\"]\n", + "frame2.year" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "frame2.loc[1]\n", + "frame2.iloc[2]" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "frame2[\"debt\"] = 16.5\n", + "frame2\n", + "frame2[\"debt\"] = np.arange(6.)\n", + "frame2" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "val = pd.Series([-1.2, -1.5, -1.7], index=[\"two\", \"four\", \"five\"])\n", + "frame2[\"debt\"] = val\n", + "frame2" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "frame2[\"eastern\"] = frame2[\"state\"] == \"Ohio\"\n", + "frame2" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "del frame2[\"eastern\"]\n", + "frame2.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "populations = {\"Ohio\": {2000: 1.5, 2001: 1.7, 2002: 3.6},\n", + " \"Nevada\": {2001: 2.4, 2002: 2.9}}" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "frame3 = pd.DataFrame(populations)\n", + "frame3" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "frame3.T" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "pd.DataFrame(populations, index=[2001, 2002, 2003])" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "pdata = {\"Ohio\": frame3[\"Ohio\"][:-1],\n", + " \"Nevada\": frame3[\"Nevada\"][:2]}\n", + "pd.DataFrame(pdata)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "frame3.index.name = \"year\"\n", + "frame3.columns.name = \"state\"\n", + "frame3" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "frame3.to_numpy()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "frame2.to_numpy()" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "obj = pd.Series(np.arange(3), index=[\"a\", \"b\", \"c\"])\n", + "index = obj.index\n", + "index\n", + "index[1:]" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "labels = pd.Index(np.arange(3))\n", + "labels\n", + "obj2 = pd.Series([1.5, -2.5, 0], index=labels)\n", + "obj2\n", + "obj2.index is labels" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "frame3\n", + "frame3.columns\n", + "\"Ohio\" in frame3.columns\n", + "2003 in frame3.index" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "pd.Index([\"foo\", \"foo\", \"bar\", \"bar\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "obj = pd.Series([4.5, 7.2, -5.3, 3.6], index=[\"d\", \"b\", \"a\", \"c\"])\n", + "obj" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "obj2 = obj.reindex([\"a\", \"b\", \"c\", \"d\", \"e\"])\n", + "obj2" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "obj3 = pd.Series([\"blue\", \"purple\", \"yellow\"], index=[0, 2, 4])\n", + "obj3\n", + "obj3.reindex(np.arange(6), method=\"ffill\")" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.DataFrame(np.arange(9).reshape((3, 3)),\n", + " index=[\"a\", \"c\", \"d\"],\n", + " columns=[\"Ohio\", \"Texas\", \"California\"])\n", + "frame\n", + "frame2 = frame.reindex(index=[\"a\", \"b\", \"c\", \"d\"])\n", + "frame2" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "states = [\"Texas\", \"Utah\", \"California\"]\n", + "frame.reindex(columns=states)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "frame.reindex(states, axis=\"columns\")" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "frame.loc[[\"a\", \"d\", \"c\"], [\"California\", \"Texas\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "obj = pd.Series(np.arange(5.), index=[\"a\", \"b\", \"c\", \"d\", \"e\"])\n", + "obj\n", + "new_obj = obj.drop(\"c\")\n", + "new_obj\n", + "obj.drop([\"d\", \"c\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame(np.arange(16).reshape((4, 4)),\n", + " index=[\"Ohio\", \"Colorado\", \"Utah\", \"New York\"],\n", + " columns=[\"one\", \"two\", \"three\", \"four\"])\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "data.drop(index=[\"Colorado\", \"Ohio\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "data.drop(columns=[\"two\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "data.drop(\"two\", axis=1)\n", + "data.drop([\"two\", \"four\"], axis=\"columns\")" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "obj = pd.Series(np.arange(4.), index=[\"a\", \"b\", \"c\", \"d\"])\n", + "obj\n", + "obj[\"b\"]\n", + "obj[1]\n", + "obj[2:4]\n", + "obj[[\"b\", \"a\", \"d\"]]\n", + "obj[[1, 3]]\n", + "obj[obj < 2]" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "obj.loc[[\"b\", \"a\", \"d\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "obj1 = pd.Series([1, 2, 3], index=[2, 0, 1])\n", + "obj2 = pd.Series([1, 2, 3], index=[\"a\", \"b\", \"c\"])\n", + "obj1\n", + "obj2\n", + "obj1[[0, 1, 2]]\n", + "obj2[[0, 1, 2]]" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "obj1.iloc[[0, 1, 2]]\n", + "obj2.iloc[[0, 1, 2]]" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "obj2.loc[\"b\":\"c\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "obj2.loc[\"b\":\"c\"] = 5\n", + "obj2" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame(np.arange(16).reshape((4, 4)),\n", + " index=[\"Ohio\", \"Colorado\", \"Utah\", \"New York\"],\n", + " columns=[\"one\", \"two\", \"three\", \"four\"])\n", + "data\n", + "data[\"two\"]\n", + "data[[\"three\", \"one\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "data[:2]\n", + "data[data[\"three\"] > 5]" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "data < 5" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "data[data < 5] = 0\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "data\n", + "data.loc[\"Colorado\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "data.loc[[\"Colorado\", \"New York\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "data.loc[\"Colorado\", [\"two\", \"three\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "data.iloc[2]\n", + "data.iloc[[2, 1]]\n", + "data.iloc[2, [3, 0, 1]]\n", + "data.iloc[[1, 2], [3, 0, 1]]" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "data.loc[:\"Utah\", \"two\"]\n", + "data.iloc[:, :3][data.three > 5]" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "data.loc[data.three >= 2]" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "ser = pd.Series(np.arange(3.))\n", + "ser\n", + "ser[-1]" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "ser" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "ser2 = pd.Series(np.arange(3.), index=[\"a\", \"b\", \"c\"])\n", + "ser2[-1]" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "ser.iloc[-1]" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "ser[:2]" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [], + "source": [ + "data.loc[:, \"one\"] = 1\n", + "data\n", + "data.iloc[2] = 5\n", + "data\n", + "data.loc[data[\"four\"] > 5] = 3\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "data.loc[data.three == 5][\"three\"] = 6" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "data.loc[data.three == 5, \"three\"] = 6\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "s1 = pd.Series([7.3, -2.5, 3.4, 1.5], index=[\"a\", \"c\", \"d\", \"e\"])\n", + "s2 = pd.Series([-2.1, 3.6, -1.5, 4, 3.1],\n", + " index=[\"a\", \"c\", \"e\", \"f\", \"g\"])\n", + "s1\n", + "s2" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [], + "source": [ + "s1 + s2" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "df1 = pd.DataFrame(np.arange(9.).reshape((3, 3)), columns=list(\"bcd\"),\n", + " index=[\"Ohio\", \"Texas\", \"Colorado\"])\n", + "df2 = pd.DataFrame(np.arange(12.).reshape((4, 3)), columns=list(\"bde\"),\n", + " index=[\"Utah\", \"Ohio\", \"Texas\", \"Oregon\"])\n", + "df1\n", + "df2" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "df1 + df2" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "df1 = pd.DataFrame({\"A\": [1, 2]})\n", + "df2 = pd.DataFrame({\"B\": [3, 4]})\n", + "df1\n", + "df2\n", + "df1 + df2" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [], + "source": [ + "df1 = pd.DataFrame(np.arange(12.).reshape((3, 4)),\n", + " columns=list(\"abcd\"))\n", + "df2 = pd.DataFrame(np.arange(20.).reshape((4, 5)),\n", + " columns=list(\"abcde\"))\n", + "df2.loc[1, \"b\"] = np.nan\n", + "df1\n", + "df2" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [], + "source": [ + "df1 + df2" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "df1.add(df2, fill_value=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [], + "source": [ + "1 / df1\n", + "df1.rdiv(1)" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "df1.reindex(columns=df2.columns, fill_value=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(12.).reshape((3, 4))\n", + "arr\n", + "arr[0]\n", + "arr - arr[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.DataFrame(np.arange(12.).reshape((4, 3)),\n", + " columns=list(\"bde\"),\n", + " index=[\"Utah\", \"Ohio\", \"Texas\", \"Oregon\"])\n", + "series = frame.iloc[0]\n", + "frame\n", + "series" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [], + "source": [ + "frame - series" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [], + "source": [ + "series2 = pd.Series(np.arange(3), index=[\"b\", \"e\", \"f\"])\n", + "series2\n", + "frame + series2" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [], + "source": [ + "series3 = frame[\"d\"]\n", + "frame\n", + "series3\n", + "frame.sub(series3, axis=\"index\")" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.DataFrame(np.random.standard_normal((4, 3)),\n", + " columns=list(\"bde\"),\n", + " index=[\"Utah\", \"Ohio\", \"Texas\", \"Oregon\"])\n", + "frame\n", + "np.abs(frame)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [], + "source": [ + "def f1(x):\n", + " return x.max() - x.min()\n", + "\n", + "frame.apply(f1)" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [], + "source": [ + "frame.apply(f1, axis=\"columns\")" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [], + "source": [ + "def f2(x):\n", + " return pd.Series([x.min(), x.max()], index=[\"min\", \"max\"])\n", + "frame.apply(f2)" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [], + "source": [ + "def my_format(x):\n", + " return f\"{x:.2f}\"\n", + "\n", + "frame.applymap(my_format)" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [], + "source": [ + "frame[\"e\"].map(my_format)" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [], + "source": [ + "obj = pd.Series(np.arange(4), index=[\"d\", \"a\", \"b\", \"c\"])\n", + "obj\n", + "obj.sort_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.DataFrame(np.arange(8).reshape((2, 4)),\n", + " index=[\"three\", \"one\"],\n", + " columns=[\"d\", \"a\", \"b\", \"c\"])\n", + "frame\n", + "frame.sort_index()\n", + "frame.sort_index(axis=\"columns\")" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [], + "source": [ + "frame.sort_index(axis=\"columns\", ascending=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [], + "source": [ + "obj = pd.Series([4, 7, -3, 2])\n", + "obj.sort_values()" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [], + "source": [ + "obj = pd.Series([4, np.nan, 7, np.nan, -3, 2])\n", + "obj.sort_values()" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [], + "source": [ + "obj.sort_values(na_position=\"first\")" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.DataFrame({\"b\": [4, 7, -3, 2], \"a\": [0, 1, 0, 1]})\n", + "frame\n", + "frame.sort_values(\"b\")" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [], + "source": [ + "frame.sort_values([\"a\", \"b\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [], + "source": [ + "obj = pd.Series([7, -5, 7, 4, 2, 0, 4])\n", + "obj.rank()" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [], + "source": [ + "obj.rank(method=\"first\")" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [], + "source": [ + "obj.rank(ascending=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.DataFrame({\"b\": [4.3, 7, -3, 2], \"a\": [0, 1, 0, 1],\n", + " \"c\": [-2, 5, 8, -2.5]})\n", + "frame\n", + "frame.rank(axis=\"columns\")" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [], + "source": [ + "obj = pd.Series(np.arange(5), index=[\"a\", \"a\", \"b\", \"b\", \"c\"])\n", + "obj" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [], + "source": [ + "obj.index.is_unique" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [], + "source": [ + "obj[\"a\"]\n", + "obj[\"c\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(np.random.standard_normal((5, 3)),\n", + " index=[\"a\", \"a\", \"b\", \"b\", \"c\"])\n", + "df\n", + "df.loc[\"b\"]\n", + "df.loc[\"c\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame([[1.4, np.nan], [7.1, -4.5],\n", + " [np.nan, np.nan], [0.75, -1.3]],\n", + " index=[\"a\", \"b\", \"c\", \"d\"],\n", + " columns=[\"one\", \"two\"])\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": {}, + "outputs": [], + "source": [ + "df.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [], + "source": [ + "df.sum(axis=\"columns\")" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": {}, + "outputs": [], + "source": [ + "df.sum(axis=\"index\", skipna=False)\n", + "df.sum(axis=\"columns\", skipna=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "metadata": {}, + "outputs": [], + "source": [ + "df.mean(axis=\"columns\")" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "metadata": {}, + "outputs": [], + "source": [ + "df.idxmax()" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [], + "source": [ + "df.cumsum()" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": {}, + "outputs": [], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "metadata": {}, + "outputs": [], + "source": [ + "obj = pd.Series([\"a\", \"a\", \"b\", \"c\"] * 4)\n", + "obj.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": {}, + "outputs": [], + "source": [ + "price = pd.read_pickle(\"examples/yahoo_price.pkl\")\n", + "volume = pd.read_pickle(\"examples/yahoo_volume.pkl\")" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "metadata": {}, + "outputs": [], + "source": [ + "returns = price.pct_change()\n", + "returns.tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": {}, + "outputs": [], + "source": [ + "returns[\"MSFT\"].corr(returns[\"IBM\"])\n", + "returns[\"MSFT\"].cov(returns[\"IBM\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": {}, + "outputs": [], + "source": [ + "returns.corr()\n", + "returns.cov()" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": {}, + "outputs": [], + "source": [ + "returns.corrwith(returns[\"IBM\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "metadata": {}, + "outputs": [], + "source": [ + "returns.corrwith(volume)" + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "metadata": {}, + "outputs": [], + "source": [ + "obj = pd.Series([\"c\", \"a\", \"d\", \"a\", \"a\", \"b\", \"b\", \"c\", \"c\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "metadata": {}, + "outputs": [], + "source": [ + "uniques = obj.unique()\n", + "uniques" + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "metadata": {}, + "outputs": [], + "source": [ + "obj.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "metadata": {}, + "outputs": [], + "source": [ + "pd.value_counts(obj.to_numpy(), sort=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "metadata": {}, + "outputs": [], + "source": [ + "obj\n", + "mask = obj.isin([\"b\", \"c\"])\n", + "mask\n", + "obj[mask]" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": {}, + "outputs": [], + "source": [ + "to_match = pd.Series([\"c\", \"a\", \"b\", \"b\", \"c\", \"a\"])\n", + "unique_vals = pd.Series([\"c\", \"b\", \"a\"])\n", + "indices = pd.Index(unique_vals).get_indexer(to_match)\n", + "indices" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame({\"Qu1\": [1, 3, 4, 3, 4],\n", + " \"Qu2\": [2, 3, 1, 2, 3],\n", + " \"Qu3\": [1, 5, 2, 4, 4]})\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "metadata": {}, + "outputs": [], + "source": [ + "data[\"Qu1\"].value_counts().sort_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "metadata": {}, + "outputs": [], + "source": [ + "result = data.apply(pd.value_counts).fillna(0)\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame({\"a\": [1, 1, 1, 2, 2], \"b\": [0, 0, 1, 0, 0]})\n", + "data\n", + "data.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 142, + "metadata": {}, + "outputs": [], + "source": [ + "pd.options.display.max_rows = PREVIOUS_MAX_ROWS" + ] + } + ], "metadata": { - "name": "", - "signature": "sha256:f87bf79b5f34c6e4082c1c7d147704bbe4384fca0f48ff5ebf12d45a79892467" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "heading", - "level": 1, - "metadata": {}, - "source": [ - "Getting started with pandas" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from pandas import Series, DataFrame\n", - "import pandas as pd" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from __future__ import division\n", - "from numpy.random import randn\n", - "import numpy as np\n", - "import os\n", - "import matplotlib.pyplot as plt\n", - "np.random.seed(12345)\n", - "plt.rc('figure', figsize=(10, 6))\n", - "from pandas import Series, DataFrame\n", - "import pandas as pd\n", - "np.set_printoptions(precision=4)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": 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"arr = np.arange(12.).reshape((3, 4))\n", - "arr" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr[0]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr - arr[0]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame = DataFrame(np.arange(12.).reshape((4, 3)), columns=list('bde'),\n", - " index=['Utah', 'Ohio', 'Texas', 'Oregon'])\n", - "series = frame.ix[0]\n", - "frame" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "series" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame - series" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "series2 = Series(range(3), index=['b', 'e', 'f'])\n", - "frame + series2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "series3 = frame['d']\n", - "frame" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "series3" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.sub(series3, axis=0)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Function application and mapping" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame = DataFrame(np.random.randn(4, 3), columns=list('bde'),\n", - " index=['Utah', 'Ohio', 'Texas', 'Oregon'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.abs(frame)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "f = lambda x: x.max() - x.min()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.apply(f)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.apply(f, axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def f(x):\n", - " return Series([x.min(), x.max()], index=['min', 'max'])\n", - "frame.apply(f)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "format = lambda x: '%.2f' % x\n", - "frame.applymap(format)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame['e'].map(format)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Sorting and ranking" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj = Series(range(4), index=['d', 'a', 'b', 'c'])\n", - "obj.sort_index()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame = DataFrame(np.arange(8).reshape((2, 4)), index=['three', 'one'],\n", - " columns=['d', 'a', 'b', 'c'])\n", - "frame.sort_index()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.sort_index(axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.sort_index(axis=1, ascending=False)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj = Series([4, 7, -3, 2])\n", - "obj.order()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj = Series([4, np.nan, 7, np.nan, -3, 2])\n", - "obj.order()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame = DataFrame({'b': [4, 7, -3, 2], 'a': [0, 1, 0, 1]})\n", - "frame" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.sort_index(by='b')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.sort_index(by=['a', 'b'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj = Series([7, -5, 7, 4, 2, 0, 4])\n", - "obj.rank()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj.rank(method='first')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj.rank(ascending=False, method='max')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame = DataFrame({'b': [4.3, 7, -3, 2], 'a': [0, 1, 0, 1],\n", - " 'c': [-2, 5, 8, -2.5]})\n", - "frame" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.rank(axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Axis indexes with duplicate values" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj = Series(range(5), index=['a', 'a', 'b', 'b', 'c'])\n", - "obj" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj.index.is_unique" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj['a']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj['c']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = DataFrame(np.random.randn(4, 3), index=['a', 'a', 'b', 'b'])\n", - "df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.ix['b']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Summarizing and computing descriptive statistics" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = DataFrame([[1.4, np.nan], [7.1, -4.5],\n", - " [np.nan, np.nan], [0.75, -1.3]],\n", - " index=['a', 'b', 'c', 'd'],\n", - " columns=['one', 'two'])\n", - "df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.sum()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.sum(axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.mean(axis=1, skipna=False)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.idxmax()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.cumsum()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.describe()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj = Series(['a', 'a', 'b', 'c'] * 4)\n", - "obj.describe()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Correlation and covariance" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import pandas.io.data as web\n", - "\n", - "all_data = {}\n", - "for ticker in ['AAPL', 'IBM', 'MSFT', 'GOOG']:\n", - " all_data[ticker] = web.get_data_yahoo(ticker)\n", - "\n", - "price = DataFrame({tic: data['Adj Close']\n", - " for tic, data in all_data.iteritems()})\n", - "volume = DataFrame({tic: data['Volume']\n", - " for tic, data in all_data.iteritems()})" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "returns = price.pct_change()\n", - "returns.tail()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "returns.MSFT.corr(returns.IBM)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "returns.MSFT.cov(returns.IBM)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "returns.corr()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "returns.cov()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "returns.corrwith(returns.IBM)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "returns.corrwith(volume)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Unique values, value counts, and membership" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj = Series(['c', 'a', 'd', 'a', 'a', 'b', 'b', 'c', 'c'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "uniques = obj.unique()\n", - "uniques" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj.value_counts()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.value_counts(obj.values, sort=False)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "mask = obj.isin(['b', 'c'])\n", - "mask" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj[mask]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = DataFrame({'Qu1': [1, 3, 4, 3, 4],\n", - " 'Qu2': [2, 3, 1, 2, 3],\n", - " 'Qu3': [1, 5, 2, 4, 4]})\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = data.apply(pd.value_counts).fillna(0)\n", - "result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Handling missing data" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "string_data = Series(['aardvark', 'artichoke', np.nan, 'avocado'])\n", - "string_data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "string_data.isnull()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "string_data[0] = None\n", - "string_data.isnull()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Filtering out missing data" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from numpy import nan as NA\n", - "data = Series([1, NA, 3.5, NA, 7])\n", - "data.dropna()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data[data.notnull()]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = DataFrame([[1., 6.5, 3.], [1., NA, NA],\n", - " [NA, NA, NA], [NA, 6.5, 3.]])\n", - "cleaned = data.dropna()\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "cleaned" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.dropna(how='all')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data[4] = NA\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.dropna(axis=1, how='all')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = DataFrame(np.random.randn(7, 3))\n", - "df.ix[:4, 1] = NA; df.ix[:2, 2] = NA\n", - "df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.dropna(thresh=3)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Filling in missing data" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.fillna(0)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.fillna({1: 0.5, 3: -1})" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# always returns a reference to the filled object\n", - "_ = df.fillna(0, inplace=True)\n", - "df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = DataFrame(np.random.randn(6, 3))\n", - "df.ix[2:, 1] = NA; df.ix[4:, 2] = NA\n", - "df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.fillna(method='ffill')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.fillna(method='ffill', limit=2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = Series([1., NA, 3.5, NA, 7])\n", - "data.fillna(data.mean())" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Hierarchical indexing" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = Series(np.random.randn(10),\n", - " index=[['a', 'a', 'a', 'b', 'b', 'b', 'c', 'c', 'd', 'd'],\n", - " [1, 2, 3, 1, 2, 3, 1, 2, 2, 3]])\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.index" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data['b']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data['b':'c']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.ix[['b', 'd']]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data[:, 2]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.unstack()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.unstack().stack()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame = DataFrame(np.arange(12).reshape((4, 3)),\n", - " index=[['a', 'a', 'b', 'b'], [1, 2, 1, 2]],\n", - " columns=[['Ohio', 'Ohio', 'Colorado'],\n", - " ['Green', 'Red', 'Green']])\n", - "frame" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.index.names = ['key1', 'key2']\n", - "frame.columns.names = ['state', 'color']\n", - "frame" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame['Ohio']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "MultiIndex.from_arrays([['Ohio', 'Ohio', 'Colorado'], ['Green', 'Red', 'Green']],\n", - " names=['state', 'color'])" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Reordering and sorting levels" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.swaplevel('key1', 'key2')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.sortlevel(1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.swaplevel(0, 1).sortlevel(0)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Summary statistics by level" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.sum(level='key2')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.sum(level='color', axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Using a DataFrame's columns" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame = DataFrame({'a': range(7), 'b': range(7, 0, -1),\n", - " 'c': ['one', 'one', 'one', 'two', 'two', 'two', 'two'],\n", - " 'd': [0, 1, 2, 0, 1, 2, 3]})\n", - "frame" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame2 = frame.set_index(['c', 'd'])\n", - "frame2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.set_index(['c', 'd'], drop=False)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame2.reset_index()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Other pandas topics" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Integer indexing" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ser = Series(np.arange(3.))\n", - "ser.iloc[-1]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ser" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ser2 = Series(np.arange(3.), index=['a', 'b', 'c'])\n", - "ser2[-1]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ser.ix[:1]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ser3 = Series(range(3), index=[-5, 1, 3])\n", - "ser3.iloc[2]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame = DataFrame(np.arange(6).reshape((3, 2)), index=[2, 0, 1])\n", - "frame.iloc[0]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Panel data" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import pandas.io.data as web\n", - "\n", - "pdata = pd.Panel(dict((stk, web.get_data_yahoo(stk))\n", - " for stk in ['AAPL', 'GOOG', 'MSFT', 'DELL']))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pdata" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pdata = pdata.swapaxes('items', 'minor')\n", - "pdata['Adj Close']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pdata.ix[:, '6/1/2012', :]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pdata.ix['Adj Close', '5/22/2012':, :]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "stacked = pdata.ix[:, '5/30/2012':, :].to_frame()\n", - "stacked" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "stacked.to_panel()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" } - ] + }, + "nbformat": 4, + "nbformat_minor": 4 } \ No newline at end of file diff --git a/ch06.ipynb b/ch06.ipynb index 49d30209c..17edef580 100644 --- a/ch06.ipynb +++ b/ch06.ipynb @@ -1,969 +1,808 @@ { + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "np.random.seed(12345)\n", + "import matplotlib.pyplot as plt\n", + "plt.rc(\"figure\", figsize=(10, 6))\n", + "pd.options.display.max_colwidth = 75\n", + "pd.options.display.max_columns = 20\n", + "np.set_printoptions(precision=4, suppress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "!cat examples/ex1.csv" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"examples/ex1.csv\")\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "!cat examples/ex2.csv" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "pd.read_csv(\"examples/ex2.csv\", header=None)\n", + "pd.read_csv(\"examples/ex2.csv\", names=[\"a\", \"b\", \"c\", \"d\", \"message\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "names = [\"a\", \"b\", \"c\", \"d\", \"message\"]\n", + "pd.read_csv(\"examples/ex2.csv\", names=names, index_col=\"message\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "!cat examples/csv_mindex.csv\n", + "parsed = pd.read_csv(\"examples/csv_mindex.csv\",\n", + " index_col=[\"key1\", \"key2\"])\n", + "parsed" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "!cat examples/ex3.txt" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "result = pd.read_csv(\"examples/ex3.txt\", sep=\"\\s+\")\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "!cat examples/ex4.csv\n", + "pd.read_csv(\"examples/ex4.csv\", skiprows=[0, 2, 3])" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "!cat examples/ex5.csv\n", + "result = pd.read_csv(\"examples/ex5.csv\")\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "pd.isna(result)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "result = pd.read_csv(\"examples/ex5.csv\", na_values=[\"NULL\"])\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "result2 = pd.read_csv(\"examples/ex5.csv\", keep_default_na=False)\n", + "result2\n", + "result2.isna()\n", + "result3 = pd.read_csv(\"examples/ex5.csv\", keep_default_na=False,\n", + " na_values=[\"NA\"])\n", + "result3\n", + "result3.isna()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "sentinels = {\"message\": [\"foo\", \"NA\"], \"something\": [\"two\"]}\n", + "pd.read_csv(\"examples/ex5.csv\", na_values=sentinels,\n", + " keep_default_na=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "pd.options.display.max_rows = 10" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "result = pd.read_csv(\"examples/ex6.csv\")\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "pd.read_csv(\"examples/ex6.csv\", nrows=5)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "chunker = pd.read_csv(\"examples/ex6.csv\", chunksize=1000)\n", + "type(chunker)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "chunker = pd.read_csv(\"examples/ex6.csv\", chunksize=1000)\n", + "\n", + "tot = pd.Series([], dtype='int64')\n", + "for piece in chunker:\n", + " tot = tot.add(piece[\"key\"].value_counts(), fill_value=0)\n", + "\n", + "tot = tot.sort_values(ascending=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "tot[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_csv(\"examples/ex5.csv\")\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "data.to_csv(\"examples/out.csv\")\n", + "!cat examples/out.csv" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "data.to_csv(sys.stdout, sep=\"|\")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "data.to_csv(sys.stdout, na_rep=\"NULL\")" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "data.to_csv(sys.stdout, index=False, header=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "data.to_csv(sys.stdout, index=False, columns=[\"a\", \"b\", \"c\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "!cat examples/ex7.csv" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "import csv\n", + "f = open(\"examples/ex7.csv\")\n", + "reader = csv.reader(f)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "for line in reader:\n", + " print(line)\n", + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "with open(\"examples/ex7.csv\") as f:\n", + " lines = list(csv.reader(f))" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "header, values = lines[0], lines[1:]" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "data_dict = {h: v for h, v in zip(header, zip(*values))}\n", + "data_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "obj = \"\"\"\n", + "{\"name\": \"Wes\",\n", + " \"cities_lived\": [\"Akron\", \"Nashville\", \"New York\", \"San Francisco\"],\n", + " \"pet\": null,\n", + " \"siblings\": [{\"name\": \"Scott\", \"age\": 34, \"hobbies\": [\"guitars\", \"soccer\"]},\n", + " {\"name\": \"Katie\", \"age\": 42, \"hobbies\": [\"diving\", \"art\"]}]\n", + "}\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "result = json.loads(obj)\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "asjson = json.dumps(result)\n", + "asjson" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "siblings = pd.DataFrame(result[\"siblings\"], columns=[\"name\", \"age\"])\n", + "siblings" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "!cat examples/example.json" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_json(\"examples/example.json\")\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "data.to_json(sys.stdout)\n", + "data.to_json(sys.stdout, orient=\"records\")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "tables = pd.read_html(\"examples/fdic_failed_bank_list.html\")\n", + "len(tables)\n", + "failures = tables[0]\n", + "failures.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "close_timestamps = pd.to_datetime(failures[\"Closing Date\"])\n", + "close_timestamps.dt.year.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "from lxml import objectify\n", + "\n", + "path = \"datasets/mta_perf/Performance_MNR.xml\"\n", + "with open(path) as f:\n", + " parsed = objectify.parse(f)\n", + "root = parsed.getroot()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "data = []\n", + "\n", + "skip_fields = [\"PARENT_SEQ\", \"INDICATOR_SEQ\",\n", + " \"DESIRED_CHANGE\", \"DECIMAL_PLACES\"]\n", + "\n", + "for elt in root.INDICATOR:\n", + " el_data = {}\n", + " for child in elt.getchildren():\n", + " if child.tag in skip_fields:\n", + " continue\n", + " el_data[child.tag] = child.pyval\n", + " data.append(el_data)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "perf = pd.DataFrame(data)\n", + "perf.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "perf2 = pd.read_xml(path)\n", + "perf2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.read_csv(\"examples/ex1.csv\")\n", + "frame\n", + "frame.to_pickle(\"examples/frame_pickle\")" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "pd.read_pickle(\"examples/frame_pickle\")" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "!rm examples/frame_pickle" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "fec = pd.read_parquet('datasets/fec/fec.parquet')" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "xlsx = pd.ExcelFile(\"examples/ex1.xlsx\")" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "xlsx.sheet_names" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "xlsx.parse(sheet_name=\"Sheet1\")" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "xlsx.parse(sheet_name=\"Sheet1\", index_col=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.read_excel(\"examples/ex1.xlsx\", sheet_name=\"Sheet1\")\n", + "frame" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "writer = pd.ExcelWriter(\"examples/ex2.xlsx\")\n", + "frame.to_excel(writer, \"Sheet1\")\n", + "writer.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "frame.to_excel(\"examples/ex2.xlsx\")" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "!rm examples/ex2.xlsx" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "!rm -f examples/mydata.h5" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.DataFrame({\"a\": np.random.standard_normal(100)})\n", + "store = pd.HDFStore(\"examples/mydata.h5\")\n", + "store[\"obj1\"] = frame\n", + "store[\"obj1_col\"] = frame[\"a\"]\n", + "store" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "store[\"obj1\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "store.put(\"obj2\", frame, format=\"table\")\n", + "store.select(\"obj2\", where=[\"index >= 10 and index <= 15\"])\n", + "store.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "frame.to_hdf(\"examples/mydata.h5\", \"obj3\", format=\"table\")\n", + "pd.read_hdf(\"examples/mydata.h5\", \"obj3\", where=[\"index < 5\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.remove(\"examples/mydata.h5\")" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "import requests\n", + "url = \"https://api.github.com/repos/pandas-dev/pandas/issues/"\n", + "resp = requests.get(url)\n", + "resp.raise_for_status()\n", + "resp" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "data = resp.json()\n", + "data[0][\"title\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "issues = pd.DataFrame(data, columns=[\"number\", \"title\",\n", + " \"labels\", \"state\"])\n", + "issues" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "import sqlite3\n", + "\n", + "query = \"\"\"\n", + "CREATE TABLE test\n", + "(a VARCHAR(20), b VARCHAR(20),\n", + " c REAL, d INTEGER\n", + ");\"\"\"\n", + "\n", + "con = sqlite3.connect(\"mydata.sqlite\")\n", + "con.execute(query)\n", + "con.commit()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "data = [(\"Atlanta\", \"Georgia\", 1.25, 6),\n", + " (\"Tallahassee\", \"Florida\", 2.6, 3),\n", + " (\"Sacramento\", \"California\", 1.7, 5)]\n", + "stmt = \"INSERT INTO test VALUES(?, ?, ?, ?)\"\n", + "\n", + "con.executemany(stmt, data)\n", + "con.commit()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "cursor = con.execute(\"SELECT * FROM test\")\n", + "rows = cursor.fetchall()\n", + "rows" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.description\n", + "pd.DataFrame(rows, columns=[x[0] for x in cursor.description])" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "import sqlalchemy as sqla\n", + "db = sqla.create_engine(\"sqlite:///mydata.sqlite\")\n", + "pd.read_sql(\"SELECT * FROM test\", db)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "!rm mydata.sqlite" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { - "name": "", - "signature": "sha256:33b58f63005d8bb0bc3878707d8ea8a04902b6379eca42e5e6c26680a530c487" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "heading", - "level": 1, - "metadata": {}, - "source": [ - "Data loading, storage, and file formats" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from __future__ import division\n", - "from numpy.random import randn\n", - "import numpy as np\n", - "import os\n", - "import matplotlib.pyplot as plt\n", - "np.random.seed(12345)\n", - "plt.rc('figure', figsize=(10, 6))\n", - "from pandas import Series, DataFrame\n", - "import pandas as pd\n", - "np.set_printoptions(precision=4)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%pwd" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%cd ../book_scripts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Reading and Writing Data in Text Format" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "!cat ch06/ex1.csv" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = pd.read_csv('ch06/ex1.csv')\n", - "df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.read_table('ch06/ex1.csv', sep=',')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "!cat ch06/ex2.csv" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.read_csv('ch06/ex2.csv', header=None)\n", - "pd.read_csv('ch06/ex2.csv', names=['a', 'b', 'c', 'd', 'message'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "names = ['a', 'b', 'c', 'd', 'message']\n", - "pd.read_csv('ch06/ex2.csv', names=names, index_col='message')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "!cat ch06/csv_mindex.csv\n", - "parsed = pd.read_csv('ch06/csv_mindex.csv', index_col=['key1', 'key2'])\n", - "parsed" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "list(open('ch06/ex3.txt'))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = pd.read_table('ch06/ex3.txt', sep='\\s+')\n", - "result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "!cat ch06/ex4.csv\n", - "pd.read_csv('ch06/ex4.csv', skiprows=[0, 2, 3])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "!cat ch06/ex5.csv\n", - "result = pd.read_csv('ch06/ex5.csv')\n", - "result\n", - "pd.isnull(result)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = pd.read_csv('ch06/ex5.csv', na_values=['NULL'])\n", - "result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "sentinels = {'message': ['foo', 'NA'], 'something': ['two']}\n", - "pd.read_csv('ch06/ex5.csv', na_values=sentinels)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Reading text files in pieces" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = pd.read_csv('ch06/ex6.csv')\n", - "result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.read_csv('ch06/ex6.csv', nrows=5)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "chunker = pd.read_csv('ch06/ex6.csv', chunksize=1000)\n", - "chunker" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "chunker = pd.read_csv('ch06/ex6.csv', chunksize=1000)\n", - "\n", - "tot = Series([])\n", - "for piece in chunker:\n", - " tot = tot.add(piece['key'].value_counts(), fill_value=0)\n", - "\n", - "tot = tot.order(ascending=False)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tot[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Writing data out to text format" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = pd.read_csv('ch06/ex5.csv')\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.to_csv('ch06/out.csv')\n", - "!cat ch06/out.csv" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.to_csv(sys.stdout, sep='|')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.to_csv(sys.stdout, na_rep='NULL')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.to_csv(sys.stdout, index=False, header=False)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.to_csv(sys.stdout, index=False, columns=['a', 'b', 'c'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dates = pd.date_range('1/1/2000', periods=7)\n", - "ts = Series(np.arange(7), index=dates)\n", - "ts.to_csv('ch06/tseries.csv')\n", - "!cat ch06/tseries.csv" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "Series.from_csv('ch06/tseries.csv', parse_dates=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Manually working with delimited formats" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "!cat ch06/ex7.csv" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import csv\n", - "f = open('ch06/ex7.csv')\n", - "\n", - "reader = csv.reader(f)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "for line in reader:\n", - " print(line)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "lines = list(csv.reader(open('ch06/ex7.csv')))\n", - "header, values = lines[0], lines[1:]\n", - "data_dict = {h: v for h, v in zip(header, zip(*values))}\n", - "data_dict" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "class my_dialect(csv.Dialect):\n", - " lineterminator = '\\n'\n", - " delimiter = ';'\n", - " quotechar = '\"'\n", - " quoting = csv.QUOTE_MINIMAL" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "with open('mydata.csv', 'w') as f:\n", - " writer = csv.writer(f, dialect=my_dialect)\n", - " writer.writerow(('one', 'two', 'three'))\n", - " writer.writerow(('1', '2', '3'))\n", - " writer.writerow(('4', '5', '6'))\n", - " writer.writerow(('7', '8', '9'))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%cat mydata.csv" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "JSON data" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "obj = \"\"\"\n", - "{\"name\": \"Wes\",\n", - " \"places_lived\": [\"United States\", \"Spain\", \"Germany\"],\n", - " \"pet\": null,\n", - " \"siblings\": [{\"name\": \"Scott\", \"age\": 25, \"pet\": \"Zuko\"},\n", - " {\"name\": \"Katie\", \"age\": 33, \"pet\": \"Cisco\"}]\n", - "}\n", - "\"\"\"" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import json\n", - "result = json.loads(obj)\n", - "result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "asjson = json.dumps(result)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "siblings = DataFrame(result['siblings'], columns=['name', 'age'])\n", - "siblings" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "XML and HTML, Web scraping" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from lxml.html import parse\n", - "from urllib2 import urlopen\n", - "\n", - "parsed = parse(urlopen('http://finance.yahoo.com/q/op?s=AAPL+Options'))\n", - "\n", - "doc = parsed.getroot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "links = doc.findall('.//a')\n", - "links[15:20]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "lnk = links[28]\n", - "lnk\n", - "lnk.get('href')\n", - "lnk.text_content()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "urls = [lnk.get('href') for lnk in doc.findall('.//a')]\n", - "urls[-10:]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tables = doc.findall('.//table')\n", - "calls = tables[9]\n", - "puts = tables[13]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rows = calls.findall('.//tr')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def _unpack(row, kind='td'):\n", - " elts = row.findall('.//%s' % kind)\n", - " return [val.text_content() for val in elts]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "_unpack(rows[0], kind='th')\n", - "_unpack(rows[1], kind='td')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from pandas.io.parsers import TextParser\n", - "\n", - "def parse_options_data(table):\n", - " rows = table.findall('.//tr')\n", - " header = _unpack(rows[0], kind='th')\n", - " data = [_unpack(r) for r in rows[1:]]\n", - " return TextParser(data, names=header).get_chunk()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "call_data = parse_options_data(calls)\n", - "put_data = parse_options_data(puts)\n", - "call_data[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Parsing XML with lxml.objectify" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%cd mta_perf/Performance_XML_Data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "!head -21 Performance_MNR.xml" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from lxml import objectify\n", - "\n", - "path = 'Performance_MNR.xml'\n", - "parsed = objectify.parse(open(path))\n", - "root = parsed.getroot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = []\n", - "\n", - "skip_fields = ['PARENT_SEQ', 'INDICATOR_SEQ',\n", - " 'DESIRED_CHANGE', 'DECIMAL_PLACES']\n", - "\n", - "for elt in root.INDICATOR:\n", - " el_data = {}\n", - " for child in elt.getchildren():\n", - " if child.tag in skip_fields:\n", - " continue\n", - " el_data[child.tag] = child.pyval\n", - " data.append(el_data)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "perf = DataFrame(data)\n", - "perf" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "root" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "root.get('href')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": true, - "input": [ - "root.text" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Binary data formats" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "cd ../.." - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame = pd.read_csv('ch06/ex1.csv')\n", - "frame\n", - "frame.to_pickle('ch06/frame_pickle')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.read_pickle('ch06/frame_pickle')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Using HDF5 format" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "store = pd.HDFStore('mydata.h5')\n", - "store['obj1'] = frame\n", - "store['obj1_col'] = frame['a']\n", - "store" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "store['obj1']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "store.close()\n", - "os.remove('mydata.h5')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Interacting with HTML and Web APIs" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import requests\n", - "url = 'https://api.github.com/repos/pydata/pandas/milestones/28/labels'\n", - "resp = requests.get(url)\n", - "resp" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data[:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "issue_labels = DataFrame(data)\n", - "issue_labels" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Interacting with databases" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import sqlite3\n", - "\n", - "query = \"\"\"\n", - "CREATE TABLE test\n", - "(a VARCHAR(20), b VARCHAR(20),\n", - " c REAL, d INTEGER\n", - ");\"\"\"\n", - "\n", - "con = sqlite3.connect(':memory:')\n", - "con.execute(query)\n", - "con.commit()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = [('Atlanta', 'Georgia', 1.25, 6),\n", - " ('Tallahassee', 'Florida', 2.6, 3),\n", - " ('Sacramento', 'California', 1.7, 5)]\n", - "stmt = \"INSERT INTO test VALUES(?, ?, ?, ?)\"\n", - "\n", - "con.executemany(stmt, data)\n", - "con.commit()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "cursor = con.execute('select * from test')\n", - "rows = cursor.fetchall()\n", - "rows" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "cursor.description" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "DataFrame(rows, columns=zip(*cursor.description)[0])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import pandas.io.sql as sql\n", - "sql.read_sql('select * from test', con)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" } - ] + }, + "nbformat": 4, + "nbformat_minor": 4 } \ No newline at end of file diff --git a/ch06/ex3.csv b/ch06/ex3.csv deleted file mode 100644 index 0f2b3594c..000000000 --- a/ch06/ex3.csv +++ /dev/null @@ -1,5 +0,0 @@ - A B C -aaa -0.264438 -1.026059 -0.619500 -bbb 0.927272 0.302904 -0.032399 -ccc -0.264273 -0.386314 -0.217601 -ddd -0.871858 -0.348382 1.100491 \ No newline at end of file diff --git a/ch06/frame_pickle b/ch06/frame_pickle deleted file mode 100644 index 36e67e6e2..000000000 Binary files a/ch06/frame_pickle and /dev/null differ diff --git a/ch06/out.csv b/ch06/out.csv deleted file mode 100644 index c11f875d1..000000000 --- a/ch06/out.csv +++ /dev/null @@ -1,4 +0,0 @@ -,something,a,b,c,d,message -0,one,1,2,3.0,4, -1,two,5,6,,8,world -2,three,9,10,11.0,12,foo diff --git a/ch06/tseries.csv b/ch06/tseries.csv deleted file mode 100644 index 17e25dcf0..000000000 --- a/ch06/tseries.csv +++ /dev/null @@ -1,7 +0,0 @@ -2000-01-01 00:00:00,0 -2000-01-02 00:00:00,1 -2000-01-03 00:00:00,2 -2000-01-04 00:00:00,3 -2000-01-05 00:00:00,4 -2000-01-06 00:00:00,5 -2000-01-07 00:00:00,6 diff --git a/ch07.ipynb b/ch07.ipynb index 4cbcc731a..b36b58392 100644 --- a/ch07.ipynb +++ b/ch07.ipynb @@ -1,2292 +1,1312 @@ { + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "PREVIOUS_MAX_ROWS = pd.options.display.max_rows\n", + "pd.options.display.max_rows = 25\n", + "pd.options.display.max_columns = 20\n", + "pd.options.display.max_colwidth = 82\n", + "np.random.seed(12345)\n", + "import matplotlib.pyplot as plt\n", + "plt.rc(\"figure\", figsize=(10, 6))\n", + "np.set_printoptions(precision=4, suppress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "float_data = pd.Series([1.2, -3.5, np.nan, 0])\n", + "float_data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "float_data.isna()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "string_data = pd.Series([\"aardvark\", np.nan, None, \"avocado\"])\n", + "string_data\n", + "string_data.isna()\n", + "float_data = pd.Series([1, 2, None], dtype='float64')\n", + "float_data\n", + "float_data.isna()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.Series([1, np.nan, 3.5, np.nan, 7])\n", + "data.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "data[data.notna()]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame([[1., 6.5, 3.], [1., np.nan, np.nan],\n", + " [np.nan, np.nan, np.nan], [np.nan, 6.5, 3.]])\n", + "data\n", + "data.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "data.dropna(how=\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "data[4] = np.nan\n", + "data\n", + "data.dropna(axis=\"columns\", how=\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(np.random.standard_normal((7, 3)))\n", + "df.iloc[:4, 1] = np.nan\n", + "df.iloc[:2, 2] = np.nan\n", + "df\n", + "df.dropna()\n", + "df.dropna(thresh=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "df.fillna(0)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "df.fillna({1: 0.5, 2: 0})" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(np.random.standard_normal((6, 3)))\n", + "df.iloc[2:, 1] = np.nan\n", + "df.iloc[4:, 2] = np.nan\n", + "df\n", + "df.fillna(method=\"ffill\")\n", + "df.fillna(method=\"ffill\", limit=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.Series([1., np.nan, 3.5, np.nan, 7])\n", + "data.fillna(data.mean())" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame({\"k1\": [\"one\", \"two\"] * 3 + [\"two\"],\n", + " \"k2\": [1, 1, 2, 3, 3, 4, 4]})\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "data.duplicated()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "data.drop_duplicates()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "data[\"v1\"] = range(7)\n", + "data\n", + "data.drop_duplicates(subset=[\"k1\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "data.drop_duplicates([\"k1\", \"k2\"], keep=\"last\")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame({\"food\": [\"bacon\", \"pulled pork\", \"bacon\",\n", + " \"pastrami\", \"corned beef\", \"bacon\",\n", + " \"pastrami\", \"honey ham\", \"nova lox\"],\n", + " \"ounces\": [4, 3, 12, 6, 7.5, 8, 3, 5, 6]})\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "meat_to_animal = {\n", + " \"bacon\": \"pig\",\n", + " \"pulled pork\": \"pig\",\n", + " \"pastrami\": \"cow\",\n", + " \"corned beef\": \"cow\",\n", + " \"honey ham\": \"pig\",\n", + " \"nova lox\": \"salmon\"\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "data[\"animal\"] = data[\"food\"].map(meat_to_animal)\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "def get_animal(x):\n", + " return meat_to_animal[x]\n", + "data[\"food\"].map(get_animal)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.Series([1., -999., 2., -999., -1000., 3.])\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "data.replace(-999, np.nan)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "data.replace([-999, -1000], np.nan)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "data.replace([-999, -1000], [np.nan, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "data.replace({-999: np.nan, -1000: 0})" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame(np.arange(12).reshape((3, 4)),\n", + " index=[\"Ohio\", \"Colorado\", \"New York\"],\n", + " columns=[\"one\", \"two\", \"three\", \"four\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "def transform(x):\n", + " return x[:4].upper()\n", + "\n", + "data.index.map(transform)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "data.index = data.index.map(transform)\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "data.rename(index=str.title, columns=str.upper)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "data.rename(index={\"OHIO\": \"INDIANA\"},\n", + " columns={\"three\": \"peekaboo\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "ages = [20, 22, 25, 27, 21, 23, 37, 31, 61, 45, 41, 32]" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "bins = [18, 25, 35, 60, 100]\n", + "age_categories = pd.cut(ages, bins)\n", + "age_categories" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "age_categories.codes\n", + "age_categories.categories\n", + "age_categories.categories[0]\n", + "pd.value_counts(age_categories)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "pd.cut(ages, bins, right=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "group_names = [\"Youth\", \"YoungAdult\", \"MiddleAged\", \"Senior\"]\n", + "pd.cut(ages, bins, labels=group_names)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "data = np.random.uniform(size=20)\n", + "pd.cut(data, 4, precision=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "data = np.random.standard_normal(1000)\n", + "quartiles = pd.qcut(data, 4, precision=2)\n", + "quartiles\n", + "pd.value_counts(quartiles)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "pd.qcut(data, [0, 0.1, 0.5, 0.9, 1.]).value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame(np.random.standard_normal((1000, 4)))\n", + "data.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "col = data[2]\n", + "col[col.abs() > 3]" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "data[(data.abs() > 3).any(axis=\"columns\")]" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "data[data.abs() > 3] = np.sign(data) * 3\n", + "data.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "np.sign(data).head()" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(np.arange(5 * 7).reshape((5, 7)))\n", + "df\n", + "sampler = np.random.permutation(5)\n", + "sampler" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "df.take(sampler)\n", + "df.iloc[sampler]" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "column_sampler = np.random.permutation(7)\n", + "column_sampler\n", + "df.take(column_sampler, axis=\"columns\")" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "df.sample(n=3)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "choices = pd.Series([5, 7, -1, 6, 4])\n", + "choices.sample(n=10, replace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame({\"key\": [\"b\", \"b\", \"a\", \"c\", \"a\", \"b\"],\n", + " \"data1\": range(6)})\n", + "df\n", + "pd.get_dummies(df[\"key\"], dtype=float)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "dummies = pd.get_dummies(df[\"key\"], prefix=\"key\", dtype=float)\n", + "df_with_dummy = df[[\"data1\"]].join(dummies)\n", + "df_with_dummy" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "mnames = [\"movie_id\", \"title\", \"genres\"]\n", + "movies = pd.read_table(\"datasets/movielens/movies.dat\", sep=\"::\",\n", + " header=None, names=mnames, engine=\"python\")\n", + "movies[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "dummies = movies[\"genres\"].str.get_dummies(\"|\")\n", + "dummies.iloc[:10, :6]" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "movies_windic = movies.join(dummies.add_prefix(\"Genre_\"))\n", + "movies_windic.iloc[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "np.random.seed(12345) # to make the example repeatable\n", + "values = np.random.uniform(size=10)\n", + "values\n", + "bins = [0, 0.2, 0.4, 0.6, 0.8, 1]\n", + "pd.get_dummies(pd.cut(values, bins))" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "s = pd.Series([1, 2, 3, None])\n", + "s\n", + "s.dtype" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "s = pd.Series([1, 2, 3, None], dtype=pd.Int64Dtype())\n", + "s\n", + "s.isna()\n", + "s.dtype" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "s[3]\n", + "s[3] is pd.NA" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "s = pd.Series([1, 2, 3, None], dtype=\"Int64\")" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "s = pd.Series(['one', 'two', None, 'three'], dtype=pd.StringDtype())\n", + "s" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame({\"A\": [1, 2, None, 4],\n", + " \"B\": [\"one\", \"two\", \"three\", None],\n", + " \"C\": [False, None, False, True]})\n", + "df\n", + "df[\"A\"] = df[\"A\"].astype(\"Int64\")\n", + "df[\"B\"] = df[\"B\"].astype(\"string\")\n", + "df[\"C\"] = df[\"C\"].astype(\"boolean\")\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "val = \"a,b, guido\"\n", + "val.split(\",\")" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "pieces = [x.strip() for x in val.split(\",\")]\n", + "pieces" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "first, second, third = pieces\n", + "first + \"::\" + second + \"::\" + third" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "\"::\".join(pieces)" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "\"guido\" in val\n", + "val.index(\",\")\n", + "val.find(\":\")" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "val.index(\":\")" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "val.count(\",\")" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "val.replace(\",\", \"::\")\n", + "val.replace(\",\", \"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "import re\n", + "text = \"foo bar\\t baz \\tqux\"\n", + "re.split(r\"\\s+\", text)" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "regex = re.compile(r\"\\s+\")\n", + "regex.split(text)" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [], + "source": [ + "regex.findall(text)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "text = \"\"\"Dave dave@google.com\n", + "Steve steve@gmail.com\n", + "Rob rob@gmail.com\n", + "Ryan ryan@yahoo.com\"\"\"\n", + "pattern = r\"[A-Z0-9._%+-]+@[A-Z0-9.-]+\\.[A-Z]{2,4}\"\n", + "\n", + "# re.IGNORECASE makes the regex case insensitive\n", + "regex = re.compile(pattern, flags=re.IGNORECASE)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "regex.findall(text)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "m = regex.search(text)\n", + "m\n", + "text[m.start():m.end()]" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "print(regex.match(text))" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [], + "source": [ + "print(regex.sub(\"REDACTED\", text))" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "pattern = r\"([A-Z0-9._%+-]+)@([A-Z0-9.-]+)\\.([A-Z]{2,4})\"\n", + "regex = re.compile(pattern, flags=re.IGNORECASE)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "m = regex.match(\"wesm@bright.net\")\n", + "m.groups()" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "regex.findall(text)" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [], + "source": [ + "print(regex.sub(r\"Username: \\1, Domain: \\2, Suffix: \\3\", text))" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [], + "source": [ + "data = {\"Dave\": \"dave@google.com\", \"Steve\": \"steve@gmail.com\",\n", + " \"Rob\": \"rob@gmail.com\", \"Wes\": np.nan}\n", + "data = pd.Series(data)\n", + "data\n", + "data.isna()" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "data.str.contains(\"gmail\")" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [], + "source": [ + "data_as_string_ext = data.astype('string')\n", + "data_as_string_ext\n", + "data_as_string_ext.str.contains(\"gmail\")" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "pattern = r\"([A-Z0-9._%+-]+)@([A-Z0-9.-]+)\\.([A-Z]{2,4})\"\n", + "data.str.findall(pattern, flags=re.IGNORECASE)" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [], + "source": [ + "matches = data.str.findall(pattern, flags=re.IGNORECASE).str[0]\n", + "matches\n", + "matches.str.get(1)" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [], + "source": [ + "data.str[:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [], + "source": [ + "data.str.extract(pattern, flags=re.IGNORECASE)" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [], + "source": [ + "values = pd.Series(['apple', 'orange', 'apple',\n", + " 'apple'] * 2)\n", + "values\n", + "pd.unique(values)\n", + "pd.value_counts(values)" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [], + "source": [ + "values = pd.Series([0, 1, 0, 0] * 2)\n", + "dim = pd.Series(['apple', 'orange'])\n", + "values\n", + "dim" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [], + "source": [ + "dim.take(values)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [], + "source": [ + "fruits = ['apple', 'orange', 'apple', 'apple'] * 2\n", + "N = len(fruits)\n", + "rng = np.random.default_rng(seed=12345)\n", + "df = pd.DataFrame({'fruit': fruits,\n", + " 'basket_id': np.arange(N),\n", + " 'count': rng.integers(3, 15, size=N),\n", + " 'weight': rng.uniform(0, 4, size=N)},\n", + " columns=['basket_id', 'fruit', 'count', 'weight'])\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [], + "source": [ + "fruit_cat = df['fruit'].astype('category')\n", + "fruit_cat" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [], + "source": [ + "c = fruit_cat.array\n", + "type(c)" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [], + "source": [ + "c.categories\n", + "c.codes" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [], + "source": [ + "dict(enumerate(c.categories))" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [], + "source": [ + "df['fruit'] = df['fruit'].astype('category')\n", + "df[\"fruit\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [], + "source": [ + "my_categories = pd.Categorical(['foo', 'bar', 'baz', 'foo', 'bar'])\n", + "my_categories" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [], + "source": [ + "categories = ['foo', 'bar', 'baz']\n", + "codes = [0, 1, 2, 0, 0, 1]\n", + "my_cats_2 = pd.Categorical.from_codes(codes, categories)\n", + "my_cats_2" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [], + "source": [ + "ordered_cat = pd.Categorical.from_codes(codes, categories,\n", + " ordered=True)\n", + "ordered_cat" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [], + "source": [ + "my_cats_2.as_ordered()" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [], + "source": [ + "rng = np.random.default_rng(seed=12345)\n", + "draws = rng.standard_normal(1000)\n", + "draws[:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [], + "source": [ + "bins = pd.qcut(draws, 4)\n", + "bins" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [], + "source": [ + "bins = pd.qcut(draws, 4, labels=['Q1', 'Q2', 'Q3', 'Q4'])\n", + "bins\n", + "bins.codes[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [], + "source": [ + "bins = pd.Series(bins, name='quartile')\n", + "results = (pd.Series(draws)\n", + " .groupby(bins)\n", + " .agg(['count', 'min', 'max'])\n", + " .reset_index())\n", + "results" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [], + "source": [ + "results['quartile']" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [], + "source": [ + "N = 10_000_000\n", + "labels = pd.Series(['foo', 'bar', 'baz', 'qux'] * (N // 4))" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [], + "source": [ + "categories = labels.astype('category')" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [], + "source": [ + "labels.memory_usage(deep=True)\n", + "categories.memory_usage(deep=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [], + "source": [ + "%time _ = labels.astype('category')" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [], + "source": [ + "%timeit labels.value_counts()\n", + "%timeit categories.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [], + "source": [ + "s = pd.Series(['a', 'b', 'c', 'd'] * 2)\n", + "cat_s = s.astype('category')\n", + "cat_s" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [], + "source": [ + "cat_s.cat.codes\n", + "cat_s.cat.categories" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": {}, + "outputs": [], + "source": [ + "actual_categories = ['a', 'b', 'c', 'd', 'e']\n", + "cat_s2 = cat_s.cat.set_categories(actual_categories)\n", + "cat_s2" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [], + "source": [ + "cat_s.value_counts()\n", + "cat_s2.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": {}, + "outputs": [], + "source": [ + "cat_s3 = cat_s[cat_s.isin(['a', 'b'])]\n", + "cat_s3\n", + "cat_s3.cat.remove_unused_categories()" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "metadata": {}, + "outputs": [], + "source": [ + "cat_s = pd.Series(['a', 'b', 'c', 'd'] * 2, dtype='category')" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "metadata": {}, + "outputs": [], + "source": [ + "pd.get_dummies(cat_s, dtype=float)" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": {}, + "outputs": [], + "source": [ + "pd.options.display.max_rows = PREVIOUS_MAX_ROWS" + ] + } + ], "metadata": { - "name": "", - "signature": "sha256:9b3c55b1214330b9560e36ed5ace2e2bd26f9c642589d6c53379f139bc98862d" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Data Wrangling: Clean, Transform, Merge, Reshape" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from __future__ import division\n", - "from numpy.random import randn\n", - "import numpy as np\n", - "import os\n", - "import matplotlib.pyplot as plt\n", - "np.random.seed(12345)\n", - "plt.rc('figure', figsize=(10, 6))\n", - "from pandas import Series, DataFrame\n", - "import pandas\n", - "import pandas as pd\n", - "np.set_printoptions(precision=4, threshold=500)\n", - "pd.options.display.max_rows = 100" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%matplotlib inline" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%cd ../book_scripts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Combining and merging data sets" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Database-style DataFrame merges" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df1 = DataFrame({'key': ['b', 'b', 'a', 'c', 'a', 'a', 'b'],\n", - " 'data1': range(7)})\n", - "df2 = DataFrame({'key': ['a', 'b', 'd'],\n", - " 'data2': range(3)})\n", - "df1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.merge(df1, df2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.merge(df1, df2, on='key')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df3 = DataFrame({'lkey': ['b', 'b', 'a', 'c', 'a', 'a', 'b'],\n", - " 'data1': range(7)})\n", - "df4 = DataFrame({'rkey': ['a', 'b', 'd'],\n", - " 'data2': range(3)})\n", - "pd.merge(df3, df4, left_on='lkey', right_on='rkey')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.merge(df1, df2, how='outer')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df1 = DataFrame({'key': ['b', 'b', 'a', 'c', 'a', 'b'],\n", - " 'data1': range(6)})\n", - "df2 = DataFrame({'key': ['a', 'b', 'a', 'b', 'd'],\n", - " 'data2': range(5)})" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.merge(df1, df2, on='key', how='left')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.merge(df1, df2, how='inner')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "left = DataFrame({'key1': ['foo', 'foo', 'bar'],\n", - " 'key2': ['one', 'two', 'one'],\n", - " 'lval': [1, 2, 3]})\n", - "right = DataFrame({'key1': ['foo', 'foo', 'bar', 'bar'],\n", - " 'key2': ['one', 'one', 'one', 'two'],\n", - " 'rval': [4, 5, 6, 7]})\n", - "pd.merge(left, right, on=['key1', 'key2'], how='outer')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.merge(left, right, on='key1')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": true, - "input": [ - "pd.merge(left, right, on='key1', suffixes=('_left', '_right'))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Merging on index" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "left1 = DataFrame({'key': ['a', 'b', 'a', 'a', 'b', 'c'],\n", - " 'value': range(6)})\n", - "right1 = DataFrame({'group_val': [3.5, 7]}, index=['a', 'b'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "left1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "right1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.merge(left1, right1, left_on='key', right_index=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.merge(left1, right1, left_on='key', right_index=True, how='outer')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "lefth = DataFrame({'key1': ['Ohio', 'Ohio', 'Ohio', 'Nevada', 'Nevada'],\n", - " 'key2': [2000, 2001, 2002, 2001, 2002],\n", - " 'data': np.arange(5.)})\n", - "righth = DataFrame(np.arange(12).reshape((6, 2)),\n", - " index=[['Nevada', 'Nevada', 'Ohio', 'Ohio', 'Ohio', 'Ohio'],\n", - " [2001, 2000, 2000, 2000, 2001, 2002]],\n", - " columns=['event1', 'event2'])\n", - "lefth" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "righth" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.merge(lefth, righth, left_on=['key1', 'key2'], right_index=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.merge(lefth, righth, left_on=['key1', 'key2'],\n", - " right_index=True, how='outer')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "left2 = DataFrame([[1., 2.], [3., 4.], [5., 6.]], index=['a', 'c', 'e'],\n", - " columns=['Ohio', 'Nevada'])\n", - "right2 = DataFrame([[7., 8.], [9., 10.], [11., 12.], [13, 14]],\n", - " index=['b', 'c', 'd', 'e'], columns=['Missouri', 'Alabama'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "left2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "right2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.merge(left2, right2, how='outer', left_index=True, right_index=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "left2.join(right2, how='outer')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "left1.join(right1, on='key')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "another = DataFrame([[7., 8.], [9., 10.], [11., 12.], [16., 17.]],\n", - " index=['a', 'c', 'e', 'f'], columns=['New York', 'Oregon'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "left2.join([right2, another])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "left2.join([right2, another], how='outer')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Concatenating along an axis" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(12).reshape((3, 4))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.concatenate([arr, arr], axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "s1 = Series([0, 1], index=['a', 'b'])\n", - "s2 = Series([2, 3, 4], index=['c', 'd', 'e'])\n", - "s3 = Series([5, 6], index=['f', 'g'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.concat([s1, s2, s3])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.concat([s1, s2, s3], axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "s4 = pd.concat([s1 * 5, s3])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.concat([s1, s4], axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.concat([s1, s4], axis=1, join='inner')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.concat([s1, s4], axis=1, join_axes=[['a', 'c', 'b', 'e']])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = pd.concat([s1, s1, s3], keys=['one', 'two', 'three'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Much more on the unstack function later\n", - "result.unstack()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.concat([s1, s2, s3], axis=1, keys=['one', 'two', 'three'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df1 = DataFrame(np.arange(6).reshape(3, 2), index=['a', 'b', 'c'],\n", - " columns=['one', 'two'])\n", - "df2 = DataFrame(5 + np.arange(4).reshape(2, 2), index=['a', 'c'],\n", - " columns=['three', 'four'])\n", - "pd.concat([df1, df2], axis=1, keys=['level1', 'level2'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.concat({'level1': df1, 'level2': df2}, axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.concat([df1, df2], axis=1, keys=['level1', 'level2'],\n", - " names=['upper', 'lower'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df1 = DataFrame(np.random.randn(3, 4), columns=['a', 'b', 'c', 'd'])\n", - "df2 = DataFrame(np.random.randn(2, 3), columns=['b', 'd', 'a'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.concat([df1, df2], ignore_index=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Combining data with overlap" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a = Series([np.nan, 2.5, np.nan, 3.5, 4.5, np.nan],\n", - " index=['f', 'e', 'd', 'c', 'b', 'a'])\n", - "b = Series(np.arange(len(a), dtype=np.float64),\n", - " index=['f', 'e', 'd', 'c', 'b', 'a'])\n", - "b[-1] = np.nan" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "a" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "b" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.where(pd.isnull(a), b, a)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "b[:-2].combine_first(a[2:])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df1 = DataFrame({'a': [1., np.nan, 5., np.nan],\n", - " 'b': [np.nan, 2., np.nan, 6.],\n", - " 'c': range(2, 18, 4)})\n", - "df2 = DataFrame({'a': [5., 4., np.nan, 3., 7.],\n", - " 'b': [np.nan, 3., 4., 6., 8.]})\n", - "df1.combine_first(df2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Reshaping and pivoting" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Reshaping with hierarchical indexing" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = DataFrame(np.arange(6).reshape((2, 3)),\n", - " index=pd.Index(['Ohio', 'Colorado'], name='state'),\n", - " columns=pd.Index(['one', 'two', 'three'], name='number'))\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = data.stack()\n", - "result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result.unstack()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result.unstack(0)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result.unstack('state')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "s1 = Series([0, 1, 2, 3], index=['a', 'b', 'c', 'd'])\n", - "s2 = Series([4, 5, 6], index=['c', 'd', 'e'])\n", - "data2 = pd.concat([s1, s2], keys=['one', 'two'])\n", - "data2.unstack()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data2.unstack().stack()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data2.unstack().stack(dropna=False)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = DataFrame({'left': result, 'right': result + 5},\n", - " columns=pd.Index(['left', 'right'], name='side'))\n", - "df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.unstack('state')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.unstack('state').stack('side')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Pivoting \"long\" to \"wide\" format" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = pd.read_csv('ch07/macrodata.csv')\n", - "periods = pd.PeriodIndex(year=data.year, quarter=data.quarter, name='date')\n", - "data = DataFrame(data.to_records(),\n", - " columns=pd.Index(['realgdp', 'infl', 'unemp'], name='item'),\n", - " index=periods.to_timestamp('D', 'end'))\n", - "\n", - "ldata = data.stack().reset_index().rename(columns={0: 'value'})\n", - "wdata = ldata.pivot('date', 'item', 'value')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ldata[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pivoted = ldata.pivot('date', 'item', 'value')\n", - "pivoted.head()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ldata['value2'] = np.random.randn(len(ldata))\n", - "ldata[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pivoted = ldata.pivot('date', 'item')\n", - "pivoted[:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pivoted['value'][:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "unstacked = ldata.set_index(['date', 'item']).unstack('item')\n", - "unstacked[:7]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Data transformation" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Removing duplicates" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = DataFrame({'k1': ['one'] * 3 + ['two'] * 4,\n", - " 'k2': [1, 1, 2, 3, 3, 4, 4]})\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.duplicated()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.drop_duplicates()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data['v1'] = range(7)\n", - "data.drop_duplicates(['k1'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.drop_duplicates(['k1', 'k2'], take_last=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Transforming data using a function or mapping" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = DataFrame({'food': ['bacon', 'pulled pork', 'bacon', 'Pastrami',\n", - " 'corned beef', 'Bacon', 'pastrami', 'honey ham',\n", - " 'nova lox'],\n", - " 'ounces': [4, 3, 12, 6, 7.5, 8, 3, 5, 6]})\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "meat_to_animal = {\n", - " 'bacon': 'pig',\n", - " 'pulled pork': 'pig',\n", - " 'pastrami': 'cow',\n", - " 'corned beef': 'cow',\n", - " 'honey ham': 'pig',\n", - " 'nova lox': 'salmon'\n", - "}" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data['animal'] = data['food'].map(str.lower).map(meat_to_animal)\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data['food'].map(lambda x: meat_to_animal[x.lower()])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Replacing values" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = Series([1., -999., 2., -999., -1000., 3.])\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.replace(-999, np.nan)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.replace([-999, -1000], np.nan)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.replace([-999, -1000], [np.nan, 0])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.replace({-999: np.nan, -1000: 0})" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Renaming axis indexes" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = DataFrame(np.arange(12).reshape((3, 4)),\n", - " index=['Ohio', 'Colorado', 'New York'],\n", - " columns=['one', 'two', 'three', 'four'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.index.map(str.upper)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.index = data.index.map(str.upper)\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.rename(index=str.title, columns=str.upper)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.rename(index={'OHIO': 'INDIANA'},\n", - " columns={'three': 'peekaboo'})" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Always returns a reference to a DataFrame\n", - "_ = data.rename(index={'OHIO': 'INDIANA'}, inplace=True)\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Discretization and binning" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ages = [20, 22, 25, 27, 21, 23, 37, 31, 61, 45, 41, 32]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "bins = [18, 25, 35, 60, 100]\n", - "cats = pd.cut(ages, bins)\n", - "cats" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "cats.labels" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "cats.levels" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.value_counts(cats)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.cut(ages, [18, 26, 36, 61, 100], right=False)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "group_names = ['Youth', 'YoungAdult', 'MiddleAged', 'Senior']\n", - "pd.cut(ages, bins, labels=group_names)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = np.random.rand(20)\n", - "pd.cut(data, 4, precision=2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = np.random.randn(1000) # Normally distributed\n", - "cats = pd.qcut(data, 4) # Cut into quartiles\n", - "cats" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.value_counts(cats)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.qcut(data, [0, 0.1, 0.5, 0.9, 1.])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Detecting and filtering outliers" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.random.seed(12345)\n", - "data = DataFrame(np.random.randn(1000, 4))\n", - "data.describe()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "col = data[3]\n", - "col[np.abs(col) > 3]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data[(np.abs(data) > 3).any(1)]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data[np.abs(data) > 3] = np.sign(data) * 3\n", - "data.describe()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Permutation and random sampling" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = DataFrame(np.arange(5 * 4).reshape((5, 4)))\n", - "sampler = np.random.permutation(5)\n", - "sampler" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.take(sampler)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.take(np.random.permutation(len(df))[:3])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "bag = np.array([5, 7, -1, 6, 4])\n", - "sampler = np.random.randint(0, len(bag), size=10)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "sampler" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "draws = bag.take(sampler)\n", - "draws" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Computing indicator / dummy variables" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = DataFrame({'key': ['b', 'b', 'a', 'c', 'a', 'b'],\n", - " 'data1': range(6)})\n", - "pd.get_dummies(df['key'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dummies = pd.get_dummies(df['key'], prefix='key')\n", - "df_with_dummy = df[['data1']].join(dummies)\n", - "df_with_dummy" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "mnames = ['movie_id', 'title', 'genres']\n", - "movies = pd.read_table('ch07/movies.dat', sep='::', header=None,\n", - " names=mnames)\n", - "movies[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "genre_iter = (set(x.split('|')) for x in movies.genres)\n", - "genres = sorted(set.union(*genre_iter))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dummies = DataFrame(np.zeros((len(movies), len(genres))), columns=genres)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "for i, gen in enumerate(movies.genres):\n", - " dummies.ix[i, gen.split('|')] = 1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "movies_windic = movies.join(dummies.add_prefix('Genre_'))\n", - "movies_windic.ix[0]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.random.seed(12345)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "values = np.random.rand(10)\n", - "values" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "bins = [0, 0.2, 0.4, 0.6, 0.8, 1]\n", - "pd.get_dummies(pd.cut(values, bins))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "String manipulation" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "String object methods" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "val = 'a,b, guido'\n", - "val.split(',')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pieces = [x.strip() for x in val.split(',')]\n", - "pieces" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "first, second, third = pieces\n", - "first + '::' + second + '::' + third" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "'::'.join(pieces)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "'guido' in val" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "val.index(',')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "val.find(':')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "val.index(':')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "val.count(',')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "val.replace(',', '::')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "val.replace(',', '')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Regular expressions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import re\n", - "text = \"foo bar\\t baz \\tqux\"\n", - "re.split('\\s+', text)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "regex = re.compile('\\s+')\n", - "regex.split(text)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "regex.findall(text)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "text = \"\"\"Dave dave@google.com\n", - "Steve steve@gmail.com\n", - "Rob rob@gmail.com\n", - "Ryan ryan@yahoo.com\n", - "\"\"\"\n", - "pattern = r'[A-Z0-9._%+-]+@[A-Z0-9.-]+\\.[A-Z]{2,4}'\n", - "\n", - "# re.IGNORECASE makes the regex case-insensitive\n", - "regex = re.compile(pattern, flags=re.IGNORECASE)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "regex.findall(text)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "m = regex.search(text)\n", - "m" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "text[m.start():m.end()]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print(regex.match(text))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print(regex.sub('REDACTED', text))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pattern = r'([A-Z0-9._%+-]+)@([A-Z0-9.-]+)\\.([A-Z]{2,4})'\n", - "regex = re.compile(pattern, flags=re.IGNORECASE)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "m = regex.match('wesm@bright.net')\n", - "m.groups()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "regex.findall(text)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print(regex.sub(r'Username: \\1, Domain: \\2, Suffix: \\3', text))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "regex = re.compile(r\"\"\"\n", - " (?P[A-Z0-9._%+-]+)\n", - " @\n", - " (?P[A-Z0-9.-]+)\n", - " \\.\n", - " (?P[A-Z]{2,4})\"\"\", flags=re.IGNORECASE|re.VERBOSE)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "m = regex.match('wesm@bright.net')\n", - "m.groupdict()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Vectorized string functions in pandas" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = {'Dave': 'dave@google.com', 'Steve': 'steve@gmail.com',\n", - " 'Rob': 'rob@gmail.com', 'Wes': np.nan}\n", - "data = Series(data)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.isnull()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.str.contains('gmail')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pattern" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.str.findall(pattern, flags=re.IGNORECASE)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "matches = data.str.match(pattern, flags=re.IGNORECASE)\n", - "matches" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "matches.str.get(1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "matches.str[0]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.str[:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Example: USDA Food Database" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "{\n", - " \"id\": 21441,\n", - " \"description\": \"KENTUCKY FRIED CHICKEN, Fried Chicken, EXTRA CRISPY,\n", - "Wing, meat and skin with breading\",\n", - " \"tags\": [\"KFC\"],\n", - " \"manufacturer\": \"Kentucky Fried Chicken\",\n", - " \"group\": \"Fast Foods\",\n", - " \"portions\": [\n", - " {\n", - " \"amount\": 1,\n", - " \"unit\": \"wing, with skin\",\n", - " \"grams\": 68.0\n", - " },\n", - "\n", - " ...\n", - " ],\n", - " \"nutrients\": [\n", - " {\n", - " \"value\": 20.8,\n", - " \"units\": \"g\",\n", - " \"description\": \"Protein\",\n", - " \"group\": \"Composition\"\n", - " },\n", - "\n", - " ...\n", - " ]\n", - "}" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import json\n", - "db = json.load(open('ch07/foods-2011-10-03.json'))\n", - "len(db)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "db[0].keys()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "db[0]['nutrients'][0]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "nutrients = DataFrame(db[0]['nutrients'])\n", - "nutrients[:7]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "info_keys = ['description', 'group', 'id', 'manufacturer']\n", - "info = DataFrame(db, columns=info_keys)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "info[:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "info" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.value_counts(info.group)[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "nutrients = []\n", - "\n", - "for rec in db:\n", - " fnuts = DataFrame(rec['nutrients'])\n", - " fnuts['id'] = rec['id']\n", - " nutrients.append(fnuts)\n", - "\n", - "nutrients = pd.concat(nutrients, ignore_index=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "nutrients" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "nutrients.duplicated().sum()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "nutrients = nutrients.drop_duplicates()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "col_mapping = {'description' : 'food',\n", - " 'group' : 'fgroup'}\n", - "info = info.rename(columns=col_mapping, copy=False)\n", - "info" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "col_mapping = {'description' : 'nutrient',\n", - " 'group' : 'nutgroup'}\n", - "nutrients = nutrients.rename(columns=col_mapping, copy=False)\n", - "nutrients" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ndata = pd.merge(nutrients, info, on='id', how='outer')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ndata" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ndata.ix[30000]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = ndata.groupby(['nutrient', 'fgroup'])['value'].quantile(0.5)\n", - "result['Zinc, Zn'].order().plot(kind='barh')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "by_nutrient = ndata.groupby(['nutgroup', 'nutrient'])\n", - "\n", - "get_maximum = lambda x: x.xs(x.value.idxmax())\n", - "get_minimum = lambda x: x.xs(x.value.idxmin())\n", - "\n", - "max_foods = by_nutrient.apply(get_maximum)[['value', 'food']]\n", - "\n", - "# make the food a little smaller\n", - "max_foods.food = max_foods.food.str[:50]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "max_foods.ix['Amino Acids']['food']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" } - ] + }, + "nbformat": 4, + "nbformat_minor": 4 } \ No newline at end of file diff --git a/ch07/analysis.py b/ch07/analysis.py deleted file mode 100644 index 6ffb2794d..000000000 --- a/ch07/analysis.py +++ /dev/null @@ -1,80 +0,0 @@ -from pandas import * -from pandas.util.decorators import cache_readonly -import numpy as np -import os - -base = 'ml-100k' - -class IndexedFrame(object): - """ - - """ - - def __init__(self, frame, field): - self.frame = frame - - def _build_index(self): - pass - -class Movielens(object): - - def __init__(self, base='ml-100k'): - self.base = base - - @cache_readonly - def data(self): - names = ['user_id', 'item_id', 'rating', 'timestamp'] - path = os.path.join(self.base, 'u.data') - return read_table(path, header=None, names=names) - - @cache_readonly - def users(self): - names = ['user_id', 'age', 'gender', 'occupation', 'zip'] - path = os.path.join(self.base, 'u.user') - return read_table(path, sep='|', header=None, names=names) - - @cache_readonly - def items(self): - names = ['item_id', 'title', 'release_date', 'video_date', - 'url', 'unknown', 'Action', 'Adventure', 'Animation', - "Children's", 'Comedy', 'Crime', 'Documentary', 'Drama', - 'Fantasy', 'Film-Noir', 'Horror', 'Musical', 'Mystery', - 'Romance', 'Sci-Fi', 'Thriller', 'War', 'Western'] - path = os.path.join(self.base, 'u.item') - return read_table(path, sep='|', header=None, names=names) - - @cache_readonly - def genres(self): - names = ['name', 'id'] - path = os.path.join(self.base, 'u.genre') - data = read_table(path, sep='|', header=None, names=names)[:-1] - return Series(data.name, data.id) - - @cache_readonly - def joined(self): - merged = merge(self.data, self.users) - merged = merge(merged, self.items) - return merged - - def movie_stats(self, title): - data = self.joined[self.joined.title == title] - - return data.groupby('gender').rating.mean() - -def biggest_gender_discrep(data): - nobs = data.pivot_table('rating', rows='title', - cols='gender', aggfunc=len, fill_value=0) - mask = (nobs.values > 10).all(1) - titles = nobs.index[mask] - - mean_ratings = data.pivot_table('rating', rows='title', - cols='gender', aggfunc='mean') - mean_ratings = mean_ratings.ix[titles] - - diff = mean_ratings.M - mean_ratings.F - return diff[np.abs(diff).argsort()[::-1]] - -buckets = [0, 18, 25, 35, 50, 80] - -ml = Movielens() -title = 'Cable Guy, The (1996)' diff --git a/ch07/macrodata.csv b/ch07/macrodata.csv deleted file mode 100644 index 2496f7ca2..000000000 --- a/ch07/macrodata.csv +++ /dev/null @@ -1,204 +0,0 @@ -year,quarter,realgdp,realcons,realinv,realgovt,realdpi,cpi,m1,tbilrate,unemp,pop,infl,realint -1959.0,1.0,2710.349,1707.4,286.898,470.045,1886.9,28.98,139.7,2.82,5.8,177.146,0.0,0.0 -1959.0,2.0,2778.801,1733.7,310.859,481.301,1919.7,29.15,141.7,3.08,5.1,177.83,2.34,0.74 -1959.0,3.0,2775.488,1751.8,289.226,491.26,1916.4,29.35,140.5,3.82,5.3,178.657,2.74,1.09 -1959.0,4.0,2785.204,1753.7,299.356,484.052,1931.3,29.37,140.0,4.33,5.6,179.386,0.27,4.06 -1960.0,1.0,2847.699,1770.5,331.722,462.199,1955.5,29.54,139.6,3.5,5.2,180.007,2.31,1.19 -1960.0,2.0,2834.39,1792.9,298.152,460.4,1966.1,29.55,140.2,2.68,5.2,180.671,0.14,2.55 -1960.0,3.0,2839.022,1785.8,296.375,474.676,1967.8,29.75,140.9,2.36,5.6,181.528,2.7,-0.34 -1960.0,4.0,2802.616,1788.2,259.764,476.434,1966.6,29.84,141.1,2.29,6.3,182.287,1.21,1.08 -1961.0,1.0,2819.264,1787.7,266.405,475.854,1984.5,29.81,142.1,2.37,6.8,182.992,-0.4,2.77 -1961.0,2.0,2872.005,1814.3,286.246,480.328,2014.4,29.92,142.9,2.29,7.0,183.691,1.47,0.81 -1961.0,3.0,2918.419,1823.1,310.227,493.828,2041.9,29.98,144.1,2.32,6.8,184.524,0.8,1.52 -1961.0,4.0,2977.83,1859.6,315.463,502.521,2082.0,30.04,145.2,2.6,6.2,185.242,0.8,1.8 -1962.0,1.0,3031.241,1879.4,334.271,520.96,2101.7,30.21,146.4,2.73,5.6,185.874,2.26,0.47 -1962.0,2.0,3064.709,1902.5,331.039,523.066,2125.2,30.22,146.5,2.78,5.5,186.538,0.13,2.65 -1962.0,3.0,3093.047,1917.9,336.962,538.838,2137.0,30.38,146.7,2.78,5.6,187.323,2.11,0.67 -1962.0,4.0,3100.563,1945.1,325.65,535.912,2154.6,30.44,148.3,2.87,5.5,188.013,0.79,2.08 -1963.0,1.0,3141.087,1958.2,343.721,522.917,2172.5,30.48,149.7,2.9,5.8,188.58,0.53,2.38 -1963.0,2.0,3180.447,1976.9,348.73,518.108,2193.1,30.69,151.3,3.03,5.7,189.242,2.75,0.29 -1963.0,3.0,3240.332,2003.8,360.102,546.893,2217.9,30.75,152.6,3.38,5.5,190.028,0.78,2.6 -1963.0,4.0,3264.967,2020.6,364.534,532.383,2254.6,30.94,153.7,3.52,5.6,190.668,2.46,1.06 -1964.0,1.0,3338.246,2060.5,379.523,529.686,2299.6,30.95,154.8,3.51,5.5,191.245,0.13,3.38 -1964.0,2.0,3376.587,2096.7,377.778,526.175,2362.1,31.02,156.8,3.47,5.2,191.889,0.9,2.57 -1964.0,3.0,3422.469,2135.2,386.754,522.008,2392.7,31.12,159.2,3.53,5.0,192.631,1.29,2.25 -1964.0,4.0,3431.957,2141.2,389.91,514.603,2420.4,31.28,160.7,3.76,5.0,193.223,2.05,1.71 -1965.0,1.0,3516.251,2188.8,429.145,508.006,2447.4,31.38,162.0,3.93,4.9,193.709,1.28,2.65 -1965.0,2.0,3563.96,2213.0,429.119,508.931,2474.5,31.58,163.1,3.84,4.7,194.303,2.54,1.3 -1965.0,3.0,3636.285,2251.0,444.444,529.446,2542.6,31.65,166.0,3.93,4.4,194.997,0.89,3.04 -1965.0,4.0,3724.014,2314.3,446.493,544.121,2594.1,31.88,169.1,4.35,4.1,195.539,2.9,1.46 -1966.0,1.0,3815.423,2348.5,484.244,556.593,2618.4,32.28,171.8,4.62,3.9,195.999,4.99,-0.37 -1966.0,2.0,3828.124,2354.5,475.408,571.371,2624.7,32.45,170.3,4.65,3.8,196.56,2.1,2.55 -1966.0,3.0,3853.301,2381.5,470.697,594.514,2657.8,32.85,171.2,5.23,3.8,197.207,4.9,0.33 -1966.0,4.0,3884.52,2391.4,472.957,599.528,2688.2,32.9,171.9,5.0,3.7,197.736,0.61,4.39 -1967.0,1.0,3918.74,2405.3,460.007,640.682,2728.4,33.1,174.2,4.22,3.8,198.206,2.42,1.8 -1967.0,2.0,3919.556,2438.1,440.393,631.43,2750.8,33.4,178.1,3.78,3.8,198.712,3.61,0.17 -1967.0,3.0,3950.826,2450.6,453.033,641.504,2777.1,33.7,181.6,4.42,3.8,199.311,3.58,0.84 -1967.0,4.0,3980.97,2465.7,462.834,640.234,2797.4,34.1,184.3,4.9,3.9,199.808,4.72,0.18 -1968.0,1.0,4063.013,2524.6,472.907,651.378,2846.2,34.4,186.6,5.18,3.7,200.208,3.5,1.67 -1968.0,2.0,4131.998,2563.3,492.026,646.145,2893.5,34.9,190.5,5.5,3.5,200.706,5.77,-0.28 -1968.0,3.0,4160.267,2611.5,476.053,640.615,2899.3,35.3,194.0,5.21,3.5,201.29,4.56,0.65 -1968.0,4.0,4178.293,2623.5,480.998,636.729,2918.4,35.7,198.7,5.85,3.4,201.76,4.51,1.34 -1969.0,1.0,4244.1,2652.9,512.686,633.224,2923.4,36.3,200.7,6.08,3.4,202.161,6.67,-0.58 -1969.0,2.0,4256.46,2669.8,508.601,623.16,2952.9,36.8,201.7,6.49,3.4,202.677,5.47,1.02 -1969.0,3.0,4283.378,2682.7,520.36,623.613,3012.9,37.3,202.9,7.02,3.6,203.302,5.4,1.63 -1969.0,4.0,4263.261,2704.1,492.334,606.9,3034.9,37.9,206.2,7.64,3.6,203.849,6.38,1.26 -1970.0,1.0,4256.573,2720.7,476.925,594.888,3050.1,38.5,206.7,6.76,4.2,204.401,6.28,0.47 -1970.0,2.0,4264.289,2733.2,478.419,576.257,3103.5,38.9,208.0,6.66,4.8,205.052,4.13,2.52 -1970.0,3.0,4302.259,2757.1,486.594,567.743,3145.4,39.4,212.9,6.15,5.2,205.788,5.11,1.04 -1970.0,4.0,4256.637,2749.6,458.406,564.666,3135.1,39.9,215.5,4.86,5.8,206.466,5.04,-0.18 -1971.0,1.0,4374.016,2802.2,517.935,542.709,3197.3,40.1,220.0,3.65,5.9,207.065,2.0,1.65 -1971.0,2.0,4398.829,2827.9,533.986,534.905,3245.3,40.6,224.9,4.76,5.9,207.661,4.96,-0.19 -1971.0,3.0,4433.943,2850.4,541.01,532.646,3259.7,40.9,227.2,4.7,6.0,208.345,2.94,1.75 -1971.0,4.0,4446.264,2897.8,524.085,516.14,3294.2,41.2,230.1,3.87,6.0,208.917,2.92,0.95 -1972.0,1.0,4525.769,2936.5,561.147,518.192,3314.9,41.5,235.6,3.55,5.8,209.386,2.9,0.64 -1972.0,2.0,4633.101,2992.6,595.495,526.473,3346.1,41.8,238.8,3.86,5.7,209.896,2.88,0.98 -1972.0,3.0,4677.503,3038.8,603.97,498.116,3414.6,42.2,245.0,4.47,5.6,210.479,3.81,0.66 -1972.0,4.0,4754.546,3110.1,607.104,496.54,3550.5,42.7,251.5,5.09,5.3,210.985,4.71,0.38 -1973.0,1.0,4876.166,3167.0,645.654,504.838,3590.7,43.7,252.7,5.98,5.0,211.42,9.26,-3.28 -1973.0,2.0,4932.571,3165.4,675.837,497.033,3626.2,44.2,257.5,7.19,4.9,211.909,4.55,2.64 -1973.0,3.0,4906.252,3176.7,649.412,475.897,3644.4,45.6,259.0,8.06,4.8,212.475,12.47,-4.41 -1973.0,4.0,4953.05,3167.4,674.253,476.174,3688.9,46.8,263.8,7.68,4.8,212.932,10.39,-2.71 -1974.0,1.0,4909.617,3139.7,631.23,491.043,3632.3,48.1,267.2,7.8,5.1,213.361,10.96,-3.16 -1974.0,2.0,4922.188,3150.6,628.102,490.177,3601.1,49.3,269.3,7.89,5.2,213.854,9.86,-1.96 -1974.0,3.0,4873.52,3163.6,592.672,492.586,3612.4,51.0,272.3,8.16,5.6,214.451,13.56,-5.4 -1974.0,4.0,4854.34,3117.3,598.306,496.176,3596.0,52.3,273.9,6.96,6.6,214.931,10.07,-3.11 -1975.0,1.0,4795.295,3143.4,493.212,490.603,3581.9,53.0,276.2,5.53,8.2,215.353,5.32,0.22 -1975.0,2.0,4831.942,3195.8,476.085,486.679,3749.3,54.0,283.7,5.57,8.9,215.973,7.48,-1.91 -1975.0,3.0,4913.328,3241.4,516.402,498.836,3698.6,54.9,285.4,6.27,8.5,216.587,6.61,-0.34 -1975.0,4.0,4977.511,3275.7,530.596,500.141,3736.0,55.8,288.4,5.26,8.3,217.095,6.5,-1.24 -1976.0,1.0,5090.663,3341.2,585.541,495.568,3791.0,56.1,294.7,4.91,7.7,217.528,2.14,2.77 -1976.0,2.0,5128.947,3371.8,610.513,494.532,3822.2,57.0,297.2,5.28,7.6,218.035,6.37,-1.09 -1976.0,3.0,5154.072,3407.5,611.646,493.141,3856.7,57.9,302.0,5.05,7.7,218.644,6.27,-1.22 -1976.0,4.0,5191.499,3451.8,615.898,494.415,3884.4,58.7,308.3,4.57,7.8,219.179,5.49,-0.92 -1977.0,1.0,5251.762,3491.3,646.198,498.509,3887.5,60.0,316.0,4.6,7.5,219.684,8.76,-4.16 -1977.0,2.0,5356.131,3510.6,696.141,506.695,3931.8,60.8,320.2,5.06,7.1,220.239,5.3,-0.24 -1977.0,3.0,5451.921,3544.1,734.078,509.605,3990.8,61.6,326.4,5.82,6.9,220.904,5.23,0.59 -1977.0,4.0,5450.793,3597.5,713.356,504.584,4071.2,62.7,334.4,6.2,6.6,221.477,7.08,-0.88 -1978.0,1.0,5469.405,3618.5,727.504,506.314,4096.4,63.9,339.9,6.34,6.3,221.991,7.58,-1.24 -1978.0,2.0,5684.569,3695.9,777.454,518.366,4143.4,65.5,347.6,6.72,6.0,222.585,9.89,-3.18 -1978.0,3.0,5740.3,3711.4,801.452,520.199,4177.1,67.1,353.3,7.64,6.0,223.271,9.65,-2.01 -1978.0,4.0,5816.222,3741.3,819.689,524.782,4209.8,68.5,358.6,9.02,5.9,223.865,8.26,0.76 -1979.0,1.0,5825.949,3760.2,819.556,525.524,4255.9,70.6,368.0,9.42,5.9,224.438,12.08,-2.66 -1979.0,2.0,5831.418,3758.0,817.66,532.04,4226.1,73.0,377.2,9.3,5.7,225.055,13.37,-4.07 -1979.0,3.0,5873.335,3794.9,801.742,531.232,4250.3,75.2,380.8,10.49,5.9,225.801,11.88,-1.38 -1979.0,4.0,5889.495,3805.0,786.817,531.126,4284.3,78.0,385.8,11.94,5.9,226.451,14.62,-2.68 -1980.0,1.0,5908.467,3798.4,781.114,548.115,4296.2,80.9,383.8,13.75,6.3,227.061,14.6,-0.85 -1980.0,2.0,5787.373,3712.2,710.64,561.895,4236.1,82.6,394.0,7.9,7.3,227.726,8.32,-0.42 -1980.0,3.0,5776.617,3752.0,656.477,554.292,4279.7,84.7,409.0,10.34,7.7,228.417,10.04,0.3 -1980.0,4.0,5883.46,3802.0,723.22,556.13,4368.1,87.2,411.3,14.75,7.4,228.937,11.64,3.11 -1981.0,1.0,6005.717,3822.8,795.091,567.618,4358.1,89.1,427.4,13.95,7.4,229.403,8.62,5.32 -1981.0,2.0,5957.795,3822.8,757.24,584.54,4358.6,91.5,426.9,15.33,7.4,229.966,10.63,4.69 -1981.0,3.0,6030.184,3838.3,804.242,583.89,4455.4,93.4,428.4,14.58,7.4,230.641,8.22,6.36 -1981.0,4.0,5955.062,3809.3,773.053,590.125,4464.4,94.4,442.7,11.33,8.2,231.157,4.26,7.07 -1982.0,1.0,5857.333,3833.9,692.514,591.043,4469.6,95.0,447.1,12.95,8.8,231.645,2.53,10.42 -1982.0,2.0,5889.074,3847.7,691.9,596.403,4500.8,97.5,448.0,11.97,9.4,232.188,10.39,1.58 -1982.0,3.0,5866.37,3877.2,683.825,605.37,4520.6,98.1,464.5,8.1,9.9,232.816,2.45,5.65 -1982.0,4.0,5871.001,3947.9,622.93,623.307,4536.4,97.9,477.2,7.96,10.7,233.322,-0.82,8.77 -1983.0,1.0,5944.02,3986.6,645.11,630.873,4572.2,98.8,493.2,8.22,10.4,233.781,3.66,4.56 -1983.0,2.0,6077.619,4065.7,707.372,644.322,4605.5,99.8,507.8,8.69,10.1,234.307,4.03,4.66 -1983.0,3.0,6197.468,4137.6,754.937,662.412,4674.7,100.8,517.2,8.99,9.4,234.907,3.99,5.01 -1983.0,4.0,6325.574,4203.2,834.427,639.197,4771.1,102.1,525.1,8.89,8.5,235.385,5.13,3.76 -1984.0,1.0,6448.264,4239.2,921.763,644.635,4875.4,103.3,535.0,9.43,7.9,235.839,4.67,4.76 -1984.0,2.0,6559.594,4299.9,952.841,664.839,4959.4,104.1,540.9,9.94,7.5,236.348,3.09,6.85 -1984.0,3.0,6623.343,4333.0,974.989,662.294,5036.6,105.1,543.7,10.19,7.4,236.976,3.82,6.37 -1984.0,4.0,6677.264,4390.1,958.993,684.282,5084.5,105.7,557.0,8.14,7.3,237.468,2.28,5.87 -1985.0,1.0,6740.275,4464.6,927.375,691.613,5072.0,107.0,570.4,8.25,7.3,237.9,4.89,3.36 -1985.0,2.0,6797.344,4505.2,943.383,708.524,5172.7,107.7,589.1,7.17,7.3,238.466,2.61,4.56 -1985.0,3.0,6903.523,4590.8,932.959,732.305,5140.7,108.5,607.8,7.13,7.2,239.113,2.96,4.17 -1985.0,4.0,6955.918,4600.9,969.434,732.026,5193.9,109.9,621.4,7.14,7.0,239.638,5.13,2.01 -1986.0,1.0,7022.757,4639.3,967.442,728.125,5255.8,108.7,641.0,6.56,7.0,240.094,-4.39,10.95 -1986.0,2.0,7050.969,4688.7,945.972,751.334,5315.5,109.5,670.3,6.06,7.2,240.651,2.93,3.13 -1986.0,3.0,7118.95,4770.7,916.315,779.77,5343.3,110.2,694.9,5.31,7.0,241.274,2.55,2.76 -1986.0,4.0,7153.359,4799.4,917.736,767.671,5346.5,111.4,730.2,5.44,6.8,241.784,4.33,1.1 -1987.0,1.0,7193.019,4792.1,945.776,772.247,5379.4,112.7,743.9,5.61,6.6,242.252,4.64,0.97 -1987.0,2.0,7269.51,4856.3,947.1,782.962,5321.0,113.8,743.0,5.67,6.3,242.804,3.89,1.79 -1987.0,3.0,7332.558,4910.4,948.055,783.804,5416.2,115.0,756.2,6.19,6.0,243.446,4.2,1.99 -1987.0,4.0,7458.022,4922.2,1021.98,795.467,5493.1,116.0,756.2,5.76,5.9,243.981,3.46,2.29 -1988.0,1.0,7496.6,5004.4,964.398,773.851,5562.1,117.2,768.1,5.76,5.7,244.445,4.12,1.64 -1988.0,2.0,7592.881,5040.8,987.858,765.98,5614.3,118.5,781.4,6.48,5.5,245.021,4.41,2.07 -1988.0,3.0,7632.082,5080.6,994.204,760.245,5657.5,119.9,783.3,7.22,5.5,245.693,4.7,2.52 -1988.0,4.0,7733.991,5140.4,1007.371,783.065,5708.5,121.2,785.7,8.03,5.3,246.224,4.31,3.72 -1989.0,1.0,7806.603,5159.3,1045.975,767.024,5773.4,123.1,779.2,8.67,5.2,246.721,6.22,2.44 -1989.0,2.0,7865.016,5182.4,1033.753,784.275,5749.8,124.5,777.8,8.15,5.2,247.342,4.52,3.63 -1989.0,3.0,7927.393,5236.1,1021.604,791.819,5787.0,125.4,786.6,7.76,5.3,248.067,2.88,4.88 -1989.0,4.0,7944.697,5261.7,1011.119,787.844,5831.3,127.5,795.4,7.65,5.4,248.659,6.64,1.01 -1990.0,1.0,8027.693,5303.3,1021.07,799.681,5875.1,128.9,806.2,7.8,5.3,249.306,4.37,3.44 -1990.0,2.0,8059.598,5320.8,1021.36,800.639,5913.9,130.5,810.1,7.7,5.3,250.132,4.93,2.76 -1990.0,3.0,8059.476,5341.0,997.319,793.513,5918.1,133.4,819.8,7.33,5.7,251.057,8.79,-1.46 -1990.0,4.0,7988.864,5299.5,934.248,800.525,5878.2,134.7,827.2,6.67,6.1,251.889,3.88,2.79 -1991.0,1.0,7950.164,5284.4,896.21,806.775,5896.3,135.1,843.2,5.83,6.6,252.643,1.19,4.65 -1991.0,2.0,8003.822,5324.7,891.704,809.081,5941.1,136.2,861.5,5.54,6.8,253.493,3.24,2.29 -1991.0,3.0,8037.538,5345.0,913.904,793.987,5953.6,137.2,878.0,5.18,6.9,254.435,2.93,2.25 -1991.0,4.0,8069.046,5342.6,948.891,778.378,5992.4,138.3,910.4,4.14,7.1,255.214,3.19,0.95 -1992.0,1.0,8157.616,5434.5,927.796,778.568,6082.9,139.4,943.8,3.88,7.4,255.992,3.17,0.71 -1992.0,2.0,8244.294,5466.7,988.912,777.762,6129.5,140.5,963.2,3.5,7.6,256.894,3.14,0.36 -1992.0,3.0,8329.361,5527.1,999.135,786.639,6160.6,141.7,1003.8,2.97,7.6,257.861,3.4,-0.44 -1992.0,4.0,8417.016,5594.6,1030.758,787.064,6248.2,142.8,1030.4,3.12,7.4,258.679,3.09,0.02 -1993.0,1.0,8432.485,5617.2,1054.979,762.901,6156.5,143.8,1047.6,2.92,7.2,259.414,2.79,0.13 -1993.0,2.0,8486.435,5671.1,1063.263,752.158,6252.3,144.5,1084.5,3.02,7.1,260.255,1.94,1.08 -1993.0,3.0,8531.108,5732.7,1062.514,744.227,6265.7,145.6,1113.0,3.0,6.8,261.163,3.03,-0.04 -1993.0,4.0,8643.769,5783.7,1118.583,748.102,6358.1,146.3,1131.6,3.05,6.6,261.919,1.92,1.13 -1994.0,1.0,8727.919,5848.1,1166.845,721.288,6332.6,147.2,1141.1,3.48,6.6,262.631,2.45,1.02 -1994.0,2.0,8847.303,5891.5,1234.855,717.197,6440.6,148.4,1150.5,4.2,6.2,263.436,3.25,0.96 -1994.0,3.0,8904.289,5938.7,1212.655,736.89,6487.9,149.4,1150.1,4.68,6.0,264.301,2.69,2.0 -1994.0,4.0,9003.18,5997.3,1269.19,716.702,6574.0,150.5,1151.4,5.53,5.6,265.044,2.93,2.6 -1995.0,1.0,9025.267,6004.3,1282.09,715.326,6616.6,151.8,1149.3,5.72,5.5,265.755,3.44,2.28 -1995.0,2.0,9044.668,6053.5,1247.61,712.492,6617.2,152.6,1145.4,5.52,5.7,266.557,2.1,3.42 -1995.0,3.0,9120.684,6107.6,1235.601,707.649,6666.8,153.5,1137.3,5.32,5.7,267.456,2.35,2.97 -1995.0,4.0,9184.275,6150.6,1270.392,681.081,6706.2,154.7,1123.5,5.17,5.6,268.151,3.11,2.05 -1996.0,1.0,9247.188,6206.9,1287.128,695.265,6777.7,156.1,1124.8,4.91,5.5,268.853,3.6,1.31 -1996.0,2.0,9407.052,6277.1,1353.795,705.172,6850.6,157.0,1112.4,5.09,5.5,269.667,2.3,2.79 -1996.0,3.0,9488.879,6314.6,1422.059,692.741,6908.9,158.2,1086.1,5.04,5.3,270.581,3.05,2.0 -1996.0,4.0,9592.458,6366.1,1418.193,690.744,6946.8,159.4,1081.5,4.99,5.3,271.36,3.02,1.97 -1997.0,1.0,9666.235,6430.2,1451.304,681.445,7008.9,159.9,1063.8,5.1,5.2,272.083,1.25,3.85 -1997.0,2.0,9809.551,6456.2,1543.976,693.525,7061.5,160.4,1066.2,5.01,5.0,272.912,1.25,3.76 -1997.0,3.0,9932.672,6566.0,1571.426,691.261,7142.4,161.5,1065.5,5.02,4.9,273.852,2.73,2.29 -1997.0,4.0,10008.874,6641.1,1596.523,690.311,7241.5,162.0,1074.4,5.11,4.7,274.626,1.24,3.88 -1998.0,1.0,10103.425,6707.2,1672.732,668.783,7406.2,162.2,1076.1,5.02,4.6,275.304,0.49,4.53 -1998.0,2.0,10194.277,6822.6,1652.716,687.184,7512.0,163.2,1075.0,4.98,4.4,276.115,2.46,2.52 -1998.0,3.0,10328.787,6913.1,1700.071,681.472,7591.0,163.9,1086.0,4.49,4.5,277.003,1.71,2.78 -1998.0,4.0,10507.575,7019.1,1754.743,688.147,7646.5,164.7,1097.8,4.38,4.4,277.79,1.95,2.43 -1999.0,1.0,10601.179,7088.3,1809.993,683.601,7698.4,165.9,1101.9,4.39,4.3,278.451,2.9,1.49 -1999.0,2.0,10684.049,7199.9,1803.674,683.594,7716.0,166.7,1098.7,4.54,4.3,279.295,1.92,2.62 -1999.0,3.0,10819.914,7286.4,1848.949,697.936,7765.9,168.1,1102.3,4.75,4.2,280.203,3.35,1.41 -1999.0,4.0,11014.254,7389.2,1914.567,713.445,7887.7,169.3,1121.9,5.2,4.1,280.976,2.85,2.35 -2000.0,1.0,11043.044,7501.3,1887.836,685.216,8053.4,170.9,1113.5,5.63,4.0,281.653,3.76,1.87 -2000.0,2.0,11258.454,7571.8,2018.529,712.641,8135.9,172.7,1103.0,5.81,3.9,282.385,4.19,1.62 -2000.0,3.0,11267.867,7645.9,1986.956,698.827,8222.3,173.9,1098.7,6.07,4.0,283.19,2.77,3.3 -2000.0,4.0,11334.544,7713.5,1987.845,695.597,8234.6,175.6,1097.7,5.7,3.9,283.9,3.89,1.81 -2001.0,1.0,11297.171,7744.3,1882.691,710.403,8296.5,176.4,1114.9,4.39,4.2,284.55,1.82,2.57 -2001.0,2.0,11371.251,7773.5,1876.65,725.623,8273.7,177.4,1139.7,3.54,4.4,285.267,2.26,1.28 -2001.0,3.0,11340.075,7807.7,1837.074,730.493,8484.5,177.6,1166.0,2.72,4.8,286.047,0.45,2.27 -2001.0,4.0,11380.128,7930.0,1731.189,739.318,8385.5,177.7,1190.9,1.74,5.5,286.728,0.23,1.51 -2002.0,1.0,11477.868,7957.3,1789.327,756.915,8611.6,179.3,1185.9,1.75,5.7,287.328,3.59,-1.84 -2002.0,2.0,11538.77,7997.8,1810.779,774.408,8658.9,180.0,1199.5,1.7,5.8,288.028,1.56,0.14 -2002.0,3.0,11596.43,8052.0,1814.531,786.673,8629.2,181.2,1204.0,1.61,5.7,288.783,2.66,-1.05 -2002.0,4.0,11598.824,8080.6,1813.219,799.967,8649.6,182.6,1226.8,1.2,5.8,289.421,3.08,-1.88 -2003.0,1.0,11645.819,8122.3,1813.141,800.196,8681.3,183.2,1248.4,1.14,5.9,290.019,1.31,-0.17 -2003.0,2.0,11738.706,8197.8,1823.698,838.775,8812.5,183.7,1287.9,0.96,6.2,290.704,1.09,-0.13 -2003.0,3.0,11935.461,8312.1,1889.883,839.598,8935.4,184.9,1297.3,0.94,6.1,291.449,2.6,-1.67 -2003.0,4.0,12042.817,8358.0,1959.783,845.722,8986.4,186.3,1306.1,0.9,5.8,292.057,3.02,-2.11 -2004.0,1.0,12127.623,8437.6,1970.015,856.57,9025.9,187.4,1332.1,0.94,5.7,292.635,2.35,-1.42 -2004.0,2.0,12213.818,8483.2,2055.58,861.44,9115.0,189.1,1340.5,1.21,5.6,293.31,3.61,-2.41 -2004.0,3.0,12303.533,8555.8,2082.231,876.385,9175.9,190.8,1361.0,1.63,5.4,294.066,3.58,-1.95 -2004.0,4.0,12410.282,8654.2,2125.152,865.596,9303.4,191.8,1366.6,2.2,5.4,294.741,2.09,0.11 -2005.0,1.0,12534.113,8719.0,2170.299,869.204,9189.6,193.8,1357.8,2.69,5.3,295.308,4.15,-1.46 -2005.0,2.0,12587.535,8802.9,2131.468,870.044,9253.0,194.7,1366.6,3.01,5.1,295.994,1.85,1.16 -2005.0,3.0,12683.153,8865.6,2154.949,890.394,9308.0,199.2,1375.0,3.52,5.0,296.77,9.14,-5.62 -2005.0,4.0,12748.699,8888.5,2232.193,875.557,9358.7,199.4,1380.6,4.0,4.9,297.435,0.4,3.6 -2006.0,1.0,12915.938,8986.6,2264.721,900.511,9533.8,200.7,1380.5,4.51,4.7,298.061,2.6,1.91 -2006.0,2.0,12962.462,9035.0,2261.247,892.839,9617.3,202.7,1369.2,4.82,4.7,298.766,3.97,0.85 -2006.0,3.0,12965.916,9090.7,2229.636,892.002,9662.5,201.9,1369.4,4.9,4.7,299.593,-1.58,6.48 -2006.0,4.0,13060.679,9181.6,2165.966,894.404,9788.8,203.574,1373.6,4.92,4.4,300.32,3.3,1.62 -2007.0,1.0,13099.901,9265.1,2132.609,882.766,9830.2,205.92,1379.7,4.95,4.5,300.977,4.58,0.36 -2007.0,2.0,13203.977,9291.5,2162.214,898.713,9842.7,207.338,1370.0,4.72,4.5,301.714,2.75,1.97 -2007.0,3.0,13321.109,9335.6,2166.491,918.983,9883.9,209.133,1379.2,4.0,4.7,302.509,3.45,0.55 -2007.0,4.0,13391.249,9363.6,2123.426,925.11,9886.2,212.495,1377.4,3.01,4.8,303.204,6.38,-3.37 -2008.0,1.0,13366.865,9349.6,2082.886,943.372,9826.8,213.997,1384.0,1.56,4.9,303.803,2.82,-1.26 -2008.0,2.0,13415.266,9351.0,2026.518,961.28,10059.0,218.61,1409.3,1.74,5.4,304.483,8.53,-6.79 -2008.0,3.0,13324.6,9267.7,1990.693,991.551,9838.3,216.889,1474.7,1.17,6.0,305.27,-3.16,4.33 -2008.0,4.0,13141.92,9195.3,1857.661,1007.273,9920.4,212.174,1576.5,0.12,6.9,305.952,-8.79,8.91 -2009.0,1.0,12925.41,9209.2,1558.494,996.287,9926.4,212.671,1592.8,0.22,8.1,306.547,0.94,-0.71 -2009.0,2.0,12901.504,9189.0,1456.678,1023.528,10077.5,214.469,1653.6,0.18,9.2,307.226,3.37,-3.19 -2009.0,3.0,12990.341,9256.0,1486.398,1044.088,10040.6,216.385,1673.9,0.12,9.6,308.013,3.56,-3.44 diff --git a/ch07/olivier.txt b/ch07/olivier.txt deleted file mode 100644 index 28266380a..000000000 --- a/ch07/olivier.txt +++ /dev/null @@ -1,15 +0,0 @@ -We currently don't have any high level routines for dealing with the -recommendation systems / matrix completion tasks in scikit-learn. - -However you should be able to run a approximate truncated SVD using -sklearn.decomposition.RandomizedPCA on it (once converted as a -scipy.sparse.csr_matrix) and extract the first 100 components or so. -This can be the base of baseline recommender system as explained in -this blog post http://www.igvita.com/2007/01/15/svd-recommendation-system-in-ruby/ - -Also maybe scipy's arpack might be able to compute the SVD of such a -large sparse matrix. - -You also might want to have a look at https://github.com/muricoca/crab -. It has utilities for loading the movielens data and implements some -common recommender systems strategies. diff --git a/ch08.ipynb b/ch08.ipynb index 994cda63a..3d10db19e 100644 --- a/ch08.ipynb +++ b/ch08.ipynb @@ -1,980 +1,866 @@ { + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "pd.options.display.max_rows = 20\n", + "pd.options.display.max_colwidth = 80\n", + "pd.options.display.max_columns = 20\n", + "np.random.seed(12345)\n", + "import matplotlib.pyplot as plt\n", + "plt.rc(\"figure\", figsize=(10, 6))\n", + "np.set_printoptions(precision=4, suppress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.Series(np.random.uniform(size=9),\n", + " index=[[\"a\", \"a\", \"a\", \"b\", \"b\", \"c\", \"c\", \"d\", \"d\"],\n", + " [1, 2, 3, 1, 3, 1, 2, 2, 3]])\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "data.index" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "data[\"b\"]\n", + "data[\"b\":\"c\"]\n", + "data.loc[[\"b\", \"d\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "data.loc[:, 2]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "data.unstack()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "data.unstack().stack()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.DataFrame(np.arange(12).reshape((4, 3)),\n", + " index=[[\"a\", \"a\", \"b\", \"b\"], [1, 2, 1, 2]],\n", + " columns=[[\"Ohio\", \"Ohio\", \"Colorado\"],\n", + " [\"Green\", \"Red\", \"Green\"]])\n", + "frame" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "frame.index.names = [\"key1\", \"key2\"]\n", + "frame.columns.names = [\"state\", \"color\"]\n", + "frame" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "frame.index.nlevels" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "frame[\"Ohio\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "frame.swaplevel(\"key1\", \"key2\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "frame.sort_index(level=1)\n", + "frame.swaplevel(0, 1).sort_index(level=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "frame.groupby(level=\"key2\").sum()\n", + "frame.groupby(level=\"color\", axis=\"columns\").sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.DataFrame({\"a\": range(7), \"b\": range(7, 0, -1),\n", + " \"c\": [\"one\", \"one\", \"one\", \"two\", \"two\",\n", + " \"two\", \"two\"],\n", + " \"d\": [0, 1, 2, 0, 1, 2, 3]})\n", + "frame" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "frame2 = frame.set_index([\"c\", \"d\"])\n", + "frame2" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "frame.set_index([\"c\", \"d\"], drop=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "frame2.reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "df1 = pd.DataFrame({\"key\": [\"b\", \"b\", \"a\", \"c\", \"a\", \"a\", \"b\"],\n", + " \"data1\": pd.Series(range(7), dtype=\"Int64\")})\n", + "df2 = pd.DataFrame({\"key\": [\"a\", \"b\", \"d\"],\n", + " \"data2\": pd.Series(range(3), dtype=\"Int64\")})\n", + "df1\n", + "df2" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "pd.merge(df1, df2)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "pd.merge(df1, df2, on=\"key\")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "df3 = pd.DataFrame({\"lkey\": [\"b\", \"b\", \"a\", \"c\", \"a\", \"a\", \"b\"],\n", + " \"data1\": pd.Series(range(7), dtype=\"Int64\")})\n", + "df4 = pd.DataFrame({\"rkey\": [\"a\", \"b\", \"d\"],\n", + " \"data2\": pd.Series(range(3), dtype=\"Int64\")})\n", + "pd.merge(df3, df4, left_on=\"lkey\", right_on=\"rkey\")" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "pd.merge(df1, df2, how=\"outer\")\n", + "pd.merge(df3, df4, left_on=\"lkey\", right_on=\"rkey\", how=\"outer\")" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "df1 = pd.DataFrame({\"key\": [\"b\", \"b\", \"a\", \"c\", \"a\", \"b\"],\n", + " \"data1\": pd.Series(range(6), dtype=\"Int64\")})\n", + "df2 = pd.DataFrame({\"key\": [\"a\", \"b\", \"a\", \"b\", \"d\"],\n", + " \"data2\": pd.Series(range(5), dtype=\"Int64\")})\n", + "df1\n", + "df2\n", + "pd.merge(df1, df2, on=\"key\", how=\"left\")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "pd.merge(df1, df2, how=\"inner\")" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "left = pd.DataFrame({\"key1\": [\"foo\", \"foo\", \"bar\"],\n", + " \"key2\": [\"one\", \"two\", \"one\"],\n", + " \"lval\": pd.Series([1, 2, 3], dtype='Int64')})\n", + "right = pd.DataFrame({\"key1\": [\"foo\", \"foo\", \"bar\", \"bar\"],\n", + " \"key2\": [\"one\", \"one\", \"one\", \"two\"],\n", + " \"rval\": pd.Series([4, 5, 6, 7], dtype='Int64')})\n", + "pd.merge(left, right, on=[\"key1\", \"key2\"], how=\"outer\")" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "pd.merge(left, right, on=\"key1\")" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "pd.merge(left, right, on=\"key1\", suffixes=(\"_left\", \"_right\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "left1 = pd.DataFrame({\"key\": [\"a\", \"b\", \"a\", \"a\", \"b\", \"c\"],\n", + " \"value\": pd.Series(range(6), dtype=\"Int64\")})\n", + "right1 = pd.DataFrame({\"group_val\": [3.5, 7]}, index=[\"a\", \"b\"])\n", + "left1\n", + "right1\n", + "pd.merge(left1, right1, left_on=\"key\", right_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "pd.merge(left1, right1, left_on=\"key\", right_index=True, how=\"outer\")" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "lefth = pd.DataFrame({\"key1\": [\"Ohio\", \"Ohio\", \"Ohio\",\n", + " \"Nevada\", \"Nevada\"],\n", + " \"key2\": [2000, 2001, 2002, 2001, 2002],\n", + " \"data\": pd.Series(range(5), dtype=\"Int64\")})\n", + "righth_index = pd.MultiIndex.from_arrays(\n", + " [\n", + " [\"Nevada\", \"Nevada\", \"Ohio\", \"Ohio\", \"Ohio\", \"Ohio\"],\n", + " [2001, 2000, 2000, 2000, 2001, 2002]\n", + " ]\n", + ")\n", + "righth = pd.DataFrame({\"event1\": pd.Series([0, 2, 4, 6, 8, 10], dtype=\"Int64\",\n", + " index=righth_index),\n", + " \"event2\": pd.Series([1, 3, 5, 7, 9, 11], dtype=\"Int64\",\n", + " index=righth_index)})\n", + "lefth\n", + "righth" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "pd.merge(lefth, righth, left_on=[\"key1\", \"key2\"], right_index=True)\n", + "pd.merge(lefth, righth, left_on=[\"key1\", \"key2\"],\n", + " right_index=True, how=\"outer\")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "left2 = pd.DataFrame([[1., 2.], [3., 4.], [5., 6.]],\n", + " index=[\"a\", \"c\", \"e\"],\n", + " columns=[\"Ohio\", \"Nevada\"]).astype(\"Int64\")\n", + "right2 = pd.DataFrame([[7., 8.], [9., 10.], [11., 12.], [13, 14]],\n", + " index=[\"b\", \"c\", \"d\", \"e\"],\n", + " columns=[\"Missouri\", \"Alabama\"]).astype(\"Int64\")\n", + "left2\n", + "right2\n", + "pd.merge(left2, right2, how=\"outer\", left_index=True, right_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "left2.join(right2, how=\"outer\")" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "left1.join(right1, on=\"key\")" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "another = pd.DataFrame([[7., 8.], [9., 10.], [11., 12.], [16., 17.]],\n", + " index=[\"a\", \"c\", \"e\", \"f\"],\n", + " columns=[\"New York\", \"Oregon\"])\n", + "another\n", + "left2.join([right2, another])\n", + "left2.join([right2, another], how=\"outer\")" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "arr = np.arange(12).reshape((3, 4))\n", + "arr\n", + "np.concatenate([arr, arr], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "s1 = pd.Series([0, 1], index=[\"a\", \"b\"], dtype=\"Int64\")\n", + "s2 = pd.Series([2, 3, 4], index=[\"c\", \"d\", \"e\"], dtype=\"Int64\")\n", + "s3 = pd.Series([5, 6], index=[\"f\", \"g\"], dtype=\"Int64\")" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "s1\n", + "s2\n", + "s3\n", + "pd.concat([s1, s2, s3])" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "pd.concat([s1, s2, s3], axis=\"columns\")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "s4 = pd.concat([s1, s3])\n", + "s4\n", + "pd.concat([s1, s4], axis=\"columns\")\n", + "pd.concat([s1, s4], axis=\"columns\", join=\"inner\")" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "result = pd.concat([s1, s1, s3], keys=[\"one\", \"two\", \"three\"])\n", + "result\n", + "result.unstack()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "pd.concat([s1, s2, s3], axis=\"columns\", keys=[\"one\", \"two\", \"three\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "df1 = pd.DataFrame(np.arange(6).reshape(3, 2), index=[\"a\", \"b\", \"c\"],\n", + " columns=[\"one\", \"two\"])\n", + "df2 = pd.DataFrame(5 + np.arange(4).reshape(2, 2), index=[\"a\", \"c\"],\n", + " columns=[\"three\", \"four\"])\n", + "df1\n", + "df2\n", + "pd.concat([df1, df2], axis=\"columns\", keys=[\"level1\", \"level2\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "pd.concat({\"level1\": df1, \"level2\": df2}, axis=\"columns\")" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "pd.concat([df1, df2], axis=\"columns\", keys=[\"level1\", \"level2\"],\n", + " names=[\"upper\", \"lower\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "df1 = pd.DataFrame(np.random.standard_normal((3, 4)),\n", + " columns=[\"a\", \"b\", \"c\", \"d\"])\n", + "df2 = pd.DataFrame(np.random.standard_normal((2, 3)),\n", + " columns=[\"b\", \"d\", \"a\"])\n", + "df1\n", + "df2" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "pd.concat([df1, df2], ignore_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "a = pd.Series([np.nan, 2.5, 0.0, 3.5, 4.5, np.nan],\n", + " index=[\"f\", \"e\", \"d\", \"c\", \"b\", \"a\"])\n", + "b = pd.Series([0., np.nan, 2., np.nan, np.nan, 5.],\n", + " index=[\"a\", \"b\", \"c\", \"d\", \"e\", \"f\"])\n", + "a\n", + "b\n", + "np.where(pd.isna(a), b, a)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "a.combine_first(b)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "df1 = pd.DataFrame({\"a\": [1., np.nan, 5., np.nan],\n", + " \"b\": [np.nan, 2., np.nan, 6.],\n", + " \"c\": range(2, 18, 4)})\n", + "df2 = pd.DataFrame({\"a\": [5., 4., np.nan, 3., 7.],\n", + " \"b\": [np.nan, 3., 4., 6., 8.]})\n", + "df1\n", + "df2\n", + "df1.combine_first(df2)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame(np.arange(6).reshape((2, 3)),\n", + " index=pd.Index([\"Ohio\", \"Colorado\"], name=\"state\"),\n", + " columns=pd.Index([\"one\", \"two\", \"three\"],\n", + " name=\"number\"))\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "result = data.stack()\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "result.unstack()" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "result.unstack(level=0)\n", + "result.unstack(level=\"state\")" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "s1 = pd.Series([0, 1, 2, 3], index=[\"a\", \"b\", \"c\", \"d\"], dtype=\"Int64\")\n", + "s2 = pd.Series([4, 5, 6], index=[\"c\", \"d\", \"e\"], dtype=\"Int64\")\n", + "data2 = pd.concat([s1, s2], keys=[\"one\", \"two\"])\n", + "data2" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "data2.unstack()\n", + "data2.unstack().stack()\n", + "data2.unstack().stack(dropna=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame({\"left\": result, \"right\": result + 5},\n", + " columns=pd.Index([\"left\", \"right\"], name=\"side\"))\n", + "df\n", + "df.unstack(level=\"state\")" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "df.unstack(level=\"state\").stack(level=\"side\")" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_csv(\"examples/macrodata.csv\")\n", + "data = data.loc[:, [\"year\", \"quarter\", \"realgdp\", \"infl\", \"unemp\"]]\n", + "data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "periods = pd.PeriodIndex(year=data.pop(\"year\"),\n", + " quarter=data.pop(\"quarter\"),\n", + " name=\"date\")\n", + "periods\n", + "data.index = periods.to_timestamp(\"D\")\n", + "data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "data = data.reindex(columns=[\"realgdp\", \"infl\", \"unemp\"])\n", + "data.columns.name = \"item\"\n", + "data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "long_data = (data.stack()\n", + " .reset_index()\n", + " .rename(columns={0: \"value\"}))" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "long_data[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "pivoted = long_data.pivot(index=\"date\", columns=\"item\",\n", + " values=\"value\")\n", + "pivoted.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "long_data.index.name = None" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "long_data[\"value2\"] = np.random.standard_normal(len(long_data))\n", + "long_data[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "pivoted = long_data.pivot(index=\"date\", columns=\"item\")\n", + "pivoted.head()\n", + "pivoted[\"value\"].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "unstacked = long_data.set_index([\"date\", \"item\"]).unstack(level=\"item\")\n", + "unstacked.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame({\"key\": [\"foo\", \"bar\", \"baz\"],\n", + " \"A\": [1, 2, 3],\n", + " \"B\": [4, 5, 6],\n", + " \"C\": [7, 8, 9]})\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "melted = pd.melt(df, id_vars=\"key\")\n", + "melted" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "reshaped = melted.pivot(index=\"key\", columns=\"variable\",\n", + " values=\"value\")\n", + "reshaped" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "reshaped.reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [], + "source": [ + "pd.melt(df, id_vars=\"key\", value_vars=[\"A\", \"B\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "pd.melt(df, value_vars=[\"A\", \"B\", \"C\"])\n", + "pd.melt(df, value_vars=[\"key\", \"A\", \"B\"])" + ] + } + ], "metadata": { - "name": "", - "signature": "sha256:91cb49615ff73ea799022440811545d971f344925e863113d3a6e221eeb2e798" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "heading", - "level": 1, - "metadata": {}, - "source": [ - "Plotting and Visualization" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from __future__ import division\n", - "from numpy.random import randn\n", - "import numpy as np\n", - "import os\n", - "import matplotlib.pyplot as plt\n", - "np.random.seed(12345)\n", - "plt.rc('figure', figsize=(10, 6))\n", - "from pandas import Series, DataFrame\n", - "import pandas as pd\n", - "np.set_printoptions(precision=4)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%matplotlib inline" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%pwd" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%cd ../book_scripts/" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "A brief matplotlib API primer" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import matplotlib.pyplot as plt" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Figures and Subplots" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig = plt.figure()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ax1 = fig.add_subplot(2, 2, 1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ax2 = fig.add_subplot(2, 2, 2)\n", - "ax3 = fig.add_subplot(2, 2, 3)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from numpy.random import randn\n", - "plt.plot(randn(50).cumsum(), 'k--')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "_ = ax1.hist(randn(100), bins=20, color='k', alpha=0.3)\n", - "ax2.scatter(np.arange(30), np.arange(30) + 3 * randn(30))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.close('all')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig, axes = plt.subplots(2, 3)\n", - "axes" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Adjusting the spacing around subplots" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.subplots_adjust(left=None, bottom=None, right=None, top=None,\n", - " wspace=None, hspace=None)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig, axes = plt.subplots(2, 2, sharex=True, sharey=True)\n", - "for i in range(2):\n", - " for j in range(2):\n", - " axes[i, j].hist(randn(500), bins=50, color='k', alpha=0.5)\n", - "plt.subplots_adjust(wspace=0, hspace=0)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig, axes = plt.subplots(2, 2, sharex=True, sharey=True)\n", - "for i in range(2):\n", - " for j in range(2):\n", - " axes[i, j].hist(randn(500), bins=50, color='k', alpha=0.5)\n", - "plt.subplots_adjust(wspace=0, hspace=0)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Colors, markers, and line styles" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.figure()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.plot(randn(30).cumsum(), 'ko--')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.close('all')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = randn(30).cumsum()\n", - "plt.plot(data, 'k--', label='Default')\n", - "plt.plot(data, 'k-', drawstyle='steps-post', label='steps-post')\n", - "plt.legend(loc='best')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Ticks, labels, and legends" - ] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Setting the title, axis labels, ticks, and ticklabels" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig = plt.figure(); ax = fig.add_subplot(1, 1, 1)\n", - "ax.plot(randn(1000).cumsum())\n", - "\n", - "ticks = ax.set_xticks([0, 250, 500, 750, 1000])\n", - "labels = ax.set_xticklabels(['one', 'two', 'three', 'four', 'five'],\n", - " rotation=30, fontsize='small')\n", - "ax.set_title('My first matplotlib plot')\n", - "ax.set_xlabel('Stages')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Adding legends" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig = plt.figure(); ax = fig.add_subplot(1, 1, 1)\n", - "ax.plot(randn(1000).cumsum(), 'k', label='one')\n", - "ax.plot(randn(1000).cumsum(), 'k--', label='two')\n", - "ax.plot(randn(1000).cumsum(), 'k.', label='three')\n", - "\n", - "ax.legend(loc='best')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Annotations and drawing on a subplot" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from datetime import datetime\n", - "\n", - "fig = plt.figure()\n", - "ax = fig.add_subplot(1, 1, 1)\n", - "\n", - "data = pd.read_csv('ch08/spx.csv', index_col=0, parse_dates=True)\n", - "spx = data['SPX']\n", - "\n", - "spx.plot(ax=ax, style='k-')\n", - "\n", - "crisis_data = [\n", - " (datetime(2007, 10, 11), 'Peak of bull market'),\n", - " (datetime(2008, 3, 12), 'Bear Stearns Fails'),\n", - " (datetime(2008, 9, 15), 'Lehman Bankruptcy')\n", - "]\n", - "\n", - "for date, label in crisis_data:\n", - " ax.annotate(label, xy=(date, spx.asof(date) + 50),\n", - " xytext=(date, spx.asof(date) + 200),\n", - " arrowprops=dict(facecolor='black'),\n", - " horizontalalignment='left', verticalalignment='top')\n", - "\n", - "# Zoom in on 2007-2010\n", - "ax.set_xlim(['1/1/2007', '1/1/2011'])\n", - "ax.set_ylim([600, 1800])\n", - "\n", - "ax.set_title('Important dates in 2008-2009 financial crisis')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig = plt.figure()\n", - "ax = fig.add_subplot(1, 1, 1)\n", - "\n", - "rect = plt.Rectangle((0.2, 0.75), 0.4, 0.15, color='k', alpha=0.3)\n", - "circ = plt.Circle((0.7, 0.2), 0.15, color='b', alpha=0.3)\n", - "pgon = plt.Polygon([[0.15, 0.15], [0.35, 0.4], [0.2, 0.6]],\n", - " color='g', alpha=0.5)\n", - "\n", - "ax.add_patch(rect)\n", - "ax.add_patch(circ)\n", - "ax.add_patch(pgon)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Saving plots to file" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig.savefig('figpath.svg')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig.savefig('figpath.png', dpi=400, bbox_inches='tight')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from io import BytesIO\n", - "buffer = BytesIO()\n", - "plt.savefig(buffer)\n", - "plot_data = buffer.getvalue()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "matplotlib configuration" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.rc('figure', figsize=(10, 10))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Plotting functions in pandas" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Line plots" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.close('all')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "s = Series(np.random.randn(10).cumsum(), index=np.arange(0, 100, 10))\n", - "s.plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = DataFrame(np.random.randn(10, 4).cumsum(0),\n", - " columns=['A', 'B', 'C', 'D'],\n", - " index=np.arange(0, 100, 10))\n", - "df.plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Bar plots" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig, axes = plt.subplots(2, 1)\n", - "data = Series(np.random.rand(16), index=list('abcdefghijklmnop'))\n", - "data.plot(kind='bar', ax=axes[0], color='k', alpha=0.7)\n", - "data.plot(kind='barh', ax=axes[1], color='k', alpha=0.7)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = DataFrame(np.random.rand(6, 4),\n", - " index=['one', 'two', 'three', 'four', 'five', 'six'],\n", - " columns=pd.Index(['A', 'B', 'C', 'D'], name='Genus'))\n", - "df\n", - "df.plot(kind='bar')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.figure()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.plot(kind='barh', stacked=True, alpha=0.5)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tips = pd.read_csv('ch08/tips.csv')\n", - "party_counts = pd.crosstab(tips.day, tips.size)\n", - "party_counts\n", - "# Not many 1- and 6-person parties\n", - "party_counts = party_counts.ix[:, 2:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Normalize to sum to 1\n", - "party_pcts = party_counts.div(party_counts.sum(1).astype(float), axis=0)\n", - "party_pcts\n", - "\n", - "party_pcts.plot(kind='bar', stacked=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Histograms and density plots" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.figure()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tips['tip_pct'] = tips['tip'] / tips['total_bill']\n", - "tips['tip_pct'].hist(bins=50)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.figure()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tips['tip_pct'].plot(kind='kde')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.figure()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "comp1 = np.random.normal(0, 1, size=200) # N(0, 1)\n", - "comp2 = np.random.normal(10, 2, size=200) # N(10, 4)\n", - "values = Series(np.concatenate([comp1, comp2]))\n", - "values.hist(bins=100, alpha=0.3, color='k', normed=True)\n", - "values.plot(kind='kde', style='k--')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Scatter plots" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "macro = pd.read_csv('ch08/macrodata.csv')\n", - "data = macro[['cpi', 'm1', 'tbilrate', 'unemp']]\n", - "trans_data = np.log(data).diff().dropna()\n", - "trans_data[-5:]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.figure()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.scatter(trans_data['m1'], trans_data['unemp'])\n", - "plt.title('Changes in log %s vs. log %s' % ('m1', 'unemp'))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.scatter_matrix(trans_data, diagonal='kde', color='k', alpha=0.3)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Plotting Maps: Visualizing Haiti Earthquake Crisis data" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = pd.read_csv('ch08/Haiti.csv')\n", - "data.info()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data[['INCIDENT DATE', 'LATITUDE', 'LONGITUDE']][:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data['CATEGORY'][:6]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.describe()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = data[(data.LATITUDE > 18) & (data.LATITUDE < 20) &\n", - " (data.LONGITUDE > -75) & (data.LONGITUDE < -70)\n", - " & data.CATEGORY.notnull()]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def to_cat_list(catstr):\n", - " stripped = (x.strip() for x in catstr.split(','))\n", - " return [x for x in stripped if x]\n", - "\n", - "def get_all_categories(cat_series):\n", - " cat_sets = (set(to_cat_list(x)) for x in cat_series)\n", - " return sorted(set.union(*cat_sets))\n", - "\n", - "def get_english(cat):\n", - " code, names = cat.split('.')\n", - " if '|' in names:\n", - " names = names.split(' | ')[1]\n", - " return code, names.strip()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "get_english('2. Urgences logistiques | Vital Lines')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "all_cats = get_all_categories(data.CATEGORY)\n", - "# Generator expression\n", - "english_mapping = dict(get_english(x) for x in all_cats)\n", - "english_mapping['2a']\n", - "english_mapping['6c']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def get_code(seq):\n", - " return [x.split('.')[0] for x in seq if x]\n", - "\n", - "all_codes = get_code(all_cats)\n", - "code_index = pd.Index(np.unique(all_codes))\n", - "dummy_frame = DataFrame(np.zeros((len(data), len(code_index))),\n", - " index=data.index, columns=code_index)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dummy_frame.ix[:, :6].info()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "for row, cat in zip(data.index, data.CATEGORY):\n", - " codes = get_code(to_cat_list(cat))\n", - " dummy_frame.ix[row, codes] = 1\n", - "\n", - "data = data.join(dummy_frame.add_prefix('category_'))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.ix[:, 10:15].info()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from mpl_toolkits.basemap import Basemap\n", - "import matplotlib.pyplot as plt\n", - "\n", - "def basic_haiti_map(ax=None, lllat=17.25, urlat=20.25,\n", - " lllon=-75, urlon=-71):\n", - " # create polar stereographic Basemap instance.\n", - " m = Basemap(ax=ax, projection='stere',\n", - " lon_0=(urlon + lllon) / 2,\n", - " lat_0=(urlat + lllat) / 2,\n", - " llcrnrlat=lllat, urcrnrlat=urlat,\n", - " llcrnrlon=lllon, urcrnrlon=urlon,\n", - " resolution='f')\n", - " # draw coastlines, state and country boundaries, edge of map.\n", - " m.drawcoastlines()\n", - " m.drawstates()\n", - " m.drawcountries()\n", - " return m" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(12, 10))\n", - "fig.subplots_adjust(hspace=0.05, wspace=0.05)\n", - "\n", - "to_plot = ['2a', '1', '3c', '7a']\n", - "\n", - "lllat=17.25; urlat=20.25; lllon=-75; urlon=-71\n", - "\n", - "for code, ax in zip(to_plot, axes.flat):\n", - " m = basic_haiti_map(ax, lllat=lllat, urlat=urlat,\n", - " lllon=lllon, urlon=urlon)\n", - "\n", - " cat_data = data[data['category_%s' % code] == 1]\n", - "\n", - " # compute map proj coordinates.\n", - " x, y = m(cat_data.LONGITUDE.values, cat_data.LATITUDE.values)\n", - "\n", - " m.plot(x, y, 'k.', alpha=0.5)\n", - " ax.set_title('%s: %s' % (code, english_mapping[code]))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(12, 10))\n", - "fig.subplots_adjust(hspace=0.05, wspace=0.05)\n", - "\n", - "to_plot = ['2a', '1', '3c', '7a']\n", - "\n", - "lllat=17.25; urlat=20.25; lllon=-75; urlon=-71\n", - "\n", - "def make_plot():\n", - "\n", - " for i, code in enumerate(to_plot):\n", - " cat_data = data[data['category_%s' % code] == 1]\n", - " lons, lats = cat_data.LONGITUDE, cat_data.LATITUDE\n", - "\n", - " ax = axes.flat[i]\n", - " m = basic_haiti_map(ax, lllat=lllat, urlat=urlat,\n", - " lllon=lllon, urlon=urlon)\n", - "\n", - " # compute map proj coordinates.\n", - " x, y = m(lons.values, lats.values)\n", - "\n", - " m.plot(x, y, 'k.', alpha=0.5)\n", - " ax.set_title('%s: %s' % (code, english_mapping[code]))\n", - " " - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "make_plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "shapefile_path = 'ch08/PortAuPrince_Roads/PortAuPrince_Roads'\n", - "m.readshapefile(shapefile_path, 'roads')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" } - ] + }, + "nbformat": 4, + "nbformat_minor": 4 } \ No newline at end of file diff --git a/ch08/macrodata.csv b/ch08/macrodata.csv deleted file mode 100644 index 2496f7ca2..000000000 --- a/ch08/macrodata.csv +++ /dev/null @@ -1,204 +0,0 @@ -year,quarter,realgdp,realcons,realinv,realgovt,realdpi,cpi,m1,tbilrate,unemp,pop,infl,realint -1959.0,1.0,2710.349,1707.4,286.898,470.045,1886.9,28.98,139.7,2.82,5.8,177.146,0.0,0.0 -1959.0,2.0,2778.801,1733.7,310.859,481.301,1919.7,29.15,141.7,3.08,5.1,177.83,2.34,0.74 -1959.0,3.0,2775.488,1751.8,289.226,491.26,1916.4,29.35,140.5,3.82,5.3,178.657,2.74,1.09 -1959.0,4.0,2785.204,1753.7,299.356,484.052,1931.3,29.37,140.0,4.33,5.6,179.386,0.27,4.06 -1960.0,1.0,2847.699,1770.5,331.722,462.199,1955.5,29.54,139.6,3.5,5.2,180.007,2.31,1.19 -1960.0,2.0,2834.39,1792.9,298.152,460.4,1966.1,29.55,140.2,2.68,5.2,180.671,0.14,2.55 -1960.0,3.0,2839.022,1785.8,296.375,474.676,1967.8,29.75,140.9,2.36,5.6,181.528,2.7,-0.34 -1960.0,4.0,2802.616,1788.2,259.764,476.434,1966.6,29.84,141.1,2.29,6.3,182.287,1.21,1.08 -1961.0,1.0,2819.264,1787.7,266.405,475.854,1984.5,29.81,142.1,2.37,6.8,182.992,-0.4,2.77 -1961.0,2.0,2872.005,1814.3,286.246,480.328,2014.4,29.92,142.9,2.29,7.0,183.691,1.47,0.81 -1961.0,3.0,2918.419,1823.1,310.227,493.828,2041.9,29.98,144.1,2.32,6.8,184.524,0.8,1.52 -1961.0,4.0,2977.83,1859.6,315.463,502.521,2082.0,30.04,145.2,2.6,6.2,185.242,0.8,1.8 -1962.0,1.0,3031.241,1879.4,334.271,520.96,2101.7,30.21,146.4,2.73,5.6,185.874,2.26,0.47 -1962.0,2.0,3064.709,1902.5,331.039,523.066,2125.2,30.22,146.5,2.78,5.5,186.538,0.13,2.65 -1962.0,3.0,3093.047,1917.9,336.962,538.838,2137.0,30.38,146.7,2.78,5.6,187.323,2.11,0.67 -1962.0,4.0,3100.563,1945.1,325.65,535.912,2154.6,30.44,148.3,2.87,5.5,188.013,0.79,2.08 -1963.0,1.0,3141.087,1958.2,343.721,522.917,2172.5,30.48,149.7,2.9,5.8,188.58,0.53,2.38 -1963.0,2.0,3180.447,1976.9,348.73,518.108,2193.1,30.69,151.3,3.03,5.7,189.242,2.75,0.29 -1963.0,3.0,3240.332,2003.8,360.102,546.893,2217.9,30.75,152.6,3.38,5.5,190.028,0.78,2.6 -1963.0,4.0,3264.967,2020.6,364.534,532.383,2254.6,30.94,153.7,3.52,5.6,190.668,2.46,1.06 -1964.0,1.0,3338.246,2060.5,379.523,529.686,2299.6,30.95,154.8,3.51,5.5,191.245,0.13,3.38 -1964.0,2.0,3376.587,2096.7,377.778,526.175,2362.1,31.02,156.8,3.47,5.2,191.889,0.9,2.57 -1964.0,3.0,3422.469,2135.2,386.754,522.008,2392.7,31.12,159.2,3.53,5.0,192.631,1.29,2.25 -1964.0,4.0,3431.957,2141.2,389.91,514.603,2420.4,31.28,160.7,3.76,5.0,193.223,2.05,1.71 -1965.0,1.0,3516.251,2188.8,429.145,508.006,2447.4,31.38,162.0,3.93,4.9,193.709,1.28,2.65 -1965.0,2.0,3563.96,2213.0,429.119,508.931,2474.5,31.58,163.1,3.84,4.7,194.303,2.54,1.3 -1965.0,3.0,3636.285,2251.0,444.444,529.446,2542.6,31.65,166.0,3.93,4.4,194.997,0.89,3.04 -1965.0,4.0,3724.014,2314.3,446.493,544.121,2594.1,31.88,169.1,4.35,4.1,195.539,2.9,1.46 -1966.0,1.0,3815.423,2348.5,484.244,556.593,2618.4,32.28,171.8,4.62,3.9,195.999,4.99,-0.37 -1966.0,2.0,3828.124,2354.5,475.408,571.371,2624.7,32.45,170.3,4.65,3.8,196.56,2.1,2.55 -1966.0,3.0,3853.301,2381.5,470.697,594.514,2657.8,32.85,171.2,5.23,3.8,197.207,4.9,0.33 -1966.0,4.0,3884.52,2391.4,472.957,599.528,2688.2,32.9,171.9,5.0,3.7,197.736,0.61,4.39 -1967.0,1.0,3918.74,2405.3,460.007,640.682,2728.4,33.1,174.2,4.22,3.8,198.206,2.42,1.8 -1967.0,2.0,3919.556,2438.1,440.393,631.43,2750.8,33.4,178.1,3.78,3.8,198.712,3.61,0.17 -1967.0,3.0,3950.826,2450.6,453.033,641.504,2777.1,33.7,181.6,4.42,3.8,199.311,3.58,0.84 -1967.0,4.0,3980.97,2465.7,462.834,640.234,2797.4,34.1,184.3,4.9,3.9,199.808,4.72,0.18 -1968.0,1.0,4063.013,2524.6,472.907,651.378,2846.2,34.4,186.6,5.18,3.7,200.208,3.5,1.67 -1968.0,2.0,4131.998,2563.3,492.026,646.145,2893.5,34.9,190.5,5.5,3.5,200.706,5.77,-0.28 -1968.0,3.0,4160.267,2611.5,476.053,640.615,2899.3,35.3,194.0,5.21,3.5,201.29,4.56,0.65 -1968.0,4.0,4178.293,2623.5,480.998,636.729,2918.4,35.7,198.7,5.85,3.4,201.76,4.51,1.34 -1969.0,1.0,4244.1,2652.9,512.686,633.224,2923.4,36.3,200.7,6.08,3.4,202.161,6.67,-0.58 -1969.0,2.0,4256.46,2669.8,508.601,623.16,2952.9,36.8,201.7,6.49,3.4,202.677,5.47,1.02 -1969.0,3.0,4283.378,2682.7,520.36,623.613,3012.9,37.3,202.9,7.02,3.6,203.302,5.4,1.63 -1969.0,4.0,4263.261,2704.1,492.334,606.9,3034.9,37.9,206.2,7.64,3.6,203.849,6.38,1.26 -1970.0,1.0,4256.573,2720.7,476.925,594.888,3050.1,38.5,206.7,6.76,4.2,204.401,6.28,0.47 -1970.0,2.0,4264.289,2733.2,478.419,576.257,3103.5,38.9,208.0,6.66,4.8,205.052,4.13,2.52 -1970.0,3.0,4302.259,2757.1,486.594,567.743,3145.4,39.4,212.9,6.15,5.2,205.788,5.11,1.04 -1970.0,4.0,4256.637,2749.6,458.406,564.666,3135.1,39.9,215.5,4.86,5.8,206.466,5.04,-0.18 -1971.0,1.0,4374.016,2802.2,517.935,542.709,3197.3,40.1,220.0,3.65,5.9,207.065,2.0,1.65 -1971.0,2.0,4398.829,2827.9,533.986,534.905,3245.3,40.6,224.9,4.76,5.9,207.661,4.96,-0.19 -1971.0,3.0,4433.943,2850.4,541.01,532.646,3259.7,40.9,227.2,4.7,6.0,208.345,2.94,1.75 -1971.0,4.0,4446.264,2897.8,524.085,516.14,3294.2,41.2,230.1,3.87,6.0,208.917,2.92,0.95 -1972.0,1.0,4525.769,2936.5,561.147,518.192,3314.9,41.5,235.6,3.55,5.8,209.386,2.9,0.64 -1972.0,2.0,4633.101,2992.6,595.495,526.473,3346.1,41.8,238.8,3.86,5.7,209.896,2.88,0.98 -1972.0,3.0,4677.503,3038.8,603.97,498.116,3414.6,42.2,245.0,4.47,5.6,210.479,3.81,0.66 -1972.0,4.0,4754.546,3110.1,607.104,496.54,3550.5,42.7,251.5,5.09,5.3,210.985,4.71,0.38 -1973.0,1.0,4876.166,3167.0,645.654,504.838,3590.7,43.7,252.7,5.98,5.0,211.42,9.26,-3.28 -1973.0,2.0,4932.571,3165.4,675.837,497.033,3626.2,44.2,257.5,7.19,4.9,211.909,4.55,2.64 -1973.0,3.0,4906.252,3176.7,649.412,475.897,3644.4,45.6,259.0,8.06,4.8,212.475,12.47,-4.41 -1973.0,4.0,4953.05,3167.4,674.253,476.174,3688.9,46.8,263.8,7.68,4.8,212.932,10.39,-2.71 -1974.0,1.0,4909.617,3139.7,631.23,491.043,3632.3,48.1,267.2,7.8,5.1,213.361,10.96,-3.16 -1974.0,2.0,4922.188,3150.6,628.102,490.177,3601.1,49.3,269.3,7.89,5.2,213.854,9.86,-1.96 -1974.0,3.0,4873.52,3163.6,592.672,492.586,3612.4,51.0,272.3,8.16,5.6,214.451,13.56,-5.4 -1974.0,4.0,4854.34,3117.3,598.306,496.176,3596.0,52.3,273.9,6.96,6.6,214.931,10.07,-3.11 -1975.0,1.0,4795.295,3143.4,493.212,490.603,3581.9,53.0,276.2,5.53,8.2,215.353,5.32,0.22 -1975.0,2.0,4831.942,3195.8,476.085,486.679,3749.3,54.0,283.7,5.57,8.9,215.973,7.48,-1.91 -1975.0,3.0,4913.328,3241.4,516.402,498.836,3698.6,54.9,285.4,6.27,8.5,216.587,6.61,-0.34 -1975.0,4.0,4977.511,3275.7,530.596,500.141,3736.0,55.8,288.4,5.26,8.3,217.095,6.5,-1.24 -1976.0,1.0,5090.663,3341.2,585.541,495.568,3791.0,56.1,294.7,4.91,7.7,217.528,2.14,2.77 -1976.0,2.0,5128.947,3371.8,610.513,494.532,3822.2,57.0,297.2,5.28,7.6,218.035,6.37,-1.09 -1976.0,3.0,5154.072,3407.5,611.646,493.141,3856.7,57.9,302.0,5.05,7.7,218.644,6.27,-1.22 -1976.0,4.0,5191.499,3451.8,615.898,494.415,3884.4,58.7,308.3,4.57,7.8,219.179,5.49,-0.92 -1977.0,1.0,5251.762,3491.3,646.198,498.509,3887.5,60.0,316.0,4.6,7.5,219.684,8.76,-4.16 -1977.0,2.0,5356.131,3510.6,696.141,506.695,3931.8,60.8,320.2,5.06,7.1,220.239,5.3,-0.24 -1977.0,3.0,5451.921,3544.1,734.078,509.605,3990.8,61.6,326.4,5.82,6.9,220.904,5.23,0.59 -1977.0,4.0,5450.793,3597.5,713.356,504.584,4071.2,62.7,334.4,6.2,6.6,221.477,7.08,-0.88 -1978.0,1.0,5469.405,3618.5,727.504,506.314,4096.4,63.9,339.9,6.34,6.3,221.991,7.58,-1.24 -1978.0,2.0,5684.569,3695.9,777.454,518.366,4143.4,65.5,347.6,6.72,6.0,222.585,9.89,-3.18 -1978.0,3.0,5740.3,3711.4,801.452,520.199,4177.1,67.1,353.3,7.64,6.0,223.271,9.65,-2.01 -1978.0,4.0,5816.222,3741.3,819.689,524.782,4209.8,68.5,358.6,9.02,5.9,223.865,8.26,0.76 -1979.0,1.0,5825.949,3760.2,819.556,525.524,4255.9,70.6,368.0,9.42,5.9,224.438,12.08,-2.66 -1979.0,2.0,5831.418,3758.0,817.66,532.04,4226.1,73.0,377.2,9.3,5.7,225.055,13.37,-4.07 -1979.0,3.0,5873.335,3794.9,801.742,531.232,4250.3,75.2,380.8,10.49,5.9,225.801,11.88,-1.38 -1979.0,4.0,5889.495,3805.0,786.817,531.126,4284.3,78.0,385.8,11.94,5.9,226.451,14.62,-2.68 -1980.0,1.0,5908.467,3798.4,781.114,548.115,4296.2,80.9,383.8,13.75,6.3,227.061,14.6,-0.85 -1980.0,2.0,5787.373,3712.2,710.64,561.895,4236.1,82.6,394.0,7.9,7.3,227.726,8.32,-0.42 -1980.0,3.0,5776.617,3752.0,656.477,554.292,4279.7,84.7,409.0,10.34,7.7,228.417,10.04,0.3 -1980.0,4.0,5883.46,3802.0,723.22,556.13,4368.1,87.2,411.3,14.75,7.4,228.937,11.64,3.11 -1981.0,1.0,6005.717,3822.8,795.091,567.618,4358.1,89.1,427.4,13.95,7.4,229.403,8.62,5.32 -1981.0,2.0,5957.795,3822.8,757.24,584.54,4358.6,91.5,426.9,15.33,7.4,229.966,10.63,4.69 -1981.0,3.0,6030.184,3838.3,804.242,583.89,4455.4,93.4,428.4,14.58,7.4,230.641,8.22,6.36 -1981.0,4.0,5955.062,3809.3,773.053,590.125,4464.4,94.4,442.7,11.33,8.2,231.157,4.26,7.07 -1982.0,1.0,5857.333,3833.9,692.514,591.043,4469.6,95.0,447.1,12.95,8.8,231.645,2.53,10.42 -1982.0,2.0,5889.074,3847.7,691.9,596.403,4500.8,97.5,448.0,11.97,9.4,232.188,10.39,1.58 -1982.0,3.0,5866.37,3877.2,683.825,605.37,4520.6,98.1,464.5,8.1,9.9,232.816,2.45,5.65 -1982.0,4.0,5871.001,3947.9,622.93,623.307,4536.4,97.9,477.2,7.96,10.7,233.322,-0.82,8.77 -1983.0,1.0,5944.02,3986.6,645.11,630.873,4572.2,98.8,493.2,8.22,10.4,233.781,3.66,4.56 -1983.0,2.0,6077.619,4065.7,707.372,644.322,4605.5,99.8,507.8,8.69,10.1,234.307,4.03,4.66 -1983.0,3.0,6197.468,4137.6,754.937,662.412,4674.7,100.8,517.2,8.99,9.4,234.907,3.99,5.01 -1983.0,4.0,6325.574,4203.2,834.427,639.197,4771.1,102.1,525.1,8.89,8.5,235.385,5.13,3.76 -1984.0,1.0,6448.264,4239.2,921.763,644.635,4875.4,103.3,535.0,9.43,7.9,235.839,4.67,4.76 -1984.0,2.0,6559.594,4299.9,952.841,664.839,4959.4,104.1,540.9,9.94,7.5,236.348,3.09,6.85 -1984.0,3.0,6623.343,4333.0,974.989,662.294,5036.6,105.1,543.7,10.19,7.4,236.976,3.82,6.37 -1984.0,4.0,6677.264,4390.1,958.993,684.282,5084.5,105.7,557.0,8.14,7.3,237.468,2.28,5.87 -1985.0,1.0,6740.275,4464.6,927.375,691.613,5072.0,107.0,570.4,8.25,7.3,237.9,4.89,3.36 -1985.0,2.0,6797.344,4505.2,943.383,708.524,5172.7,107.7,589.1,7.17,7.3,238.466,2.61,4.56 -1985.0,3.0,6903.523,4590.8,932.959,732.305,5140.7,108.5,607.8,7.13,7.2,239.113,2.96,4.17 -1985.0,4.0,6955.918,4600.9,969.434,732.026,5193.9,109.9,621.4,7.14,7.0,239.638,5.13,2.01 -1986.0,1.0,7022.757,4639.3,967.442,728.125,5255.8,108.7,641.0,6.56,7.0,240.094,-4.39,10.95 -1986.0,2.0,7050.969,4688.7,945.972,751.334,5315.5,109.5,670.3,6.06,7.2,240.651,2.93,3.13 -1986.0,3.0,7118.95,4770.7,916.315,779.77,5343.3,110.2,694.9,5.31,7.0,241.274,2.55,2.76 -1986.0,4.0,7153.359,4799.4,917.736,767.671,5346.5,111.4,730.2,5.44,6.8,241.784,4.33,1.1 -1987.0,1.0,7193.019,4792.1,945.776,772.247,5379.4,112.7,743.9,5.61,6.6,242.252,4.64,0.97 -1987.0,2.0,7269.51,4856.3,947.1,782.962,5321.0,113.8,743.0,5.67,6.3,242.804,3.89,1.79 -1987.0,3.0,7332.558,4910.4,948.055,783.804,5416.2,115.0,756.2,6.19,6.0,243.446,4.2,1.99 -1987.0,4.0,7458.022,4922.2,1021.98,795.467,5493.1,116.0,756.2,5.76,5.9,243.981,3.46,2.29 -1988.0,1.0,7496.6,5004.4,964.398,773.851,5562.1,117.2,768.1,5.76,5.7,244.445,4.12,1.64 -1988.0,2.0,7592.881,5040.8,987.858,765.98,5614.3,118.5,781.4,6.48,5.5,245.021,4.41,2.07 -1988.0,3.0,7632.082,5080.6,994.204,760.245,5657.5,119.9,783.3,7.22,5.5,245.693,4.7,2.52 -1988.0,4.0,7733.991,5140.4,1007.371,783.065,5708.5,121.2,785.7,8.03,5.3,246.224,4.31,3.72 -1989.0,1.0,7806.603,5159.3,1045.975,767.024,5773.4,123.1,779.2,8.67,5.2,246.721,6.22,2.44 -1989.0,2.0,7865.016,5182.4,1033.753,784.275,5749.8,124.5,777.8,8.15,5.2,247.342,4.52,3.63 -1989.0,3.0,7927.393,5236.1,1021.604,791.819,5787.0,125.4,786.6,7.76,5.3,248.067,2.88,4.88 -1989.0,4.0,7944.697,5261.7,1011.119,787.844,5831.3,127.5,795.4,7.65,5.4,248.659,6.64,1.01 -1990.0,1.0,8027.693,5303.3,1021.07,799.681,5875.1,128.9,806.2,7.8,5.3,249.306,4.37,3.44 -1990.0,2.0,8059.598,5320.8,1021.36,800.639,5913.9,130.5,810.1,7.7,5.3,250.132,4.93,2.76 -1990.0,3.0,8059.476,5341.0,997.319,793.513,5918.1,133.4,819.8,7.33,5.7,251.057,8.79,-1.46 -1990.0,4.0,7988.864,5299.5,934.248,800.525,5878.2,134.7,827.2,6.67,6.1,251.889,3.88,2.79 -1991.0,1.0,7950.164,5284.4,896.21,806.775,5896.3,135.1,843.2,5.83,6.6,252.643,1.19,4.65 -1991.0,2.0,8003.822,5324.7,891.704,809.081,5941.1,136.2,861.5,5.54,6.8,253.493,3.24,2.29 -1991.0,3.0,8037.538,5345.0,913.904,793.987,5953.6,137.2,878.0,5.18,6.9,254.435,2.93,2.25 -1991.0,4.0,8069.046,5342.6,948.891,778.378,5992.4,138.3,910.4,4.14,7.1,255.214,3.19,0.95 -1992.0,1.0,8157.616,5434.5,927.796,778.568,6082.9,139.4,943.8,3.88,7.4,255.992,3.17,0.71 -1992.0,2.0,8244.294,5466.7,988.912,777.762,6129.5,140.5,963.2,3.5,7.6,256.894,3.14,0.36 -1992.0,3.0,8329.361,5527.1,999.135,786.639,6160.6,141.7,1003.8,2.97,7.6,257.861,3.4,-0.44 -1992.0,4.0,8417.016,5594.6,1030.758,787.064,6248.2,142.8,1030.4,3.12,7.4,258.679,3.09,0.02 -1993.0,1.0,8432.485,5617.2,1054.979,762.901,6156.5,143.8,1047.6,2.92,7.2,259.414,2.79,0.13 -1993.0,2.0,8486.435,5671.1,1063.263,752.158,6252.3,144.5,1084.5,3.02,7.1,260.255,1.94,1.08 -1993.0,3.0,8531.108,5732.7,1062.514,744.227,6265.7,145.6,1113.0,3.0,6.8,261.163,3.03,-0.04 -1993.0,4.0,8643.769,5783.7,1118.583,748.102,6358.1,146.3,1131.6,3.05,6.6,261.919,1.92,1.13 -1994.0,1.0,8727.919,5848.1,1166.845,721.288,6332.6,147.2,1141.1,3.48,6.6,262.631,2.45,1.02 -1994.0,2.0,8847.303,5891.5,1234.855,717.197,6440.6,148.4,1150.5,4.2,6.2,263.436,3.25,0.96 -1994.0,3.0,8904.289,5938.7,1212.655,736.89,6487.9,149.4,1150.1,4.68,6.0,264.301,2.69,2.0 -1994.0,4.0,9003.18,5997.3,1269.19,716.702,6574.0,150.5,1151.4,5.53,5.6,265.044,2.93,2.6 -1995.0,1.0,9025.267,6004.3,1282.09,715.326,6616.6,151.8,1149.3,5.72,5.5,265.755,3.44,2.28 -1995.0,2.0,9044.668,6053.5,1247.61,712.492,6617.2,152.6,1145.4,5.52,5.7,266.557,2.1,3.42 -1995.0,3.0,9120.684,6107.6,1235.601,707.649,6666.8,153.5,1137.3,5.32,5.7,267.456,2.35,2.97 -1995.0,4.0,9184.275,6150.6,1270.392,681.081,6706.2,154.7,1123.5,5.17,5.6,268.151,3.11,2.05 -1996.0,1.0,9247.188,6206.9,1287.128,695.265,6777.7,156.1,1124.8,4.91,5.5,268.853,3.6,1.31 -1996.0,2.0,9407.052,6277.1,1353.795,705.172,6850.6,157.0,1112.4,5.09,5.5,269.667,2.3,2.79 -1996.0,3.0,9488.879,6314.6,1422.059,692.741,6908.9,158.2,1086.1,5.04,5.3,270.581,3.05,2.0 -1996.0,4.0,9592.458,6366.1,1418.193,690.744,6946.8,159.4,1081.5,4.99,5.3,271.36,3.02,1.97 -1997.0,1.0,9666.235,6430.2,1451.304,681.445,7008.9,159.9,1063.8,5.1,5.2,272.083,1.25,3.85 -1997.0,2.0,9809.551,6456.2,1543.976,693.525,7061.5,160.4,1066.2,5.01,5.0,272.912,1.25,3.76 -1997.0,3.0,9932.672,6566.0,1571.426,691.261,7142.4,161.5,1065.5,5.02,4.9,273.852,2.73,2.29 -1997.0,4.0,10008.874,6641.1,1596.523,690.311,7241.5,162.0,1074.4,5.11,4.7,274.626,1.24,3.88 -1998.0,1.0,10103.425,6707.2,1672.732,668.783,7406.2,162.2,1076.1,5.02,4.6,275.304,0.49,4.53 -1998.0,2.0,10194.277,6822.6,1652.716,687.184,7512.0,163.2,1075.0,4.98,4.4,276.115,2.46,2.52 -1998.0,3.0,10328.787,6913.1,1700.071,681.472,7591.0,163.9,1086.0,4.49,4.5,277.003,1.71,2.78 -1998.0,4.0,10507.575,7019.1,1754.743,688.147,7646.5,164.7,1097.8,4.38,4.4,277.79,1.95,2.43 -1999.0,1.0,10601.179,7088.3,1809.993,683.601,7698.4,165.9,1101.9,4.39,4.3,278.451,2.9,1.49 -1999.0,2.0,10684.049,7199.9,1803.674,683.594,7716.0,166.7,1098.7,4.54,4.3,279.295,1.92,2.62 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-2002.0,1.0,11477.868,7957.3,1789.327,756.915,8611.6,179.3,1185.9,1.75,5.7,287.328,3.59,-1.84 -2002.0,2.0,11538.77,7997.8,1810.779,774.408,8658.9,180.0,1199.5,1.7,5.8,288.028,1.56,0.14 -2002.0,3.0,11596.43,8052.0,1814.531,786.673,8629.2,181.2,1204.0,1.61,5.7,288.783,2.66,-1.05 -2002.0,4.0,11598.824,8080.6,1813.219,799.967,8649.6,182.6,1226.8,1.2,5.8,289.421,3.08,-1.88 -2003.0,1.0,11645.819,8122.3,1813.141,800.196,8681.3,183.2,1248.4,1.14,5.9,290.019,1.31,-0.17 -2003.0,2.0,11738.706,8197.8,1823.698,838.775,8812.5,183.7,1287.9,0.96,6.2,290.704,1.09,-0.13 -2003.0,3.0,11935.461,8312.1,1889.883,839.598,8935.4,184.9,1297.3,0.94,6.1,291.449,2.6,-1.67 -2003.0,4.0,12042.817,8358.0,1959.783,845.722,8986.4,186.3,1306.1,0.9,5.8,292.057,3.02,-2.11 -2004.0,1.0,12127.623,8437.6,1970.015,856.57,9025.9,187.4,1332.1,0.94,5.7,292.635,2.35,-1.42 -2004.0,2.0,12213.818,8483.2,2055.58,861.44,9115.0,189.1,1340.5,1.21,5.6,293.31,3.61,-2.41 -2004.0,3.0,12303.533,8555.8,2082.231,876.385,9175.9,190.8,1361.0,1.63,5.4,294.066,3.58,-1.95 -2004.0,4.0,12410.282,8654.2,2125.152,865.596,9303.4,191.8,1366.6,2.2,5.4,294.741,2.09,0.11 -2005.0,1.0,12534.113,8719.0,2170.299,869.204,9189.6,193.8,1357.8,2.69,5.3,295.308,4.15,-1.46 -2005.0,2.0,12587.535,8802.9,2131.468,870.044,9253.0,194.7,1366.6,3.01,5.1,295.994,1.85,1.16 -2005.0,3.0,12683.153,8865.6,2154.949,890.394,9308.0,199.2,1375.0,3.52,5.0,296.77,9.14,-5.62 -2005.0,4.0,12748.699,8888.5,2232.193,875.557,9358.7,199.4,1380.6,4.0,4.9,297.435,0.4,3.6 -2006.0,1.0,12915.938,8986.6,2264.721,900.511,9533.8,200.7,1380.5,4.51,4.7,298.061,2.6,1.91 -2006.0,2.0,12962.462,9035.0,2261.247,892.839,9617.3,202.7,1369.2,4.82,4.7,298.766,3.97,0.85 -2006.0,3.0,12965.916,9090.7,2229.636,892.002,9662.5,201.9,1369.4,4.9,4.7,299.593,-1.58,6.48 -2006.0,4.0,13060.679,9181.6,2165.966,894.404,9788.8,203.574,1373.6,4.92,4.4,300.32,3.3,1.62 -2007.0,1.0,13099.901,9265.1,2132.609,882.766,9830.2,205.92,1379.7,4.95,4.5,300.977,4.58,0.36 -2007.0,2.0,13203.977,9291.5,2162.214,898.713,9842.7,207.338,1370.0,4.72,4.5,301.714,2.75,1.97 -2007.0,3.0,13321.109,9335.6,2166.491,918.983,9883.9,209.133,1379.2,4.0,4.7,302.509,3.45,0.55 -2007.0,4.0,13391.249,9363.6,2123.426,925.11,9886.2,212.495,1377.4,3.01,4.8,303.204,6.38,-3.37 -2008.0,1.0,13366.865,9349.6,2082.886,943.372,9826.8,213.997,1384.0,1.56,4.9,303.803,2.82,-1.26 -2008.0,2.0,13415.266,9351.0,2026.518,961.28,10059.0,218.61,1409.3,1.74,5.4,304.483,8.53,-6.79 -2008.0,3.0,13324.6,9267.7,1990.693,991.551,9838.3,216.889,1474.7,1.17,6.0,305.27,-3.16,4.33 -2008.0,4.0,13141.92,9195.3,1857.661,1007.273,9920.4,212.174,1576.5,0.12,6.9,305.952,-8.79,8.91 -2009.0,1.0,12925.41,9209.2,1558.494,996.287,9926.4,212.671,1592.8,0.22,8.1,306.547,0.94,-0.71 -2009.0,2.0,12901.504,9189.0,1456.678,1023.528,10077.5,214.469,1653.6,0.18,9.2,307.226,3.37,-3.19 -2009.0,3.0,12990.341,9256.0,1486.398,1044.088,10040.6,216.385,1673.9,0.12,9.6,308.013,3.56,-3.44 diff --git a/ch08/tips.csv b/ch08/tips.csv deleted file mode 100644 index 856a65a69..000000000 --- a/ch08/tips.csv +++ /dev/null @@ -1,245 +0,0 @@ -total_bill,tip,sex,smoker,day,time,size -16.99,1.01,Female,No,Sun,Dinner,2 -10.34,1.66,Male,No,Sun,Dinner,3 -21.01,3.5,Male,No,Sun,Dinner,3 -23.68,3.31,Male,No,Sun,Dinner,2 -24.59,3.61,Female,No,Sun,Dinner,4 -25.29,4.71,Male,No,Sun,Dinner,4 -8.77,2.0,Male,No,Sun,Dinner,2 -26.88,3.12,Male,No,Sun,Dinner,4 -15.04,1.96,Male,No,Sun,Dinner,2 -14.78,3.23,Male,No,Sun,Dinner,2 -10.27,1.71,Male,No,Sun,Dinner,2 -35.26,5.0,Female,No,Sun,Dinner,4 -15.42,1.57,Male,No,Sun,Dinner,2 -18.43,3.0,Male,No,Sun,Dinner,4 -14.83,3.02,Female,No,Sun,Dinner,2 -21.58,3.92,Male,No,Sun,Dinner,2 -10.33,1.67,Female,No,Sun,Dinner,3 -16.29,3.71,Male,No,Sun,Dinner,3 -16.97,3.5,Female,No,Sun,Dinner,3 -20.65,3.35,Male,No,Sat,Dinner,3 -17.92,4.08,Male,No,Sat,Dinner,2 -20.29,2.75,Female,No,Sat,Dinner,2 -15.77,2.23,Female,No,Sat,Dinner,2 -39.42,7.58,Male,No,Sat,Dinner,4 -19.82,3.18,Male,No,Sat,Dinner,2 -17.81,2.34,Male,No,Sat,Dinner,4 -13.37,2.0,Male,No,Sat,Dinner,2 -12.69,2.0,Male,No,Sat,Dinner,2 -21.7,4.3,Male,No,Sat,Dinner,2 -19.65,3.0,Female,No,Sat,Dinner,2 -9.55,1.45,Male,No,Sat,Dinner,2 -18.35,2.5,Male,No,Sat,Dinner,4 -15.06,3.0,Female,No,Sat,Dinner,2 -20.69,2.45,Female,No,Sat,Dinner,4 -17.78,3.27,Male,No,Sat,Dinner,2 -24.06,3.6,Male,No,Sat,Dinner,3 -16.31,2.0,Male,No,Sat,Dinner,3 -16.93,3.07,Female,No,Sat,Dinner,3 -18.69,2.31,Male,No,Sat,Dinner,3 -31.27,5.0,Male,No,Sat,Dinner,3 -16.04,2.24,Male,No,Sat,Dinner,3 -17.46,2.54,Male,No,Sun,Dinner,2 -13.94,3.06,Male,No,Sun,Dinner,2 -9.68,1.32,Male,No,Sun,Dinner,2 -30.4,5.6,Male,No,Sun,Dinner,4 -18.29,3.0,Male,No,Sun,Dinner,2 -22.23,5.0,Male,No,Sun,Dinner,2 -32.4,6.0,Male,No,Sun,Dinner,4 -28.55,2.05,Male,No,Sun,Dinner,3 -18.04,3.0,Male,No,Sun,Dinner,2 -12.54,2.5,Male,No,Sun,Dinner,2 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-16.0,2.0,Male,Yes,Thur,Lunch,2 -13.16,2.75,Female,No,Thur,Lunch,2 -17.47,3.5,Female,No,Thur,Lunch,2 -34.3,6.7,Male,No,Thur,Lunch,6 -41.19,5.0,Male,No,Thur,Lunch,5 -27.05,5.0,Female,No,Thur,Lunch,6 -16.43,2.3,Female,No,Thur,Lunch,2 -8.35,1.5,Female,No,Thur,Lunch,2 -18.64,1.36,Female,No,Thur,Lunch,3 -11.87,1.63,Female,No,Thur,Lunch,2 -9.78,1.73,Male,No,Thur,Lunch,2 -7.51,2.0,Male,No,Thur,Lunch,2 -14.07,2.5,Male,No,Sun,Dinner,2 -13.13,2.0,Male,No,Sun,Dinner,2 -17.26,2.74,Male,No,Sun,Dinner,3 -24.55,2.0,Male,No,Sun,Dinner,4 -19.77,2.0,Male,No,Sun,Dinner,4 -29.85,5.14,Female,No,Sun,Dinner,5 -48.17,5.0,Male,No,Sun,Dinner,6 -25.0,3.75,Female,No,Sun,Dinner,4 -13.39,2.61,Female,No,Sun,Dinner,2 -16.49,2.0,Male,No,Sun,Dinner,4 -21.5,3.5,Male,No,Sun,Dinner,4 -12.66,2.5,Male,No,Sun,Dinner,2 -16.21,2.0,Female,No,Sun,Dinner,3 -13.81,2.0,Male,No,Sun,Dinner,2 -17.51,3.0,Female,Yes,Sun,Dinner,2 -24.52,3.48,Male,No,Sun,Dinner,3 -20.76,2.24,Male,No,Sun,Dinner,2 -31.71,4.5,Male,No,Sun,Dinner,4 -10.59,1.61,Female,Yes,Sat,Dinner,2 -10.63,2.0,Female,Yes,Sat,Dinner,2 -50.81,10.0,Male,Yes,Sat,Dinner,3 -15.81,3.16,Male,Yes,Sat,Dinner,2 -7.25,5.15,Male,Yes,Sun,Dinner,2 -31.85,3.18,Male,Yes,Sun,Dinner,2 -16.82,4.0,Male,Yes,Sun,Dinner,2 -32.9,3.11,Male,Yes,Sun,Dinner,2 -17.89,2.0,Male,Yes,Sun,Dinner,2 -14.48,2.0,Male,Yes,Sun,Dinner,2 -9.6,4.0,Female,Yes,Sun,Dinner,2 -34.63,3.55,Male,Yes,Sun,Dinner,2 -34.65,3.68,Male,Yes,Sun,Dinner,4 -23.33,5.65,Male,Yes,Sun,Dinner,2 -45.35,3.5,Male,Yes,Sun,Dinner,3 -23.17,6.5,Male,Yes,Sun,Dinner,4 -40.55,3.0,Male,Yes,Sun,Dinner,2 -20.69,5.0,Male,No,Sun,Dinner,5 -20.9,3.5,Female,Yes,Sun,Dinner,3 -30.46,2.0,Male,Yes,Sun,Dinner,5 -18.15,3.5,Female,Yes,Sun,Dinner,3 -23.1,4.0,Male,Yes,Sun,Dinner,3 -15.69,1.5,Male,Yes,Sun,Dinner,2 -19.81,4.19,Female,Yes,Thur,Lunch,2 -28.44,2.56,Male,Yes,Thur,Lunch,2 -15.48,2.02,Male,Yes,Thur,Lunch,2 -16.58,4.0,Male,Yes,Thur,Lunch,2 -7.56,1.44,Male,No,Thur,Lunch,2 -10.34,2.0,Male,Yes,Thur,Lunch,2 -43.11,5.0,Female,Yes,Thur,Lunch,4 -13.0,2.0,Female,Yes,Thur,Lunch,2 -13.51,2.0,Male,Yes,Thur,Lunch,2 -18.71,4.0,Male,Yes,Thur,Lunch,3 -12.74,2.01,Female,Yes,Thur,Lunch,2 -13.0,2.0,Female,Yes,Thur,Lunch,2 -16.4,2.5,Female,Yes,Thur,Lunch,2 -20.53,4.0,Male,Yes,Thur,Lunch,4 -16.47,3.23,Female,Yes,Thur,Lunch,3 -26.59,3.41,Male,Yes,Sat,Dinner,3 -38.73,3.0,Male,Yes,Sat,Dinner,4 -24.27,2.03,Male,Yes,Sat,Dinner,2 -12.76,2.23,Female,Yes,Sat,Dinner,2 -30.06,2.0,Male,Yes,Sat,Dinner,3 -25.89,5.16,Male,Yes,Sat,Dinner,4 -48.33,9.0,Male,No,Sat,Dinner,4 -13.27,2.5,Female,Yes,Sat,Dinner,2 -28.17,6.5,Female,Yes,Sat,Dinner,3 -12.9,1.1,Female,Yes,Sat,Dinner,2 -28.15,3.0,Male,Yes,Sat,Dinner,5 -11.59,1.5,Male,Yes,Sat,Dinner,2 -7.74,1.44,Male,Yes,Sat,Dinner,2 -30.14,3.09,Female,Yes,Sat,Dinner,4 -12.16,2.2,Male,Yes,Fri,Lunch,2 -13.42,3.48,Female,Yes,Fri,Lunch,2 -8.58,1.92,Male,Yes,Fri,Lunch,1 -15.98,3.0,Female,No,Fri,Lunch,3 -13.42,1.58,Male,Yes,Fri,Lunch,2 -16.27,2.5,Female,Yes,Fri,Lunch,2 -10.09,2.0,Female,Yes,Fri,Lunch,2 -20.45,3.0,Male,No,Sat,Dinner,4 -13.28,2.72,Male,No,Sat,Dinner,2 -22.12,2.88,Female,Yes,Sat,Dinner,2 -24.01,2.0,Male,Yes,Sat,Dinner,4 -15.69,3.0,Male,Yes,Sat,Dinner,3 -11.61,3.39,Male,No,Sat,Dinner,2 -10.77,1.47,Male,No,Sat,Dinner,2 -15.53,3.0,Male,Yes,Sat,Dinner,2 -10.07,1.25,Male,No,Sat,Dinner,2 -12.6,1.0,Male,Yes,Sat,Dinner,2 -32.83,1.17,Male,Yes,Sat,Dinner,2 -35.83,4.67,Female,No,Sat,Dinner,3 -29.03,5.92,Male,No,Sat,Dinner,3 -27.18,2.0,Female,Yes,Sat,Dinner,2 -22.67,2.0,Male,Yes,Sat,Dinner,2 -17.82,1.75,Male,No,Sat,Dinner,2 -18.78,3.0,Female,No,Thur,Dinner,2 diff --git a/ch09.ipynb b/ch09.ipynb index a17490851..af5ac6e1e 100644 --- a/ch09.ipynb +++ b/ch09.ipynb @@ -1,1584 +1,634 @@ { - "metadata": { - "name": "", - "signature": "sha256:884d45c0ec888c81923e3e89bc579b89c2b34c7a37578b0a064bb5dcfd9ffa29" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "PREVIOUS_MAX_ROWS = pd.options.display.max_rows\n", + "pd.options.display.max_rows = 20\n", + "pd.options.display.max_colwidth = 80\n", + "pd.options.display.max_columns = 20\n", + "np.random.seed(12345)\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib\n", + "plt.rc(\"figure\", figsize=(10, 6))\n", + "np.set_printoptions(precision=4, suppress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "data = np.arange(10)\n", + "data\n", + "plt.plot(data)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "fig = plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "ax1 = fig.add_subplot(2, 2, 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "ax2 = fig.add_subplot(2, 2, 2)\n", + "ax3 = fig.add_subplot(2, 2, 3)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "ax3.plot(np.random.standard_normal(50).cumsum(), color=\"black\",\n", + " linestyle=\"dashed\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "ax1.hist(np.random.standard_normal(100), bins=20, color=\"black\", alpha=0.3);\n", + "ax2.scatter(np.arange(30), np.arange(30) + 3 * np.random.standard_normal(30));" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "plt.close(\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "fig, axes = plt.subplots(2, 3)\n", + "axes" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "fig, axes = plt.subplots(2, 2, sharex=True, sharey=True)\n", + "for i in range(2):\n", + " for j in range(2):\n", + " axes[i, j].hist(np.random.standard_normal(500), bins=50,\n", + " color=\"black\", alpha=0.5)\n", + "fig.subplots_adjust(wspace=0, hspace=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "fig = plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "ax = fig.add_subplot()\n", + "ax.plot(np.random.standard_normal(30).cumsum(), color=\"black\",\n", + " linestyle=\"dashed\", marker=\"o\");" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "plt.close(\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "fig = plt.figure()\n", + "ax = fig.add_subplot()\n", + "data = np.random.standard_normal(30).cumsum()\n", + "ax.plot(data, color=\"black\", linestyle=\"dashed\", label=\"Default\");\n", + "ax.plot(data, color=\"black\", linestyle=\"dashed\",\n", + " drawstyle=\"steps-post\", label=\"steps-post\");\n", + "ax.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots()\n", + "ax.plot(np.random.standard_normal(1000).cumsum());" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "ticks = ax.set_xticks([0, 250, 500, 750, 1000])\n", + "labels = ax.set_xticklabels([\"one\", \"two\", \"three\", \"four\", \"five\"],\n", + " rotation=30, fontsize=8)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "ax.set_xlabel(\"Stages\")\n", + "ax.set_title(\"My first matplotlib plot\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots()\n", + "ax.plot(np.random.randn(1000).cumsum(), color=\"black\", label=\"one\");\n", + "ax.plot(np.random.randn(1000).cumsum(), color=\"black\", linestyle=\"dashed\",\n", + " label=\"two\");\n", + "ax.plot(np.random.randn(1000).cumsum(), color=\"black\", linestyle=\"dotted\",\n", + " label=\"three\");" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "ax.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "from datetime import datetime\n", + "\n", + "fig, ax = plt.subplots()\n", + "\n", + "data = pd.read_csv(\"examples/spx.csv\", index_col=0, parse_dates=True)\n", + "spx = data[\"SPX\"]\n", + "\n", + "spx.plot(ax=ax, color=\"black\")\n", + "\n", + "crisis_data = [\n", + " (datetime(2007, 10, 11), \"Peak of bull market\"),\n", + " (datetime(2008, 3, 12), \"Bear Stearns Fails\"),\n", + " (datetime(2008, 9, 15), \"Lehman Bankruptcy\")\n", + "]\n", + "\n", + "for date, label in crisis_data:\n", + " ax.annotate(label, xy=(date, spx.asof(date) + 75),\n", + " xytext=(date, spx.asof(date) + 225),\n", + " arrowprops=dict(facecolor=\"black\", headwidth=4, width=2,\n", + " headlength=4),\n", + " horizontalalignment=\"left\", verticalalignment=\"top\")\n", + "\n", + "# Zoom in on 2007-2010\n", + "ax.set_xlim([\"1/1/2007\", \"1/1/2011\"])\n", + "ax.set_ylim([600, 1800])\n", + "\n", + "ax.set_title(\"Important dates in the 2008\u20132009 financial crisis\")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "ax.set_title(\"Important dates in the 2008\u20132009 financial crisis\")" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(figsize=(12, 6))\n", + "rect = plt.Rectangle((0.2, 0.75), 0.4, 0.15, color=\"black\", alpha=0.3)\n", + "circ = plt.Circle((0.7, 0.2), 0.15, color=\"blue\", alpha=0.3)\n", + "pgon = plt.Polygon([[0.15, 0.15], [0.35, 0.4], [0.2, 0.6]],\n", + " color=\"green\", alpha=0.5)\n", + "ax.add_patch(rect)\n", + "ax.add_patch(circ)\n", + "ax.add_patch(pgon)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "plt.close(\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "s = pd.Series(np.random.standard_normal(10).cumsum(), index=np.arange(0, 100, 10))\n", + "s.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(np.random.standard_normal((10, 4)).cumsum(0),\n", + " columns=[\"A\", \"B\", \"C\", \"D\"],\n", + " index=np.arange(0, 100, 10))\n", + "plt.style.use('grayscale')\n", + "df.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "fig, axes = plt.subplots(2, 1)\n", + "data = pd.Series(np.random.uniform(size=16), index=list(\"abcdefghijklmnop\"))\n", + "data.plot.bar(ax=axes[0], color=\"black\", alpha=0.7)\n", + "data.plot.barh(ax=axes[1], color=\"black\", alpha=0.7)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "np.random.seed(12348)" + ] + }, { - "cells": [ - { - "cell_type": "heading", - "level": 1, - "metadata": {}, - "source": [ - "Data Aggregation and Group Operations" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from __future__ import division\n", - "from numpy.random import randn\n", - "import numpy as np\n", - "import os\n", - "import matplotlib.pyplot as plt\n", - "np.random.seed(12345)\n", - "plt.rc('figure', figsize=(10, 6))\n", - "from pandas import Series, DataFrame\n", - "import pandas as pd\n", - "np.set_printoptions(precision=4)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%cd ../book_scripts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.options.display.notebook_repr_html = False" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%matplotlib inline" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "GroupBy mechanics" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = DataFrame({'key1' : ['a', 'a', 'b', 'b', 'a'],\n", - " 'key2' : ['one', 'two', 'one', 'two', 'one'],\n", - " 'data1' : np.random.randn(5),\n", - " 'data2' : np.random.randn(5)})\n", - "df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped = df['data1'].groupby(df['key1'])\n", - "grouped" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped.mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "means = df['data1'].groupby([df['key1'], df['key2']]).mean()\n", - "means" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "means.unstack()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "states = np.array(['Ohio', 'California', 'California', 'Ohio', 'Ohio'])\n", - "years = np.array([2005, 2005, 2006, 2005, 2006])\n", - "df['data1'].groupby([states, years]).mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.groupby('key1').mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.groupby(['key1', 'key2']).mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.groupby(['key1', 'key2']).size()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Iterating over groups" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "for name, group in df.groupby('key1'):\n", - " print(name)\n", - " print(group)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "for (k1, k2), group in df.groupby(['key1', 'key2']):\n", - " print((k1, k2))\n", - " print(group)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pieces = dict(list(df.groupby('key1')))\n", - "pieces['b']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.dtypes" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped = df.groupby(df.dtypes, axis=1)\n", - "dict(list(grouped))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Selecting a column or subset of columns" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "df.groupby('key1')['data1']\n", - "df.groupby('key1')[['data2']]" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "df['data1'].groupby(df['key1'])\n", - "df[['data2']].groupby(df['key1'])" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df.groupby(['key1', 'key2'])[['data2']].mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "s_grouped = df.groupby(['key1', 'key2'])['data2']\n", - "s_grouped" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "s_grouped.mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Grouping with dicts and Series" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "people = DataFrame(np.random.randn(5, 5),\n", - " columns=['a', 'b', 'c', 'd', 'e'],\n", - " index=['Joe', 'Steve', 'Wes', 'Jim', 'Travis'])\n", - "people.ix[2:3, ['b', 'c']] = np.nan # Add a few NA values\n", - "people" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "mapping = {'a': 'red', 'b': 'red', 'c': 'blue',\n", - " 'd': 'blue', 'e': 'red', 'f' : 'orange'}" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "by_column = people.groupby(mapping, axis=1)\n", - "by_column.sum()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "map_series = Series(mapping)\n", - "map_series" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "people.groupby(map_series, axis=1).count()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Grouping with functions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "people.groupby(len).sum()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "key_list = ['one', 'one', 'one', 'two', 'two']\n", - "people.groupby([len, key_list]).min()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Grouping by index levels" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "columns = pd.MultiIndex.from_arrays([['US', 'US', 'US', 'JP', 'JP'],\n", - " [1, 3, 5, 1, 3]], names=['cty', 'tenor'])\n", - "hier_df = DataFrame(np.random.randn(4, 5), columns=columns)\n", - "hier_df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "hier_df.groupby(level='cty', axis=1).count()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Data aggregation" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped = df.groupby('key1')\n", - "grouped['data1'].quantile(0.9)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def peak_to_peak(arr):\n", - " return arr.max() - arr.min()\n", - "grouped.agg(peak_to_peak)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped.describe()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tips = pd.read_csv('ch08/tips.csv')\n", - "# Add tip percentage of total bill\n", - "tips['tip_pct'] = tips['tip'] / tips['total_bill']\n", - "tips[:6]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Column-wise and multiple function application" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped = tips.groupby(['sex', 'smoker'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped_pct = grouped['tip_pct']\n", - "grouped_pct.agg('mean')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped_pct.agg(['mean', 'std', peak_to_peak])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped_pct.agg([('foo', 'mean'), ('bar', np.std)])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "functions = ['count', 'mean', 'max']\n", - "result = grouped['tip_pct', 'total_bill'].agg(functions)\n", - "result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result['tip_pct']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ftuples = [('Durchschnitt', 'mean'), ('Abweichung', np.var)]\n", - "grouped['tip_pct', 'total_bill'].agg(ftuples)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped.agg({'tip' : np.max, 'size' : 'sum'})" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped.agg({'tip_pct' : ['min', 'max', 'mean', 'std'],\n", - " 'size' : 'sum'})" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Returning aggregated data in \"unindexed\" form" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tips.groupby(['sex', 'smoker'], as_index=False).mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Group-wise operations and transformations" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "k1_means = df.groupby('key1').mean().add_prefix('mean_')\n", - "k1_means" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.merge(df, k1_means, left_on='key1', right_index=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "key = ['one', 'two', 'one', 'two', 'one']\n", - "people.groupby(key).mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "people.groupby(key).transform(np.mean)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def demean(arr):\n", - " return arr - arr.mean()\n", - "demeaned = people.groupby(key).transform(demean)\n", - "demeaned" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "demeaned.groupby(key).mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Apply: General split-apply-combine" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def top(df, n=5, column='tip_pct'):\n", - " return df.sort_index(by=column)[-n:]\n", - "top(tips, n=6)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tips.groupby('smoker').apply(top)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tips.groupby(['smoker', 'day']).apply(top, n=1, column='total_bill')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = tips.groupby('smoker')['tip_pct'].describe()\n", - "result" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result.unstack('smoker')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "f = lambda x: x.describe()\n", - "grouped.apply(f)" - ] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Suppressing the group keys" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tips.groupby('smoker', group_keys=False).apply(top)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Quantile and bucket analysis" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame = DataFrame({'data1': np.random.randn(1000),\n", - " 'data2': np.random.randn(1000)})\n", - "factor = pd.cut(frame.data1, 4)\n", - "factor[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def get_stats(group):\n", - " return {'min': group.min(), 'max': group.max(),\n", - " 'count': group.count(), 'mean': group.mean()}\n", - "\n", - "grouped = frame.data2.groupby(factor)\n", - "grouped.apply(get_stats).unstack()\n", - "\n", - "#ADAPT the output is not sorted in the book while this is the case now (swap first two lines)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Return quantile numbers\n", - "grouping = pd.qcut(frame.data1, 10, labels=False)\n", - "\n", - "grouped = frame.data2.groupby(grouping)\n", - "grouped.apply(get_stats).unstack()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Example: Filling missing values with group-specific values" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "s = Series(np.random.randn(6))\n", - "s[::2] = np.nan\n", - "s" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "s.fillna(s.mean())" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "states = ['Ohio', 'New York', 'Vermont', 'Florida',\n", - " 'Oregon', 'Nevada', 'California', 'Idaho']\n", - "group_key = ['East'] * 4 + ['West'] * 4\n", - "data = Series(np.random.randn(8), index=states)\n", - "data[['Vermont', 'Nevada', 'Idaho']] = np.nan\n", - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.groupby(group_key).mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fill_mean = lambda g: g.fillna(g.mean())\n", - "data.groupby(group_key).apply(fill_mean)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fill_values = {'East': 0.5, 'West': -1}\n", - "fill_func = lambda g: g.fillna(fill_values[g.name])\n", - "\n", - "data.groupby(group_key).apply(fill_func)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Example: Random sampling and permutation" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Hearts, Spades, Clubs, Diamonds\n", - "suits = ['H', 'S', 'C', 'D']\n", - "card_val = (range(1, 11) + [10] * 3) * 4\n", - "base_names = ['A'] + range(2, 11) + ['J', 'K', 'Q']\n", - "cards = []\n", - "for suit in ['H', 'S', 'C', 'D']:\n", - " cards.extend(str(num) + suit for num in base_names)\n", - "\n", - "deck = Series(card_val, index=cards)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "deck[:13]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def draw(deck, n=5):\n", - " return deck.take(np.random.permutation(len(deck))[:n])\n", - "draw(deck)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "get_suit = lambda card: card[-1] # last letter is suit\n", - "deck.groupby(get_suit).apply(draw, n=2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# alternatively\n", - "deck.groupby(get_suit, group_keys=False).apply(draw, n=2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Example: Group weighted average and correlation" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df = DataFrame({'category': ['a', 'a', 'a', 'a', 'b', 'b', 'b', 'b'],\n", - " 'data': np.random.randn(8),\n", - " 'weights': np.random.rand(8)})\n", - "df" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped = df.groupby('category')\n", - "get_wavg = lambda g: np.average(g['data'], weights=g['weights'])\n", - "grouped.apply(get_wavg)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "close_px = pd.read_csv('ch09/stock_px.csv', parse_dates=True, index_col=0)\n", - "close_px.info()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "close_px[-4:]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rets = close_px.pct_change().dropna()\n", - "spx_corr = lambda x: x.corrwith(x['SPX'])\n", - "by_year = rets.groupby(lambda x: x.year)\n", - "by_year.apply(spx_corr)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Annual correlation of Apple with Microsoft\n", - "by_year.apply(lambda g: g['AAPL'].corr(g['MSFT']))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Example: Group-wise linear regression" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import statsmodels.api as sm\n", - "def regress(data, yvar, xvars):\n", - " Y = data[yvar]\n", - " X = data[xvars]\n", - " X['intercept'] = 1.\n", - " result = sm.OLS(Y, X).fit()\n", - " return result.params" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "by_year.apply(regress, 'AAPL', ['SPX'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Pivot tables and Cross-tabulation" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tips.pivot_table(index=['sex', 'smoker'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tips.pivot_table(['tip_pct', 'size'], index=['sex', 'day'],\n", - " columns='smoker')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tips.pivot_table(['tip_pct', 'size'], index=['sex', 'day'],\n", - " columns='smoker', margins=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tips.pivot_table('tip_pct', index=['sex', 'smoker'], columns='day',\n", - " aggfunc=len, margins=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tips.pivot_table('size', index=['time', 'sex', 'smoker'],\n", - " columns='day', aggfunc='sum', fill_value=0)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Cross-tabulations: crosstab" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from StringIO import StringIO\n", - "data = \"\"\"\\\n", - "Sample Gender Handedness\n", - "1 Female Right-handed\n", - "2 Male Left-handed\n", - "3 Female Right-handed\n", - "4 Male Right-handed\n", - "5 Male Left-handed\n", - "6 Male Right-handed\n", - "7 Female Right-handed\n", - "8 Female Left-handed\n", - "9 Male Right-handed\n", - "10 Female Right-handed\"\"\"\n", - "data = pd.read_table(StringIO(data), sep='\\s+')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.crosstab(data.Gender, data.Handedness, margins=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.crosstab([tips.time, tips.day], tips.smoker, margins=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Example: 2012 Federal Election Commission Database" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fec = pd.read_csv('ch09/P00000001-ALL.csv')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fec.info()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fec.ix[123456]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "unique_cands = fec.cand_nm.unique()\n", - "unique_cands" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "unique_cands[2]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "parties = {'Bachmann, Michelle': 'Republican',\n", - " 'Cain, Herman': 'Republican',\n", - " 'Gingrich, Newt': 'Republican',\n", - " 'Huntsman, Jon': 'Republican',\n", - " 'Johnson, Gary Earl': 'Republican',\n", - " 'McCotter, Thaddeus G': 'Republican',\n", - " 'Obama, Barack': 'Democrat',\n", - " 'Paul, Ron': 'Republican',\n", - " 'Pawlenty, Timothy': 'Republican',\n", - " 'Perry, Rick': 'Republican',\n", - " \"Roemer, Charles E. 'Buddy' III\": 'Republican',\n", - " 'Romney, Mitt': 'Republican',\n", - " 'Santorum, Rick': 'Republican'}" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fec.cand_nm[123456:123461]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fec.cand_nm[123456:123461].map(parties)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Add it as a column\n", - "fec['party'] = fec.cand_nm.map(parties)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fec['party'].value_counts()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "(fec.contb_receipt_amt > 0).value_counts()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fec = fec[fec.contb_receipt_amt > 0]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fec_mrbo = fec[fec.cand_nm.isin(['Obama, Barack', 'Romney, Mitt'])]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Donation statistics by occupation and employer" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fec.contbr_occupation.value_counts()[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "occ_mapping = {\n", - " 'INFORMATION REQUESTED PER BEST EFFORTS' : 'NOT PROVIDED',\n", - " 'INFORMATION REQUESTED' : 'NOT PROVIDED',\n", - " 'INFORMATION REQUESTED (BEST EFFORTS)' : 'NOT PROVIDED',\n", - " 'C.E.O.': 'CEO'\n", - "}\n", - "\n", - "# If no mapping provided, return x\n", - "f = lambda x: occ_mapping.get(x, x)\n", - "fec.contbr_occupation = fec.contbr_occupation.map(f)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "emp_mapping = {\n", - " 'INFORMATION REQUESTED PER BEST EFFORTS' : 'NOT PROVIDED',\n", - " 'INFORMATION REQUESTED' : 'NOT PROVIDED',\n", - " 'SELF' : 'SELF-EMPLOYED',\n", - " 'SELF EMPLOYED' : 'SELF-EMPLOYED',\n", - "}\n", - "\n", - "# If no mapping provided, return x\n", - "f = lambda x: emp_mapping.get(x, x)\n", - "fec.contbr_employer = fec.contbr_employer.map(f)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "by_occupation = fec.pivot_table('contb_receipt_amt',\n", - " index='contbr_occupation',\n", - " columns='party', aggfunc='sum')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "over_2mm = by_occupation[by_occupation.sum(1) > 2000000]\n", - "over_2mm" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "over_2mm.plot(kind='barh')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def get_top_amounts(group, key, n=5):\n", - " totals = group.groupby(key)['contb_receipt_amt'].sum()\n", - "\n", - " # Order totals by key in descending order\n", - " return totals.order(ascending=False)[-n:]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped = fec_mrbo.groupby('cand_nm')\n", - "grouped.apply(get_top_amounts, 'contbr_occupation', n=7)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped.apply(get_top_amounts, 'contbr_employer', n=10)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Bucketing donation amounts" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "bins = np.array([0, 1, 10, 100, 1000, 10000, 100000, 1000000, 10000000])\n", - "labels = pd.cut(fec_mrbo.contb_receipt_amt, bins)\n", - "labels" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped = fec_mrbo.groupby(['cand_nm', labels])\n", - "grouped.size().unstack(0)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "bucket_sums = grouped.contb_receipt_amt.sum().unstack(0)\n", - "bucket_sums" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "normed_sums = bucket_sums.div(bucket_sums.sum(axis=1), axis=0)\n", - "normed_sums" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "normed_sums[:-2].plot(kind='barh', stacked=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Donation statistics by state" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped = fec_mrbo.groupby(['cand_nm', 'contbr_st'])\n", - "totals = grouped.contb_receipt_amt.sum().unstack(0).fillna(0)\n", - "totals = totals[totals.sum(1) > 100000]\n", - "totals[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "percent = totals.div(totals.sum(1), axis=0)\n", - "percent[:10]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(np.random.uniform(size=(6, 4)),\n", + " index=[\"one\", \"two\", \"three\", \"four\", \"five\", \"six\"],\n", + " columns=pd.Index([\"A\", \"B\", \"C\", \"D\"], name=\"Genus\"))\n", + "df\n", + "df.plot.bar()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "df.plot.barh(stacked=True, alpha=0.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "plt.close(\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "tips = pd.read_csv(\"examples/tips.csv\")\n", + "tips.head()\n", + "party_counts = pd.crosstab(tips[\"day\"], tips[\"size\"])\n", + "party_counts = party_counts.reindex(index=[\"Thur\", \"Fri\", \"Sat\", \"Sun\"])\n", + "party_counts" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "party_counts = party_counts.loc[:, 2:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "# Normalize to sum to 1\n", + "party_pcts = party_counts.div(party_counts.sum(axis=\"columns\"),\n", + " axis=\"index\")\n", + "party_pcts\n", + "party_pcts.plot.bar(stacked=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "plt.close(\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "import seaborn as sns\n", + "\n", + "tips[\"tip_pct\"] = tips[\"tip\"] / (tips[\"total_bill\"] - tips[\"tip\"])\n", + "tips.head()\n", + "sns.barplot(x=\"tip_pct\", y=\"day\", data=tips, orient=\"h\")" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "plt.close(\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "sns.barplot(x=\"tip_pct\", y=\"day\", hue=\"time\", data=tips, orient=\"h\")" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "plt.close(\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_style(\"whitegrid\")" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "tips[\"tip_pct\"].plot.hist(bins=50)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "tips[\"tip_pct\"].plot.density()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "comp1 = np.random.standard_normal(200)\n", + "comp2 = 10 + 2 * np.random.standard_normal(200)\n", + "values = pd.Series(np.concatenate([comp1, comp2]))\n", + "\n", + "sns.histplot(values, bins=100, color=\"black\")" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "macro = pd.read_csv(\"examples/macrodata.csv\")\n", + "data = macro[[\"cpi\", \"m1\", \"tbilrate\", \"unemp\"]]\n", + "trans_data = np.log(data).diff().dropna()\n", + "trans_data.tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "ax = sns.regplot(x=\"m1\", y=\"unemp\", data=trans_data)\n", + "ax.set_title(\"Changes in log(m1) versus log(unemp)\")" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "sns.pairplot(trans_data, diag_kind=\"kde\", plot_kws={\"alpha\": 0.2})" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "sns.catplot(x=\"day\", y=\"tip_pct\", hue=\"time\", col=\"smoker\",\n", + " kind=\"bar\", data=tips[tips.tip_pct < 1])" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "sns.catplot(x=\"day\", y=\"tip_pct\", row=\"time\",\n", + " col=\"smoker\",\n", + " kind=\"bar\", data=tips[tips.tip_pct < 1])" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "sns.catplot(x=\"tip_pct\", y=\"day\", kind=\"box\",\n", + " data=tips[tips.tip_pct < 0.5])" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "pd.options.display.max_rows = PREVIOUS_MAX_ROWS" + ] } - ] + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 } \ No newline at end of file diff --git a/ch10.ipynb b/ch10.ipynb index fdda16547..2abaf72fb 100644 --- a/ch10.ipynb +++ b/ch10.ipynb @@ -1,2108 +1,987 @@ { + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "PREVIOUS_MAX_ROWS = pd.options.display.max_rows\n", + "pd.options.display.max_columns = 20\n", + "pd.options.display.max_rows = 20\n", + "pd.options.display.max_colwidth = 80\n", + "np.random.seed(12345)\n", + "import matplotlib.pyplot as plt\n", + "plt.rc(\"figure\", figsize=(10, 6))\n", + "np.set_printoptions(precision=4, suppress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame({\"key1\" : [\"a\", \"a\", None, \"b\", \"b\", \"a\", None],\n", + " \"key2\" : pd.Series([1, 2, 1, 2, 1, None, 1],\n", + " dtype=\"Int64\"),\n", + " \"data1\" : np.random.standard_normal(7),\n", + " \"data2\" : np.random.standard_normal(7)})\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "grouped = df[\"data1\"].groupby(df[\"key1\"])\n", + "grouped" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "grouped.mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "means = df[\"data1\"].groupby([df[\"key1\"], df[\"key2\"]]).mean()\n", + "means" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "means.unstack()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "states = np.array([\"OH\", \"CA\", \"CA\", \"OH\", \"OH\", \"CA\", \"OH\"])\n", + "years = [2005, 2005, 2006, 2005, 2006, 2005, 2006]\n", + "df[\"data1\"].groupby([states, years]).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "df.groupby(\"key1\").mean()\n", + "df.groupby(\"key2\").mean(numeric_only=True)\n", + "df.groupby([\"key1\", \"key2\"]).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "df.groupby([\"key1\", \"key2\"]).size()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "df.groupby(\"key1\", dropna=False).size()\n", + "df.groupby([\"key1\", \"key2\"], dropna=False).size()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "df.groupby(\"key1\").count()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "for name, group in df.groupby(\"key1\"):\n", + " print(name)\n", + " print(group)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "for (k1, k2), group in df.groupby([\"key1\", \"key2\"]):\n", + " print((k1, k2))\n", + " print(group)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "pieces = {name: group for name, group in df.groupby(\"key1\")}\n", + "pieces[\"b\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "grouped = df.groupby({\"key1\": \"key\", \"key2\": \"key\",\n", + " \"data1\": \"data\", \"data2\": \"data\"}, axis=\"columns\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "for group_key, group_values in grouped:\n", + " print(group_key)\n", + " print(group_values)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "df.groupby([\"key1\", \"key2\"])[[\"data2\"]].mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "s_grouped = df.groupby([\"key1\", \"key2\"])[\"data2\"]\n", + "s_grouped\n", + "s_grouped.mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "people = pd.DataFrame(np.random.standard_normal((5, 5)),\n", + " columns=[\"a\", \"b\", \"c\", \"d\", \"e\"],\n", + " index=[\"Joe\", \"Steve\", \"Wanda\", \"Jill\", \"Trey\"])\n", + "people.iloc[2:3, [1, 2]] = np.nan # Add a few NA values\n", + "people" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "mapping = {\"a\": \"red\", \"b\": \"red\", \"c\": \"blue\",\n", + " \"d\": \"blue\", \"e\": \"red\", \"f\" : \"orange\"}" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "by_column = people.groupby(mapping, axis=\"columns\")\n", + "by_column.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "map_series = pd.Series(mapping)\n", + "map_series\n", + "people.groupby(map_series, axis=\"columns\").count()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "people.groupby(len).sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "key_list = [\"one\", \"one\", \"one\", \"two\", \"two\"]\n", + "people.groupby([len, key_list]).min()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "columns = pd.MultiIndex.from_arrays([[\"US\", \"US\", \"US\", \"JP\", \"JP\"],\n", + " [1, 3, 5, 1, 3]],\n", + " names=[\"cty\", \"tenor\"])\n", + "hier_df = pd.DataFrame(np.random.standard_normal((4, 5)), columns=columns)\n", + "hier_df" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "hier_df.groupby(level=\"cty\", axis=\"columns\").count()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "df\n", + "grouped = df.groupby(\"key1\")\n", + "grouped[\"data1\"].nsmallest(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "def peak_to_peak(arr):\n", + " return arr.max() - arr.min()\n", + "grouped.agg(peak_to_peak)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "grouped.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "tips = pd.read_csv(\"examples/tips.csv\")\n", + "tips.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "tips[\"tip_pct\"] = tips[\"tip\"] / tips[\"total_bill\"]\n", + "tips.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "grouped = tips.groupby([\"day\", \"smoker\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "grouped_pct = grouped[\"tip_pct\"]\n", + "grouped_pct.agg(\"mean\")" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "grouped_pct.agg([\"mean\", \"std\", peak_to_peak])" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "grouped_pct.agg([(\"average\", \"mean\"), (\"stdev\", np.std)])" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "functions = [\"count\", \"mean\", \"max\"]\n", + "result = grouped[[\"tip_pct\", \"total_bill\"]].agg(functions)\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "result[\"tip_pct\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "ftuples = [(\"Average\", \"mean\"), (\"Variance\", np.var)]\n", + "grouped[[\"tip_pct\", \"total_bill\"]].agg(ftuples)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "grouped.agg({\"tip\" : np.max, \"size\" : \"sum\"})\n", + "grouped.agg({\"tip_pct\" : [\"min\", \"max\", \"mean\", \"std\"],\n", + " \"size\" : \"sum\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "grouped = tips.groupby([\"day\", \"smoker\"], as_index=False)\n", + "grouped.mean(numeric_only=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "def top(df, n=5, column=\"tip_pct\"):\n", + " return df.sort_values(column, ascending=False)[:n]\n", + "top(tips, n=6)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "tips.groupby(\"smoker\").apply(top)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "tips.groupby([\"smoker\", \"day\"]).apply(top, n=1, column=\"total_bill\")" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "result = tips.groupby(\"smoker\")[\"tip_pct\"].describe()\n", + "result\n", + "result.unstack(\"smoker\")" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "tips.groupby(\"smoker\", group_keys=False).apply(top)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.DataFrame({\"data1\": np.random.standard_normal(1000),\n", + " \"data2\": np.random.standard_normal(1000)})\n", + "frame.head()\n", + "quartiles = pd.cut(frame[\"data1\"], 4)\n", + "quartiles.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "def get_stats(group):\n", + " return pd.DataFrame(\n", + " {\"min\": group.min(), \"max\": group.max(),\n", + " \"count\": group.count(), \"mean\": group.mean()}\n", + " )\n", + "\n", + "grouped = frame.groupby(quartiles)\n", + "grouped.apply(get_stats)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "grouped.agg([\"min\", \"max\", \"count\", \"mean\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "quartiles_samp = pd.qcut(frame[\"data1\"], 4, labels=False)\n", + "quartiles_samp.head()\n", + "grouped = frame.groupby(quartiles_samp)\n", + "grouped.apply(get_stats)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "s = pd.Series(np.random.standard_normal(6))\n", + "s[::2] = np.nan\n", + "s\n", + "s.fillna(s.mean())" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "states = [\"Ohio\", \"New York\", \"Vermont\", \"Florida\",\n", + " \"Oregon\", \"Nevada\", \"California\", \"Idaho\"]\n", + "group_key = [\"East\", \"East\", \"East\", \"East\",\n", + " \"West\", \"West\", \"West\", \"West\"]\n", + "data = pd.Series(np.random.standard_normal(8), index=states)\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "data[[\"Vermont\", \"Nevada\", \"Idaho\"]] = np.nan\n", + "data\n", + "data.groupby(group_key).size()\n", + "data.groupby(group_key).count()\n", + "data.groupby(group_key).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "def fill_mean(group):\n", + " return group.fillna(group.mean())\n", + "\n", + "data.groupby(group_key).apply(fill_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "fill_values = {\"East\": 0.5, \"West\": -1}\n", + "def fill_func(group):\n", + " return group.fillna(fill_values[group.name])\n", + "\n", + "data.groupby(group_key).apply(fill_func)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "suits = [\"H\", \"S\", \"C\", \"D\"] # Hearts, Spades, Clubs, Diamonds\n", + "card_val = (list(range(1, 11)) + [10] * 3) * 4\n", + "base_names = [\"A\"] + list(range(2, 11)) + [\"J\", \"K\", \"Q\"]\n", + "cards = []\n", + "for suit in suits:\n", + " cards.extend(str(num) + suit for num in base_names)\n", + "\n", + "deck = pd.Series(card_val, index=cards)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "deck.head(13)" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "def draw(deck, n=5):\n", + " return deck.sample(n)\n", + "draw(deck)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "def get_suit(card):\n", + " # last letter is suit\n", + " return card[-1]\n", + "\n", + "deck.groupby(get_suit).apply(draw, n=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "deck.groupby(get_suit, group_keys=False).apply(draw, n=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame({\"category\": [\"a\", \"a\", \"a\", \"a\",\n", + " \"b\", \"b\", \"b\", \"b\"],\n", + " \"data\": np.random.standard_normal(8),\n", + " \"weights\": np.random.uniform(size=8)})\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "grouped = df.groupby(\"category\")\n", + "def get_wavg(group):\n", + " return np.average(group[\"data\"], weights=group[\"weights\"])\n", + "\n", + "grouped.apply(get_wavg)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "close_px = pd.read_csv(\"examples/stock_px.csv\", parse_dates=True,\n", + " index_col=0)\n", + "close_px.info()\n", + "close_px.tail(4)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "def spx_corr(group):\n", + " return group.corrwith(group[\"SPX\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "rets = close_px.pct_change().dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "def get_year(x):\n", + " return x.year\n", + "\n", + "by_year = rets.groupby(get_year)\n", + "by_year.apply(spx_corr)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "def corr_aapl_msft(group):\n", + " return group[\"AAPL\"].corr(group[\"MSFT\"])\n", + "by_year.apply(corr_aapl_msft)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "import statsmodels.api as sm\n", + "def regress(data, yvar=None, xvars=None):\n", + " Y = data[yvar]\n", + " X = data[xvars]\n", + " X[\"intercept\"] = 1.\n", + " result = sm.OLS(Y, X).fit()\n", + " return result.params" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "by_year.apply(regress, yvar=\"AAPL\", xvars=[\"SPX\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame({'key': ['a', 'b', 'c'] * 4,\n", + " 'value': np.arange(12.)})\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "g = df.groupby('key')['value']\n", + "g.mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "def get_mean(group):\n", + " return group.mean()\n", + "g.transform(get_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "g.transform('mean')" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "def times_two(group):\n", + " return group * 2\n", + "g.transform(times_two)" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [], + "source": [ + "def get_ranks(group):\n", + " return group.rank(ascending=False)\n", + "g.transform(get_ranks)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "def normalize(x):\n", + " return (x - x.mean()) / x.std()" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "g.transform(normalize)\n", + "g.apply(normalize)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "g.transform('mean')\n", + "normalized = (df['value'] - g.transform('mean')) / g.transform('std')\n", + "normalized" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "tips.head()\n", + "tips.pivot_table(index=[\"day\", \"smoker\"],\n", + " values=[\"size\", \"tip\", \"tip_pct\", \"total_bill\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [], + "source": [ + "tips.pivot_table(index=[\"time\", \"day\"], columns=\"smoker\",\n", + " values=[\"tip_pct\", \"size\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "tips.pivot_table(index=[\"time\", \"day\"], columns=\"smoker\",\n", + " values=[\"tip_pct\", \"size\"], margins=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "tips.pivot_table(index=[\"time\", \"smoker\"], columns=\"day\",\n", + " values=\"tip_pct\", aggfunc=len, margins=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "tips.pivot_table(index=[\"time\", \"size\", \"smoker\"], columns=\"day\",\n", + " values=\"tip_pct\", fill_value=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [], + "source": [ + "from io import StringIO\n", + "data = \"\"\"Sample Nationality Handedness\n", + "1 USA Right-handed\n", + "2 Japan Left-handed\n", + "3 USA Right-handed\n", + "4 Japan Right-handed\n", + "5 Japan Left-handed\n", + "6 Japan Right-handed\n", + "7 USA Right-handed\n", + "8 USA Left-handed\n", + "9 Japan Right-handed\n", + "10 USA Right-handed\"\"\"\n", + "data = pd.read_table(StringIO(data), sep=\"\\s+\")" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [], + "source": [ + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "pd.crosstab(data[\"Nationality\"], data[\"Handedness\"], margins=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [], + "source": [ + "pd.crosstab([tips[\"time\"], tips[\"day\"]], tips[\"smoker\"], margins=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [], + "source": [ + "pd.options.display.max_rows = PREVIOUS_MAX_ROWS" + ] + } + ], "metadata": { - "name": "", - "signature": "sha256:af14713612af6df3af27b7546e7130b724231374a9fb48b739f50bf0b51b776c" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "heading", - "level": 1, - "metadata": {}, - "source": [ - "Time series" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from __future__ import division\n", - "from pandas import Series, DataFrame\n", - "import pandas as pd\n", - "from numpy.random import randn\n", - "import numpy as np\n", - "pd.options.display.max_rows = 12\n", - "np.set_printoptions(precision=4, suppress=True)\n", - "import matplotlib.pyplot as plt\n", - "plt.rc('figure', figsize=(12, 4))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%cd ../book_scripts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%matplotlib inline" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Date and Time Data Types and Tools" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from datetime import datetime\n", - "now = datetime.now()\n", - "now" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "now.year, now.month, now.day" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "delta = datetime(2011, 1, 7) - datetime(2008, 6, 24, 8, 15)\n", - "delta" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "delta.days" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "delta.seconds" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from datetime import timedelta\n", - "start = datetime(2011, 1, 7)\n", - "start + timedelta(12)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "start - 2 * timedelta(12)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Converting between string and datetime" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "stamp = datetime(2011, 1, 3)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "str(stamp)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "stamp.strftime('%Y-%m-%d')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "value = '2011-01-03'\n", - "datetime.strptime(value, '%Y-%m-%d')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "datestrs = ['7/6/2011', '8/6/2011']\n", - "[datetime.strptime(x, '%m/%d/%Y') for x in datestrs]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from dateutil.parser import parse\n", - "parse('2011-01-03')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "parse('Jan 31, 1997 10:45 PM')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "parse('6/12/2011', dayfirst=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "datestrs" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.to_datetime(datestrs)\n", - "# note: output changed (no '00:00:00' anymore)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "idx = pd.to_datetime(datestrs + [None])\n", - "idx" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "idx[2]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.isnull(idx)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Time Series Basics" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from datetime import datetime\n", - "dates = [datetime(2011, 1, 2), datetime(2011, 1, 5), datetime(2011, 1, 7),\n", - " datetime(2011, 1, 8), datetime(2011, 1, 10), datetime(2011, 1, 12)]\n", - "ts = Series(np.random.randn(6), index=dates)\n", - "ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "type(ts)\n", - "# note: output changed to \"pandas.core.series.Series\"" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.index" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts + ts[::2]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.index.dtype\n", - "# note: output changed from dtype('datetime64[ns]') to dtype(' to Timestamp('2011-01-02 00:00:00')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Indexing, selection, subsetting" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "stamp = ts.index[2]\n", - "ts[stamp]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts['1/10/2011']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts['20110110']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "longer_ts = Series(np.random.randn(1000),\n", - " index=pd.date_range('1/1/2000', periods=1000))\n", - "longer_ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "longer_ts['2001']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "longer_ts['2001-05']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts[datetime(2011, 1, 7):]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts['1/6/2011':'1/11/2011']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.truncate(after='1/9/2011')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dates = pd.date_range('1/1/2000', periods=100, freq='W-WED')\n", - "long_df = DataFrame(np.random.randn(100, 4),\n", - " index=dates,\n", - " columns=['Colorado', 'Texas', 'New York', 'Ohio'])\n", - "long_df.ix['5-2001']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Time series with duplicate indices" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dates = pd.DatetimeIndex(['1/1/2000', '1/2/2000', '1/2/2000', '1/2/2000',\n", - " '1/3/2000'])\n", - "dup_ts = Series(np.arange(5), index=dates)\n", - "dup_ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dup_ts.index.is_unique" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dup_ts['1/3/2000'] # not duplicated" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dup_ts['1/2/2000'] # duplicated" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped = dup_ts.groupby(level=0)\n", - "grouped.mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "grouped.count()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Date ranges, Frequencies, and Shifting" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.resample('D')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Generating date ranges" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "index = pd.date_range('4/1/2012', '6/1/2012')\n", - "index" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.date_range(start='4/1/2012', periods=20)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.date_range(end='6/1/2012', periods=20)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.date_range('1/1/2000', '12/1/2000', freq='BM')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.date_range('5/2/2012 12:56:31', periods=5)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.date_range('5/2/2012 12:56:31', periods=5, normalize=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Frequencies and Date Offsets" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from pandas.tseries.offsets import Hour, Minute\n", - "hour = Hour()\n", - "hour" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "four_hours = Hour(4)\n", - "four_hours" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.date_range('1/1/2000', '1/3/2000 23:59', freq='4h')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "Hour(2) + Minute(30)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.date_range('1/1/2000', periods=10, freq='1h30min')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Week of month dates" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rng = pd.date_range('1/1/2012', '9/1/2012', freq='WOM-3FRI')\n", - "list(rng)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Shifting (leading and lagging) data" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts = Series(np.random.randn(4),\n", - " index=pd.date_range('1/1/2000', periods=4, freq='M'))\n", - "ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.shift(2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.shift(-2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "ts / ts.shift(1) - 1" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.shift(2, freq='M')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.shift(3, freq='D')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.shift(1, freq='3D')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.shift(1, freq='90T')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Shifting dates with offsets" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from pandas.tseries.offsets import Day, MonthEnd\n", - "now = datetime(2011, 11, 17)\n", - "now + 3 * Day()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "now + MonthEnd()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "now + MonthEnd(2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "offset = MonthEnd()\n", - "offset.rollforward(now)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "offset.rollback(now)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts = Series(np.random.randn(20),\n", - " index=pd.date_range('1/15/2000', periods=20, freq='4d'))\n", - "ts.groupby(offset.rollforward).mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.resample('M', how='mean')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Time Zone Handling" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import pytz\n", - "pytz.common_timezones[-5:]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "tz = pytz.timezone('US/Eastern')\n", - "tz" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Localization and Conversion" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rng = pd.date_range('3/9/2012 9:30', periods=6, freq='D')\n", - "ts = Series(np.random.randn(len(rng)), index=rng)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print(ts.index.tz)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.date_range('3/9/2012 9:30', periods=10, freq='D', tz='UTC')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts_utc = ts.tz_localize('UTC')\n", - "ts_utc" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts_utc.index" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts_utc.tz_convert('US/Eastern')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts_eastern = ts.tz_localize('US/Eastern')\n", - "ts_eastern.tz_convert('UTC')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts_eastern.tz_convert('Europe/Berlin')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.index.tz_localize('Asia/Shanghai')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Operations with time zone-aware Timestamp objects" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "stamp = pd.Timestamp('2011-03-12 04:00')\n", - "stamp_utc = stamp.tz_localize('utc')\n", - "stamp_utc.tz_convert('US/Eastern')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "stamp_moscow = pd.Timestamp('2011-03-12 04:00', tz='Europe/Moscow')\n", - "stamp_moscow" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "stamp_utc.value" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "stamp_utc.tz_convert('US/Eastern').value" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# 30 minutes before DST transition\n", - "from pandas.tseries.offsets import Hour\n", - "stamp = pd.Timestamp('2012-03-12 01:30', tz='US/Eastern')\n", - "stamp" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "stamp + Hour()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# 90 minutes before DST transition\n", - "stamp = pd.Timestamp('2012-11-04 00:30', tz='US/Eastern')\n", - "stamp" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "stamp + 2 * Hour()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Operations between different time zones" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rng = pd.date_range('3/7/2012 9:30', periods=10, freq='B')\n", - "ts = Series(np.random.randn(len(rng)), index=rng)\n", - "ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts1 = ts[:7].tz_localize('Europe/London')\n", - "ts2 = ts1[2:].tz_convert('Europe/Moscow')\n", - "result = ts1 + ts2\n", - "result.index" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Periods and Period Arithmetic" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "p = pd.Period(2007, freq='A-DEC')\n", - "p" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "p + 5" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "p - 2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.Period('2014', freq='A-DEC') - p" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rng = pd.period_range('1/1/2000', '6/30/2000', freq='M')\n", - "rng" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "Series(np.random.randn(6), index=rng)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "values = ['2001Q3', '2002Q2', '2003Q1']\n", - "index = pd.PeriodIndex(values, freq='Q-DEC')\n", - "index" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Period Frequency Conversion" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "p = pd.Period('2007', freq='A-DEC')\n", - "p.asfreq('M', how='start')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "p.asfreq('M', how='end')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "p = pd.Period('2007', freq='A-JUN')\n", - "p.asfreq('M', 'start')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "p.asfreq('M', 'end')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "p = pd.Period('Aug-2007', 'M')\n", - "p.asfreq('A-JUN')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rng = pd.period_range('2006', '2009', freq='A-DEC')\n", - "ts = Series(np.random.randn(len(rng)), index=rng)\n", - "ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.asfreq('M', how='start')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.asfreq('B', how='end')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Quarterly period frequencies" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "p = pd.Period('2012Q4', freq='Q-JAN')\n", - "p" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "p.asfreq('D', 'start')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "p.asfreq('D', 'end')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "p4pm = (p.asfreq('B', 'e') - 1).asfreq('T', 's') + 16 * 60\n", - "p4pm" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "p4pm.to_timestamp()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rng = pd.period_range('2011Q3', '2012Q4', freq='Q-JAN')\n", - "ts = Series(np.arange(len(rng)), index=rng)\n", - "ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "new_rng = (rng.asfreq('B', 'e') - 1).asfreq('T', 's') + 16 * 60\n", - "ts.index = new_rng.to_timestamp()\n", - "ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Converting Timestamps to Periods (and back)" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rng = pd.date_range('1/1/2000', periods=3, freq='M')\n", - "ts = Series(randn(3), index=rng)\n", - "pts = ts.to_period()\n", - "ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rng = pd.date_range('1/29/2000', periods=6, freq='D')\n", - "ts2 = Series(randn(6), index=rng)\n", - "ts2.to_period('M')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pts = ts.to_period()\n", - "pts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pts.to_timestamp(how='end')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Creating a PeriodIndex from arrays" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data = pd.read_csv('ch08/macrodata.csv')\n", - "data.year" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.quarter" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "index = pd.PeriodIndex(year=data.year, quarter=data.quarter, freq='Q-DEC')\n", - "index" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data.index = index\n", - "data.infl" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Resampling and Frequency Conversion" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rng = pd.date_range('1/1/2000', periods=100, freq='D')\n", - "ts = Series(randn(len(rng)), index=rng)\n", - "ts.resample('M', how='mean')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.resample('M', how='mean', kind='period')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Downsampling" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rng = pd.date_range('1/1/2000', periods=12, freq='T')\n", - "ts = Series(np.arange(12), index=rng)\n", - "ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.resample('5min', how='sum')\n", - "# note: output changed (as the default changed from closed='right', label='right' to closed='left', label='left'" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.resample('5min', how='sum', closed='left')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.resample('5min', how='sum', closed='left', label='left')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.resample('5min', how='sum', loffset='-1s')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Open-High-Low-Close (OHLC) resampling" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.resample('5min', how='ohlc')\n", - "# note: output changed because of changed defaults" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Resampling with GroupBy" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rng = pd.date_range('1/1/2000', periods=100, freq='D')\n", - "ts = Series(np.arange(100), index=rng)\n", - "ts.groupby(lambda x: x.month).mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.groupby(lambda x: x.weekday).mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Upsampling and interpolation" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame = DataFrame(np.random.randn(2, 4),\n", - " index=pd.date_range('1/1/2000', periods=2, freq='W-WED'),\n", - " columns=['Colorado', 'Texas', 'New York', 'Ohio'])\n", - "frame" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df_daily = frame.resample('D')\n", - "df_daily" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.resample('D', fill_method='ffill')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.resample('D', fill_method='ffill', limit=2)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame.resample('W-THU', fill_method='ffill')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Resampling with periods" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "frame = DataFrame(np.random.randn(24, 4),\n", - " index=pd.period_range('1-2000', '12-2001', freq='M'),\n", - " columns=['Colorado', 'Texas', 'New York', 'Ohio'])\n", - "frame[:5]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "annual_frame = frame.resample('A-DEC', how='mean')\n", - "annual_frame" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Q-DEC: Quarterly, year ending in December\n", - "annual_frame.resample('Q-DEC', fill_method='ffill')\n", - "# note: output changed, default value changed from convention='end' to convention='start' + 'start' changed to span-like\n", - "# also the following cells" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "annual_frame.resample('Q-DEC', fill_method='ffill', convention='start')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "annual_frame.resample('Q-MAR', fill_method='ffill')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Time series plotting" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "close_px_all = pd.read_csv('ch09/stock_px.csv', parse_dates=True, index_col=0)\n", - "close_px = close_px_all[['AAPL', 'MSFT', 'XOM']]\n", - "close_px = close_px.resample('B', fill_method='ffill')\n", - "close_px.info()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "close_px['AAPL'].plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "close_px.ix['2009'].plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "close_px['AAPL'].ix['01-2011':'03-2011'].plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "appl_q = close_px['AAPL'].resample('Q-DEC', fill_method='ffill')\n", - "appl_q.ix['2009':].plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Moving window functions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "close_px = close_px.asfreq('B').fillna(method='ffill')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "close_px.AAPL.plot()\n", - "pd.rolling_mean(close_px.AAPL, 250).plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.figure()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "appl_std250 = pd.rolling_std(close_px.AAPL, 250, min_periods=10)\n", - "appl_std250[5:12]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "appl_std250.plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Define expanding mean in terms of rolling_mean\n", - "expanding_mean = lambda x: rolling_mean(x, len(x), min_periods=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.rolling_mean(close_px, 60).plot(logy=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.close('all')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Exponentially-weighted functions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig, axes = plt.subplots(nrows=2, ncols=1, sharex=True, sharey=True,\n", - " figsize=(12, 7))\n", - "\n", - "aapl_px = close_px.AAPL['2005':'2009']\n", - "\n", - "ma60 = pd.rolling_mean(aapl_px, 60, min_periods=50)\n", - "ewma60 = pd.ewma(aapl_px, span=60)\n", - "\n", - "aapl_px.plot(style='k-', ax=axes[0])\n", - "ma60.plot(style='k--', ax=axes[0])\n", - "aapl_px.plot(style='k-', ax=axes[1])\n", - "ewma60.plot(style='k--', ax=axes[1])\n", - "axes[0].set_title('Simple MA')\n", - "axes[1].set_title('Exponentially-weighted MA')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Binary moving window functions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "close_px\n", - "spx_px = close_px_all['SPX']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "spx_rets = spx_px / spx_px.shift(1) - 1\n", - "returns = close_px.pct_change()\n", - "corr = pd.rolling_corr(returns.AAPL, spx_rets, 125, min_periods=100)\n", - "corr.plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "corr = pd.rolling_corr(returns, spx_rets, 125, min_periods=100)\n", - "corr.plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "User-defined moving window functions" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from scipy.stats import percentileofscore\n", - "score_at_2percent = lambda x: percentileofscore(x, 0.02)\n", - "result = pd.rolling_apply(returns.AAPL, 250, score_at_2percent)\n", - "result.plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Performance and Memory Usage Notes" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rng = pd.date_range('1/1/2000', periods=10000000, freq='10ms')\n", - "ts = Series(np.random.randn(len(rng)), index=rng)\n", - "ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.resample('15min', how='ohlc').info()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%timeit ts.resample('15min', how='ohlc')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rng = pd.date_range('1/1/2000', periods=10000000, freq='1s')\n", - "ts = Series(np.random.randn(len(rng)), index=rng)\n", - "%timeit ts.resample('15s', how='ohlc')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" } - ] + }, + "nbformat": 4, + "nbformat_minor": 4 } \ No newline at end of file diff --git a/ch11.ipynb b/ch11.ipynb index b97b303fd..04d107a51 100644 --- a/ch11.ipynb +++ b/ch11.ipynb @@ -1,1245 +1,1288 @@ { + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "np.random.seed(12345)\n", + "import matplotlib.pyplot as plt\n", + "plt.rc(\"figure\", figsize=(10, 6))\n", + "PREVIOUS_MAX_ROWS = pd.options.display.max_rows\n", + "pd.options.display.max_columns = 20\n", + "pd.options.display.max_rows = 20\n", + "pd.options.display.max_colwidth = 80\n", + "np.set_printoptions(precision=4, suppress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "from datetime import datetime\n", + "now = datetime.now()\n", + "now\n", + "now.year, now.month, now.day" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "delta = datetime(2011, 1, 7) - datetime(2008, 6, 24, 8, 15)\n", + "delta\n", + "delta.days\n", + "delta.seconds" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "from datetime import timedelta\n", + "start = datetime(2011, 1, 7)\n", + "start + timedelta(12)\n", + "start - 2 * timedelta(12)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "stamp = datetime(2011, 1, 3)\n", + "str(stamp)\n", + "stamp.strftime(\"%Y-%m-%d\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "value = \"2011-01-03\"\n", + "datetime.strptime(value, \"%Y-%m-%d\")\n", + "datestrs = [\"7/6/2011\", \"8/6/2011\"]\n", + "[datetime.strptime(x, \"%m/%d/%Y\") for x in datestrs]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "datestrs = [\"2011-07-06 12:00:00\", \"2011-08-06 00:00:00\"]\n", + "pd.to_datetime(datestrs)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "idx = pd.to_datetime(datestrs + [None])\n", + "idx\n", + "idx[2]\n", + "pd.isna(idx)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "dates = [datetime(2011, 1, 2), datetime(2011, 1, 5),\n", + " datetime(2011, 1, 7), datetime(2011, 1, 8),\n", + " datetime(2011, 1, 10), datetime(2011, 1, 12)]\n", + "ts = pd.Series(np.random.standard_normal(6), index=dates)\n", + "ts" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "ts.index" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "ts + ts[::2]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "ts.index.dtype" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "stamp = ts.index[0]\n", + "stamp" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "stamp = ts.index[2]\n", + "ts[stamp]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "ts[\"2011-01-10\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "longer_ts = pd.Series(np.random.standard_normal(1000),\n", + " index=pd.date_range(\"2000-01-01\", periods=1000))\n", + "longer_ts\n", + "longer_ts[\"2001\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "longer_ts[\"2001-05\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "ts[datetime(2011, 1, 7):]\n", + "ts[datetime(2011, 1, 7):datetime(2011, 1, 10)]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "ts\n", + "ts[\"2011-01-06\":\"2011-01-11\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "ts.truncate(after=\"2011-01-09\")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "dates = pd.date_range(\"2000-01-01\", periods=100, freq=\"W-WED\")\n", + "long_df = pd.DataFrame(np.random.standard_normal((100, 4)),\n", + " index=dates,\n", + " columns=[\"Colorado\", \"Texas\",\n", + " \"New York\", \"Ohio\"])\n", + "long_df.loc[\"2001-05\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "dates = pd.DatetimeIndex([\"2000-01-01\", \"2000-01-02\", \"2000-01-02\",\n", + " \"2000-01-02\", \"2000-01-03\"])\n", + "dup_ts = pd.Series(np.arange(5), index=dates)\n", + "dup_ts" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "dup_ts.index.is_unique" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "dup_ts[\"2000-01-03\"] # not duplicated\n", + "dup_ts[\"2000-01-02\"] # duplicated" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "grouped = dup_ts.groupby(level=0)\n", + "grouped.mean()\n", + "grouped.count()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "ts\n", + "resampler = ts.resample(\"D\")\n", + "resampler" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "index = pd.date_range(\"2012-04-01\", \"2012-06-01\")\n", + "index" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "pd.date_range(start=\"2012-04-01\", periods=20)\n", + "pd.date_range(end=\"2012-06-01\", periods=20)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "pd.date_range(\"2000-01-01\", \"2000-12-01\", freq=\"BM\")" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "pd.date_range(\"2012-05-02 12:56:31\", periods=5)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "pd.date_range(\"2012-05-02 12:56:31\", periods=5, normalize=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "from pandas.tseries.offsets import Hour, Minute\n", + "hour = Hour()\n", + "hour" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "four_hours = Hour(4)\n", + "four_hours" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "pd.date_range(\"2000-01-01\", \"2000-01-03 23:59\", freq=\"4H\")" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "Hour(2) + Minute(30)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "pd.date_range(\"2000-01-01\", periods=10, freq=\"1h30min\")" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "monthly_dates = pd.date_range(\"2012-01-01\", \"2012-09-01\", freq=\"WOM-3FRI\")\n", + "list(monthly_dates)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "ts = pd.Series(np.random.standard_normal(4),\n", + " index=pd.date_range(\"2000-01-01\", periods=4, freq=\"M\"))\n", + "ts\n", + "ts.shift(2)\n", + "ts.shift(-2)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "ts.shift(2, freq=\"M\")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "ts.shift(3, freq=\"D\")\n", + "ts.shift(1, freq=\"90T\")" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "from pandas.tseries.offsets import Day, MonthEnd\n", + "now = datetime(2011, 11, 17)\n", + "now + 3 * Day()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "now + MonthEnd()\n", + "now + MonthEnd(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "offset = MonthEnd()\n", + "offset.rollforward(now)\n", + "offset.rollback(now)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "ts = pd.Series(np.random.standard_normal(20),\n", + " index=pd.date_range(\"2000-01-15\", periods=20, freq=\"4D\"))\n", + "ts\n", + "ts.groupby(MonthEnd().rollforward).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "ts.resample(\"M\").mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "import pytz\n", + "pytz.common_timezones[-5:]" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "tz = pytz.timezone(\"America/New_York\")\n", + "tz" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "dates = pd.date_range(\"2012-03-09 09:30\", periods=6)\n", + "ts = pd.Series(np.random.standard_normal(len(dates)), index=dates)\n", + "ts" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "print(ts.index.tz)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "pd.date_range(\"2012-03-09 09:30\", periods=10, tz=\"UTC\")" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "ts\n", + "ts_utc = ts.tz_localize(\"UTC\")\n", + "ts_utc\n", + "ts_utc.index" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "ts_utc.tz_convert(\"America/New_York\")" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "ts_eastern = ts.tz_localize(\"America/New_York\")\n", + "ts_eastern.tz_convert(\"UTC\")\n", + "ts_eastern.tz_convert(\"Europe/Berlin\")" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "ts.index.tz_localize(\"Asia/Shanghai\")" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "stamp = pd.Timestamp(\"2011-03-12 04:00\")\n", + "stamp_utc = stamp.tz_localize(\"utc\")\n", + "stamp_utc.tz_convert(\"America/New_York\")" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "stamp_moscow = pd.Timestamp(\"2011-03-12 04:00\", tz=\"Europe/Moscow\")\n", + "stamp_moscow" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "stamp_utc.value\n", + "stamp_utc.tz_convert(\"America/New_York\").value" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "stamp = pd.Timestamp(\"2012-03-11 01:30\", tz=\"US/Eastern\")\n", + "stamp\n", + "stamp + Hour()" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "stamp = pd.Timestamp(\"2012-11-04 00:30\", tz=\"US/Eastern\")\n", + "stamp\n", + "stamp + 2 * Hour()" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "dates = pd.date_range(\"2012-03-07 09:30\", periods=10, freq=\"B\")\n", + "ts = pd.Series(np.random.standard_normal(len(dates)), index=dates)\n", + "ts\n", + "ts1 = ts[:7].tz_localize(\"Europe/London\")\n", + "ts2 = ts1[2:].tz_convert(\"Europe/Moscow\")\n", + "result = ts1 + ts2\n", + "result.index" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "p = pd.Period(\"2011\", freq=\"A-DEC\")\n", + "p" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "p + 5\n", + "p - 2" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "pd.Period(\"2014\", freq=\"A-DEC\") - p" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "periods = pd.period_range(\"2000-01-01\", \"2000-06-30\", freq=\"M\")\n", + "periods" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "pd.Series(np.random.standard_normal(6), index=periods)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "values = [\"2001Q3\", \"2002Q2\", \"2003Q1\"]\n", + "index = pd.PeriodIndex(values, freq=\"Q-DEC\")\n", + "index" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "p = pd.Period(\"2011\", freq=\"A-DEC\")\n", + "p\n", + "p.asfreq(\"M\", how=\"start\")\n", + "p.asfreq(\"M\", how=\"end\")\n", + "p.asfreq(\"M\")" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "p = pd.Period(\"2011\", freq=\"A-JUN\")\n", + "p\n", + "p.asfreq(\"M\", how=\"start\")\n", + "p.asfreq(\"M\", how=\"end\")" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "p = pd.Period(\"Aug-2011\", \"M\")\n", + "p.asfreq(\"A-JUN\")" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "periods = pd.period_range(\"2006\", \"2009\", freq=\"A-DEC\")\n", + "ts = pd.Series(np.random.standard_normal(len(periods)), index=periods)\n", + "ts\n", + "ts.asfreq(\"M\", how=\"start\")" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "ts.asfreq(\"B\", how=\"end\")" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "p = pd.Period(\"2012Q4\", freq=\"Q-JAN\")\n", + "p" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "p.asfreq(\"D\", how=\"start\")\n", + "p.asfreq(\"D\", how=\"end\")" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [], + "source": [ + "p4pm = (p.asfreq(\"B\", how=\"end\") - 1).asfreq(\"T\", how=\"start\") + 16 * 60\n", + "p4pm\n", + "p4pm.to_timestamp()" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "periods = pd.period_range(\"2011Q3\", \"2012Q4\", freq=\"Q-JAN\")\n", + "ts = pd.Series(np.arange(len(periods)), index=periods)\n", + "ts\n", + "new_periods = (periods.asfreq(\"B\", \"end\") - 1).asfreq(\"H\", \"start\") + 16\n", + "ts.index = new_periods.to_timestamp()\n", + "ts" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "dates = pd.date_range(\"2000-01-01\", periods=3, freq=\"M\")\n", + "ts = pd.Series(np.random.standard_normal(3), index=dates)\n", + "ts\n", + "pts = ts.to_period()\n", + "pts" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "dates = pd.date_range(\"2000-01-29\", periods=6)\n", + "ts2 = pd.Series(np.random.standard_normal(6), index=dates)\n", + "ts2\n", + "ts2.to_period(\"M\")" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "pts = ts2.to_period()\n", + "pts\n", + "pts.to_timestamp(how=\"end\")" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_csv(\"examples/macrodata.csv\")\n", + "data.head(5)\n", + "data[\"year\"]\n", + "data[\"quarter\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "index = pd.PeriodIndex(year=data[\"year\"], quarter=data[\"quarter\"],\n", + " freq=\"Q-DEC\")\n", + "index\n", + "data.index = index\n", + "data[\"infl\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "dates = pd.date_range(\"2000-01-01\", periods=100)\n", + "ts = pd.Series(np.random.standard_normal(len(dates)), index=dates)\n", + "ts\n", + "ts.resample(\"M\").mean()\n", + "ts.resample(\"M\", kind=\"period\").mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "dates = pd.date_range(\"2000-01-01\", periods=12, freq=\"T\")\n", + "ts = pd.Series(np.arange(len(dates)), index=dates)\n", + "ts" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [], + "source": [ + "ts.resample(\"5min\").sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [], + "source": [ + "ts.resample(\"5min\", closed=\"right\").sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "ts.resample(\"5min\", closed=\"right\", label=\"right\").sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [], + "source": [ + "from pandas.tseries.frequencies import to_offset\n", + "result = ts.resample(\"5min\", closed=\"right\", label=\"right\").sum()\n", + "result.index = result.index + to_offset(\"-1s\")\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "ts = pd.Series(np.random.permutation(np.arange(len(dates))), index=dates)\n", + "ts.resample(\"5min\").ohlc()" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.DataFrame(np.random.standard_normal((2, 4)),\n", + " index=pd.date_range(\"2000-01-01\", periods=2,\n", + " freq=\"W-WED\"),\n", + " columns=[\"Colorado\", \"Texas\", \"New York\", \"Ohio\"])\n", + "frame" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [], + "source": [ + "df_daily = frame.resample(\"D\").asfreq()\n", + "df_daily" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [], + "source": [ + "frame.resample(\"D\").ffill()" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [], + "source": [ + "frame.resample(\"D\").ffill(limit=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [], + "source": [ + "frame.resample(\"W-THU\").ffill()" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [], + "source": [ + "frame = pd.DataFrame(np.random.standard_normal((24, 4)),\n", + " index=pd.period_range(\"1-2000\", \"12-2001\",\n", + " freq=\"M\"),\n", + " columns=[\"Colorado\", \"Texas\", \"New York\", \"Ohio\"])\n", + "frame.head()\n", + "annual_frame = frame.resample(\"A-DEC\").mean()\n", + "annual_frame" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [], + "source": [ + "# Q-DEC: Quarterly, year ending in December\n", + "annual_frame.resample(\"Q-DEC\").ffill()\n", + "annual_frame.resample(\"Q-DEC\", convention=\"end\").asfreq()" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [], + "source": [ + "annual_frame.resample(\"Q-MAR\").ffill()" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [], + "source": [ + "N = 15\n", + "times = pd.date_range(\"2017-05-20 00:00\", freq=\"1min\", periods=N)\n", + "df = pd.DataFrame({\"time\": times,\n", + " \"value\": np.arange(N)})\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [], + "source": [ + "df.set_index(\"time\").resample(\"5min\").count()" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [], + "source": [ + "df2 = pd.DataFrame({\"time\": times.repeat(3),\n", + " \"key\": np.tile([\"a\", \"b\", \"c\"], N),\n", + " \"value\": np.arange(N * 3.)})\n", + "df2.head(7)" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [], + "source": [ + "time_key = pd.Grouper(freq=\"5min\")" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [], + "source": [ + "resampled = (df2.set_index(\"time\")\n", + " .groupby([\"key\", time_key])\n", + " .sum())\n", + "resampled\n", + "resampled.reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [], + "source": [ + "close_px_all = pd.read_csv(\"examples/stock_px.csv\",\n", + " parse_dates=True, index_col=0)\n", + "close_px = close_px_all[[\"AAPL\", \"MSFT\", \"XOM\"]]\n", + "close_px = close_px.resample(\"B\").ffill()" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [], + "source": [ + "close_px[\"AAPL\"].plot()\n", + "close_px[\"AAPL\"].rolling(250).mean().plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()\n", + "std250 = close_px[\"AAPL\"].pct_change().rolling(250, min_periods=10).std()\n", + "std250[5:12]\n", + "std250.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [], + "source": [ + "expanding_mean = std250.expanding().mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [], + "source": [ + "plt.style.use('grayscale')\n", + "close_px.rolling(60).mean().plot(logy=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [], + "source": [ + "close_px.rolling(\"20D\").mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [], + "source": [ + "aapl_px = close_px[\"AAPL\"][\"2006\":\"2007\"]\n", + "\n", + "ma30 = aapl_px.rolling(30, min_periods=20).mean()\n", + "ewma30 = aapl_px.ewm(span=30).mean()\n", + "\n", + "aapl_px.plot(style=\"k-\", label=\"Price\")\n", + "ma30.plot(style=\"k--\", label=\"Simple Moving Avg\")\n", + "ewma30.plot(style=\"k-\", label=\"EW MA\")\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [], + "source": [ + "spx_px = close_px_all[\"SPX\"]\n", + "spx_rets = spx_px.pct_change()\n", + "returns = close_px.pct_change()" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [], + "source": [ + "corr = returns[\"AAPL\"].rolling(125, min_periods=100).corr(spx_rets)\n", + "corr.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [], + "source": [ + "corr = returns.rolling(125, min_periods=100).corr(spx_rets)\n", + "corr.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": {}, + "outputs": [], + "source": [ + "from scipy.stats import percentileofscore\n", + "def score_at_2percent(x):\n", + " return percentileofscore(x, 0.02)\n", + "\n", + "result = returns[\"AAPL\"].rolling(250).apply(score_at_2percent)\n", + "result.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": {}, + "outputs": [], + "source": [ + "pd.options.display.max_rows = PREVIOUS_MAX_ROWS" + ] + } + ], "metadata": { - "name": "", - "signature": "sha256:a9eebd34b149c3c030b4256d857ef5171f5a0b76224da80d6620b3050ae86364" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "heading", - "level": 1, - "metadata": {}, - "source": [ - "Financial and Economic Data Applications" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from __future__ import division\n", - "from pandas import Series, DataFrame\n", - "import pandas as pd\n", - "from numpy.random import randn\n", - "import numpy as np\n", - "pd.options.display.max_rows = 12\n", - "np.set_printoptions(precision=4, suppress=True)\n", - "import matplotlib.pyplot as plt\n", - "plt.rc('figure', figsize=(12, 6))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%matplotlib inline" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%pwd" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%cd ../book_scripts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Data munging topics" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Time series and cross-section alignment" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "close_px = pd.read_csv('ch11/stock_px.csv', parse_dates=True, index_col=0)\n", - "volume = pd.read_csv('ch11/volume.csv', parse_dates=True, index_col=0)\n", - "prices = close_px.ix['2011-09-05':'2011-09-14', ['AAPL', 'JNJ', 'SPX', 'XOM']]\n", - "volume = volume.ix['2011-09-05':'2011-09-12', ['AAPL', 'JNJ', 'XOM']]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "prices" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "volume" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "prices * volume" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "vwap = (prices * volume).sum() / volume.sum()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "vwap" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "vwap.dropna()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "prices.align(volume, join='inner')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "s1 = Series(range(3), index=['a', 'b', 'c'])\n", - "s2 = Series(range(4), index=['d', 'b', 'c', 'e'])\n", - "s3 = Series(range(3), index=['f', 'a', 'c'])\n", - "DataFrame({'one': s1, 'two': s2, 'three': s3})" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "DataFrame({'one': s1, 'two': s2, 'three': s3}, index=list('face'))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Operations with time series of different frequencies" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts1 = Series(np.random.randn(3),\n", - " index=pd.date_range('2012-6-13', periods=3, freq='W-WED'))\n", - "ts1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts1.resample('B')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts1.resample('B', fill_method='ffill')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dates = pd.DatetimeIndex(['2012-6-12', '2012-6-17', '2012-6-18',\n", - " '2012-6-21', '2012-6-22', '2012-6-29'])\n", - "ts2 = Series(np.random.randn(6), index=dates)\n", - "ts2" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts1.reindex(ts2.index, method='ffill')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts2 + ts1.reindex(ts2.index, method='ffill')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Using periods instead of timestamps" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "gdp = Series([1.78, 1.94, 2.08, 2.01, 2.15, 2.31, 2.46],\n", - " index=pd.period_range('1984Q2', periods=7, freq='Q-SEP'))\n", - "infl = Series([0.025, 0.045, 0.037, 0.04],\n", - " index=pd.period_range('1982', periods=4, freq='A-DEC'))\n", - "gdp" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "infl" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "infl_q = infl.asfreq('Q-SEP', how='end')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "infl_q" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "infl_q.reindex(gdp.index, method='ffill')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Time of day and \"as of\" data selection" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Make an intraday date range and time series\n", - "rng = pd.date_range('2012-06-01 09:30', '2012-06-01 15:59', freq='T')\n", - "# Make a 5-day series of 9:30-15:59 values\n", - "rng = rng.append([rng + pd.offsets.BDay(i) for i in range(1, 4)])\n", - "ts = Series(np.arange(len(rng), dtype=float), index=rng)\n", - "ts" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from datetime import time\n", - "ts[time(10, 0)]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.at_time(time(10, 0))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ts.between_time(time(10, 0), time(10, 1))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.random.seed(12346)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Set most of the time series randomly to NA\n", - "indexer = np.sort(np.random.permutation(len(ts))[700:])\n", - "irr_ts = ts.copy()\n", - "irr_ts[indexer] = np.nan\n", - "irr_ts['2012-06-01 09:50':'2012-06-01 10:00']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "selection = pd.date_range('2012-06-01 10:00', periods=4, freq='B')\n", - "irr_ts.asof(selection)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Splicing together data sources" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data1 = DataFrame(np.ones((6, 3), dtype=float),\n", - " columns=['a', 'b', 'c'],\n", - " index=pd.date_range('6/12/2012', periods=6))\n", - "data2 = DataFrame(np.ones((6, 3), dtype=float) * 2,\n", - " columns=['a', 'b', 'c'],\n", - " index=pd.date_range('6/13/2012', periods=6))\n", - "spliced = pd.concat([data1.ix[:'2012-06-14'], data2.ix['2012-06-15':]])\n", - "spliced" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "data2 = DataFrame(np.ones((6, 4), dtype=float) * 2,\n", - " columns=['a', 'b', 'c', 'd'],\n", - " index=pd.date_range('6/13/2012', periods=6))\n", - "spliced = pd.concat([data1.ix[:'2012-06-14'], data2.ix['2012-06-15':]])\n", - "spliced" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "spliced_filled = spliced.combine_first(data2)\n", - "spliced_filled" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "spliced.update(data2, overwrite=False)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "spliced" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "cp_spliced = spliced.copy()\n", - "cp_spliced[['a', 'c']] = data1[['a', 'c']]\n", - "cp_spliced" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Return indexes and cumulative returns" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import pandas.io.data as web\n", - "price = web.get_data_yahoo('AAPL', '2011-01-01')['Adj Close']\n", - "price[-5:]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "price['2011-10-03'] / price['2011-3-01'] - 1" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "returns = price.pct_change()\n", - "ret_index = (1 + returns).cumprod()\n", - "ret_index[0] = 1 # Set first value to 1\n", - "ret_index" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "m_returns = ret_index.resample('BM', how='last').pct_change()\n", - "m_returns['2012']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "m_rets = (1 + returns).resample('M', how='prod', kind='period') - 1\n", - "m_rets['2012']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "returns[dividend_dates] += dividend_pcts" - ] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Group transforms and analysis" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.options.display.max_rows = 100\n", - "pd.options.display.max_columns = 10\n", - "np.random.seed(12345)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import random; random.seed(0)\n", - "import string\n", - "\n", - "N = 1000\n", - "def rands(n):\n", - " choices = string.ascii_uppercase\n", - " return ''.join([random.choice(choices) for _ in xrange(n)])\n", - "tickers = np.array([rands(5) for _ in xrange(N)])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "M = 500\n", - "df = DataFrame({'Momentum' : np.random.randn(M) / 200 + 0.03,\n", - " 'Value' : np.random.randn(M) / 200 + 0.08,\n", - " 'ShortInterest' : np.random.randn(M) / 200 - 0.02},\n", - " index=tickers[:M])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ind_names = np.array(['FINANCIAL', 'TECH'])\n", - "sampler = np.random.randint(0, len(ind_names), N)\n", - "industries = Series(ind_names[sampler], index=tickers,\n", - " name='industry')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "by_industry = df.groupby(industries)\n", - "by_industry.mean()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "by_industry.describe()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Within-Industry Standardize\n", - "def zscore(group):\n", - " return (group - group.mean()) / group.std()\n", - "\n", - "df_stand = by_industry.apply(zscore)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "df_stand.groupby(industries).agg(['mean', 'std'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Within-industry rank descending\n", - "ind_rank = by_industry.rank(ascending=False)\n", - "ind_rank.groupby(industries).agg(['min', 'max'])" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Industry rank and standardize\n", - "by_industry.apply(lambda x: zscore(x.rank()))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Group factor exposures" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from numpy.random import rand\n", - "fac1, fac2, fac3 = np.random.rand(3, 1000)\n", - "\n", - "ticker_subset = tickers.take(np.random.permutation(N)[:1000])\n", - "\n", - "# Weighted sum of factors plus noise\n", - "port = Series(0.7 * fac1 - 1.2 * fac2 + 0.3 * fac3 + rand(1000),\n", - " index=ticker_subset)\n", - "factors = DataFrame({'f1': fac1, 'f2': fac2, 'f3': fac3},\n", - " index=ticker_subset)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "factors.corrwith(port)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.ols(y=port, x=factors).beta" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def beta_exposure(chunk, factors=None):\n", - " return pd.ols(y=chunk, x=factors).beta" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "by_ind = port.groupby(industries)\n", - "exposures = by_ind.apply(beta_exposure, factors=factors)\n", - "exposures.unstack()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Decile and quartile analysis" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import pandas.io.data as web\n", - "data = web.get_data_yahoo('SPY', '2006-01-01')\n", - "data.info()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "px = data['Adj Close']\n", - "returns = px.pct_change()\n", - "\n", - "def to_index(rets):\n", - " index = (1 + rets).cumprod()\n", - " first_loc = max(index.index.get_loc(index.idxmax()) - 1, 0)\n", - " index.values[first_loc] = 1\n", - " return index\n", - "\n", - "def trend_signal(rets, lookback, lag):\n", - " signal = pd.rolling_sum(rets, lookback, min_periods=lookback - 5)\n", - " return signal.shift(lag)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "signal = trend_signal(returns, 100, 3)\n", - "trade_friday = signal.resample('W-FRI').resample('B', fill_method='ffill')\n", - "trade_rets = trade_friday.shift(1) * returns\n", - "trade_rets = trade_rets[:len(returns)]" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "to_index(trade_rets).plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "vol = pd.rolling_std(returns, 250, min_periods=200) * np.sqrt(250)\n", - "\n", - "def sharpe(rets, ann=250):\n", - " return rets.mean() / rets.std() * np.sqrt(ann)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "cats = pd.qcut(vol, 4)\n", - "print('cats: %d, trade_rets: %d, vol: %d' % (len(cats), len(trade_rets), len(vol)))" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "trade_rets.groupby(cats).agg(sharpe)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "More example applications" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Signal frontier analysis" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "names = ['AAPL', 'GOOG', 'MSFT', 'DELL', 'GS', 'MS', 'BAC', 'C']\n", - "def get_px(stock, start, end):\n", - " return web.get_data_yahoo(stock, start, end)['Adj Close']\n", - "px = DataFrame({n: get_px(n, None, None) for n in names})" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "px = pd.read_pickle('notebooks/stock_prices')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.close('all')" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "px = px.asfreq('B').fillna(method='pad')\n", - "rets = px.pct_change()\n", - "((1 + rets).cumprod() - 1).plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def calc_mom(price, lookback, lag):\n", - " mom_ret = price.shift(lag).pct_change(lookback)\n", - " ranks = mom_ret.rank(axis=1, ascending=False)\n", - " demeaned = ranks.subtract(ranks.mean(axis=1), axis=0)\n", - " return demeaned.divide(demeaned.std(axis=1), axis=0)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "compound = lambda x : (1 + x).prod() - 1\n", - "daily_sr = lambda x: x.mean() / x.std()\n", - "\n", - "def strat_sr(prices, lb, hold):\n", - " # Compute portfolio weights\n", - " freq = '%dB' % hold\n", - " port = calc_mom(prices, lb, lag=1)\n", - "\n", - " daily_rets = prices.pct_change()\n", - "\n", - " # Compute portfolio returns\n", - " port = port.shift(1).resample(freq, how='first')\n", - " returns = daily_rets.resample(freq, how=compound)\n", - " port_rets = (port * returns).sum(axis=1)\n", - "\n", - " return daily_sr(port_rets) * np.sqrt(252 / hold)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "strat_sr(px, 70, 30)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from collections import defaultdict\n", - "\n", - "lookbacks = range(20, 90, 5)\n", - "holdings = range(20, 90, 5)\n", - "dd = defaultdict(dict)\n", - "for lb in lookbacks:\n", - " for hold in holdings:\n", - " dd[lb][hold] = strat_sr(px, lb, hold)\n", - "\n", - "ddf = DataFrame(dd)\n", - "ddf.index.name = 'Holding Period'\n", - "ddf.columns.name = 'Lookback Period'" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import matplotlib.pyplot as plt\n", - "\n", - "def heatmap(df, cmap=plt.cm.gray_r):\n", - " fig = plt.figure()\n", - " ax = fig.add_subplot(111)\n", - " axim = ax.imshow(df.values, cmap=cmap, interpolation='nearest')\n", - " ax.set_xlabel(df.columns.name)\n", - " ax.set_xticks(np.arange(len(df.columns)))\n", - " ax.set_xticklabels(list(df.columns))\n", - " ax.set_ylabel(df.index.name)\n", - " ax.set_yticks(np.arange(len(df.index)))\n", - " ax.set_yticklabels(list(df.index))\n", - " plt.colorbar(axim)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "heatmap(ddf)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Future contract rolling" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.options.display.max_rows = 10" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import pandas.io.data as web\n", - "# Approximate price of S&P 500 index\n", - "px = web.get_data_yahoo('SPY')['Adj Close'] * 10\n", - "px" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from datetime import datetime\n", - "expiry = {'ESU2': datetime(2012, 9, 21),\n", - " 'ESZ2': datetime(2012, 12, 21)}\n", - "expiry = Series(expiry).order()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "expiry" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.random.seed(12347)\n", - "N = 200\n", - "walk = (np.random.randint(0, 200, size=N) - 100) * 0.25\n", - "perturb = (np.random.randint(0, 20, size=N) - 10) * 0.25\n", - "walk = walk.cumsum()\n", - "\n", - "rng = pd.date_range(px.index[0], periods=len(px) + N, freq='B')\n", - "near = np.concatenate([px.values, px.values[-1] + walk])\n", - "far = np.concatenate([px.values, px.values[-1] + walk + perturb])\n", - "prices = DataFrame({'ESU2': near, 'ESZ2': far}, index=rng)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "prices.tail()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def get_roll_weights(start, expiry, items, roll_periods=5):\n", - " # start : first date to compute weighting DataFrame\n", - " # expiry : Series of ticker -> expiration dates\n", - " # items : sequence of contract names\n", - "\n", - " dates = pd.date_range(start, expiry[-1], freq='B')\n", - " weights = DataFrame(np.zeros((len(dates), len(items))),\n", - " index=dates, columns=items)\n", - "\n", - " prev_date = weights.index[0]\n", - " for i, (item, ex_date) in enumerate(expiry.iteritems()):\n", - " if i < len(expiry) - 1:\n", - " weights.ix[prev_date:ex_date - pd.offsets.BDay(), item] = 1\n", - " roll_rng = pd.date_range(end=ex_date - pd.offsets.BDay(),\n", - " periods=roll_periods + 1, freq='B')\n", - "\n", - " decay_weights = np.linspace(0, 1, roll_periods + 1)\n", - " weights.ix[roll_rng, item] = 1 - decay_weights\n", - " weights.ix[roll_rng, expiry.index[i + 1]] = decay_weights\n", - " else:\n", - " weights.ix[prev_date:, item] = 1\n", - "\n", - " prev_date = ex_date\n", - "\n", - " return weights" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "weights = get_roll_weights('6/1/2012', expiry, prices.columns)\n", - "weights.ix['2012-09-12':'2012-09-21']" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "rolled_returns = (prices.pct_change() * weights).sum(1)" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Rolling correlation and linear regression" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "aapl = web.get_data_yahoo('AAPL', '2000-01-01')['Adj Close']\n", - "msft = web.get_data_yahoo('MSFT', '2000-01-01')['Adj Close']\n", - "\n", - "aapl_rets = aapl.pct_change()\n", - "msft_rets = msft.pct_change()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.figure()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pd.rolling_corr(aapl_rets, msft_rets, 250).plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.figure()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "model = pd.ols(y=aapl_rets, x={'MSFT': msft_rets}, window=250)\n", - "model.beta" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "model.beta['MSFT'].plot()" - ], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" } - ] + }, + "nbformat": 4, + "nbformat_minor": 4 } \ No newline at end of file diff --git a/ch11/stock_px.csv b/ch11/stock_px.csv deleted file mode 100644 index 0e0cc99ed..000000000 --- a/ch11/stock_px.csv +++ /dev/null @@ -1,5473 +0,0 @@ -,AA,AAPL,GE,IBM,JNJ,MSFT,PEP,SPX,XOM -1990-02-01 00:00:00,4.98,7.86,2.87,16.79,4.27,0.51,6.04,328.79,6.12 -1990-02-02 00:00:00,5.04,8.0,2.87,16.89,4.37,0.51,6.09,330.92,6.24 -1990-02-05 00:00:00,5.07,8.18,2.87,17.32,4.34,0.51,6.05,331.85,6.25 -1990-02-06 00:00:00,5.01,8.12,2.88,17.56,4.32,0.51,6.15,329.66,6.23 -1990-02-07 00:00:00,5.04,7.77,2.91,17.93,4.38,0.51,6.17,333.75,6.33 -1990-02-08 00:00:00,5.04,7.71,2.92,17.86,4.46,0.51,6.22,332.96,6.35 -1990-02-09 00:00:00,5.06,8.0,2.94,17.82,4.49,0.52,6.24,333.62,6.37 -1990-02-12 00:00:00,4.96,7.94,2.89,17.58,4.46,0.52,6.23,330.08,6.22 -1990-02-13 00:00:00,4.91,8.06,2.88,17.95,4.43,0.52,6.09,331.02,6.23 -1990-02-14 00:00:00,4.94,8.0,2.89,18.04,4.47,0.52,6.1,332.01,6.2 -1990-02-15 00:00:00,4.99,8.0,2.91,18.04,4.54,0.53,6.15,334.89,6.4 -1990-02-16 00:00:00,5.1,7.91,2.88,17.99,4.47,0.53,6.11,332.72,6.33 -1990-02-20 00:00:00,5.04,7.85,2.83,17.88,4.39,0.55,6.01,327.99,6.25 -1990-02-21 00:00:00,5.01,7.97,2.81,18.23,4.33,0.52,5.91,327.67,6.28 -1990-02-22 00:00:00,5.06,7.73,2.82,17.95,4.28,0.53,5.87,325.7,6.22 -1990-02-23 00:00:00,5.07,7.79,2.81,17.84,4.2,0.53,5.88,324.15,6.22 -1990-02-26 00:00:00,5.13,7.97,2.84,18.08,4.3,0.54,5.93,328.67,6.37 -1990-02-27 00:00:00,5.16,7.85,2.88,18.04,4.3,0.53,6.0,330.26,6.38 -1990-02-28 00:00:00,5.22,7.97,2.89,18.06,4.32,0.54,6.06,331.89,6.2 -1990-03-01 00:00:00,5.26,8.03,2.88,18.08,4.35,0.55,5.98,332.74,6.13 -1990-03-02 00:00:00,5.41,7.91,2.92,18.23,4.43,0.57,5.89,335.54,6.17 -1990-03-05 00:00:00,5.39,8.08,2.89,18.25,4.36,0.57,5.89,333.74,6.1 -1990-03-06 00:00:00,5.4,8.26,2.92,18.39,4.45,0.57,5.97,337.93,6.22 -1990-03-07 00:00:00,5.36,8.29,2.93,18.34,4.45,0.56,6.06,336.95,6.13 -1990-03-08 00:00:00,5.34,8.61,2.95,18.6,4.5,0.58,6.18,340.27,6.17 -1990-03-09 00:00:00,5.33,8.64,2.93,18.52,4.48,0.58,6.1,337.93,6.12 -1990-03-12 00:00:00,5.34,8.58,2.92,18.73,4.46,0.59,6.22,338.67,6.13 -1990-03-13 00:00:00,5.29,8.64,2.9,18.47,4.38,0.58,6.18,336.0,6.02 -1990-03-14 00:00:00,5.28,8.67,2.95,18.47,4.44,0.59,6.15,336.87,6.13 -1990-03-15 00:00:00,5.36,8.61,2.96,18.6,4.58,0.61,6.18,338.07,6.18 -1990-03-16 00:00:00,5.44,9.43,2.99,18.88,4.61,0.62,6.26,341.91,6.27 -1990-03-19 00:00:00,5.53,9.93,3.03,18.95,4.59,0.64,6.43,343.53,6.27 -1990-03-20 00:00:00,5.46,9.7,3.01,18.78,4.54,0.62,6.4,341.57,6.17 -1990-03-21 00:00:00,5.41,9.76,3.0,18.65,4.5,0.62,6.4,339.74,6.1 -1990-03-22 00:00:00,5.34,9.55,2.96,18.52,4.42,0.61,6.31,335.69,6.07 -1990-03-23 00:00:00,5.33,9.9,2.98,18.25,4.49,0.6,6.41,337.22,6.09 -1990-03-26 00:00:00,5.32,9.9,2.99,18.1,4.5,0.61,6.51,337.63,6.04 -1990-03-27 00:00:00,5.35,9.84,3.03,18.17,4.6,0.61,6.61,341.5,6.15 -1990-03-28 00:00:00,5.41,9.67,3.03,18.41,4.6,0.61,6.65,342.0,6.1 -1990-03-29 00:00:00,5.36,9.64,3.02,18.43,4.56,0.6,6.58,340.79,6.09 -1990-03-30 00:00:00,5.26,9.43,3.01,18.45,4.52,0.6,6.52,339.94,6.1 -1990-04-02 00:00:00,5.18,9.43,2.99,18.41,4.52,0.61,6.54,338.7,6.1 -1990-04-03 00:00:00,5.17,9.78,3.04,18.54,4.64,0.63,6.66,343.64,6.22 -1990-04-04 00:00:00,5.13,9.67,3.01,18.52,4.57,0.64,6.61,341.09,6.13 -1990-04-05 00:00:00,5.15,9.43,3.01,18.45,4.6,0.62,6.64,340.73,6.1 -1990-04-06 00:00:00,5.04,9.35,3.01,18.41,4.6,0.62,6.77,340.08,6.09 -1990-04-09 00:00:00,5.06,9.64,3.02,18.34,4.68,0.62,6.92,341.37,6.07 -1990-04-10 00:00:00,5.11,9.67,3.01,18.41,4.68,0.64,6.91,342.07,6.07 -1990-04-11 00:00:00,5.2,9.96,3.03,18.49,4.69,0.66,6.95,341.92,6.02 -1990-04-12 00:00:00,5.25,10.13,3.09,18.62,4.72,0.66,7.04,344.34,6.04 -1990-04-16 00:00:00,5.27,10.25,3.12,19.28,4.7,0.66,7.05,344.74,6.02 -1990-04-17 00:00:00,5.26,10.13,3.13,19.32,4.76,0.68,7.05,344.68,6.04 -1990-04-18 00:00:00,5.21,10.13,3.11,19.1,4.72,0.66,6.91,340.72,6.0 -1990-04-19 00:00:00,5.15,9.43,3.08,18.97,4.68,0.65,6.82,338.09,6.07 -1990-04-20 00:00:00,5.1,9.43,3.06,19.01,4.69,0.65,6.8,335.12,6.12 -1990-04-23 00:00:00,5.04,9.31,3.02,19.01,4.6,0.64,6.77,331.05,6.04 -1990-04-24 00:00:00,5.07,9.08,3.01,18.93,4.56,0.63,6.77,330.36,5.97 -1990-04-25 00:00:00,5.1,9.08,3.01,19.01,4.55,0.63,6.74,332.03,5.97 -1990-04-26 00:00:00,5.12,9.11,3.02,18.91,4.6,0.63,6.78,332.92,6.02 -1990-04-27 00:00:00,5.14,9.17,2.99,18.67,4.54,0.61,6.71,329.11,5.94 -1990-04-30 00:00:00,5.07,9.23,2.99,18.95,4.56,0.63,6.9,330.8,5.97 -1990-05-01 00:00:00,5.07,9.29,3.01,18.78,4.61,0.62,6.84,332.25,5.95 -1990-05-02 00:00:00,5.09,9.31,3.03,18.97,4.69,0.64,6.96,334.48,6.05 -1990-05-03 00:00:00,5.11,9.37,3.03,18.99,4.67,0.64,7.03,335.57,6.12 -1990-05-04 00:00:00,5.11,9.37,3.06,19.43,4.75,0.67,7.1,338.39,6.13 -1990-05-07 00:00:00,5.19,9.72,3.08,19.43,4.78,0.7,7.06,340.53,6.13 -1990-05-08 00:00:00,5.23,9.78,3.1,19.47,4.77,0.68,7.05,342.01,6.11 -1990-05-09 00:00:00,5.19,9.81,3.12,19.56,4.7,0.68,6.99,342.86,6.15 -1990-05-10 00:00:00,5.19,9.7,3.15,19.75,4.73,0.7,7.01,343.82,6.23 -1990-05-11 00:00:00,5.25,9.99,3.19,20.04,4.83,0.71,7.25,352.0,6.4 -1990-05-14 00:00:00,5.27,9.78,3.2,20.09,4.88,0.72,7.22,354.75,6.42 -1990-05-15 00:00:00,5.31,9.78,3.19,20.33,4.91,0.71,7.16,354.28,6.35 -1990-05-16 00:00:00,5.28,9.76,3.19,20.28,4.93,0.71,7.13,354.0,6.4 -1990-05-17 00:00:00,5.35,9.72,3.18,20.41,4.96,0.71,7.18,354.47,6.4 -1990-05-18 00:00:00,5.37,9.31,3.19,20.28,4.92,0.74,7.22,354.64,6.38 -1990-05-21 00:00:00,5.44,9.28,3.2,20.57,5.0,0.77,7.39,358.0,6.4 -1990-05-22 00:00:00,5.51,9.72,3.2,20.7,5.03,0.78,7.39,358.43,6.4 -1990-05-23 00:00:00,5.44,9.87,3.2,20.88,5.04,0.83,7.48,359.29,6.33 -1990-05-24 00:00:00,5.32,9.87,3.25,20.88,5.14,0.83,7.44,358.41,6.3 -1990-05-25 00:00:00,5.31,9.4,3.2,20.44,5.07,0.81,7.31,354.58,6.21 -1990-05-29 00:00:00,5.35,9.63,3.26,21.05,5.16,0.82,7.48,360.65,6.37 -1990-05-30 00:00:00,5.35,9.72,3.25,21.25,5.19,0.82,7.61,360.86,6.38 -1990-05-31 00:00:00,5.39,9.69,3.24,21.1,5.17,0.8,7.69,361.23,6.42 -1990-06-01 00:00:00,5.46,9.58,3.27,21.01,5.2,0.82,7.81,363.16,6.38 -1990-06-04 00:00:00,5.58,9.58,3.31,21.16,5.27,0.83,7.94,367.4,6.45 -1990-06-05 00:00:00,5.57,9.28,3.29,21.23,5.28,0.8,7.92,366.64,6.45 -1990-06-06 00:00:00,5.55,9.28,3.27,21.21,5.23,0.8,7.82,364.96,6.4 -1990-06-07 00:00:00,5.5,9.16,3.26,21.21,5.2,0.79,7.75,363.15,6.37 -1990-06-08 00:00:00,5.48,8.99,3.23,20.88,5.1,0.8,7.64,358.71,6.28 -1990-06-11 00:00:00,5.5,9.16,3.24,21.07,5.18,0.82,7.63,361.63,6.4 -1990-06-12 00:00:00,5.51,9.52,3.31,21.14,5.26,0.83,7.76,366.25,6.53 -1990-06-13 00:00:00,5.49,9.34,3.31,21.34,5.24,0.83,7.76,364.9,6.43 -1990-06-14 00:00:00,5.46,9.34,3.28,21.25,5.17,0.82,7.75,362.9,6.43 -1990-06-15 00:00:00,5.39,9.28,3.3,21.16,5.21,0.83,7.73,362.91,6.4 -1990-06-18 00:00:00,5.33,9.22,3.26,20.85,5.13,0.82,7.67,356.88,6.35 -1990-06-19 00:00:00,5.31,9.31,3.29,20.88,5.16,0.82,7.76,358.47,6.33 -1990-06-20 00:00:00,5.39,9.4,3.3,20.74,5.23,0.85,7.82,359.1,6.4 -1990-06-21 00:00:00,5.39,9.84,3.3,20.94,5.39,0.84,7.86,360.47,6.5 -1990-06-22 00:00:00,5.32,9.75,3.27,20.44,5.29,0.83,7.84,355.43,6.4 -1990-06-25 00:00:00,5.29,9.69,3.27,20.5,5.24,0.81,7.75,352.31,6.32 -1990-06-26 00:00:00,5.22,9.55,3.25,20.52,5.25,0.82,7.89,352.06,6.28 -1990-06-27 00:00:00,5.22,9.75,3.26,20.74,5.39,0.83,7.99,355.14,6.42 -1990-06-28 00:00:00,5.21,10.1,3.26,20.68,5.49,0.83,8.15,357.63,6.45 -1990-06-29 00:00:00,5.21,10.52,3.26,20.66,5.48,0.83,8.11,358.02,6.4 -1990-07-02 00:00:00,5.23,10.34,3.32,20.83,5.63,0.8,8.14,359.54,6.38 -1990-07-03 00:00:00,5.29,10.34,3.35,20.68,5.6,0.79,8.23,360.16,6.33 -1990-07-05 00:00:00,5.24,10.22,3.31,20.63,5.53,0.79,8.13,355.68,6.25 -1990-07-06 00:00:00,5.44,10.52,3.33,20.74,5.57,0.8,8.35,358.42,6.38 -1990-07-09 00:00:00,5.47,10.96,3.36,20.92,5.53,0.81,8.24,359.52,6.33 -1990-07-10 00:00:00,5.39,11.04,3.33,20.7,5.5,0.8,8.22,356.49,6.25 -1990-07-11 00:00:00,5.53,11.04,3.4,20.94,5.63,0.82,8.36,361.23,6.4 -1990-07-12 00:00:00,5.58,11.13,3.46,21.1,5.74,0.85,8.36,365.44,6.58 -1990-07-13 00:00:00,5.62,10.99,3.53,21.27,5.71,0.86,8.48,367.31,6.52 -1990-07-16 00:00:00,5.66,10.72,3.52,21.51,5.74,0.86,8.58,368.95,6.52 -1990-07-17 00:00:00,5.55,10.4,3.5,21.23,5.76,0.85,8.67,367.52,6.5 -1990-07-18 00:00:00,5.51,10.49,3.5,21.07,5.78,0.83,8.56,364.22,6.48 -1990-07-19 00:00:00,5.54,9.81,3.53,21.1,5.89,0.84,8.62,365.32,6.68 -1990-07-20 00:00:00,5.41,9.63,3.49,20.68,5.91,0.8,8.46,361.61,6.5 -1990-07-23 00:00:00,5.39,9.75,3.41,20.37,5.75,0.79,8.19,355.31,6.4 -1990-07-24 00:00:00,5.53,9.9,3.43,20.17,5.83,0.76,8.2,355.79,6.68 -1990-07-25 00:00:00,5.65,9.93,3.45,20.17,5.93,0.78,8.19,357.09,6.63 -1990-07-26 00:00:00,5.64,9.72,3.44,19.89,5.94,0.75,8.33,355.91,6.53 -1990-07-27 00:00:00,5.59,9.72,3.39,19.58,5.86,0.75,8.3,353.44,6.58 -1990-07-30 00:00:00,5.75,9.96,3.41,19.71,5.8,0.74,8.13,355.55,6.78 -1990-07-31 00:00:00,5.74,9.87,3.37,19.6,5.71,0.73,8.05,356.15,6.93 -1990-08-01 00:00:00,5.64,9.96,3.39,19.62,5.71,0.73,8.06,355.52,6.97 -1990-08-02 00:00:00,5.56,10.22,3.33,19.29,5.56,0.72,7.94,351.48,7.12 -1990-08-03 00:00:00,5.41,9.69,3.29,19.01,5.44,0.69,7.96,344.86,7.1 -1990-08-06 00:00:00,5.15,9.28,3.11,18.47,5.18,0.66,7.55,334.43,7.25 -1990-08-07 00:00:00,5.21,9.28,3.17,18.31,5.28,0.67,7.62,334.83,7.21 -1990-08-08 00:00:00,5.27,9.43,3.2,18.33,5.43,0.69,7.86,338.35,6.99 -1990-08-09 00:00:00,5.31,9.28,3.2,18.36,5.41,0.71,8.01,339.94,7.01 -1990-08-10 00:00:00,5.23,9.11,3.14,18.13,5.35,0.7,7.94,335.52,6.98 -1990-08-13 00:00:00,5.28,9.37,3.18,18.45,5.45,0.71,7.99,338.84,7.08 -1990-08-14 00:00:00,5.32,9.34,3.16,18.56,5.47,0.7,8.1,339.39,7.06 -1990-08-15 00:00:00,5.35,9.22,3.12,18.67,5.56,0.7,8.24,340.06,7.03 -1990-08-16 00:00:00,5.25,9.05,3.06,18.45,5.44,0.67,7.86,332.39,6.99 -1990-08-17 00:00:00,5.21,8.58,3.01,18.02,5.36,0.66,7.65,327.83,7.05 -1990-08-20 00:00:00,5.18,8.66,3.01,18.18,5.29,0.61,7.65,328.51,7.13 -1990-08-21 00:00:00,5.11,8.54,2.91,17.87,5.2,0.59,7.37,321.86,7.01 -1990-08-22 00:00:00,5.05,8.28,2.84,17.6,5.1,0.59,7.11,316.55,6.94 -1990-08-23 00:00:00,5.02,8.13,2.76,17.22,4.95,0.56,6.88,307.06,6.71 -1990-08-24 00:00:00,5.06,8.37,2.89,17.84,5.04,0.62,7.29,311.51,6.61 -1990-08-27 00:00:00,5.13,8.9,2.99,18.56,5.26,0.66,7.63,321.44,6.71 -1990-08-28 00:00:00,5.13,8.99,2.96,18.42,5.27,0.69,7.64,321.34,6.77 -1990-08-29 00:00:00,5.2,8.78,2.95,18.47,5.37,0.66,7.85,324.19,6.74 -1990-08-30 00:00:00,5.25,8.54,2.91,18.09,5.3,0.65,7.67,318.71,6.61 -1990-08-31 00:00:00,5.32,8.72,2.92,18.11,5.34,0.67,7.85,322.56,6.76 -1990-09-04 00:00:00,5.39,8.72,2.88,18.22,5.38,0.68,7.79,323.09,6.77 -1990-09-05 00:00:00,5.52,8.48,2.84,18.22,5.38,0.64,7.92,324.39,6.88 -1990-09-06 00:00:00,5.48,8.43,2.83,18.2,5.27,0.63,7.68,320.46,6.81 -1990-09-07 00:00:00,5.52,8.57,2.86,18.76,5.34,0.63,7.92,323.4,6.88 -1990-09-10 00:00:00,5.54,8.43,2.88,18.82,5.31,0.61,7.83,321.63,6.81 -1990-09-11 00:00:00,5.47,8.01,2.93,19.11,5.29,0.61,7.91,321.04,6.88 -1990-09-12 00:00:00,5.64,8.01,2.92,19.18,5.29,0.63,8.03,322.54,6.94 -1990-09-13 00:00:00,5.56,7.95,2.84,18.67,5.18,0.63,7.87,318.65,6.86 -1990-09-14 00:00:00,5.51,8.01,2.8,18.56,5.19,0.65,7.79,316.83,6.94 -1990-09-17 00:00:00,5.58,7.95,2.78,18.69,5.22,0.66,7.63,317.77,6.98 -1990-09-18 00:00:00,5.63,7.87,2.76,19.07,5.27,0.67,7.51,318.6,6.93 -1990-09-19 00:00:00,5.77,7.66,2.64,19.27,5.21,0.68,7.36,316.6,6.93 -1990-09-20 00:00:00,5.65,7.45,2.62,19.18,5.06,0.65,7.16,311.48,6.91 -1990-09-21 00:00:00,5.58,7.42,2.65,18.98,5.08,0.66,7.0,311.32,6.93 -1990-09-24 00:00:00,5.27,7.13,2.59,18.67,4.99,0.64,6.81,304.59,6.82 -1990-09-25 00:00:00,5.2,7.07,2.64,18.91,5.12,0.66,6.92,308.26,6.82 -1990-09-26 00:00:00,5.19,7.01,2.61,18.73,5.1,0.66,6.92,305.06,6.74 -1990-09-27 00:00:00,5.16,6.66,2.45,18.56,5.07,0.65,6.96,300.97,6.72 -1990-09-28 00:00:00,5.18,6.83,2.59,18.91,5.14,0.69,7.24,306.05,6.62 -1990-10-01 00:00:00,5.25,7.19,2.67,19.38,5.36,0.73,7.75,314.94,6.71 -1990-10-02 00:00:00,5.2,6.98,2.65,19.25,5.4,0.72,7.71,315.21,6.69 -1990-10-03 00:00:00,5.18,6.36,2.59,19.09,5.32,0.72,7.59,311.4,6.71 -1990-10-04 00:00:00,5.16,6.6,2.58,19.18,5.33,0.7,7.79,312.69,6.81 -1990-10-05 00:00:00,5.12,6.6,2.58,19.25,5.33,0.71,7.63,311.5,6.74 -1990-10-08 00:00:00,5.11,6.86,2.59,19.47,5.41,0.72,7.67,313.48,6.81 -1990-10-09 00:00:00,4.94,6.6,2.51,18.73,5.3,0.69,7.24,305.1,6.72 -1990-10-10 00:00:00,4.67,6.25,2.47,18.4,5.25,0.65,7.24,300.39,6.59 -1990-10-11 00:00:00,4.5,6.54,2.43,17.96,5.15,0.63,7.12,295.46,6.5 -1990-10-12 00:00:00,4.42,6.66,2.52,17.82,5.23,0.62,7.48,300.03,6.55 -1990-10-15 00:00:00,4.36,6.54,2.58,17.65,5.32,0.62,7.63,303.23,6.66 -1990-10-16 00:00:00,4.29,5.89,2.45,17.67,5.27,0.6,7.44,298.92,6.57 -1990-10-17 00:00:00,4.35,6.25,2.5,17.91,5.3,0.62,7.16,298.76,6.55 -1990-10-18 00:00:00,4.46,6.72,2.59,18.73,5.44,0.67,7.51,305.74,6.55 -1990-10-19 00:00:00,4.49,7.39,2.64,19.13,5.48,0.68,7.87,312.48,6.74 -1990-10-22 00:00:00,4.54,7.33,2.55,19.16,5.55,0.7,7.83,314.76,6.71 -1990-10-23 00:00:00,4.54,7.31,2.56,18.98,5.58,0.7,7.75,312.36,6.55 -1990-10-24 00:00:00,4.6,7.19,2.46,19.31,5.52,0.71,7.71,312.6,6.55 -1990-10-25 00:00:00,4.6,7.07,2.43,19.22,5.5,0.71,7.67,310.17,6.45 -1990-10-26 00:00:00,4.56,7.07,2.4,19.0,5.38,0.69,7.48,304.71,6.39 -1990-10-29 00:00:00,4.53,7.04,2.42,18.85,5.33,0.68,7.24,301.88,6.44 -1990-10-30 00:00:00,4.44,7.16,2.51,18.91,5.35,0.7,7.51,304.06,6.61 -1990-10-31 00:00:00,4.42,7.25,2.47,18.76,5.24,0.7,7.55,304.0,6.62 -1990-11-01 00:00:00,4.43,7.19,2.49,19.07,5.35,0.69,7.59,307.02,6.72 -1990-11-02 00:00:00,4.52,7.48,2.52,19.27,5.42,0.71,7.67,311.85,6.71 -1990-11-05 00:00:00,4.5,7.84,2.56,19.39,5.49,0.72,7.87,314.59,6.71 -1990-11-06 00:00:00,4.41,7.9,2.54,19.39,5.4,0.7,7.67,311.62,6.75 -1990-11-07 00:00:00,4.31,7.84,2.47,19.15,5.32,0.7,7.48,306.01,6.61 -1990-11-08 00:00:00,4.2,8.13,2.46,19.33,5.29,0.69,7.51,307.61,6.75 -1990-11-09 00:00:00,4.2,8.37,2.55,19.82,5.33,0.71,7.67,313.74,6.9 -1990-11-12 00:00:00,4.35,8.54,2.63,20.32,5.43,0.75,7.87,319.48,6.88 -1990-11-13 00:00:00,4.33,8.48,2.64,20.14,5.39,0.75,7.95,317.67,6.85 -1990-11-14 00:00:00,4.38,8.72,2.62,20.41,5.42,0.76,8.07,320.4,6.88 -1990-11-15 00:00:00,4.43,8.48,2.61,20.25,5.38,0.74,7.99,317.02,6.85 -1990-11-16 00:00:00,4.41,8.31,2.63,20.43,5.36,0.74,8.03,317.12,6.9 -1990-11-19 00:00:00,4.41,8.6,2.63,20.63,5.44,0.76,8.18,319.34,6.94 -1990-11-20 00:00:00,4.41,8.39,2.53,20.38,5.4,0.74,8.03,315.31,6.94 -1990-11-21 00:00:00,4.49,8.54,2.55,20.52,5.4,0.75,8.11,316.03,6.95 -1990-11-23 00:00:00,4.51,8.6,2.55,20.25,5.35,0.75,8.07,315.1,7.0 -1990-11-26 00:00:00,4.51,8.69,2.54,20.47,5.34,0.77,8.07,316.51,6.99 -1990-11-27 00:00:00,4.57,8.87,2.54,20.41,5.36,0.78,8.18,318.1,6.9 -1990-11-28 00:00:00,4.56,8.69,2.5,20.2,5.48,0.77,7.99,317.95,6.9 -1990-11-29 00:00:00,4.54,8.69,2.52,20.14,5.56,0.78,7.87,316.42,6.88 -1990-11-30 00:00:00,4.57,8.69,2.6,20.43,5.7,0.79,8.07,322.22,6.94 -1990-12-03 00:00:00,4.58,9.02,2.61,20.38,5.8,0.81,8.18,324.1,6.95 -1990-12-04 00:00:00,4.58,9.1,2.66,20.63,5.8,0.81,8.34,326.35,6.9 -1990-12-05 00:00:00,4.68,9.49,2.73,20.61,5.76,0.82,8.46,329.92,6.88 -1990-12-06 00:00:00,4.69,9.75,2.76,20.05,5.77,0.82,8.46,329.07,6.8 -1990-12-07 00:00:00,4.69,10.05,2.76,20.23,5.78,0.81,8.38,327.75,6.75 -1990-12-10 00:00:00,4.79,9.87,2.73,20.38,5.75,0.81,8.33,328.89,6.8 -1990-12-11 00:00:00,4.77,9.46,2.72,20.29,5.74,0.79,8.18,326.44,6.82 -1990-12-12 00:00:00,4.87,9.37,2.73,20.56,5.83,0.79,8.37,330.19,6.9 -1990-12-13 00:00:00,4.86,9.64,2.7,20.29,5.78,0.79,8.41,329.34,6.92 -1990-12-14 00:00:00,4.81,9.43,2.67,20.0,5.73,0.8,8.21,326.82,6.95 -1990-12-17 00:00:00,4.78,9.49,2.66,20.05,5.75,0.81,8.21,326.02,6.99 -1990-12-18 00:00:00,4.81,9.99,2.73,20.41,5.86,0.82,8.33,330.05,6.99 -1990-12-19 00:00:00,4.9,9.9,2.72,20.27,5.86,0.82,8.37,330.2,6.92 -1990-12-20 00:00:00,4.88,10.4,2.76,20.45,5.85,0.82,8.37,330.12,6.9 -1990-12-21 00:00:00,4.9,10.64,2.78,20.47,5.81,0.83,8.33,331.75,6.95 -1990-12-24 00:00:00,4.86,10.4,2.76,20.47,5.81,0.82,8.25,329.9,7.02 -1990-12-26 00:00:00,4.87,10.35,2.75,20.41,5.83,0.82,8.14,330.85,7.09 -1990-12-27 00:00:00,4.8,10.29,2.74,20.43,5.78,0.82,8.14,328.29,7.02 -1990-12-28 00:00:00,4.76,10.17,2.75,20.38,5.8,0.82,8.14,328.72,7.07 -1990-12-31 00:00:00,4.8,10.17,2.75,20.32,5.87,0.82,8.21,330.22,7.09 -1991-01-02 00:00:00,4.83,10.29,2.71,20.16,5.72,0.82,8.14,326.45,6.95 -1991-01-03 00:00:00,4.8,10.17,2.65,20.23,5.66,0.82,7.9,321.91,6.99 -1991-01-04 00:00:00,4.69,10.23,2.62,20.16,5.62,0.83,7.86,321.0,7.06 -1991-01-07 00:00:00,4.66,10.23,2.58,19.82,5.45,0.82,7.66,315.44,6.97 -1991-01-08 00:00:00,4.59,10.23,2.6,19.6,5.5,0.8,7.7,314.9,6.95 -1991-01-09 00:00:00,4.51,10.7,2.6,19.22,5.36,0.81,7.7,311.49,6.83 -1991-01-10 00:00:00,4.62,11.15,2.6,19.48,5.51,0.85,7.66,314.53,6.9 -1991-01-11 00:00:00,4.63,11.11,2.59,19.44,5.55,0.85,7.74,315.23,6.83 -1991-01-14 00:00:00,4.63,10.94,2.6,19.19,5.56,0.84,7.7,312.49,6.85 -1991-01-15 00:00:00,4.65,11.06,2.61,19.33,5.57,0.86,7.62,313.73,6.83 -1991-01-16 00:00:00,4.65,11.76,2.62,19.62,5.67,0.9,7.86,316.17,6.82 -1991-01-17 00:00:00,4.87,12.12,2.78,20.81,5.85,0.92,8.49,327.97,6.97 -1991-01-18 00:00:00,4.97,11.88,2.77,21.15,5.88,0.93,8.61,332.23,7.07 -1991-01-21 00:00:00,5.01,12.0,2.75,21.51,5.9,0.98,8.45,331.06,7.02 -1991-01-22 00:00:00,4.87,12.12,2.72,21.22,5.87,0.97,8.33,328.31,6.97 -1991-01-23 00:00:00,4.97,12.24,2.74,21.44,5.97,0.97,8.49,330.21,7.12 -1991-01-24 00:00:00,4.91,12.33,2.8,21.76,6.11,0.99,8.85,334.78,7.12 -1991-01-25 00:00:00,4.93,12.65,2.87,22.05,6.1,0.98,8.57,336.07,7.21 -1991-01-28 00:00:00,4.99,12.89,2.91,22.34,6.11,1.01,8.33,336.03,7.19 -1991-01-29 00:00:00,5.15,12.71,2.91,22.39,6.15,1.01,8.57,335.84,7.12 -1991-01-30 00:00:00,5.46,13.12,2.97,22.83,6.24,1.05,8.73,340.91,7.09 -1991-01-31 00:00:00,5.41,13.12,3.07,22.79,6.25,1.07,8.69,343.93,7.07 -1991-02-01 00:00:00,5.49,13.18,3.07,22.81,6.14,1.09,8.53,343.05,6.92 -1991-02-04 00:00:00,5.6,13.07,3.12,23.12,6.24,1.08,8.53,348.34,7.02 -1991-02-05 00:00:00,5.55,13.66,3.18,23.33,6.23,1.11,9.08,351.26,7.03 -1991-02-06 00:00:00,5.51,13.45,3.19,23.58,6.32,1.15,9.56,358.07,7.34 -1991-02-07 00:00:00,5.43,13.66,3.11,23.33,6.24,1.12,9.36,356.52,7.46 -1991-02-08 00:00:00,5.49,14.16,3.13,23.51,6.32,1.14,9.32,359.35,7.38 -1991-02-11 00:00:00,5.75,14.51,3.2,24.03,6.53,1.14,9.68,368.58,7.57 -1991-02-12 00:00:00,5.61,14.19,3.2,24.1,6.45,1.13,9.56,365.5,7.41 -1991-02-13 00:00:00,5.86,14.19,3.25,24.44,6.5,1.15,9.79,369.02,7.6 -1991-02-14 00:00:00,5.68,13.51,3.23,24.51,6.4,1.1,10.03,364.22,7.46 -1991-02-15 00:00:00,5.72,13.66,3.34,24.94,6.65,1.13,10.11,369.06,7.41 -1991-02-19 00:00:00,5.68,14.22,3.34,25.32,6.64,1.12,10.19,369.39,7.43 -1991-02-20 00:00:00,5.58,14.46,3.28,25.03,6.57,1.12,9.99,365.14,7.44 -1991-02-21 00:00:00,5.5,13.98,3.27,24.6,6.6,1.09,10.19,364.97,7.48 -1991-02-22 00:00:00,5.44,14.16,3.32,24.19,6.61,1.12,10.51,365.65,7.46 -1991-02-25 00:00:00,5.34,13.74,3.36,24.26,6.75,1.12,10.58,367.26,7.48 -1991-02-26 00:00:00,5.45,13.8,3.28,23.55,6.64,1.11,10.35,362.81,7.46 -1991-02-27 00:00:00,5.38,13.8,3.33,23.76,6.76,1.15,10.62,367.74,7.74 -1991-02-28 00:00:00,5.39,13.57,3.28,23.37,6.74,1.13,10.35,367.07,7.65 -1991-03-01 00:00:00,5.53,13.69,3.33,23.78,6.73,1.15,10.43,370.47,7.74 -1991-03-04 00:00:00,5.62,13.83,3.3,23.71,6.66,1.17,10.1,369.33,7.58 -1991-03-05 00:00:00,5.7,14.96,3.33,24.23,6.84,1.22,10.74,376.72,7.62 -1991-03-06 00:00:00,5.79,14.93,3.31,24.12,7.19,1.17,10.38,376.17,7.62 -1991-03-07 00:00:00,5.7,15.94,3.29,24.05,7.42,1.14,10.38,375.91,7.67 -1991-03-08 00:00:00,5.67,15.4,3.22,23.83,7.37,1.12,10.3,374.95,7.69 -1991-03-11 00:00:00,5.64,15.05,3.3,23.44,7.25,1.08,10.18,372.96,7.7 -1991-03-12 00:00:00,5.65,14.9,3.28,23.05,7.18,1.05,9.9,370.03,7.81 -1991-03-13 00:00:00,5.8,15.7,3.35,23.44,7.31,1.1,10.22,374.57,7.95 -1991-03-14 00:00:00,5.79,15.46,3.31,23.26,7.53,1.07,10.5,373.5,7.91 -1991-03-15 00:00:00,5.71,15.7,3.31,22.99,7.69,1.05,10.58,373.59,7.93 -1991-03-18 00:00:00,5.68,16.06,3.32,23.21,7.62,1.08,10.5,372.11,7.83 -1991-03-19 00:00:00,5.57,16.47,3.26,20.9,7.44,1.08,10.3,366.59,7.83 -1991-03-20 00:00:00,5.56,16.06,3.22,20.72,7.39,1.08,10.62,367.92,7.93 -1991-03-21 00:00:00,5.47,15.34,3.2,20.31,7.4,1.03,10.66,366.58,7.95 -1991-03-22 00:00:00,5.52,14.99,3.2,20.26,7.5,1.02,10.42,367.48,8.03 -1991-03-25 00:00:00,5.54,15.28,3.23,20.6,7.8,1.07,10.38,369.83,8.21 -1991-03-26 00:00:00,5.61,16.59,3.39,20.67,8.01,1.15,10.81,376.3,8.26 -1991-03-27 00:00:00,5.59,16.41,3.36,20.49,7.94,1.18,10.81,375.35,8.1 -1991-03-28 00:00:00,5.51,16.11,3.36,20.67,7.87,1.16,10.85,375.22,8.12 -1991-04-01 00:00:00,5.42,16.23,3.37,20.38,7.75,1.17,10.77,371.3,7.98 -1991-04-02 00:00:00,5.54,17.24,3.48,20.56,7.92,1.23,11.29,379.5,8.17 -1991-04-03 00:00:00,5.51,16.59,3.45,20.53,7.91,1.24,10.77,378.94,8.03 -1991-04-04 00:00:00,5.47,16.94,3.47,20.6,7.79,1.24,10.81,379.77,7.98 -1991-04-05 00:00:00,5.45,16.44,3.42,20.44,7.67,1.2,10.54,375.36,7.97 -1991-04-08 00:00:00,5.44,16.59,3.46,20.51,7.95,1.22,10.3,378.66,8.0 -1991-04-09 00:00:00,5.4,16.29,3.44,20.2,7.85,1.2,10.26,373.56,7.91 -1991-04-10 00:00:00,5.33,15.85,3.5,20.2,7.81,1.17,10.3,373.15,7.93 -1991-04-11 00:00:00,5.3,16.83,3.51,20.08,7.99,1.21,10.46,377.63,8.09 -1991-04-12 00:00:00,5.23,17.0,3.53,19.7,8.03,1.17,10.5,380.4,8.29 -1991-04-15 00:00:00,5.5,14.75,3.56,19.4,7.96,1.24,10.62,381.19,8.26 -1991-04-16 00:00:00,5.5,15.23,3.62,19.83,8.23,1.23,10.77,387.62,8.35 -1991-04-17 00:00:00,5.72,14.99,3.63,19.94,8.17,1.22,10.62,390.45,8.35 -1991-04-18 00:00:00,5.7,14.46,3.62,19.92,8.08,1.2,10.5,388.46,8.31 -1991-04-19 00:00:00,5.66,14.13,3.59,19.88,7.98,1.17,10.42,384.2,8.35 -1991-04-22 00:00:00,5.63,14.57,3.54,19.7,7.92,1.11,10.3,380.95,8.35 -1991-04-23 00:00:00,5.73,14.57,3.52,19.67,7.86,1.11,10.34,381.76,8.45 -1991-04-24 00:00:00,5.88,14.4,3.5,19.65,7.71,1.12,10.38,382.76,8.45 -1991-04-25 00:00:00,5.73,13.86,3.45,19.61,7.8,1.1,10.18,379.25,8.21 -1991-04-26 00:00:00,5.63,13.89,3.47,19.49,7.79,1.1,10.22,379.02,8.26 -1991-04-29 00:00:00,5.68,13.8,3.38,19.04,7.78,1.07,9.67,373.66,8.21 -1991-04-30 00:00:00,5.71,13.03,3.42,18.7,7.76,1.08,10.1,375.34,8.26 -1991-05-01 00:00:00,5.92,11.2,3.5,18.88,7.9,1.1,10.42,380.29,8.38 -1991-05-02 00:00:00,6.01,11.61,3.5,19.22,7.74,1.1,10.26,380.52,8.28 -1991-05-03 00:00:00,5.97,11.61,3.51,18.81,7.74,1.11,10.06,380.8,8.22 -1991-05-06 00:00:00,6.05,11.91,3.52,18.99,7.72,1.12,10.14,380.08,8.17 -1991-05-07 00:00:00,5.99,12.0,3.53,18.71,7.73,1.11,10.02,377.32,8.09 -1991-05-08 00:00:00,5.97,11.79,3.52,19.06,7.69,1.12,10.06,378.51,8.18 -1991-05-09 00:00:00,6.0,12.03,3.56,19.45,7.82,1.15,10.22,383.25,8.37 -1991-05-10 00:00:00,6.04,12.14,3.44,18.99,7.66,1.12,10.02,375.74,8.13 -1991-05-13 00:00:00,5.86,12.5,3.45,19.45,7.64,1.13,10.22,376.76,8.07 -1991-05-14 00:00:00,5.74,12.68,3.42,19.47,7.58,1.11,10.02,371.62,7.9 -1991-05-15 00:00:00,5.63,11.97,3.42,18.87,7.53,1.07,9.9,368.57,7.92 -1991-05-16 00:00:00,5.67,11.61,3.43,19.12,7.59,1.08,10.02,372.19,8.09 -1991-05-17 00:00:00,5.57,11.14,3.45,19.06,7.42,1.08,9.94,372.39,8.14 -1991-05-20 00:00:00,5.63,10.51,3.49,18.96,7.52,1.08,10.06,372.28,8.18 -1991-05-21 00:00:00,5.72,10.75,3.51,18.64,7.72,1.11,10.3,375.35,8.28 -1991-05-22 00:00:00,5.74,10.99,3.45,19.22,7.77,1.17,10.3,376.19,8.28 -1991-05-23 00:00:00,5.66,10.72,3.49,19.22,7.72,1.2,10.02,374.96,8.25 -1991-05-24 00:00:00,5.73,10.9,3.53,19.29,7.64,1.2,10.06,377.49,8.23 -1991-05-28 00:00:00,5.99,10.93,3.58,19.31,7.78,1.21,10.22,381.94,8.23 -1991-05-29 00:00:00,6.09,11.17,3.6,19.12,7.72,1.2,10.18,382.79,8.25 -1991-05-30 00:00:00,6.04,11.32,3.69,19.17,7.59,1.2,10.02,386.96,8.21 -1991-05-31 00:00:00,6.02,11.17,3.76,19.49,7.47,1.2,9.94,389.83,8.18 -1991-06-03 00:00:00,6.06,11.7,3.77,19.54,7.29,1.22,9.78,388.06,8.27 -1991-06-04 00:00:00,6.09,11.67,3.74,19.29,7.32,1.23,9.82,387.74,8.21 -1991-06-05 00:00:00,6.05,11.4,3.68,18.96,7.3,1.22,9.71,385.09,8.13 -1991-06-06 00:00:00,5.91,11.08,3.66,18.92,7.29,1.21,9.82,383.63,8.18 -1991-06-07 00:00:00,5.82,10.96,3.6,18.73,7.15,1.2,9.74,379.43,8.07 -1991-06-10 00:00:00,5.76,10.93,3.62,18.8,7.15,1.21,9.62,378.57,8.14 -1991-06-11 00:00:00,5.68,10.6,3.66,18.78,7.16,1.21,9.7,381.05,8.21 -1991-06-12 00:00:00,5.66,10.07,3.61,18.64,7.03,1.21,9.58,376.65,8.09 -1991-06-13 00:00:00,5.66,10.01,3.64,18.48,7.0,1.21,9.54,377.63,8.13 -1991-06-14 00:00:00,5.71,9.77,3.68,18.44,7.05,1.24,9.82,382.29,8.18 -1991-06-17 00:00:00,5.83,9.98,3.63,18.28,7.03,1.24,9.82,380.13,8.07 -1991-06-18 00:00:00,5.88,10.01,3.63,18.53,6.99,1.22,9.66,378.59,8.0 -1991-06-19 00:00:00,5.88,9.92,3.6,18.55,6.9,1.13,9.5,375.09,8.0 -1991-06-20 00:00:00,5.88,9.98,3.6,18.21,7.0,1.1,9.54,375.42,8.16 -1991-06-21 00:00:00,5.85,9.98,3.65,18.3,7.05,1.12,9.54,377.75,8.21 -1991-06-24 00:00:00,5.7,9.92,3.59,18.07,6.93,1.07,9.43,370.94,8.16 -1991-06-25 00:00:00,5.64,10.07,3.58,18.25,6.91,1.08,9.15,370.65,8.21 -1991-06-26 00:00:00,5.63,10.22,3.57,18.11,6.83,1.1,9.23,371.59,8.32 -1991-06-27 00:00:00,5.74,10.1,3.63,17.93,6.94,1.11,9.27,374.4,8.28 -1991-06-28 00:00:00,5.71,9.86,3.6,17.84,6.89,1.12,9.23,371.16,8.16 -1991-07-01 00:00:00,5.65,10.1,3.64,18.07,6.97,1.17,9.27,377.92,8.41 -1991-07-02 00:00:00,5.81,10.04,3.65,18.21,6.84,1.12,9.46,377.47,8.25 -1991-07-03 00:00:00,5.74,10.25,3.6,18.02,6.76,1.05,9.35,373.33,8.06 -1991-07-05 00:00:00,5.7,10.84,3.59,18.11,6.97,1.01,9.27,374.08,8.07 -1991-07-08 00:00:00,5.78,11.11,3.64,18.46,7.02,1.1,9.46,377.94,8.21 -1991-07-09 00:00:00,5.74,11.14,3.63,18.28,7.06,1.11,9.5,376.11,8.09 -1991-07-10 00:00:00,5.75,11.23,3.61,18.14,7.13,1.07,9.11,375.74,8.06 -1991-07-11 00:00:00,5.87,11.11,3.65,18.05,7.18,1.08,9.11,376.97,8.13 -1991-07-12 00:00:00,5.96,11.11,3.66,18.25,7.19,1.11,9.23,380.25,8.25 -1991-07-15 00:00:00,6.05,10.81,3.66,18.23,7.16,1.14,9.5,382.39,8.3 -1991-07-16 00:00:00,6.04,10.39,3.59,17.75,7.23,1.11,9.62,381.54,8.28 -1991-07-17 00:00:00,5.92,10.1,3.49,17.68,7.13,1.11,9.46,381.18,8.41 -1991-07-18 00:00:00,6.05,10.66,3.56,18.05,7.25,1.1,9.46,385.37,8.41 -1991-07-19 00:00:00,6.11,10.93,3.58,18.46,7.23,1.11,9.35,384.22,8.37 -1991-07-22 00:00:00,6.05,10.93,3.56,18.73,7.24,1.11,9.23,382.88,8.35 -1991-07-23 00:00:00,6.12,10.69,3.51,18.48,7.18,1.09,9.23,379.42,8.21 -1991-07-24 00:00:00,5.98,10.69,3.47,18.51,7.15,1.07,9.43,378.64,8.27 -1991-07-25 00:00:00,6.0,10.75,3.53,18.46,7.22,1.08,9.46,380.96,8.3 -1991-07-26 00:00:00,6.01,10.66,3.54,18.46,7.25,1.16,9.39,380.93,8.25 -1991-07-29 00:00:00,5.95,10.81,3.54,18.62,7.4,1.15,9.5,383.15,8.32 -1991-07-30 00:00:00,5.99,11.05,3.56,18.67,7.49,1.19,10.02,386.69,8.35 -1991-07-31 00:00:00,6.01,10.99,3.56,18.6,7.55,1.2,10.14,387.81,8.34 -1991-08-01 00:00:00,5.95,11.67,3.55,18.6,7.5,1.2,10.1,387.12,8.34 -1991-08-02 00:00:00,5.91,11.88,3.54,18.44,7.55,1.2,10.06,387.18,8.25 -1991-08-05 00:00:00,5.77,11.52,3.5,18.55,7.51,1.18,9.98,385.06,8.2 -1991-08-06 00:00:00,5.81,11.76,3.54,18.66,7.63,1.22,10.26,390.62,8.39 -1991-08-07 00:00:00,5.91,11.97,3.59,18.4,7.65,1.24,10.34,390.56,8.36 -1991-08-08 00:00:00,5.75,12.0,3.59,18.45,7.6,1.29,10.34,389.32,8.25 -1991-08-09 00:00:00,5.82,12.06,3.58,18.38,7.61,1.32,10.18,387.12,8.17 -1991-08-12 00:00:00,5.82,12.29,3.57,18.33,7.55,1.36,10.26,388.02,8.18 -1991-08-13 00:00:00,5.84,12.71,3.56,18.4,7.61,1.35,10.22,389.62,8.22 -1991-08-14 00:00:00,5.74,13.04,3.55,18.31,7.53,1.35,10.42,389.9,8.13 -1991-08-15 00:00:00,5.73,12.65,3.53,18.29,7.55,1.33,10.46,389.33,8.17 -1991-08-16 00:00:00,5.74,12.65,3.5,17.94,7.39,1.34,10.22,385.58,8.17 -1991-08-19 00:00:00,5.63,12.02,3.42,17.66,7.21,1.31,9.78,376.47,8.18 -1991-08-20 00:00:00,5.5,12.14,3.43,17.8,7.23,1.32,10.06,379.43,8.17 -1991-08-21 00:00:00,5.57,12.8,3.54,17.78,7.48,1.38,10.5,390.59,8.27 -1991-08-22 00:00:00,5.65,12.92,3.55,17.54,7.55,1.38,10.46,391.33,8.31 -1991-08-23 00:00:00,5.91,12.62,3.63,17.64,7.63,1.4,10.62,394.17,8.38 -1991-08-26 00:00:00,5.96,12.62,3.63,17.68,7.65,1.4,10.5,393.85,8.31 -1991-08-27 00:00:00,5.9,12.86,3.6,17.71,7.61,1.39,10.46,393.06,8.33 -1991-08-28 00:00:00,5.93,12.68,3.64,17.57,7.69,1.4,10.58,396.64,8.45 -1991-08-29 00:00:00,5.88,12.62,3.63,17.75,7.7,1.4,10.5,396.47,8.36 -1991-08-30 00:00:00,5.89,12.62,3.64,18.01,7.69,1.4,10.3,395.43,8.27 -1991-09-03 00:00:00,5.83,12.5,3.6,18.22,7.62,1.36,10.02,392.15,8.24 -1991-09-04 00:00:00,5.78,12.26,3.58,18.33,7.55,1.35,9.9,389.97,8.22 -1991-09-05 00:00:00,5.78,12.14,3.51,18.26,7.48,1.32,9.5,389.14,8.34 -1991-09-06 00:00:00,5.74,12.26,3.45,18.47,7.44,1.32,9.27,389.1,8.38 -1991-09-09 00:00:00,5.68,12.68,3.43,18.78,7.4,1.32,9.5,388.57,8.36 -1991-09-10 00:00:00,5.64,11.94,3.42,18.52,7.33,1.31,9.3,384.56,8.33 -1991-09-11 00:00:00,5.69,12.02,3.42,18.84,7.31,1.34,9.46,385.09,8.36 -1991-09-12 00:00:00,5.65,12.06,3.39,19.33,7.44,1.4,9.54,387.34,8.36 -1991-09-13 00:00:00,5.63,11.58,3.3,19.12,7.38,1.36,9.42,383.59,8.29 -1991-09-16 00:00:00,5.73,11.25,3.39,19.26,7.47,1.36,9.3,385.78,8.47 -1991-09-17 00:00:00,5.7,11.67,3.36,19.5,7.43,1.38,9.3,385.5,8.43 -1991-09-18 00:00:00,5.7,11.94,3.37,19.59,7.4,1.39,9.34,386.94,8.41 -1991-09-19 00:00:00,5.67,11.85,3.38,19.5,7.42,1.41,9.42,387.56,8.43 -1991-09-20 00:00:00,5.62,12.06,3.4,19.38,7.34,1.42,9.3,387.92,8.38 -1991-09-23 00:00:00,5.52,11.79,3.38,19.45,7.37,1.39,9.3,385.92,8.33 -1991-09-24 00:00:00,5.43,11.97,3.42,19.68,7.51,1.44,9.22,387.71,8.45 -1991-09-25 00:00:00,5.4,12.02,3.37,19.52,7.43,1.44,9.1,386.88,8.43 -1991-09-26 00:00:00,5.47,11.91,3.38,19.5,7.41,1.46,9.06,386.49,8.34 -1991-09-27 00:00:00,5.43,11.67,3.37,19.01,7.33,1.44,9.06,385.9,8.34 -1991-09-30 00:00:00,5.44,11.79,3.4,19.26,7.32,1.46,9.1,387.86,8.45 -1991-10-01 00:00:00,5.36,12.08,3.42,19.08,7.35,1.45,9.26,389.2,8.56 -1991-10-02 00:00:00,5.17,11.85,3.45,18.8,7.25,1.42,9.3,388.26,8.56 -1991-10-03 00:00:00,5.05,11.37,3.39,18.4,7.22,1.43,9.18,384.47,8.45 -1991-10-04 00:00:00,4.98,11.49,3.35,18.26,7.18,1.44,9.1,381.25,8.4 -1991-10-07 00:00:00,4.96,11.46,3.29,18.38,7.17,1.45,9.18,379.5,8.41 -1991-10-08 00:00:00,5.09,11.49,3.28,18.22,7.19,1.46,9.26,380.67,8.54 -1991-10-09 00:00:00,5.17,11.43,3.2,18.08,7.14,1.47,9.22,376.8,8.43 -1991-10-10 00:00:00,5.22,11.37,3.29,18.54,7.15,1.47,9.22,380.55,8.56 -1991-10-11 00:00:00,5.2,11.55,3.26,18.57,7.15,1.47,9.18,381.45,8.54 -1991-10-14 00:00:00,5.16,11.88,3.31,18.82,7.21,1.51,9.26,386.47,8.65 -1991-10-15 00:00:00,5.18,12.5,3.43,19.38,7.28,1.5,9.26,391.01,8.65 -1991-10-16 00:00:00,5.44,12.74,3.49,18.89,7.34,1.49,9.14,392.8,8.59 -1991-10-17 00:00:00,5.47,12.47,3.5,18.57,7.44,1.46,9.02,391.92,8.66 -1991-10-18 00:00:00,5.45,13.1,3.5,18.66,7.54,1.47,8.98,392.5,8.73 -1991-10-21 00:00:00,5.44,13.04,3.48,18.64,7.36,1.49,8.91,390.02,8.7 -1991-10-22 00:00:00,5.44,12.98,3.48,18.31,7.72,1.5,8.67,387.83,8.68 -1991-10-23 00:00:00,5.36,12.65,3.53,18.31,7.81,1.48,8.94,387.94,8.65 -1991-10-24 00:00:00,5.31,12.41,3.48,18.26,7.69,1.48,8.87,385.07,8.59 -1991-10-25 00:00:00,5.27,12.2,3.39,18.22,7.69,1.47,8.87,384.2,8.61 -1991-10-28 00:00:00,5.29,12.26,3.44,18.26,7.83,1.48,8.94,389.52,8.77 -1991-10-29 00:00:00,5.33,12.32,3.47,18.38,7.88,1.49,9.1,391.48,8.75 -1991-10-30 00:00:00,5.44,11.85,3.43,18.64,7.89,1.55,9.14,392.96,8.68 -1991-10-31 00:00:00,5.43,12.26,3.38,18.26,7.88,1.54,9.1,392.45,8.66 -1991-11-01 00:00:00,5.4,12.14,3.35,18.29,7.9,1.52,9.18,391.32,8.59 -1991-11-04 00:00:00,5.36,11.85,3.36,18.26,8.0,1.49,9.38,390.28,8.75 -1991-11-05 00:00:00,5.41,11.61,3.33,18.19,7.97,1.53,9.22,388.71,8.72 -1991-11-06 00:00:00,5.36,11.43,3.36,18.19,7.94,1.56,9.14,389.97,8.78 -1991-11-07 00:00:00,5.43,11.85,3.36,18.8,7.96,1.55,9.38,393.72,8.7 -1991-11-08 00:00:00,5.39,12.68,3.37,18.87,7.95,1.56,9.26,392.89,8.63 -1991-11-11 00:00:00,5.36,12.8,3.36,18.84,8.12,1.6,9.26,393.12,8.65 -1991-11-12 00:00:00,5.29,12.98,3.39,18.7,8.24,1.64,9.42,396.74,8.65 -1991-11-13 00:00:00,5.3,12.89,3.41,18.61,8.16,1.65,9.38,397.41,8.65 -1991-11-14 00:00:00,5.3,13.04,3.45,18.82,8.22,1.62,9.54,397.15,8.58 -1991-11-15 00:00:00,5.11,11.91,3.3,18.12,7.84,1.56,9.1,382.62,8.22 -1991-11-18 00:00:00,5.14,12.44,3.36,18.3,8.05,1.59,9.5,385.24,8.36 -1991-11-19 00:00:00,4.88,12.23,3.34,18.16,7.92,1.58,9.3,379.42,8.47 -1991-11-20 00:00:00,4.99,12.05,3.28,17.97,7.84,1.58,9.18,378.53,8.38 -1991-11-21 00:00:00,5.07,12.17,3.27,17.95,7.92,1.59,9.38,380.06,8.43 -1991-11-22 00:00:00,4.98,12.23,3.25,17.83,7.89,1.57,9.22,376.14,8.29 -1991-11-25 00:00:00,4.94,12.23,3.22,17.9,7.84,1.57,9.18,375.34,8.35 -1991-11-26 00:00:00,4.95,12.29,3.22,18.42,7.82,1.55,9.5,377.96,8.36 -1991-11-27 00:00:00,4.86,12.17,3.21,17.74,7.96,1.56,9.46,376.55,8.38 -1991-11-29 00:00:00,5.01,12.11,3.17,17.41,8.01,1.59,9.46,375.22,8.42 -1991-12-02 00:00:00,4.96,12.35,3.22,17.36,8.21,1.66,9.78,381.4,8.52 -1991-12-03 00:00:00,5.09,12.05,3.19,17.17,8.28,1.66,9.7,380.96,8.4 -1991-12-04 00:00:00,5.01,12.05,3.14,16.94,8.42,1.67,9.7,380.07,8.31 -1991-12-05 00:00:00,4.96,11.93,3.08,16.99,8.32,1.67,9.66,377.39,8.2 -1991-12-06 00:00:00,5.04,11.64,3.16,16.75,8.53,1.71,9.66,379.1,8.2 -1991-12-09 00:00:00,4.92,11.73,3.2,16.02,8.4,1.67,9.78,378.26,8.06 -1991-12-10 00:00:00,4.75,11.73,3.21,16.23,8.68,1.67,9.86,377.9,8.09 -1991-12-11 00:00:00,4.86,11.7,3.25,16.52,8.53,1.65,9.86,377.7,8.15 -1991-12-12 00:00:00,4.92,11.79,3.29,16.68,8.63,1.67,10.06,381.55,8.27 -1991-12-13 00:00:00,4.92,12.03,3.35,16.56,8.69,1.67,9.98,384.47,8.33 -1991-12-16 00:00:00,4.95,12.05,3.35,16.35,8.83,1.67,10.06,384.46,8.31 -1991-12-17 00:00:00,4.8,12.05,3.38,16.09,8.87,1.67,10.18,382.74,8.33 -1991-12-18 00:00:00,4.84,12.35,3.37,16.23,8.83,1.68,10.26,383.48,8.36 -1991-12-19 00:00:00,4.97,12.11,3.36,15.97,8.87,1.68,10.5,382.52,8.43 -1991-12-20 00:00:00,5.09,11.99,3.45,16.14,9.02,1.69,10.62,387.04,8.49 -1991-12-23 00:00:00,5.31,12.29,3.56,16.61,9.21,1.75,10.58,396.82,8.4 -1991-12-24 00:00:00,5.5,12.47,3.65,16.61,9.19,1.74,10.54,399.33,8.25 -1991-12-26 00:00:00,5.48,13.1,3.71,16.61,9.35,1.77,10.78,404.84,8.24 -1991-12-27 00:00:00,5.6,13.13,3.66,16.82,9.46,1.81,10.82,406.46,8.36 -1991-12-30 00:00:00,5.5,13.55,3.8,17.01,9.6,1.81,10.95,415.14,8.4 -1991-12-31 00:00:00,5.51,13.46,3.78,16.75,9.52,1.82,10.86,417.09,8.74 -1992-01-02 00:00:00,5.48,14.2,3.78,16.99,9.33,1.87,10.86,417.26,8.61 -1992-01-03 00:00:00,5.54,14.08,3.77,17.01,9.29,1.85,11.03,419.34,8.63 -1992-01-06 00:00:00,5.49,13.84,3.75,17.36,9.38,1.91,10.86,417.96,8.56 -1992-01-07 00:00:00,5.49,14.11,3.73,17.81,9.5,1.96,10.86,417.4,8.51 -1992-01-08 00:00:00,5.5,14.44,3.72,17.39,9.68,2.03,11.31,418.1,8.4 -1992-01-09 00:00:00,5.4,14.86,3.67,17.17,9.66,2.08,11.31,417.61,8.35 -1992-01-10 00:00:00,5.38,14.86,3.68,17.1,9.56,2.05,10.91,415.1,8.43 -1992-01-13 00:00:00,5.29,14.8,3.72,16.99,9.56,2.08,11.07,414.34,8.51 -1992-01-14 00:00:00,5.35,15.4,3.77,17.39,9.45,2.1,11.19,420.44,8.65 -1992-01-15 00:00:00,5.75,15.16,3.81,17.95,9.01,2.15,11.19,420.77,8.54 -1992-01-16 00:00:00,5.82,14.98,3.85,17.97,8.7,2.09,10.82,418.21,8.49 -1992-01-17 00:00:00,5.91,15.46,3.93,18.14,8.92,2.07,10.82,418.86,8.6 -1992-01-20 00:00:00,5.92,15.28,3.98,17.93,8.73,2.01,10.58,416.36,8.61 -1992-01-21 00:00:00,5.67,14.59,3.85,17.48,8.66,1.95,10.54,412.64,8.74 -1992-01-22 00:00:00,5.76,15.16,3.93,18.0,8.94,2.05,10.58,418.13,8.54 -1992-01-23 00:00:00,5.67,15.4,3.9,17.6,8.87,2.05,10.62,414.96,8.47 -1992-01-24 00:00:00,5.69,15.42,3.87,17.53,8.92,2.04,10.58,415.48,8.65 -1992-01-27 00:00:00,5.74,15.4,3.87,17.65,8.83,1.97,10.54,414.99,8.69 -1992-01-28 00:00:00,5.77,15.57,3.86,17.55,8.77,1.98,10.74,414.96,8.67 -1992-01-29 00:00:00,5.72,15.1,3.82,17.29,8.59,2.04,10.5,410.34,8.52 -1992-01-30 00:00:00,5.69,15.22,3.78,17.27,8.81,2.02,10.86,411.62,8.47 -1992-01-31 00:00:00,5.53,15.46,3.72,16.94,8.94,1.97,10.82,408.78,8.36 -1992-02-03 00:00:00,5.56,15.69,3.75,17.2,8.81,2.05,10.74,409.53,8.49 -1992-02-04 00:00:00,5.58,15.69,3.8,17.36,8.94,2.04,10.82,413.85,8.54 -1992-02-05 00:00:00,5.52,15.78,3.83,17.17,8.98,2.08,10.54,413.84,8.42 -1992-02-06 00:00:00,5.48,15.3,3.83,17.14,8.98,2.07,10.54,413.82,8.51 -1992-02-07 00:00:00,5.52,15.28,3.82,17.02,8.82,2.06,10.34,411.09,8.49 -1992-02-10 00:00:00,5.62,15.07,3.82,17.12,8.86,2.04,10.22,413.77,8.48 -1992-02-11 00:00:00,5.68,15.01,3.8,17.21,8.71,2.01,10.34,413.76,8.44 -1992-02-12 00:00:00,5.75,15.57,3.85,17.57,8.84,2.06,10.54,417.13,8.53 -1992-02-13 00:00:00,5.66,15.34,3.82,17.31,8.59,2.01,10.22,413.69,8.46 -1992-02-14 00:00:00,5.84,15.33,3.81,17.12,8.43,1.94,10.18,412.48,8.46 -1992-02-18 00:00:00,6.08,15.01,3.81,17.09,8.15,1.94,9.86,407.38,8.3 -1992-02-19 00:00:00,6.18,14.83,3.87,17.09,8.23,1.88,10.1,408.26,8.31 -1992-02-20 00:00:00,6.12,15.45,3.97,17.12,8.33,1.92,10.5,413.9,8.42 -1992-02-21 00:00:00,6.02,15.54,3.97,17.14,8.3,1.87,10.34,411.43,8.4 -1992-02-24 00:00:00,6.05,15.81,3.96,17.05,8.41,1.88,10.46,412.27,8.37 -1992-02-25 00:00:00,5.89,16.38,3.92,16.83,8.43,1.9,10.26,410.45,8.31 -1992-02-26 00:00:00,5.96,16.71,3.92,16.83,8.64,2.0,10.46,415.35,8.37 -1992-02-27 00:00:00,5.98,16.38,3.9,16.74,8.59,2.04,10.42,413.86,8.31 -1992-02-28 00:00:00,5.98,16.14,3.88,16.57,8.45,2.02,10.34,412.7,8.3 -1992-03-02 00:00:00,6.1,16.08,3.93,16.69,8.42,2.01,10.42,412.45,8.13 -1992-03-03 00:00:00,6.36,15.87,3.9,16.83,8.33,2.02,10.38,412.85,8.08 -1992-03-04 00:00:00,6.24,15.54,3.86,16.67,8.16,2.01,10.38,409.33,7.99 -1992-03-05 00:00:00,6.08,15.19,3.87,16.52,8.12,1.99,10.22,406.51,8.08 -1992-03-06 00:00:00,5.99,15.3,3.85,16.47,8.02,1.94,10.18,404.44,8.08 -1992-03-09 00:00:00,5.85,15.25,3.85,16.67,8.18,1.95,10.18,405.21,8.06 -1992-03-10 00:00:00,5.83,15.25,3.87,16.76,8.06,1.99,10.18,406.89,8.04 -1992-03-11 00:00:00,5.78,15.13,3.84,16.74,8.03,1.97,10.26,404.03,8.04 -1992-03-12 00:00:00,5.75,15.01,3.84,17.0,8.01,1.98,10.18,403.89,8.2 -1992-03-13 00:00:00,5.96,15.1,3.88,17.09,8.01,1.98,10.26,405.84,8.3 -1992-03-16 00:00:00,6.15,15.16,3.88,16.93,8.12,2.03,10.3,406.39,8.26 -1992-03-17 00:00:00,6.17,15.04,3.91,16.71,8.13,2.1,10.46,409.58,8.26 -1992-03-18 00:00:00,6.06,15.25,3.9,16.69,8.02,2.07,10.42,409.15,8.09 -1992-03-19 00:00:00,6.07,15.07,3.89,16.38,8.03,2.09,10.38,409.8,8.04 -1992-03-20 00:00:00,6.07,15.13,3.91,16.43,8.01,2.1,10.58,411.3,7.95 -1992-03-23 00:00:00,6.08,15.07,3.89,16.33,7.9,2.1,10.54,409.91,8.02 -1992-03-24 00:00:00,6.13,15.54,3.87,16.26,8.09,2.09,10.42,408.88,8.0 -1992-03-25 00:00:00,6.25,15.42,3.87,16.24,8.13,2.1,10.62,407.52,7.99 -1992-03-26 00:00:00,6.29,15.3,3.82,16.05,8.18,2.05,10.7,407.86,8.09 -1992-03-27 00:00:00,6.11,14.59,3.79,15.88,8.03,1.99,11.07,403.5,8.0 -1992-03-30 00:00:00,6.09,13.9,3.78,15.9,7.98,1.96,10.99,403.0,7.99 -1992-03-31 00:00:00,6.08,13.93,3.77,15.93,8.14,1.94,11.03,403.69,7.95 -1992-04-01 00:00:00,6.07,14.11,3.8,15.81,8.19,1.97,11.19,404.23,8.0 -1992-04-02 00:00:00,6.08,14.05,3.74,15.69,8.1,1.92,11.15,400.5,7.95 -1992-04-03 00:00:00,5.87,14.11,3.72,15.59,8.22,1.92,11.27,401.55,8.11 -1992-04-06 00:00:00,5.97,14.53,3.76,15.85,8.15,1.99,11.11,405.59,8.39 -1992-04-07 00:00:00,5.9,13.69,3.69,15.71,8.0,1.9,11.03,398.06,8.22 -1992-04-08 00:00:00,5.78,13.36,3.62,16.19,8.04,1.92,11.07,394.5,8.31 -1992-04-09 00:00:00,5.83,13.69,3.72,16.24,8.15,1.96,11.27,400.64,8.31 -1992-04-10 00:00:00,5.87,13.27,3.78,16.4,8.41,1.9,11.39,404.29,8.37 -1992-04-13 00:00:00,6.36,13.51,3.74,16.69,8.43,1.92,11.39,406.08,8.22 -1992-04-14 00:00:00,6.19,14.05,3.82,16.83,8.53,1.92,11.43,412.39,8.37 -1992-04-15 00:00:00,6.44,14.47,3.88,16.88,8.39,2.11,11.39,416.28,8.57 -1992-04-16 00:00:00,6.61,14.11,3.93,16.9,8.29,2.09,11.31,416.04,8.53 -1992-04-20 00:00:00,6.71,13.57,3.92,17.07,8.08,1.93,11.15,410.18,8.51 -1992-04-21 00:00:00,6.57,13.45,3.87,17.17,8.01,1.9,11.15,410.26,8.59 -1992-04-22 00:00:00,6.47,13.78,3.84,17.19,7.76,1.93,11.07,409.81,8.42 -1992-04-23 00:00:00,6.51,13.63,3.81,17.02,7.58,1.9,11.15,411.6,8.6 -1992-04-24 00:00:00,6.61,13.51,3.77,16.81,7.69,1.84,10.95,409.02,8.55 -1992-04-27 00:00:00,6.38,13.33,3.77,16.81,7.81,1.85,10.91,408.45,8.53 -1992-04-28 00:00:00,6.49,12.97,3.78,16.88,7.87,1.78,11.23,409.11,8.6 -1992-04-29 00:00:00,6.47,13.63,3.77,16.81,7.89,1.82,11.43,412.02,8.6 -1992-04-30 00:00:00,6.71,14.38,3.81,17.31,7.92,1.81,11.75,414.95,8.71 -1992-05-01 00:00:00,6.6,14.17,3.77,17.29,7.99,1.86,11.67,412.53,8.6 -1992-05-04 00:00:00,6.57,14.47,3.84,17.64,8.13,1.87,11.75,416.91,8.71 -1992-05-05 00:00:00,6.55,14.47,3.83,17.91,8.11,1.91,11.67,416.84,8.69 -1992-05-06 00:00:00,6.47,14.77,3.83,17.81,7.93,1.9,11.55,416.79,8.62 -1992-05-07 00:00:00,6.56,14.53,3.82,18.12,7.99,1.88,11.59,415.85,8.62 -1992-05-08 00:00:00,6.57,14.83,3.85,18.0,7.96,1.87,11.63,416.05,8.65 -1992-05-11 00:00:00,6.77,14.89,3.94,18.14,8.06,1.87,11.67,418.49,8.75 -1992-05-12 00:00:00,6.71,14.89,3.93,18.07,7.93,1.87,11.55,416.29,8.65 -1992-05-13 00:00:00,6.75,15.01,3.9,17.85,7.98,1.85,11.75,416.45,8.75 -1992-05-14 00:00:00,6.68,14.68,3.87,17.73,7.86,1.81,11.75,413.14,8.82 -1992-05-15 00:00:00,6.56,14.5,3.84,17.71,7.81,1.8,11.71,410.09,8.71 -1992-05-18 00:00:00,6.7,14.44,3.82,17.54,7.87,1.85,11.63,412.81,8.78 -1992-05-19 00:00:00,6.72,14.2,3.89,17.88,7.99,1.87,11.59,416.37,8.82 -1992-05-20 00:00:00,6.67,14.35,3.86,17.71,7.89,1.91,11.67,415.39,8.71 -1992-05-21 00:00:00,6.65,14.14,3.82,17.68,7.88,1.91,11.51,412.6,8.76 -1992-05-22 00:00:00,6.67,14.23,3.81,17.73,7.96,1.9,11.59,414.02,8.89 -1992-05-26 00:00:00,6.7,14.17,3.74,17.49,7.73,1.89,11.23,411.41,9.41 -1992-05-27 00:00:00,6.67,14.41,3.77,17.56,7.92,1.88,11.31,412.17,9.08 -1992-05-28 00:00:00,6.74,14.23,3.84,17.61,8.16,1.95,11.59,416.74,9.11 -1992-05-29 00:00:00,6.73,14.29,3.8,17.54,8.12,1.98,11.75,415.35,8.91 -1992-06-01 00:00:00,6.83,13.78,3.8,17.51,8.22,2.03,11.59,417.3,9.02 -1992-06-02 00:00:00,6.84,13.54,3.78,17.51,7.75,2.01,11.67,413.5,9.02 -1992-06-03 00:00:00,6.93,12.97,3.81,17.34,7.56,2.01,11.59,414.59,9.24 -1992-06-04 00:00:00,6.9,13.06,3.82,17.2,7.55,2.01,11.47,413.26,9.26 -1992-06-05 00:00:00,6.85,13.15,3.88,17.46,7.56,1.98,11.47,413.48,9.22 -1992-06-08 00:00:00,6.85,13.0,3.82,17.59,7.59,1.94,11.39,413.36,9.19 -1992-06-09 00:00:00,6.74,12.94,3.81,17.51,7.57,1.88,11.35,410.06,9.33 -1992-06-10 00:00:00,6.64,12.88,3.8,17.42,7.38,1.84,11.27,407.25,9.24 -1992-06-11 00:00:00,6.57,12.91,3.85,17.78,7.57,1.77,11.51,409.05,9.3 -1992-06-12 00:00:00,6.63,13.09,3.82,17.97,7.55,1.84,11.63,409.76,9.1 -1992-06-15 00:00:00,6.62,12.61,3.83,18.19,7.42,1.86,11.47,410.29,9.13 -1992-06-16 00:00:00,6.62,11.8,3.88,18.0,7.4,1.79,11.43,408.32,9.13 -1992-06-17 00:00:00,6.68,11.38,3.81,17.9,7.23,1.78,11.39,402.26,9.13 -1992-06-18 00:00:00,6.43,10.84,3.81,18.26,7.34,1.77,11.23,400.96,9.02 -1992-06-19 00:00:00,6.37,10.72,3.81,18.36,7.44,1.81,11.35,403.67,9.17 -1992-06-22 00:00:00,6.39,10.6,3.82,18.41,7.57,1.82,11.15,403.4,9.11 -1992-06-23 00:00:00,6.35,10.84,3.83,18.53,7.53,1.81,11.23,404.04,9.02 -1992-06-24 00:00:00,6.38,11.02,3.83,18.87,7.34,1.77,11.11,403.84,9.04 -1992-06-25 00:00:00,6.42,10.93,3.87,18.77,7.34,1.72,11.15,403.12,9.02 -1992-06-26 00:00:00,6.39,10.84,3.91,18.79,7.51,1.64,11.23,403.45,9.04 -1992-06-29 00:00:00,6.49,11.2,3.96,19.06,7.63,1.77,11.47,408.94,9.15 -1992-06-30 00:00:00,6.58,11.5,3.9,18.91,7.51,1.72,11.27,408.14,9.1 -1992-07-01 00:00:00,6.73,11.74,3.93,18.99,7.65,1.77,11.39,412.88,9.08 -1992-07-02 00:00:00,6.51,11.08,3.87,18.72,7.65,1.72,11.63,411.77,9.1 -1992-07-06 00:00:00,6.37,11.08,3.88,18.96,7.84,1.71,11.63,413.84,9.13 -1992-07-07 00:00:00,6.21,10.6,3.81,18.7,7.76,1.67,11.63,409.16,9.08 -1992-07-08 00:00:00,6.29,10.96,3.86,18.91,7.93,1.69,11.71,410.28,9.08 -1992-07-09 00:00:00,6.41,10.99,3.9,18.84,7.91,1.69,11.88,414.23,9.06 -1992-07-10 00:00:00,6.33,10.96,3.83,18.87,7.86,1.71,11.88,414.62,9.04 -1992-07-13 00:00:00,6.37,11.26,3.85,18.91,7.86,1.72,11.83,414.87,8.98 -1992-07-14 00:00:00,6.43,11.38,3.9,18.91,7.76,1.75,11.75,417.68,9.11 -1992-07-15 00:00:00,6.24,11.5,3.91,19.18,7.8,1.76,11.63,417.1,9.02 -1992-07-16 00:00:00,6.26,11.68,3.88,19.37,7.84,1.77,11.63,417.54,9.19 -1992-07-17 00:00:00,6.31,10.78,3.88,18.36,7.78,1.73,11.63,415.62,9.13 -1992-07-20 00:00:00,6.21,10.72,3.87,17.95,7.7,1.7,11.51,413.75,9.13 -1992-07-21 00:00:00,6.18,10.96,3.86,18.12,7.65,1.76,11.88,413.76,9.08 -1992-07-22 00:00:00,6.16,10.6,3.83,17.88,7.72,1.72,11.63,410.93,9.11 -1992-07-23 00:00:00,6.17,10.72,3.85,17.92,7.67,1.74,11.79,412.08,9.26 -1992-07-24 00:00:00,6.26,10.99,3.74,17.92,7.72,1.79,11.88,411.6,9.17 -1992-07-27 00:00:00,6.28,10.84,3.76,17.85,7.91,1.79,11.71,411.54,9.11 -1992-07-28 00:00:00,6.38,11.14,3.8,18.12,8.18,1.82,12.12,417.52,9.13 -1992-07-29 00:00:00,6.54,11.32,3.86,18.24,8.22,1.82,12.12,422.23,9.11 -1992-07-30 00:00:00,6.43,11.32,3.82,18.43,8.33,1.8,11.96,423.92,9.32 -1992-07-31 00:00:00,6.39,11.2,3.83,18.31,8.26,1.79,12.08,424.21,9.33 -1992-08-03 00:00:00,6.35,10.96,3.77,18.33,8.39,1.81,12.08,425.09,9.44 -1992-08-04 00:00:00,6.27,10.9,3.78,18.21,8.35,1.81,12.12,424.36,9.55 -1992-08-05 00:00:00,6.21,10.72,3.75,17.71,8.35,1.77,12.12,422.19,9.41 -1992-08-06 00:00:00,6.13,10.54,3.79,17.28,8.35,1.76,12.08,420.59,9.39 -1992-08-07 00:00:00,6.13,10.39,3.78,17.06,8.37,1.74,11.96,418.88,9.44 -1992-08-10 00:00:00,6.05,10.57,3.79,17.33,8.37,1.74,12.08,419.42,9.57 -1992-08-11 00:00:00,5.97,10.42,3.8,17.23,8.24,1.75,12.16,418.9,9.57 -1992-08-12 00:00:00,5.96,10.57,3.76,17.31,8.2,1.74,12.32,417.78,9.42 -1992-08-13 00:00:00,5.92,10.72,3.77,17.26,8.17,1.74,12.44,417.73,9.53 -1992-08-14 00:00:00,5.96,10.72,3.78,17.31,8.36,1.74,12.44,419.91,9.51 -1992-08-17 00:00:00,5.93,10.75,3.81,17.36,8.51,1.71,12.48,420.74,9.46 -1992-08-18 00:00:00,5.91,10.75,3.84,17.23,8.58,1.71,12.44,421.34,9.57 -1992-08-19 00:00:00,5.91,10.69,3.81,16.96,8.53,1.7,12.2,418.19,9.64 -1992-08-20 00:00:00,5.92,10.75,3.81,16.82,8.47,1.73,12.4,418.26,9.72 -1992-08-21 00:00:00,5.64,10.72,3.76,16.84,8.15,1.71,12.16,414.85,9.4 -1992-08-24 00:00:00,5.55,10.39,3.71,16.67,8.28,1.69,12.04,410.72,9.55 -1992-08-25 00:00:00,5.58,10.66,3.71,17.06,8.28,1.73,12.16,411.61,9.48 -1992-08-26 00:00:00,5.62,10.63,3.69,16.91,8.51,1.76,12.24,413.51,9.51 -1992-08-27 00:00:00,5.62,10.69,3.72,17.11,8.49,1.81,12.24,413.53,9.46 -1992-08-28 00:00:00,5.78,10.81,3.68,17.09,8.43,1.83,12.24,414.84,9.53 -1992-08-31 00:00:00,5.63,11.05,3.71,16.96,8.32,1.83,12.12,414.03,9.55 -1992-09-01 00:00:00,5.68,11.17,3.72,17.16,8.49,1.83,12.04,416.07,9.57 -1992-09-02 00:00:00,5.92,11.65,3.73,17.14,8.51,1.85,11.96,417.98,9.55 -1992-09-03 00:00:00,5.88,11.47,3.74,16.96,8.87,1.88,12.28,417.98,9.25 -1992-09-04 00:00:00,5.8,11.35,3.74,16.84,8.83,1.87,12.2,417.08,9.29 -1992-09-08 00:00:00,5.71,11.47,3.71,16.87,8.85,1.88,12.24,414.44,9.29 -1992-09-09 00:00:00,5.82,11.77,3.73,17.01,8.76,1.92,12.24,416.36,9.33 -1992-09-10 00:00:00,6.04,11.83,3.77,17.14,8.83,1.94,12.32,419.95,9.35 -1992-09-11 00:00:00,5.95,11.44,3.76,17.23,8.72,1.93,12.32,419.58,9.35 -1992-09-14 00:00:00,6.12,11.89,3.88,17.31,8.72,2.01,12.44,425.27,9.33 -1992-09-15 00:00:00,5.95,11.59,3.87,16.74,8.51,2.0,12.4,419.77,9.27 -1992-09-16 00:00:00,6.0,11.29,3.91,16.28,8.58,1.97,12.44,419.92,9.38 -1992-09-17 00:00:00,5.95,11.05,3.96,16.4,8.51,1.99,12.6,419.93,9.38 -1992-09-18 00:00:00,5.97,11.17,3.99,16.35,8.66,1.96,12.52,422.93,9.51 -1992-09-21 00:00:00,5.97,11.17,3.96,16.52,8.66,1.94,12.48,422.14,9.53 -1992-09-22 00:00:00,5.9,10.99,3.9,16.3,8.53,1.91,12.0,417.14,9.46 -1992-09-23 00:00:00,5.85,11.41,3.92,16.38,8.6,1.94,12.04,417.44,9.53 -1992-09-24 00:00:00,5.91,11.11,3.93,16.16,8.51,1.97,12.24,418.47,9.48 -1992-09-25 00:00:00,5.79,10.93,3.93,16.11,8.03,1.93,12.12,414.35,9.44 -1992-09-28 00:00:00,5.82,10.75,4.0,16.21,8.01,1.89,12.28,416.62,9.61 -1992-09-29 00:00:00,5.72,10.78,3.94,15.86,8.03,1.93,12.28,416.8,9.5 -1992-09-30 00:00:00,5.78,10.84,3.95,15.81,7.94,1.98,12.28,417.8,9.5 -1992-10-01 00:00:00,5.71,10.63,3.93,15.69,7.88,1.96,12.69,416.29,9.48 -1992-10-02 00:00:00,5.62,10.51,3.82,15.37,7.73,1.93,12.48,410.47,9.4 -1992-10-05 00:00:00,5.59,10.45,3.8,15.45,7.75,2.01,12.36,407.57,9.29 -1992-10-06 00:00:00,5.63,10.75,3.76,15.62,7.58,2.03,12.24,407.18,9.24 -1992-10-07 00:00:00,5.6,10.51,3.72,15.35,7.67,1.99,12.12,404.25,9.2 -1992-10-08 00:00:00,5.6,10.45,3.81,15.54,7.92,2.05,12.28,407.75,9.35 -1992-10-09 00:00:00,5.59,10.42,3.79,15.37,7.88,2.02,12.08,402.66,9.16 -1992-10-12 00:00:00,5.66,10.57,3.8,15.37,8.11,2.06,12.28,407.44,9.14 -1992-10-13 00:00:00,5.75,10.9,3.78,15.42,8.11,2.07,12.52,409.3,9.18 -1992-10-14 00:00:00,5.69,11.05,3.79,15.28,8.09,2.05,12.65,409.37,9.24 -1992-10-15 00:00:00,5.6,10.93,3.79,14.27,8.26,2.08,12.77,409.6,9.33 -1992-10-16 00:00:00,5.75,11.77,3.85,13.86,8.22,2.1,12.89,411.73,9.38 -1992-10-19 00:00:00,5.84,11.77,3.85,13.41,8.22,2.16,12.97,414.98,9.4 -1992-10-20 00:00:00,5.85,11.8,3.86,13.39,8.3,2.16,13.01,415.48,9.31 -1992-10-21 00:00:00,5.92,11.65,3.84,13.41,8.49,2.21,13.01,415.67,9.31 -1992-10-22 00:00:00,5.98,11.71,3.85,13.41,8.47,2.2,12.97,414.9,9.22 -1992-10-23 00:00:00,5.97,11.71,3.83,13.54,8.3,2.18,12.77,414.1,9.22 -1992-10-26 00:00:00,6.03,12.37,3.88,13.22,8.36,2.21,12.77,418.16,9.2 -1992-10-27 00:00:00,5.93,12.37,3.87,12.88,8.28,2.16,12.93,418.49,9.33 -1992-10-28 00:00:00,6.09,12.55,3.92,13.14,8.34,2.17,13.01,420.13,9.29 -1992-10-29 00:00:00,6.1,12.79,3.91,12.93,8.36,2.21,12.93,420.86,9.24 -1992-10-30 00:00:00,6.08,12.61,3.87,13.1,8.43,2.18,12.93,418.68,9.11 -1992-11-02 00:00:00,6.09,12.55,3.96,13.49,8.55,2.2,13.05,422.75,8.96 -1992-11-03 00:00:00,6.1,12.49,3.94,13.54,8.38,2.17,12.93,419.92,8.84 -1992-11-04 00:00:00,6.08,12.61,3.96,13.37,8.28,2.17,12.77,417.11,8.9 -1992-11-05 00:00:00,6.04,13.21,3.95,13.13,8.13,2.26,12.6,418.34,8.92 -1992-11-06 00:00:00,6.04,13.39,3.91,13.21,8.28,2.28,12.77,417.58,8.76 -1992-11-09 00:00:00,5.99,13.27,3.94,13.46,8.3,2.26,12.85,418.59,8.8 -1992-11-10 00:00:00,5.93,13.51,3.9,13.13,8.36,2.28,12.93,418.62,8.86 -1992-11-11 00:00:00,5.92,13.63,3.96,12.96,8.53,2.3,13.25,422.2,8.8 -1992-11-12 00:00:00,5.95,13.67,3.97,12.78,8.55,2.3,13.09,422.87,8.84 -1992-11-13 00:00:00,5.83,13.51,3.98,12.93,8.45,2.29,13.13,422.43,8.92 -1992-11-16 00:00:00,5.67,13.79,3.94,12.93,8.42,2.28,13.13,420.68,8.86 -1992-11-17 00:00:00,5.62,13.27,3.94,12.81,8.45,2.21,13.29,419.27,8.84 -1992-11-18 00:00:00,5.72,13.88,3.97,12.59,8.53,2.26,13.58,422.85,9.03 -1992-11-19 00:00:00,5.74,14.0,3.94,12.21,8.51,2.31,13.5,423.61,9.03 -1992-11-20 00:00:00,5.83,13.82,4.04,12.41,8.55,2.33,13.78,426.65,9.14 -1992-11-23 00:00:00,5.83,13.63,4.14,12.61,8.51,2.17,13.54,425.12,8.99 -1992-11-24 00:00:00,5.92,13.82,4.17,12.93,8.7,2.25,13.42,427.59,8.97 -1992-11-25 00:00:00,5.97,13.57,4.18,13.03,8.7,2.24,13.29,429.19,9.01 -1992-11-27 00:00:00,6.02,13.57,4.18,13.16,8.64,2.25,13.29,430.16,8.95 -1992-11-30 00:00:00,6.15,13.84,4.2,13.61,8.53,2.29,13.21,431.35,8.95 -1992-12-01 00:00:00,6.23,14.03,4.18,13.51,8.53,2.29,13.21,430.78,8.88 -1992-12-02 00:00:00,6.18,13.78,4.21,13.53,8.47,2.23,13.5,429.89,8.8 -1992-12-03 00:00:00,6.14,13.84,4.15,13.41,8.51,2.25,13.37,429.91,8.84 -1992-12-04 00:00:00,6.15,13.7,4.2,13.36,8.66,2.25,13.58,432.06,9.01 -1992-12-07 00:00:00,6.15,13.9,4.21,13.13,8.8,2.29,13.62,435.31,9.03 -1992-12-08 00:00:00,6.2,14.0,4.25,13.03,8.8,2.27,13.82,436.99,9.09 -1992-12-09 00:00:00,6.39,13.88,4.27,12.49,8.68,2.26,13.78,435.65,9.12 -1992-12-10 00:00:00,6.32,13.78,4.24,12.31,8.72,2.19,13.62,434.64,9.22 -1992-12-11 00:00:00,6.3,13.84,4.26,12.44,8.64,2.12,13.78,433.73,9.16 -1992-12-14 00:00:00,6.23,13.78,4.23,12.54,8.68,2.14,13.82,432.84,9.1 -1992-12-15 00:00:00,6.24,13.57,4.28,11.19,8.66,2.12,13.9,432.57,9.2 -1992-12-16 00:00:00,6.23,13.24,4.25,10.34,8.74,2.14,13.7,431.52,9.2 -1992-12-17 00:00:00,6.25,13.7,4.34,10.57,8.93,2.21,13.66,435.43,9.33 -1992-12-18 00:00:00,6.32,14.03,4.41,10.24,9.12,2.21,13.78,441.28,9.46 -1992-12-21 00:00:00,6.3,14.36,4.45,9.75,9.04,2.22,13.86,440.7,9.46 -1992-12-22 00:00:00,6.27,14.6,4.42,10.32,9.0,2.15,13.82,440.31,9.39 -1992-12-23 00:00:00,6.25,14.39,4.39,10.22,8.74,2.14,13.78,439.03,9.31 -1992-12-24 00:00:00,6.23,14.21,4.4,10.52,8.72,2.14,13.74,439.77,9.35 -1992-12-28 00:00:00,6.18,14.33,4.42,10.32,8.57,2.15,13.9,439.15,9.4 -1992-12-29 00:00:00,6.19,14.36,4.39,9.92,8.53,2.12,13.7,437.98,9.27 -1992-12-30 00:00:00,6.29,14.15,4.41,9.99,8.59,2.11,13.7,438.82,9.24 -1992-12-31 00:00:00,6.28,14.39,4.35,10.04,8.55,2.1,13.5,435.71,9.2 -1993-01-04 00:00:00,6.4,14.03,4.35,9.99,8.38,2.09,13.38,435.38,9.24 -1993-01-05 00:00:00,6.41,14.27,4.4,9.75,8.19,2.12,13.25,434.34,9.33 -1993-01-06 00:00:00,6.37,14.87,4.38,9.57,7.94,2.19,13.05,434.52,9.29 -1993-01-07 00:00:00,6.36,14.69,4.37,9.37,7.73,2.14,12.68,430.73,9.27 -1993-01-08 00:00:00,6.18,14.99,4.36,9.27,7.92,2.14,12.89,429.05,9.12 -1993-01-11 00:00:00,6.21,15.44,4.32,9.52,7.92,2.19,12.89,430.95,9.1 -1993-01-12 00:00:00,6.12,14.81,4.33,9.72,7.94,2.2,13.05,431.04,9.03 -1993-01-13 00:00:00,6.02,15.29,4.31,9.52,7.92,2.24,13.05,433.03,9.07 -1993-01-14 00:00:00,6.02,15.65,4.32,9.72,7.83,2.24,13.25,435.94,9.09 -1993-01-15 00:00:00,6.1,14.51,4.3,9.62,7.94,2.2,13.5,437.15,9.05 -1993-01-18 00:00:00,6.1,14.33,4.3,9.87,7.92,2.19,13.5,436.84,8.93 -1993-01-19 00:00:00,6.04,14.39,4.28,9.65,7.68,2.17,13.38,435.13,8.86 -1993-01-20 00:00:00,6.03,14.45,4.2,9.35,7.75,2.17,13.29,433.37,8.8 -1993-01-21 00:00:00,6.06,14.45,4.25,9.25,7.79,2.2,13.38,435.49,8.75 -1993-01-22 00:00:00,6.16,14.33,4.29,9.7,7.77,2.19,13.34,436.11,8.75 -1993-01-25 00:00:00,6.24,14.45,4.32,9.75,7.62,2.17,13.34,440.01,9.12 -1993-01-26 00:00:00,6.24,14.63,4.33,9.77,7.39,2.16,13.58,439.95,9.22 -1993-01-27 00:00:00,6.35,14.51,4.3,9.89,7.49,2.12,13.78,438.11,9.1 -1993-01-28 00:00:00,6.51,14.42,4.35,10.02,7.43,2.14,13.62,438.66,9.27 -1993-01-29 00:00:00,6.52,14.33,4.38,10.27,7.45,2.12,13.62,438.78,9.2 -1993-02-01 00:00:00,6.45,14.75,4.39,10.49,7.45,2.15,13.74,442.52,9.25 -1993-02-02 00:00:00,6.5,14.51,4.32,10.39,7.37,2.19,13.58,442.55,9.37 -1993-02-03 00:00:00,6.52,14.45,4.38,10.19,7.66,2.17,13.5,447.2,9.4 -1993-02-04 00:00:00,6.7,14.33,4.41,10.35,7.73,2.09,13.5,449.56,9.44 -1993-02-05 00:00:00,6.84,13.78,4.42,10.48,7.62,2.19,13.17,448.93,9.42 -1993-02-08 00:00:00,6.74,13.6,4.41,10.66,7.6,2.11,13.13,447.85,9.57 -1993-02-09 00:00:00,6.63,13.7,4.41,10.76,7.6,2.06,12.81,445.33,9.51 -1993-02-10 00:00:00,6.61,13.42,4.41,10.53,7.74,2.1,12.93,446.23,9.5 -1993-02-11 00:00:00,6.62,13.27,4.39,10.3,7.66,2.09,13.21,447.66,9.5 -1993-02-12 00:00:00,6.52,13.0,4.32,10.23,7.66,2.05,12.85,444.58,9.4 -1993-02-16 00:00:00,6.33,12.79,4.22,10.08,7.26,1.97,12.85,433.91,9.46 -1993-02-17 00:00:00,6.41,13.0,4.2,10.18,7.15,1.97,13.13,433.3,9.4 -1993-02-18 00:00:00,6.38,13.27,4.16,10.18,7.06,2.0,13.01,431.9,9.42 -1993-02-19 00:00:00,6.27,13.27,4.18,10.18,6.92,1.96,13.01,434.22,9.78 -1993-02-22 00:00:00,6.26,13.3,4.23,10.33,6.66,1.88,12.93,435.24,9.82 -1993-02-23 00:00:00,6.28,13.09,4.25,10.3,6.83,1.95,13.09,434.8,9.67 -1993-02-24 00:00:00,6.33,12.94,4.28,10.45,7.19,2.06,13.13,440.87,9.67 -1993-02-25 00:00:00,6.23,13.21,4.3,10.83,7.09,2.07,12.89,442.34,9.69 -1993-02-26 00:00:00,6.18,12.79,4.28,10.96,7.23,2.05,12.97,443.38,9.69 -1993-03-01 00:00:00,6.1,12.85,4.24,11.03,7.3,2.0,12.77,442.01,9.72 -1993-03-02 00:00:00,6.18,13.09,4.35,10.93,7.4,2.08,13.17,447.9,9.82 -1993-03-03 00:00:00,6.16,13.18,4.39,11.13,7.23,2.08,13.34,449.26,9.74 -1993-03-04 00:00:00,6.04,13.27,4.36,11.06,7.04,2.06,13.29,447.34,9.8 -1993-03-05 00:00:00,6.16,13.27,4.39,11.13,6.87,2.03,13.46,446.11,9.63 -1993-03-08 00:00:00,6.35,13.63,4.48,11.31,7.21,2.05,13.87,454.71,9.82 -1993-03-09 00:00:00,6.47,13.69,4.47,11.41,7.34,2.07,13.74,454.4,9.76 -1993-03-10 00:00:00,6.34,13.69,4.5,11.26,7.62,2.09,13.74,456.33,9.72 -1993-03-11 00:00:00,6.25,13.73,4.48,11.06,7.51,2.12,13.7,453.72,9.65 -1993-03-12 00:00:00,6.13,13.57,4.43,11.21,7.43,2.19,13.25,449.83,9.53 -1993-03-15 00:00:00,6.24,13.75,4.43,11.08,7.4,2.15,13.25,451.43,9.63 -1993-03-16 00:00:00,6.23,13.63,4.45,11.11,7.15,2.15,13.34,451.37,9.74 -1993-03-17 00:00:00,6.23,13.3,4.46,10.98,6.87,2.1,13.38,448.31,9.76 -1993-03-18 00:00:00,6.25,13.15,4.53,11.01,6.85,2.09,13.54,451.89,9.87 -1993-03-19 00:00:00,6.18,12.97,4.54,10.83,6.68,2.07,13.7,450.18,9.84 -1993-03-22 00:00:00,6.18,12.85,4.55,10.81,6.72,2.05,13.62,448.88,9.87 -1993-03-23 00:00:00,6.08,12.73,4.51,10.93,6.92,2.04,13.46,448.76,9.84 -1993-03-24 00:00:00,6.07,12.97,4.6,10.3,6.72,2.12,13.62,448.07,9.89 -1993-03-25 00:00:00,6.05,13.21,4.62,10.18,6.98,2.15,13.79,450.88,9.99 -1993-03-26 00:00:00,5.99,12.85,4.6,10.35,6.72,2.13,13.7,447.78,9.93 -1993-03-29 00:00:00,5.98,12.31,4.62,10.43,6.81,2.14,13.91,450.77,10.08 -1993-03-30 00:00:00,5.8,12.61,4.66,10.08,7.15,2.23,13.95,451.97,10.12 -1993-03-31 00:00:00,5.69,12.43,4.57,10.25,7.26,2.27,13.99,451.67,10.06 -1993-04-01 00:00:00,5.72,12.49,4.59,10.45,6.94,2.28,13.95,450.3,9.97 -1993-04-02 00:00:00,5.69,12.1,4.56,10.6,6.83,2.2,13.58,441.39,10.06 -1993-04-05 00:00:00,5.63,12.06,4.59,10.6,7.04,2.25,13.21,442.29,10.2 -1993-04-06 00:00:00,5.54,11.76,4.68,10.48,6.81,2.2,13.05,441.16,10.29 -1993-04-07 00:00:00,5.5,12.19,4.7,10.53,6.77,2.22,12.93,442.73,10.39 -1993-04-08 00:00:00,5.32,12.0,4.71,10.13,6.55,2.19,12.72,441.84,10.35 -1993-04-12 00:00:00,5.46,12.06,4.78,10.28,6.81,2.21,12.81,448.37,10.46 -1993-04-13 00:00:00,5.5,11.7,4.77,9.95,6.7,2.18,12.85,449.22,10.43 -1993-04-14 00:00:00,5.52,11.76,4.84,9.87,6.68,2.19,12.81,448.66,10.45 -1993-04-15 00:00:00,5.57,11.4,4.9,9.82,6.6,2.14,12.64,448.4,10.35 -1993-04-16 00:00:00,5.62,11.61,4.88,9.87,6.7,2.14,12.03,448.94,10.5 -1993-04-19 00:00:00,5.61,11.7,4.87,9.92,7.06,2.14,11.91,447.46,10.33 -1993-04-20 00:00:00,5.69,12.06,4.84,10.2,7.23,2.13,11.87,445.1,10.14 -1993-04-21 00:00:00,5.81,11.98,4.76,9.9,7.19,2.08,12.24,443.63,10.08 -1993-04-22 00:00:00,5.73,12.06,4.73,9.77,6.92,2.04,11.95,439.46,10.03 -1993-04-23 00:00:00,5.63,11.88,4.77,9.62,6.79,2.0,11.95,437.03,9.78 -1993-04-26 00:00:00,5.76,11.82,4.71,9.75,6.74,1.97,12.15,433.54,9.8 -1993-04-27 00:00:00,5.8,12.13,4.74,9.75,7.28,2.03,11.95,438.01,9.95 -1993-04-28 00:00:00,5.75,12.4,4.63,10.05,7.26,2.11,12.19,438.02,10.01 -1993-04-29 00:00:00,5.82,12.25,4.69,9.85,7.21,2.1,12.32,438.89,10.05 -1993-04-30 00:00:00,5.83,12.37,4.64,9.8,7.43,2.1,12.28,440.19,10.05 -1993-05-03 00:00:00,5.79,12.52,4.66,9.92,7.64,2.11,12.07,442.46,10.08 -1993-05-04 00:00:00,5.73,12.88,4.6,9.92,7.49,2.16,12.07,444.05,9.97 -1993-05-05 00:00:00,5.7,13.15,4.73,9.95,7.6,2.19,12.32,444.52,9.87 -1993-05-06 00:00:00,5.7,12.97,4.79,9.83,7.43,2.14,12.11,443.26,9.95 -1993-05-07 00:00:00,5.64,13.21,4.83,9.91,7.36,2.14,12.07,442.31,9.87 -1993-05-10 00:00:00,5.61,13.27,4.82,9.96,7.47,2.19,11.95,442.8,9.79 -1993-05-11 00:00:00,5.71,13.15,4.76,9.96,7.64,2.15,12.15,444.36,9.81 -1993-05-12 00:00:00,5.85,12.85,4.78,9.78,7.45,2.12,12.15,444.8,9.87 -1993-05-13 00:00:00,5.85,13.39,4.73,9.68,7.25,2.11,11.83,439.23,9.77 -1993-05-14 00:00:00,5.83,13.39,4.78,9.75,7.4,2.1,11.66,439.56,9.81 -1993-05-17 00:00:00,5.91,13.45,4.8,9.7,7.49,2.12,12.07,440.37,9.91 -1993-05-18 00:00:00,5.99,13.39,4.73,9.98,7.49,2.17,11.91,440.32,9.89 -1993-05-19 00:00:00,6.1,13.81,4.78,10.11,7.68,2.27,12.07,447.57,9.95 -1993-05-20 00:00:00,6.03,14.18,4.76,10.03,7.79,2.31,12.32,450.59,10.04 -1993-05-21 00:00:00,6.0,13.87,4.72,9.86,7.73,2.27,12.03,445.84,9.97 -1993-05-24 00:00:00,6.02,13.91,4.75,10.14,7.73,2.26,11.91,448.0,10.0 -1993-05-25 00:00:00,6.14,13.6,4.73,10.26,7.64,2.24,11.95,448.85,10.0 -1993-05-26 00:00:00,6.1,13.94,4.76,10.75,7.77,2.34,11.95,453.44,9.95 -1993-05-27 00:00:00,6.12,13.87,4.81,10.85,7.58,2.31,11.83,452.41,9.98 -1993-05-28 00:00:00,5.99,13.69,4.75,10.75,7.64,2.27,11.83,450.19,10.08 -1993-06-01 00:00:00,6.08,13.78,4.82,10.59,7.66,2.36,11.83,453.83,10.02 -1993-06-02 00:00:00,6.15,13.78,4.85,10.98,7.58,2.35,11.79,453.85,9.98 -1993-06-03 00:00:00,6.15,13.63,4.85,10.98,7.47,2.32,11.75,452.49,10.0 -1993-06-04 00:00:00,6.19,13.27,4.84,11.0,7.34,2.31,11.75,450.06,10.04 -1993-06-07 00:00:00,6.15,12.27,4.83,10.64,7.34,2.29,11.59,447.69,10.06 -1993-06-08 00:00:00,6.09,11.97,4.82,10.64,7.36,2.27,11.55,444.71,10.2 -1993-06-09 00:00:00,6.01,10.7,4.82,10.77,7.43,2.23,11.43,445.78,10.37 -1993-06-10 00:00:00,5.98,10.76,4.82,10.7,7.62,2.24,11.68,445.38,10.31 -1993-06-11 00:00:00,5.89,10.58,4.86,10.7,7.66,2.19,11.96,447.26,10.04 -1993-06-14 00:00:00,5.91,10.79,4.79,10.59,7.68,2.27,11.88,447.71,10.08 -1993-06-15 00:00:00,5.81,10.16,4.85,10.16,7.7,2.27,11.68,446.27,9.97 -1993-06-16 00:00:00,5.83,10.22,4.92,10.26,7.75,2.24,11.68,447.43,10.2 -1993-06-17 00:00:00,5.92,9.97,4.91,10.11,7.83,2.23,12.09,448.54,10.33 -1993-06-18 00:00:00,5.99,9.91,4.89,10.06,7.34,2.15,11.92,443.68,10.12 -1993-06-21 00:00:00,6.0,9.58,4.91,10.03,7.28,2.18,11.92,446.22,10.08 -1993-06-22 00:00:00,6.02,10.01,4.9,10.03,7.1,2.16,11.96,445.93,10.18 -1993-06-23 00:00:00,6.0,9.79,4.95,9.91,7.02,2.18,11.84,443.19,10.04 -1993-06-24 00:00:00,6.08,10.1,4.93,9.93,7.17,2.17,11.96,446.62,10.08 -1993-06-25 00:00:00,6.06,9.67,4.89,10.14,7.19,2.17,11.88,447.6,10.06 -1993-06-28 00:00:00,6.05,9.7,4.92,10.26,7.06,2.22,12.04,451.85,10.18 -1993-06-29 00:00:00,6.12,9.43,4.93,10.06,7.19,2.19,12.13,450.69,10.04 -1993-06-30 00:00:00,6.21,9.55,4.94,10.06,7.1,2.16,12.13,450.53,10.18 -1993-07-01 00:00:00,6.4,9.19,4.91,10.03,6.91,2.14,12.0,449.02,10.02 -1993-07-02 00:00:00,6.34,9.31,4.93,9.83,6.83,2.14,11.88,445.84,9.95 -1993-07-06 00:00:00,6.23,9.13,4.88,9.55,6.78,2.11,11.76,441.43,9.85 -1993-07-07 00:00:00,6.24,8.83,4.88,9.5,6.78,2.05,11.84,442.83,9.89 -1993-07-08 00:00:00,6.23,8.83,5.0,9.5,6.87,2.08,11.72,448.64,9.91 -1993-07-09 00:00:00,6.34,8.89,5.0,9.5,6.8,2.08,11.63,448.11,9.83 -1993-07-12 00:00:00,6.25,9.19,5.02,9.81,6.83,2.06,11.63,448.98,9.93 -1993-07-13 00:00:00,6.26,9.01,5.06,9.7,6.96,2.03,11.43,448.09,9.97 -1993-07-14 00:00:00,6.33,9.01,5.09,9.65,6.93,2.07,11.51,450.08,9.95 -1993-07-15 00:00:00,6.35,8.64,5.1,9.68,6.78,2.05,11.76,449.22,9.89 -1993-07-16 00:00:00,6.22,6.65,5.15,9.3,6.72,1.99,11.68,445.75,9.77 -1993-07-19 00:00:00,6.24,6.2,5.13,8.89,6.76,1.93,11.63,446.03,9.97 -1993-07-20 00:00:00,6.25,6.5,5.11,8.74,6.8,1.98,11.92,447.31,9.87 -1993-07-21 00:00:00,6.21,6.35,5.11,8.89,6.55,1.94,12.21,447.18,9.87 -1993-07-22 00:00:00,6.16,6.41,5.06,8.84,6.51,1.91,12.41,444.51,9.87 -1993-07-23 00:00:00,6.25,6.35,5.04,8.61,6.57,1.91,12.37,447.1,10.02 -1993-07-26 00:00:00,6.3,6.5,5.09,8.63,6.55,1.92,12.29,449.09,10.1 -1993-07-27 00:00:00,6.43,6.41,5.07,9.3,6.51,1.85,12.13,448.24,10.25 -1993-07-28 00:00:00,6.53,6.5,5.04,8.96,6.44,1.92,12.17,447.19,10.24 -1993-07-29 00:00:00,6.36,6.59,5.09,8.94,6.29,1.94,12.25,450.24,10.18 -1993-07-30 00:00:00,6.32,6.71,5.08,9.07,6.25,1.82,12.25,448.13,10.1 -1993-08-02 00:00:00,6.4,6.89,5.11,8.94,6.4,1.79,12.29,450.15,10.16 -1993-08-03 00:00:00,6.56,7.01,5.09,8.84,6.46,1.79,12.21,449.27,10.02 -1993-08-04 00:00:00,6.53,7.31,5.07,9.04,6.44,1.79,12.04,448.54,9.93 -1993-08-05 00:00:00,6.47,7.13,5.13,8.96,6.33,1.84,12.25,448.13,9.85 -1993-08-06 00:00:00,6.39,7.07,5.13,8.89,6.42,1.8,12.04,448.68,9.97 -1993-08-09 00:00:00,6.34,7.19,5.13,8.84,6.29,1.79,12.17,450.72,10.06 -1993-08-10 00:00:00,6.48,6.89,5.11,8.86,6.25,1.74,12.17,449.45,10.1 -1993-08-11 00:00:00,6.47,6.65,5.09,8.66,6.14,1.78,12.45,450.46,10.02 -1993-08-12 00:00:00,6.43,6.41,5.06,8.55,6.27,1.82,12.17,448.96,10.06 -1993-08-13 00:00:00,6.39,6.62,5.02,8.53,6.36,1.85,12.25,450.14,10.1 -1993-08-16 00:00:00,6.59,6.68,5.04,8.4,6.42,1.91,12.25,452.38,10.08 -1993-08-17 00:00:00,6.62,6.89,5.0,8.81,6.64,1.9,12.33,453.13,9.92 -1993-08-18 00:00:00,6.64,6.92,5.01,8.76,6.9,1.9,12.74,456.04,9.98 -1993-08-19 00:00:00,6.63,6.68,4.98,8.81,6.96,1.82,13.15,456.43,10.04 -1993-08-20 00:00:00,6.63,6.8,5.09,8.84,7.07,1.87,12.82,456.16,10.08 -1993-08-23 00:00:00,6.66,6.89,5.04,9.09,6.96,1.89,12.86,455.23,10.06 -1993-08-24 00:00:00,6.76,6.8,5.09,8.99,6.9,1.86,12.9,459.77,10.14 -1993-08-25 00:00:00,6.82,6.62,5.09,9.01,6.85,1.82,12.7,460.13,10.25 -1993-08-26 00:00:00,6.86,6.53,5.09,9.01,6.96,1.77,12.62,461.04,10.31 -1993-08-27 00:00:00,6.76,6.44,5.06,9.04,6.96,1.76,12.86,460.54,10.17 -1993-08-30 00:00:00,6.77,6.31,5.08,9.14,6.98,1.78,12.78,461.9,10.14 -1993-08-31 00:00:00,6.7,6.44,5.07,9.37,7.03,1.84,12.9,463.56,10.17 -1993-09-01 00:00:00,6.7,6.34,5.06,9.4,6.96,1.88,12.95,463.15,10.14 -1993-09-02 00:00:00,6.51,6.25,5.03,9.42,7.05,1.88,12.78,461.3,10.02 -1993-09-03 00:00:00,6.63,6.25,5.02,9.37,6.88,1.86,12.83,461.34,10.19 -1993-09-07 00:00:00,6.51,6.38,5.0,9.32,6.79,1.84,12.96,458.52,10.12 -1993-09-08 00:00:00,6.39,6.5,4.96,9.09,6.62,1.83,13.08,456.65,10.19 -1993-09-09 00:00:00,6.43,6.31,4.95,9.09,6.68,1.87,13.12,457.5,10.1 -1993-09-10 00:00:00,6.39,6.38,4.98,8.96,6.68,1.92,13.25,461.72,10.21 -1993-09-13 00:00:00,6.37,6.13,4.99,8.99,6.66,1.88,13.41,462.06,10.17 -1993-09-14 00:00:00,6.36,5.89,5.06,8.91,6.79,1.85,13.45,459.9,10.19 -1993-09-15 00:00:00,6.38,5.95,5.06,8.94,6.72,1.88,13.7,461.6,10.29 -1993-09-16 00:00:00,6.48,6.01,5.07,8.91,6.68,1.87,13.66,459.43,10.19 -1993-09-17 00:00:00,6.38,6.13,5.09,8.89,6.75,1.87,13.53,458.83,10.12 -1993-09-20 00:00:00,6.13,6.04,5.05,8.66,6.53,1.86,13.16,455.05,10.08 -1993-09-21 00:00:00,5.96,5.95,5.0,8.63,6.7,1.87,13.08,452.95,10.14 -1993-09-22 00:00:00,6.08,6.19,5.01,8.58,6.77,1.9,13.41,456.2,10.1 -1993-09-23 00:00:00,6.01,6.01,5.0,8.58,6.83,1.93,13.41,457.74,10.04 -1993-09-24 00:00:00,6.07,6.07,4.93,8.55,6.75,1.96,13.29,457.63,10.19 -1993-09-27 00:00:00,6.14,6.01,5.01,8.55,6.83,2.02,13.49,461.8,10.19 -1993-09-28 00:00:00,6.05,6.01,4.98,8.55,6.77,2.06,13.33,461.53,10.21 -1993-09-29 00:00:00,5.96,5.8,4.95,8.53,6.81,2.04,13.08,460.11,10.37 -1993-09-30 00:00:00,5.99,5.68,4.98,8.61,6.79,2.03,12.92,458.93,10.19 -1993-10-01 00:00:00,6.13,5.53,4.98,8.99,6.75,2.01,12.75,461.28,10.31 -1993-10-04 00:00:00,6.14,5.53,5.0,9.07,6.66,2.03,13.0,461.34,10.21 -1993-10-05 00:00:00,6.03,5.71,4.96,8.96,6.81,2.04,13.0,461.2,10.23 -1993-10-06 00:00:00,6.07,5.74,4.96,9.01,6.79,2.08,12.79,460.74,10.19 -1993-10-07 00:00:00,6.11,5.59,4.96,9.01,6.83,2.07,12.83,459.18,10.19 -1993-10-08 00:00:00,6.04,5.49,4.98,9.07,6.79,2.08,12.83,460.31,10.17 -1993-10-11 00:00:00,5.96,5.77,5.01,9.04,6.88,2.06,13.04,460.88,10.12 -1993-10-12 00:00:00,6.02,5.83,4.96,8.96,6.9,2.07,13.08,461.12,10.14 -1993-10-13 00:00:00,6.01,5.83,4.99,8.84,6.94,2.04,13.0,461.49,10.04 -1993-10-14 00:00:00,5.94,5.77,5.01,8.73,7.03,2.02,13.33,466.83,10.08 -1993-10-15 00:00:00,5.95,6.86,5.11,9.12,7.11,1.98,13.57,469.5,10.16 -1993-10-18 00:00:00,6.07,6.89,5.09,9.01,7.18,2.04,13.41,468.45,10.08 -1993-10-19 00:00:00,6.13,6.74,5.09,8.89,7.13,1.97,13.2,466.21,10.1 -1993-10-20 00:00:00,6.07,6.74,5.1,8.94,7.26,1.99,13.2,466.07,10.12 -1993-10-21 00:00:00,6.04,7.35,5.05,9.22,7.35,1.95,13.0,465.36,10.06 -1993-10-22 00:00:00,6.15,7.35,4.98,9.12,7.2,1.97,13.04,463.27,10.06 -1993-10-25 00:00:00,6.31,7.29,4.97,9.2,7.24,1.98,12.88,464.2,10.21 -1993-10-26 00:00:00,6.21,7.23,5.0,9.48,7.16,1.95,13.04,464.3,10.23 -1993-10-27 00:00:00,6.11,7.71,5.05,9.42,7.18,1.96,12.92,464.61,10.21 -1993-10-28 00:00:00,6.03,7.53,5.03,9.37,7.2,1.94,13.33,467.73,10.25 -1993-10-29 00:00:00,6.07,7.47,5.04,9.42,7.26,1.97,13.0,467.83,10.17 -1993-11-01 00:00:00,6.08,7.65,5.06,9.78,7.37,1.99,12.79,469.1,10.14 -1993-11-02 00:00:00,6.1,7.95,5.04,10.42,7.37,1.97,12.88,468.44,10.12 -1993-11-03 00:00:00,6.0,7.68,5.0,10.4,7.37,1.93,12.59,463.02,10.06 -1993-11-04 00:00:00,6.06,7.83,4.87,10.24,7.31,1.88,12.46,457.49,10.06 -1993-11-05 00:00:00,6.1,7.74,4.89,10.27,7.35,1.93,12.51,459.57,10.11 -1993-11-08 00:00:00,6.11,7.47,4.87,10.35,7.44,1.93,12.55,460.21,10.07 -1993-11-09 00:00:00,6.13,7.32,4.91,10.12,7.44,1.92,12.83,460.33,10.05 -1993-11-10 00:00:00,6.26,7.47,4.91,10.27,7.55,2.0,13.04,463.72,10.11 -1993-11-11 00:00:00,6.21,7.62,4.87,10.71,7.48,2.0,13.0,462.64,10.03 -1993-11-12 00:00:00,6.25,7.71,4.87,10.63,7.52,2.01,12.83,465.39,9.98 -1993-11-15 00:00:00,6.21,7.77,4.89,10.5,7.57,1.98,13.12,463.75,9.88 -1993-11-16 00:00:00,6.21,8.26,5.01,10.86,7.68,2.02,13.16,466.74,9.88 -1993-11-17 00:00:00,6.17,8.14,5.02,10.68,7.61,1.98,13.08,464.81,10.03 -1993-11-18 00:00:00,6.15,8.14,5.06,10.86,7.72,1.97,13.29,463.62,10.15 -1993-11-19 00:00:00,6.3,8.04,5.1,10.68,7.72,1.97,13.2,462.6,10.11 -1993-11-22 00:00:00,6.44,7.92,5.1,10.71,7.76,1.89,13.04,459.13,10.11 -1993-11-23 00:00:00,6.47,8.04,5.11,10.94,7.83,1.9,12.96,461.03,10.05 -1993-11-24 00:00:00,6.38,8.04,5.07,11.35,7.76,1.93,13.16,462.36,9.96 -1993-11-26 00:00:00,6.38,7.95,5.11,11.48,7.65,1.94,13.25,463.06,9.72 -1993-11-29 00:00:00,6.27,7.74,5.08,11.2,7.68,1.95,13.12,461.9,9.74 -1993-11-30 00:00:00,6.21,7.68,5.11,11.09,7.57,1.96,13.25,461.79,9.88 -1993-12-01 00:00:00,6.3,7.68,5.12,10.94,7.63,2.0,13.16,461.89,9.76 -1993-12-02 00:00:00,6.31,7.74,5.19,11.07,7.68,2.04,13.16,463.11,9.8 -1993-12-03 00:00:00,6.24,7.68,5.2,11.02,7.76,2.11,13.12,464.89,9.86 -1993-12-06 00:00:00,6.17,7.86,5.21,11.07,7.87,2.08,13.3,466.43,9.88 -1993-12-07 00:00:00,6.21,7.86,5.18,11.07,7.83,2.1,13.42,466.76,9.86 -1993-12-08 00:00:00,6.5,7.77,5.21,11.09,7.87,2.05,13.42,466.29,9.8 -1993-12-09 00:00:00,6.42,7.31,5.24,11.04,7.68,1.99,13.38,464.18,9.8 -1993-12-10 00:00:00,6.49,6.89,5.28,11.38,7.55,2.01,13.46,463.93,9.9 -1993-12-13 00:00:00,6.61,7.19,5.24,11.81,7.46,2.0,13.59,465.7,9.9 -1993-12-14 00:00:00,6.49,7.1,5.31,11.56,7.39,1.96,13.42,463.06,9.92 -1993-12-15 00:00:00,6.34,7.25,5.37,11.71,7.5,1.96,13.46,461.84,9.94 -1993-12-16 00:00:00,6.3,7.16,5.37,11.84,7.46,1.96,13.55,463.34,9.99 -1993-12-17 00:00:00,6.27,7.19,5.46,12.3,7.48,1.98,13.51,466.38,10.07 -1993-12-20 00:00:00,6.25,6.95,5.41,12.02,7.39,2.01,13.51,465.85,10.03 -1993-12-21 00:00:00,6.13,6.7,5.47,12.07,7.39,2.03,13.55,465.3,9.94 -1993-12-22 00:00:00,6.15,6.82,5.47,12.2,7.44,1.99,13.63,467.32,9.92 -1993-12-23 00:00:00,6.12,6.64,5.51,12.07,7.55,1.99,13.84,467.38,9.92 -1993-12-27 00:00:00,6.16,6.95,5.58,12.17,7.7,1.98,13.79,470.54,10.11 -1993-12-28 00:00:00,6.26,7.1,5.57,12.02,7.74,2.03,13.67,470.94,10.07 -1993-12-29 00:00:00,6.22,6.95,5.57,11.97,7.76,2.0,13.67,470.58,10.02 -1993-12-30 00:00:00,6.22,7.25,5.53,11.74,7.81,2.0,13.63,468.64,10.02 -1993-12-31 00:00:00,6.22,7.13,5.48,11.63,7.79,1.98,13.51,466.45,9.94 -1994-01-03 00:00:00,6.34,7.28,5.44,11.87,7.85,1.97,13.42,465.44,10.03 -1994-01-04 00:00:00,6.33,7.68,5.42,12.15,7.83,1.98,13.26,466.89,10.11 -1994-01-05 00:00:00,6.48,8.23,5.38,12.25,7.81,2.02,13.13,467.55,10.17 -1994-01-06 00:00:00,6.45,7.98,5.43,12.04,7.65,2.08,12.97,467.12,10.11 -1994-01-07 00:00:00,6.48,8.08,5.46,12.12,7.74,2.09,13.26,469.9,10.03 -1994-01-10 00:00:00,6.65,8.2,5.48,12.2,7.89,2.11,13.51,475.27,10.17 -1994-01-11 00:00:00,6.43,7.77,5.52,12.07,7.72,2.09,13.42,474.13,10.15 -1994-01-12 00:00:00,6.54,7.43,5.54,11.97,7.7,2.1,13.3,474.17,10.21 -1994-01-13 00:00:00,6.57,7.46,5.5,12.1,7.59,2.1,13.22,472.47,10.33 -1994-01-14 00:00:00,6.55,7.56,5.58,12.07,7.59,2.1,13.22,474.91,10.19 -1994-01-17 00:00:00,6.66,7.4,5.6,11.84,7.65,2.08,13.09,473.3,10.23 -1994-01-18 00:00:00,6.63,7.16,5.66,11.76,7.57,2.08,13.09,474.25,10.21 -1994-01-19 00:00:00,6.72,7.13,5.68,11.53,7.44,2.04,13.34,474.3,10.31 -1994-01-20 00:00:00,6.67,7.28,5.67,11.38,7.22,2.12,13.22,474.98,10.45 -1994-01-21 00:00:00,6.63,8.14,5.64,11.38,7.26,2.12,13.22,474.72,10.41 -1994-01-24 00:00:00,6.78,8.53,5.63,12.07,7.0,2.09,13.01,471.97,10.41 -1994-01-25 00:00:00,6.8,8.26,5.59,11.99,7.09,2.09,12.97,470.92,10.43 -1994-01-26 00:00:00,6.86,8.17,5.57,11.61,7.26,2.07,12.93,473.2,10.41 -1994-01-27 00:00:00,6.86,8.32,5.66,11.76,7.35,2.07,13.3,477.05,10.33 -1994-01-28 00:00:00,6.89,8.29,5.64,11.89,7.37,2.08,13.26,478.7,10.35 -1994-01-31 00:00:00,7.14,7.98,5.63,11.63,7.35,2.09,13.34,481.61,10.47 -1994-02-01 00:00:00,7.16,8.1,5.59,11.63,7.31,2.09,13.09,479.62,10.43 -1994-02-02 00:00:00,7.15,8.04,5.7,11.61,7.39,2.06,13.09,482.0,10.56 -1994-02-03 00:00:00,7.06,8.17,5.74,11.48,7.35,2.08,12.97,480.71,10.55 -1994-02-04 00:00:00,6.87,8.17,5.57,10.75,7.29,2.0,12.64,469.81,10.42 -1994-02-07 00:00:00,7.05,8.93,5.66,11.22,7.22,1.98,12.72,471.76,10.4 -1994-02-08 00:00:00,7.16,8.75,5.61,11.09,7.39,1.93,12.72,471.05,10.4 -1994-02-09 00:00:00,7.26,8.87,5.66,10.99,7.27,1.96,12.68,472.77,10.5 -1994-02-10 00:00:00,7.15,8.93,5.57,10.94,7.22,1.95,12.68,468.93,10.48 -1994-02-11 00:00:00,7.05,9.05,5.61,11.01,7.31,1.93,12.89,470.18,10.58 -1994-02-14 00:00:00,7.07,9.05,5.65,11.17,7.35,1.94,12.76,470.23,10.54 -1994-02-15 00:00:00,7.05,9.08,5.7,11.27,7.37,1.96,12.8,472.52,10.6 -1994-02-16 00:00:00,7.18,8.99,5.68,11.3,7.29,1.93,12.97,472.79,10.62 -1994-02-17 00:00:00,7.1,9.05,5.7,10.91,7.2,1.93,12.72,470.34,10.62 -1994-02-18 00:00:00,7.04,8.87,5.64,10.89,7.24,1.96,12.89,467.69,10.52 -1994-02-22 00:00:00,6.94,9.11,5.64,11.09,7.2,1.95,13.09,471.46,10.6 -1994-02-23 00:00:00,6.85,9.11,5.61,11.07,7.16,1.99,13.09,470.69,10.58 -1994-02-24 00:00:00,6.88,8.96,5.51,10.94,7.07,1.96,12.84,464.26,10.38 -1994-02-25 00:00:00,6.88,8.81,5.49,10.94,7.09,1.99,12.8,466.07,10.42 -1994-02-28 00:00:00,6.79,8.93,5.51,10.94,7.0,2.03,12.93,467.14,10.32 -1994-03-01 00:00:00,6.72,8.87,5.52,11.09,7.05,2.04,12.93,464.44,10.32 -1994-03-02 00:00:00,6.9,8.72,5.57,10.96,7.02,2.03,12.84,464.81,10.48 -1994-03-03 00:00:00,6.75,8.75,5.53,10.89,6.94,1.99,12.6,463.01,10.52 -1994-03-04 00:00:00,6.78,8.99,5.52,10.89,6.94,1.99,12.56,464.74,10.38 -1994-03-07 00:00:00,6.81,9.27,5.57,10.81,6.92,2.0,12.44,466.91,10.38 -1994-03-08 00:00:00,6.74,9.05,5.53,11.32,6.94,1.99,12.32,465.88,10.4 -1994-03-09 00:00:00,6.75,9.17,5.55,11.45,7.0,1.99,12.19,467.06,10.42 -1994-03-10 00:00:00,6.59,9.11,5.5,11.58,6.92,1.99,12.11,463.9,10.32 -1994-03-11 00:00:00,6.67,9.11,5.54,11.56,6.92,2.01,11.99,466.44,10.38 -1994-03-14 00:00:00,6.63,9.33,5.54,11.89,6.94,2.06,11.95,467.39,10.38 -1994-03-15 00:00:00,6.64,9.2,5.52,11.87,6.96,2.08,12.24,467.01,10.3 -1994-03-16 00:00:00,6.65,8.99,5.46,12.05,6.89,2.08,12.36,469.42,10.32 -1994-03-17 00:00:00,6.81,8.93,5.42,11.97,6.87,2.08,12.57,470.9,10.44 -1994-03-18 00:00:00,6.96,8.9,5.5,11.82,6.89,2.08,12.48,471.06,10.48 -1994-03-21 00:00:00,6.96,8.68,5.47,12.13,6.89,2.04,12.36,468.54,10.42 -1994-03-22 00:00:00,7.07,8.56,5.43,12.05,6.83,2.08,12.36,468.8,10.44 -1994-03-23 00:00:00,7.1,8.59,5.47,11.84,6.72,2.12,12.28,468.54,10.4 -1994-03-24 00:00:00,7.06,8.47,5.45,11.66,6.74,2.14,12.44,464.35,10.42 -1994-03-25 00:00:00,6.88,8.01,5.37,11.17,6.74,2.15,12.36,460.58,10.42 -1994-03-28 00:00:00,6.83,8.13,5.45,11.09,6.79,2.12,12.36,460.0,10.34 -1994-03-29 00:00:00,6.73,8.01,5.38,10.89,6.63,2.03,12.28,452.48,10.34 -1994-03-30 00:00:00,6.47,7.95,5.2,11.07,6.48,2.05,12.11,445.55,10.1 -1994-03-31 00:00:00,6.46,8.13,5.26,11.3,6.59,2.08,12.15,445.77,10.0 -1994-04-04 00:00:00,6.5,8.13,5.16,10.96,6.44,2.08,12.03,438.92,9.71 -1994-04-05 00:00:00,6.49,8.19,5.2,11.04,6.48,2.15,12.15,448.29,9.73 -1994-04-06 00:00:00,6.53,8.19,5.14,10.99,6.41,2.19,12.15,448.05,9.73 -1994-04-07 00:00:00,6.53,8.17,5.17,10.99,6.48,2.2,12.15,450.88,9.75 -1994-04-08 00:00:00,6.44,8.19,5.12,10.86,6.52,2.14,12.15,447.1,9.71 -1994-04-11 00:00:00,6.46,8.19,5.18,10.96,6.76,2.14,12.11,449.87,9.81 -1994-04-12 00:00:00,6.46,7.83,5.22,10.94,6.89,2.08,12.19,447.57,9.81 -1994-04-13 00:00:00,6.27,7.77,5.2,10.83,6.94,2.08,12.24,446.26,9.82 -1994-04-14 00:00:00,6.26,7.71,5.13,11.14,6.81,2.07,12.24,446.38,10.0 -1994-04-15 00:00:00,6.11,7.4,5.09,10.96,6.85,2.08,12.19,446.18,10.02 -1994-04-18 00:00:00,5.99,7.25,4.99,11.04,6.79,2.04,12.15,442.46,9.9 -1994-04-19 00:00:00,5.86,7.09,5.03,11.04,7.05,2.16,12.19,442.54,10.04 -1994-04-20 00:00:00,5.98,6.91,5.03,10.81,7.07,2.2,11.95,441.96,10.02 -1994-04-21 00:00:00,6.02,7.25,5.07,12.07,7.13,2.25,12.03,448.73,9.94 -1994-04-22 00:00:00,6.11,7.28,5.05,12.15,7.02,2.25,11.82,447.63,10.04 -1994-04-25 00:00:00,6.19,7.58,5.09,12.25,7.0,2.3,12.19,452.71,10.12 -1994-04-26 00:00:00,6.2,7.64,5.05,12.1,7.02,2.33,12.15,451.87,10.0 -1994-04-28 00:00:00,6.12,7.4,5.08,11.82,7.27,2.26,12.28,449.1,9.85 -1994-04-29 00:00:00,6.13,7.34,5.01,11.89,7.22,2.27,12.11,450.91,10.0 -1994-05-02 00:00:00,6.4,7.58,5.05,12.0,7.33,2.35,12.53,453.02,9.79 -1994-05-03 00:00:00,6.31,7.4,5.07,12.07,7.27,2.3,12.28,453.03,9.75 -1994-05-04 00:00:00,6.27,8.07,5.15,11.94,7.29,2.34,12.28,451.72,9.65 -1994-05-05 00:00:00,6.25,8.04,5.14,11.87,7.22,2.32,11.95,451.38,9.67 -1994-05-06 00:00:00,6.2,7.9,5.08,11.74,7.11,2.27,11.9,447.82,9.98 -1994-05-09 00:00:00,6.17,7.64,4.99,11.84,7.11,2.27,11.86,442.32,9.88 -1994-05-10 00:00:00,6.15,7.58,5.0,12.05,7.27,2.31,11.9,446.01,10.0 -1994-05-11 00:00:00,6.13,7.4,4.91,11.89,7.45,2.3,11.74,441.49,9.88 -1994-05-12 00:00:00,6.11,7.26,4.93,11.89,7.38,2.32,11.86,443.75,9.98 -1994-05-13 00:00:00,6.23,7.34,5.02,11.94,7.47,2.37,11.78,444.14,9.98 -1994-05-16 00:00:00,6.2,7.22,4.99,12.15,7.51,2.33,11.95,444.49,9.9 -1994-05-17 00:00:00,6.4,7.18,5.01,12.72,7.6,2.32,12.28,449.37,9.96 -1994-05-18 00:00:00,6.5,7.49,5.04,12.62,7.6,2.38,12.32,453.69,9.94 -1994-05-19 00:00:00,6.46,7.86,5.08,12.75,7.62,2.42,12.19,456.48,10.02 -1994-05-20 00:00:00,6.48,7.6,5.01,12.91,7.6,2.4,12.15,454.92,10.0 -1994-05-23 00:00:00,6.41,7.46,4.95,12.83,7.69,2.48,11.99,453.2,9.94 -1994-05-24 00:00:00,6.32,7.52,5.0,13.11,7.67,2.51,12.07,454.81,9.88 -1994-05-25 00:00:00,6.4,7.64,5.0,13.22,7.73,2.58,12.07,456.34,9.9 -1994-05-26 00:00:00,6.35,7.46,5.1,13.29,7.76,2.55,12.15,457.06,9.88 -1994-05-27 00:00:00,6.37,7.35,5.16,13.22,7.82,2.57,12.11,457.33,9.86 -1994-05-31 00:00:00,6.41,7.18,5.24,13.09,7.78,2.64,11.95,456.5,9.84 -1994-06-01 00:00:00,6.38,6.94,5.28,13.19,7.73,2.6,12.03,457.63,9.78 -1994-06-02 00:00:00,6.38,6.72,5.26,12.88,7.69,2.57,12.19,457.65,9.8 -1994-06-03 00:00:00,6.41,6.78,5.2,12.67,7.69,2.6,11.95,460.13,9.88 -1994-06-06 00:00:00,6.44,6.72,5.13,13.01,7.51,2.68,11.55,458.88,9.84 -1994-06-07 00:00:00,6.34,6.75,5.13,13.01,7.65,2.63,11.63,458.21,9.92 -1994-06-08 00:00:00,6.41,6.41,5.07,12.8,7.62,2.55,11.5,457.06,9.88 -1994-06-09 00:00:00,6.46,6.63,5.09,12.88,7.71,2.57,10.5,457.86,9.94 -1994-06-10 00:00:00,6.62,6.51,5.03,13.01,7.62,2.58,10.38,458.67,10.0 -1994-06-13 00:00:00,6.83,6.63,5.08,13.24,7.67,2.6,10.46,459.1,9.6 -1994-06-14 00:00:00,6.88,6.65,5.05,13.5,7.69,2.63,10.63,462.37,9.48 -1994-06-15 00:00:00,6.76,6.83,5.0,13.24,7.62,2.66,10.71,460.61,9.17 -1994-06-16 00:00:00,6.79,6.48,5.05,13.06,7.69,2.63,10.59,461.93,9.48 -1994-06-17 00:00:00,6.77,6.51,5.03,12.96,7.67,2.6,10.42,458.45,9.46 -1994-06-20 00:00:00,6.67,6.66,4.99,12.8,7.67,2.63,10.34,455.48,9.44 -1994-06-21 00:00:00,6.75,6.39,4.86,12.67,7.71,2.58,10.5,451.34,9.34 -1994-06-22 00:00:00,6.76,6.45,4.82,12.88,7.62,2.53,10.59,453.09,9.38 -1994-06-23 00:00:00,6.78,6.17,4.87,12.65,7.6,2.46,10.38,449.63,9.36 -1994-06-24 00:00:00,6.58,6.29,4.87,12.44,7.49,2.43,10.25,442.8,9.21 -1994-06-27 00:00:00,6.66,6.45,4.99,12.78,7.51,2.55,10.34,447.31,9.2 -1994-06-28 00:00:00,6.54,6.57,5.01,12.7,7.6,2.52,10.3,446.07,9.11 -1994-06-29 00:00:00,6.6,6.41,5.05,12.54,7.65,2.52,10.42,447.63,9.09 -1994-06-30 00:00:00,6.63,6.51,4.95,12.2,7.54,2.54,10.21,444.27,9.13 -1994-07-01 00:00:00,6.85,6.32,4.92,11.84,7.54,2.47,10.17,446.2,9.2 -1994-07-05 00:00:00,6.88,6.51,4.98,11.68,7.51,2.41,10.21,446.37,9.16 -1994-07-06 00:00:00,6.99,6.41,5.01,11.84,7.45,2.37,10.05,446.13,9.13 -1994-07-07 00:00:00,6.83,6.58,5.03,11.79,7.47,2.47,10.21,448.38,9.24 -1994-07-08 00:00:00,7.16,6.65,5.03,11.76,7.51,2.43,10.25,449.55,9.32 -1994-07-11 00:00:00,7.11,6.63,5.01,11.56,7.56,2.38,10.3,448.06,9.42 -1994-07-12 00:00:00,7.19,6.97,4.97,11.61,7.49,2.36,10.21,447.95,9.4 -1994-07-13 00:00:00,7.18,7.29,4.97,11.79,7.45,2.43,10.17,448.73,9.36 -1994-07-14 00:00:00,7.2,7.03,5.05,12.1,7.56,2.39,10.25,453.41,9.32 -1994-07-15 00:00:00,7.29,6.94,5.08,11.82,7.69,2.39,10.42,454.16,9.34 -1994-07-18 00:00:00,7.48,6.97,5.08,11.82,7.67,2.48,10.17,455.22,9.38 -1994-07-19 00:00:00,7.44,6.8,5.18,11.56,7.67,2.46,10.17,453.86,9.42 -1994-07-20 00:00:00,7.31,6.54,5.17,11.61,7.86,2.38,10.13,451.6,9.42 -1994-07-21 00:00:00,7.34,6.88,5.14,12.96,8.15,2.35,10.05,452.61,9.4 -1994-07-22 00:00:00,7.2,7.61,5.26,12.75,7.98,2.48,10.05,453.11,9.32 -1994-07-25 00:00:00,7.17,7.78,5.29,12.93,8.22,2.51,10.0,454.25,9.38 -1994-07-26 00:00:00,7.31,7.7,5.21,12.96,8.2,2.47,10.05,453.36,9.38 -1994-07-27 00:00:00,7.06,7.63,5.17,12.98,8.33,2.43,9.96,452.57,9.42 -1994-07-28 00:00:00,6.97,7.83,5.25,12.93,8.26,2.43,9.92,454.24,9.5 -1994-07-29 00:00:00,7.1,8.27,5.34,12.85,8.26,2.53,10.17,458.26,9.58 -1994-08-01 00:00:00,7.2,8.2,5.33,13.06,8.26,2.62,10.3,461.01,9.68 -1994-08-02 00:00:00,7.27,8.0,5.3,12.93,8.28,2.59,10.3,460.56,9.54 -1994-08-03 00:00:00,7.28,8.14,5.26,13.09,8.44,2.62,10.3,461.45,9.54 -1994-08-04 00:00:00,7.23,8.17,5.14,13.17,8.52,2.59,10.34,458.4,9.56 -1994-08-05 00:00:00,7.17,8.17,5.2,13.01,8.41,2.58,10.34,457.09,9.52 -1994-08-08 00:00:00,7.17,8.29,5.25,13.19,8.37,2.6,10.5,457.89,9.64 -1994-08-09 00:00:00,7.19,8.26,5.18,13.45,8.41,2.63,10.38,457.92,9.55 -1994-08-10 00:00:00,7.18,8.5,5.12,13.37,8.58,2.66,10.38,460.3,9.61 -1994-08-11 00:00:00,7.12,8.43,5.05,13.48,8.44,2.71,10.38,458.88,9.47 -1994-08-12 00:00:00,7.11,8.53,5.1,13.3,8.6,2.71,10.59,461.94,9.82 -1994-08-15 00:00:00,7.02,8.53,5.17,13.42,8.75,2.67,10.38,461.23,9.76 -1994-08-16 00:00:00,7.06,8.56,5.14,13.48,8.75,2.7,10.8,465.01,9.67 -1994-08-17 00:00:00,7.04,8.63,5.08,13.53,8.71,2.74,11.09,465.17,9.71 -1994-08-18 00:00:00,7.03,8.53,5.0,13.82,8.51,2.73,10.92,463.17,9.67 -1994-08-19 00:00:00,7.01,8.6,5.08,14.21,8.66,2.7,11.17,463.68,9.69 -1994-08-22 00:00:00,7.04,8.6,5.06,14.13,8.69,2.68,11.17,462.32,9.65 -1994-08-23 00:00:00,7.06,8.63,5.17,14.1,8.6,2.73,11.34,464.51,9.61 -1994-08-24 00:00:00,7.25,8.6,5.22,14.05,8.71,2.74,11.5,469.03,9.76 -1994-08-25 00:00:00,7.27,8.64,5.26,14.47,8.66,2.76,11.3,468.08,9.63 -1994-08-26 00:00:00,7.4,8.81,5.38,14.6,8.75,2.79,11.42,473.8,9.73 -1994-08-29 00:00:00,7.47,8.72,5.33,14.47,8.75,2.8,11.25,474.59,9.73 -1994-08-30 00:00:00,7.6,8.93,5.3,14.47,8.69,2.87,11.17,476.07,9.71 -1994-08-31 00:00:00,7.66,8.92,5.28,14.29,8.86,2.86,11.05,475.49,9.69 -1994-09-01 00:00:00,7.57,8.63,5.33,14.15,8.93,2.76,11.21,473.17,9.69 -1994-09-02 00:00:00,7.53,8.72,5.3,14.03,8.86,2.75,11.32,470.99,9.69 -1994-09-06 00:00:00,7.59,8.76,5.24,14.08,8.84,2.75,11.23,471.86,9.71 -1994-09-07 00:00:00,7.52,8.9,5.2,14.08,8.73,2.79,11.15,470.99,9.77 -1994-09-08 00:00:00,7.59,8.9,5.21,14.15,8.82,2.85,11.23,473.14,9.77 -1994-09-09 00:00:00,7.56,8.81,5.21,14.03,8.82,2.79,11.11,468.18,9.67 -1994-09-12 00:00:00,7.53,8.81,5.21,14.15,8.73,2.76,11.06,466.21,9.59 -1994-09-13 00:00:00,7.66,8.82,5.25,14.44,8.78,2.83,11.06,467.51,9.61 -1994-09-14 00:00:00,7.69,8.66,5.33,14.55,8.66,2.83,11.15,468.8,9.57 -1994-09-15 00:00:00,7.79,8.87,5.45,14.55,8.82,2.86,11.4,474.81,9.69 -1994-09-16 00:00:00,7.89,8.97,5.41,14.81,8.82,2.79,11.15,471.19,9.82 -1994-09-19 00:00:00,7.82,8.75,5.36,14.68,8.82,2.79,11.19,470.85,9.69 -1994-09-20 00:00:00,7.77,8.52,5.25,14.65,8.73,2.75,10.9,463.36,9.55 -1994-09-21 00:00:00,7.75,8.41,5.25,14.49,8.73,2.81,10.9,461.46,9.49 -1994-09-22 00:00:00,7.69,8.35,5.21,14.52,8.66,2.8,10.94,461.27,9.43 -1994-09-23 00:00:00,7.72,8.36,5.17,14.42,8.73,2.75,10.9,459.67,9.43 -1994-09-26 00:00:00,7.79,8.36,5.26,14.39,8.69,2.73,11.06,460.82,9.47 -1994-09-27 00:00:00,7.94,8.35,5.21,14.39,9.06,2.78,10.98,462.05,9.37 -1994-09-28 00:00:00,7.98,8.35,5.21,14.29,9.15,2.8,11.19,464.84,9.45 -1994-09-29 00:00:00,7.82,8.41,5.21,14.49,9.04,2.78,11.11,462.24,9.43 -1994-09-30 00:00:00,7.73,8.3,5.14,14.52,9.15,2.76,11.11,462.71,9.37 -1994-10-03 00:00:00,7.83,8.16,5.09,14.36,9.09,2.74,11.27,461.74,9.41 -1994-10-04 00:00:00,7.71,8.32,5.02,14.26,8.86,2.7,10.94,454.59,9.27 -1994-10-05 00:00:00,7.55,9.33,5.06,14.42,8.91,2.73,11.19,453.52,9.27 -1994-10-06 00:00:00,7.59,8.93,5.02,14.34,8.93,2.68,11.06,452.36,9.31 -1994-10-07 00:00:00,7.69,9.12,5.0,14.83,9.0,2.67,10.81,455.1,9.55 -1994-10-10 00:00:00,7.59,9.58,5.01,14.91,8.97,2.69,10.9,459.04,9.55 -1994-10-11 00:00:00,7.6,9.77,5.17,14.94,9.22,2.74,11.65,465.79,9.61 -1994-10-12 00:00:00,7.68,10.38,5.36,15.25,9.28,2.76,11.57,465.47,9.55 -1994-10-13 00:00:00,7.6,10.14,5.34,15.07,9.33,2.81,11.57,467.79,9.71 -1994-10-14 00:00:00,7.93,10.14,5.38,15.25,9.26,2.75,11.44,469.1,9.77 -1994-10-17 00:00:00,7.89,9.8,5.38,15.28,9.39,2.71,11.44,468.96,9.76 -1994-10-18 00:00:00,7.89,10.17,5.33,15.54,9.39,2.78,11.4,467.66,9.73 -1994-10-19 00:00:00,8.06,10.17,5.37,15.72,9.64,2.83,11.65,470.28,9.69 -1994-10-20 00:00:00,8.23,10.1,5.24,15.64,9.7,2.93,11.48,466.85,9.76 -1994-10-21 00:00:00,8.09,10.51,5.06,15.56,9.66,2.92,11.52,464.89,9.76 -1994-10-24 00:00:00,7.87,10.41,5.12,15.22,9.55,2.89,11.4,460.83,9.69 -1994-10-25 00:00:00,7.76,10.51,5.1,15.41,9.59,2.93,11.48,461.53,9.84 -1994-10-26 00:00:00,7.75,10.66,5.12,15.51,9.62,3.0,11.65,462.62,9.98 -1994-10-27 00:00:00,7.75,10.54,5.14,15.46,9.62,3.03,11.69,465.85,10.12 -1994-10-28 00:00:00,7.76,10.38,5.28,15.87,9.75,3.05,11.78,473.77,10.2 -1994-10-31 00:00:00,7.81,10.64,5.22,15.54,9.66,3.09,11.73,472.35,10.24 -1994-11-01 00:00:00,7.72,10.63,5.18,15.41,9.86,3.08,11.9,468.42,10.06 -1994-11-02 00:00:00,7.59,10.2,5.16,15.48,9.81,3.09,11.82,466.51,10.1 -1994-11-03 00:00:00,7.65,10.23,5.18,15.33,9.64,3.08,11.94,467.91,10.2 -1994-11-04 00:00:00,7.67,9.95,5.13,14.88,9.31,3.02,11.86,462.28,10.02 -1994-11-07 00:00:00,7.62,10.04,5.16,15.04,9.39,3.04,11.94,463.07,10.08 -1994-11-08 00:00:00,7.68,10.41,5.25,15.28,9.69,3.13,12.03,465.65,10.02 -1994-11-09 00:00:00,7.48,10.26,5.21,15.49,9.73,3.13,11.94,465.4,9.94 -1994-11-10 00:00:00,7.42,10.18,5.21,15.07,9.71,3.13,11.82,464.37,9.81 -1994-11-11 00:00:00,7.42,10.14,5.21,15.14,9.6,3.06,12.36,462.35,9.79 -1994-11-14 00:00:00,7.63,10.47,5.21,15.25,9.73,3.17,12.45,466.04,9.85 -1994-11-15 00:00:00,7.68,10.2,5.21,15.3,9.65,3.17,12.32,465.03,9.88 -1994-11-16 00:00:00,7.67,10.09,5.26,15.22,9.65,3.17,12.32,465.62,10.0 -1994-11-17 00:00:00,7.59,9.86,5.21,15.3,9.62,3.16,12.4,463.57,10.04 -1994-11-18 00:00:00,7.67,9.89,5.21,15.33,9.78,3.15,12.28,461.47,10.0 -1994-11-21 00:00:00,7.63,9.42,5.06,15.25,9.6,3.12,12.36,458.3,9.96 -1994-11-22 00:00:00,7.39,9.24,4.97,14.6,9.38,3.05,12.07,450.09,9.98 -1994-11-23 00:00:00,7.15,9.12,4.94,14.65,9.42,3.02,11.9,449.93,9.98 -1994-11-25 00:00:00,7.36,9.33,4.94,14.81,9.4,3.06,12.03,452.29,10.02 -1994-11-28 00:00:00,7.44,9.35,5.05,14.78,9.49,3.11,12.07,454.16,10.02 -1994-11-29 00:00:00,7.42,9.45,4.98,14.78,9.49,3.15,12.03,455.17,9.98 -1994-11-30 00:00:00,7.48,9.21,4.92,14.81,9.49,3.09,11.82,453.69,9.96 -1994-12-01 00:00:00,7.41,8.95,4.88,14.54,9.51,3.07,11.78,448.92,9.79 -1994-12-02 00:00:00,7.51,9.04,5.04,14.94,9.56,3.11,12.03,453.3,9.96 -1994-12-05 00:00:00,7.57,9.19,5.01,14.94,9.54,3.11,12.17,453.32,9.85 -1994-12-06 00:00:00,7.59,9.28,4.97,14.99,9.54,3.11,12.09,453.11,9.92 -1994-12-07 00:00:00,7.52,9.05,5.06,14.91,9.51,3.09,12.09,451.23,10.02 -1994-12-08 00:00:00,7.25,8.87,4.93,14.67,9.36,3.07,11.84,445.45,10.04 -1994-12-09 00:00:00,7.23,8.96,5.01,14.96,9.42,3.1,11.88,446.96,10.16 -1994-12-12 00:00:00,7.35,9.02,5.06,14.78,9.47,3.1,12.05,449.47,10.23 -1994-12-13 00:00:00,7.27,8.99,5.12,14.6,9.49,3.08,12.05,450.15,10.06 -1994-12-14 00:00:00,7.32,9.36,5.21,14.7,9.67,3.11,12.0,454.97,10.06 -1994-12-15 00:00:00,7.48,9.18,5.24,14.75,9.73,3.12,12.09,455.34,10.0 -1994-12-16 00:00:00,7.65,9.21,5.37,14.67,9.82,3.11,12.38,458.8,10.18 -1994-12-19 00:00:00,7.51,9.67,5.34,14.99,9.85,3.08,12.34,457.91,10.14 -1994-12-20 00:00:00,7.4,9.52,5.32,14.81,9.71,2.94,12.21,457.1,10.1 -1994-12-21 00:00:00,7.59,9.49,5.33,15.41,9.67,3.02,12.26,459.61,10.14 -1994-12-22 00:00:00,7.65,9.55,5.4,15.38,9.71,2.98,12.21,459.68,10.16 -1994-12-23 00:00:00,7.71,9.61,5.36,15.38,9.82,2.99,12.21,459.83,10.14 -1994-12-27 00:00:00,7.8,9.67,5.52,15.54,9.87,2.98,12.38,462.47,10.18 -1994-12-28 00:00:00,7.81,9.67,5.51,15.28,9.8,3.0,12.34,460.86,10.18 -1994-12-29 00:00:00,7.81,9.76,5.56,15.56,9.78,3.04,12.34,461.17,10.12 -1994-12-30 00:00:00,7.94,9.64,5.49,15.38,9.73,3.0,12.21,459.27,10.02 -1995-01-03 00:00:00,7.83,9.49,5.49,15.43,9.69,2.96,12.13,459.11,10.0 -1995-01-04 00:00:00,7.86,9.73,5.49,15.56,9.78,2.98,11.96,460.71,10.04 -1995-01-05 00:00:00,7.8,9.61,5.51,15.49,9.73,2.93,11.71,460.34,10.06 -1995-01-06 00:00:00,8.03,10.38,5.48,15.72,9.67,2.98,11.71,460.68,10.06 -1995-01-09 00:00:00,8.11,10.18,5.43,15.8,9.56,2.96,11.75,460.83,9.98 -1995-01-10 00:00:00,8.07,10.8,5.47,16.03,9.76,3.0,11.63,461.68,10.02 -1995-01-11 00:00:00,8.05,11.56,5.55,15.9,9.76,3.01,11.46,461.66,9.96 -1995-01-12 00:00:00,8.1,11.22,5.53,15.9,9.67,3.01,11.41,461.64,9.96 -1995-01-13 00:00:00,8.17,11.09,5.6,15.98,9.65,3.08,11.54,465.97,10.04 -1995-01-16 00:00:00,8.11,11.0,5.67,16.22,9.73,3.15,11.67,469.38,10.02 -1995-01-17 00:00:00,7.98,11.12,5.6,16.22,9.78,3.17,11.84,470.05,10.12 -1995-01-18 00:00:00,8.1,11.28,5.63,16.17,9.76,3.2,11.67,469.71,10.25 -1995-01-19 00:00:00,8.01,11.34,5.49,16.01,9.69,3.12,11.63,466.95,10.25 -1995-01-20 00:00:00,7.89,10.54,5.49,15.77,9.69,3.03,11.58,464.78,10.35 -1995-01-23 00:00:00,7.9,10.44,5.41,15.54,9.94,3.08,11.71,465.82,10.51 -1995-01-24 00:00:00,7.77,10.29,5.43,15.49,9.8,3.05,11.79,465.86,10.31 -1995-01-25 00:00:00,7.86,10.13,5.47,15.14,9.73,3.03,11.96,467.44,10.35 -1995-01-26 00:00:00,7.74,9.76,5.49,15.14,9.94,2.94,12.0,468.32,10.41 -1995-01-27 00:00:00,7.42,9.86,5.44,15.17,10.16,2.94,12.26,470.39,10.31 -1995-01-30 00:00:00,7.14,9.92,5.51,15.01,10.25,2.9,12.26,468.51,10.31 -1995-01-31 00:00:00,7.24,9.98,5.55,15.09,10.34,2.92,12.43,470.42,10.31 -1995-02-01 00:00:00,7.4,9.92,5.51,15.41,10.09,2.9,12.51,470.4,10.25 -1995-02-02 00:00:00,7.43,10.29,5.52,15.56,10.11,2.9,12.8,472.79,10.18 -1995-02-03 00:00:00,7.73,10.01,5.62,15.62,10.2,2.95,13.1,478.65,10.35 -1995-02-06 00:00:00,7.37,10.01,5.6,15.62,10.27,2.99,13.02,481.14,10.37 -1995-02-07 00:00:00,7.37,10.09,5.6,15.59,10.29,3.0,12.76,480.81,10.39 -1995-02-08 00:00:00,7.19,10.46,5.6,15.59,10.27,3.04,12.43,481.19,10.43 -1995-02-09 00:00:00,7.36,10.78,5.63,15.75,10.14,3.04,12.43,480.19,10.31 -1995-02-10 00:00:00,7.39,10.81,5.62,15.75,10.21,3.05,12.64,481.46,10.33 -1995-02-13 00:00:00,7.42,10.84,5.67,15.72,10.21,3.05,12.47,481.65,10.43 -1995-02-14 00:00:00,7.45,10.64,5.67,15.88,10.19,3.04,13.02,482.55,10.5 -1995-02-15 00:00:00,7.53,10.55,5.78,15.88,10.1,2.98,12.93,484.54,10.58 -1995-02-16 00:00:00,7.65,10.7,5.83,15.85,10.1,2.99,13.02,485.22,10.68 -1995-02-17 00:00:00,7.44,10.53,5.78,15.75,9.94,2.97,13.02,481.97,10.58 -1995-02-21 00:00:00,7.61,10.16,5.8,15.59,9.99,2.93,13.14,482.72,10.68 -1995-02-22 00:00:00,7.46,10.12,5.94,15.59,10.14,3.02,13.14,485.07,10.7 -1995-02-23 00:00:00,7.57,9.96,5.97,15.59,10.19,3.03,13.23,486.91,10.64 -1995-02-24 00:00:00,7.46,9.67,5.9,15.72,10.21,3.01,13.35,488.11,10.58 -1995-02-27 00:00:00,7.28,9.48,5.78,15.54,10.16,3.03,13.06,483.81,10.62 -1995-02-28 00:00:00,7.19,9.79,5.9,15.8,10.14,3.09,13.18,487.39,10.66 -1995-03-01 00:00:00,7.0,9.91,5.88,15.83,10.12,3.11,13.06,485.65,10.61 -1995-03-02 00:00:00,7.09,9.91,5.77,16.22,10.39,3.13,13.06,485.13,10.58 -1995-03-03 00:00:00,7.23,9.98,5.75,16.77,10.32,3.13,13.1,485.42,10.56 -1995-03-06 00:00:00,7.03,9.85,5.73,16.85,10.36,3.16,13.29,485.63,10.68 -1995-03-07 00:00:00,6.86,9.5,5.71,16.74,10.36,3.21,12.99,482.12,10.68 -1995-03-08 00:00:00,7.0,9.81,5.78,16.74,10.39,3.36,12.91,483.14,10.81 -1995-03-09 00:00:00,6.93,9.85,5.78,16.93,10.39,3.33,13.03,483.16,10.77 -1995-03-10 00:00:00,7.05,9.79,5.94,17.03,10.54,3.37,13.46,489.57,10.85 -1995-03-13 00:00:00,7.03,9.45,5.93,17.22,10.77,3.39,13.37,490.05,10.83 -1995-03-14 00:00:00,6.89,8.67,5.97,17.11,10.77,3.52,13.46,492.89,10.81 -1995-03-15 00:00:00,7.03,8.67,5.83,17.16,10.97,3.46,13.5,491.88,10.77 -1995-03-16 00:00:00,7.05,8.74,5.96,17.53,11.01,3.44,13.54,495.41,10.89 -1995-03-17 00:00:00,6.93,8.71,5.89,17.35,11.17,3.44,13.58,495.52,10.89 -1995-03-20 00:00:00,7.09,8.74,5.88,17.53,11.08,3.49,13.63,496.14,10.87 -1995-03-21 00:00:00,6.98,8.98,5.9,17.27,11.03,3.46,13.79,495.07,10.77 -1995-03-22 00:00:00,7.37,9.43,5.93,17.14,10.99,3.48,13.84,495.67,10.95 -1995-03-23 00:00:00,7.37,9.2,5.92,17.5,10.92,3.57,13.75,495.95,10.93 -1995-03-24 00:00:00,7.53,9.36,5.97,17.56,11.06,3.63,13.63,500.97,10.99 -1995-03-27 00:00:00,7.44,9.22,5.93,17.85,11.06,3.59,13.67,503.2,11.08 -1995-03-28 00:00:00,7.49,8.52,5.96,17.74,11.03,3.62,13.63,503.9,11.02 -1995-03-29 00:00:00,7.44,8.52,5.97,17.43,10.72,3.55,13.58,503.12,11.08 -1995-03-30 00:00:00,7.9,8.77,5.94,17.29,10.72,3.54,13.2,502.22,11.04 -1995-03-31 00:00:00,7.65,8.74,5.86,17.24,10.63,3.49,13.24,500.71,11.12 -1995-04-03 00:00:00,7.6,8.8,5.93,17.4,10.63,3.44,13.41,501.85,11.06 -1995-04-04 00:00:00,7.69,8.4,5.96,17.43,10.7,3.43,13.5,505.24,11.23 -1995-04-05 00:00:00,7.86,8.61,5.96,17.64,10.66,3.47,13.54,505.57,11.35 -1995-04-06 00:00:00,7.72,9.11,6.0,17.61,10.59,3.44,13.5,506.08,11.14 -1995-04-07 00:00:00,7.72,9.11,5.96,17.64,10.54,3.42,13.5,506.42,11.16 -1995-04-10 00:00:00,7.88,9.08,5.97,18.06,10.72,3.48,13.67,507.01,11.16 -1995-04-11 00:00:00,7.95,9.36,5.94,18.21,10.74,3.54,13.67,505.53,11.14 -1995-04-12 00:00:00,7.86,9.67,5.94,18.29,10.74,3.52,13.84,507.17,11.16 -1995-04-13 00:00:00,8.25,9.48,5.97,18.13,11.01,3.56,13.88,509.23,11.2 -1995-04-17 00:00:00,8.02,9.51,5.85,18.45,10.81,3.8,13.71,506.13,11.23 -1995-04-18 00:00:00,7.92,9.29,5.86,18.53,11.19,3.77,13.88,505.37,11.35 -1995-04-19 00:00:00,8.09,9.02,5.94,18.29,11.21,3.74,13.71,504.92,11.43 -1995-04-20 00:00:00,8.13,9.33,5.86,18.69,11.26,3.7,13.67,505.29,11.64 -1995-04-21 00:00:00,8.25,9.7,5.97,19.24,11.3,3.68,13.96,508.49,11.56 -1995-04-24 00:00:00,8.41,9.67,6.02,19.63,11.44,3.82,14.01,512.89,11.62 -1995-04-25 00:00:00,8.32,9.36,6.05,19.66,11.39,3.93,13.96,512.1,11.68 -1995-04-26 00:00:00,8.13,9.48,6.06,20.0,11.46,3.91,14.09,512.66,11.64 -1995-04-27 00:00:00,8.02,9.39,6.12,20.34,11.33,3.86,13.92,513.55,11.62 -1995-04-28 00:00:00,8.27,9.48,6.08,19.87,11.61,4.02,14.09,514.71,11.6 -1995-05-01 00:00:00,8.2,9.48,6.12,19.34,11.59,4.03,14.22,514.26,11.83 -1995-05-02 00:00:00,8.29,9.45,6.11,19.5,11.61,3.91,14.56,514.86,11.83 -1995-05-03 00:00:00,8.45,9.45,6.15,19.79,11.75,3.97,15.15,520.48,11.81 -1995-05-04 00:00:00,8.13,9.54,6.2,19.74,11.81,4.0,15.19,520.54,11.85 -1995-05-05 00:00:00,7.71,9.64,6.23,19.6,11.7,3.93,15.02,520.12,11.85 -1995-05-08 00:00:00,8.06,10.04,6.35,19.74,11.88,3.92,15.28,523.96,11.87 -1995-05-09 00:00:00,7.96,10.22,6.36,19.71,11.88,3.92,15.11,523.56,11.79 -1995-05-10 00:00:00,8.03,10.27,6.42,19.76,11.96,3.89,15.45,524.36,11.85 -1995-05-11 00:00:00,8.24,10.16,6.34,19.84,12.12,4.0,15.45,524.37,11.79 -1995-05-12 00:00:00,8.64,10.81,6.4,19.87,11.63,3.97,15.02,525.55,11.79 -1995-05-15 00:00:00,8.8,10.81,6.25,20.0,11.43,3.99,15.49,527.74,11.89 -1995-05-16 00:00:00,8.7,10.84,6.17,19.92,11.4,4.17,15.36,528.19,12.02 -1995-05-17 00:00:00,8.61,10.91,6.24,19.97,11.54,4.22,15.36,527.07,12.02 -1995-05-18 00:00:00,8.47,10.75,6.13,19.6,11.13,4.16,14.94,519.58,11.91 -1995-05-19 00:00:00,8.7,10.6,6.13,19.66,11.25,4.19,15.19,519.19,11.81 -1995-05-22 00:00:00,8.87,10.94,6.2,20.05,11.43,4.29,15.15,523.65,11.79 -1995-05-23 00:00:00,9.01,10.88,6.25,20.47,11.63,4.35,15.4,528.59,11.98 -1995-05-24 00:00:00,8.91,10.78,6.2,20.24,11.67,4.3,15.91,528.61,12.06 -1995-05-25 00:00:00,8.68,10.75,6.13,20.37,11.65,4.38,15.74,528.59,12.04 -1995-05-26 00:00:00,8.66,10.61,6.12,20.0,11.51,4.3,15.74,523.65,11.77 -1995-05-30 00:00:00,8.64,10.44,6.15,19.5,11.51,4.08,16.04,523.58,11.85 -1995-05-31 00:00:00,8.61,10.33,6.3,19.58,11.87,4.16,16.59,533.4,12.04 -1995-06-01 00:00:00,8.57,10.49,6.3,19.84,11.94,4.13,16.29,533.49,12.02 -1995-06-02 00:00:00,8.33,10.47,6.16,19.76,11.83,4.08,16.0,532.51,11.91 -1995-06-05 00:00:00,8.54,10.81,6.28,19.21,11.83,4.16,15.74,535.6,11.98 -1995-06-06 00:00:00,8.43,10.94,6.25,19.24,11.92,4.08,15.68,535.55,11.94 -1995-06-07 00:00:00,8.43,10.72,6.23,18.92,11.9,4.13,15.68,533.13,11.98 -1995-06-08 00:00:00,8.43,10.67,6.17,18.81,11.92,4.13,15.94,532.35,12.0 -1995-06-09 00:00:00,8.29,10.81,6.04,18.76,11.87,4.17,15.94,527.94,11.91 -1995-06-12 00:00:00,8.24,10.98,6.16,19.0,11.9,4.11,15.94,530.88,11.87 -1995-06-13 00:00:00,8.2,10.94,6.24,19.32,12.12,4.12,15.89,536.05,11.89 -1995-06-14 00:00:00,8.24,10.84,6.27,19.58,12.26,4.12,15.98,536.47,11.91 -1995-06-15 00:00:00,8.27,10.84,6.27,19.58,12.17,4.17,15.81,537.12,12.04 -1995-06-16 00:00:00,8.29,10.91,6.23,19.5,12.35,4.27,15.85,539.83,12.17 -1995-06-19 00:00:00,8.57,11.03,6.28,19.74,12.44,4.41,15.85,545.22,12.08 -1995-06-20 00:00:00,8.5,11.78,6.21,20.58,12.28,4.49,15.94,544.98,11.83 -1995-06-21 00:00:00,8.66,12.27,6.2,20.45,12.5,4.44,15.94,543.98,11.68 -1995-06-22 00:00:00,8.77,12.21,6.21,20.53,12.77,4.51,16.06,551.07,11.64 -1995-06-23 00:00:00,8.77,12.12,6.2,20.76,12.77,4.48,15.98,549.71,11.77 -1995-06-26 00:00:00,8.8,11.96,6.17,20.68,12.48,4.41,15.94,544.13,11.83 -1995-06-27 00:00:00,8.77,11.53,6.16,20.08,12.14,4.27,15.51,542.43,11.91 -1995-06-28 00:00:00,8.89,11.59,6.16,20.24,12.26,4.32,15.51,544.73,12.17 -1995-06-29 00:00:00,8.98,11.74,6.08,20.42,12.28,4.39,15.6,543.87,12.15 -1995-06-30 00:00:00,9.28,11.54,6.16,20.21,12.12,4.44,15.47,544.75,11.91 -1995-07-03 00:00:00,9.45,11.67,6.24,20.55,12.16,4.47,15.34,547.09,11.96 -1995-07-05 00:00:00,9.77,11.56,6.31,20.37,11.94,4.45,14.92,547.26,11.94 -1995-07-06 00:00:00,10.09,11.68,6.45,20.81,12.1,4.56,14.96,553.99,12.19 -1995-07-07 00:00:00,10.37,12.09,6.56,20.95,11.65,4.7,14.92,556.37,12.08 -1995-07-10 00:00:00,10.09,12.09,6.53,21.18,11.72,4.86,14.96,557.19,11.96 -1995-07-11 00:00:00,9.95,11.71,6.45,21.0,11.92,4.74,15.0,554.78,12.04 -1995-07-12 00:00:00,10.35,11.68,6.47,21.39,11.85,4.91,15.17,560.89,12.12 -1995-07-13 00:00:00,10.51,11.84,6.4,21.84,11.94,4.92,15.38,561.0,12.12 -1995-07-14 00:00:00,10.6,12.12,6.36,21.87,12.01,5.09,15.43,559.89,12.08 -1995-07-17 00:00:00,10.51,12.18,6.51,22.58,12.08,5.35,15.38,562.72,12.19 -1995-07-18 00:00:00,10.35,11.96,6.45,22.53,12.32,5.0,15.34,558.46,12.1 -1995-07-19 00:00:00,10.19,11.31,6.36,21.32,12.39,4.64,15.17,550.98,12.21 -1995-07-20 00:00:00,10.16,11.7,6.49,21.92,12.32,4.72,14.92,553.54,12.34 -1995-07-21 00:00:00,10.19,10.87,6.55,21.81,12.41,4.52,15.09,553.62,12.36 -1995-07-24 00:00:00,10.02,11.28,6.52,22.63,12.53,4.6,15.26,556.63,12.27 -1995-07-25 00:00:00,10.28,11.37,6.52,22.81,12.57,4.73,15.51,561.1,12.21 -1995-07-26 00:00:00,10.23,11.28,6.48,22.95,12.66,4.72,15.85,561.61,12.29 -1995-07-27 00:00:00,10.4,11.63,6.48,23.32,12.84,4.74,15.72,565.22,12.27 -1995-07-28 00:00:00,10.53,11.31,6.42,23.29,12.88,4.55,15.81,562.93,12.12 -1995-07-31 00:00:00,10.56,11.18,6.45,22.92,12.88,4.44,15.94,562.06,12.23 -1995-08-01 00:00:00,10.37,10.81,6.41,23.08,12.77,4.4,15.81,559.64,12.04 -1995-08-02 00:00:00,10.37,11.03,6.27,22.63,12.66,4.37,15.68,558.8,12.02 -1995-08-03 00:00:00,10.6,11.18,6.27,22.95,12.55,4.48,15.51,558.75,12.04 -1995-08-04 00:00:00,10.53,11.0,6.3,22.87,12.68,4.61,15.64,558.94,11.91 -1995-08-07 00:00:00,10.72,10.78,6.42,22.92,12.71,4.6,15.81,560.03,11.89 -1995-08-08 00:00:00,10.69,10.56,6.45,23.13,12.68,4.59,15.81,560.39,11.87 -1995-08-09 00:00:00,10.55,10.72,6.41,23.18,12.64,4.74,15.72,559.71,11.96 -1995-08-10 00:00:00,10.46,10.63,6.34,23.03,12.62,4.62,15.68,557.45,11.94 -1995-08-11 00:00:00,10.55,10.7,6.31,23.05,12.38,4.74,15.72,555.11,11.83 -1995-08-14 00:00:00,10.53,10.78,6.41,23.37,12.54,4.85,15.98,559.74,11.91 -1995-08-15 00:00:00,10.37,10.95,6.41,23.63,12.45,4.83,15.89,558.57,11.87 -1995-08-16 00:00:00,10.83,11.09,6.37,23.71,12.27,4.85,15.6,559.97,11.81 -1995-08-17 00:00:00,10.95,11.12,6.3,23.97,12.18,4.87,15.38,559.04,11.7 -1995-08-18 00:00:00,10.81,11.19,6.26,23.5,12.16,4.77,15.43,559.21,11.74 -1995-08-21 00:00:00,10.9,11.0,6.29,22.53,12.2,4.64,15.38,558.11,11.72 -1995-08-22 00:00:00,11.11,11.15,6.29,22.71,12.27,4.88,15.34,559.52,11.7 -1995-08-23 00:00:00,10.97,11.34,6.26,22.5,12.31,4.81,15.17,557.14,11.66 -1995-08-24 00:00:00,10.86,11.4,6.31,22.13,12.27,4.72,15.47,557.46,11.7 -1995-08-25 00:00:00,10.92,11.15,6.38,21.92,12.27,4.64,15.47,560.1,11.85 -1995-08-28 00:00:00,10.9,10.72,6.42,21.44,12.43,4.42,15.43,559.05,11.74 -1995-08-29 00:00:00,11.06,10.75,6.44,21.6,12.45,4.51,15.38,560.0,11.72 -1995-08-30 00:00:00,10.97,10.81,6.45,21.44,12.45,4.58,15.55,560.92,11.7 -1995-08-31 00:00:00,10.62,10.72,6.44,21.81,12.45,4.54,15.38,561.88,11.72 -1995-09-01 00:00:00,10.58,10.7,6.42,21.68,12.4,4.41,15.47,563.84,11.89 -1995-09-05 00:00:00,10.67,10.84,6.42,21.34,12.52,4.67,15.72,569.17,12.0 -1995-09-06 00:00:00,10.74,10.9,6.49,21.26,12.54,4.59,15.79,570.17,11.98 -1995-09-07 00:00:00,10.74,11.15,6.47,20.97,12.56,4.65,15.75,570.29,12.17 -1995-09-08 00:00:00,10.83,11.15,6.42,20.86,12.58,4.69,15.62,572.68,12.15 -1995-09-11 00:00:00,11.11,11.03,6.44,20.34,12.63,4.79,15.79,573.91,12.19 -1995-09-12 00:00:00,11.11,10.7,6.56,20.57,12.58,4.73,16.22,576.51,12.38 -1995-09-13 00:00:00,10.9,10.56,6.63,19.97,12.67,4.72,16.65,578.77,12.51 -1995-09-14 00:00:00,10.86,9.97,6.82,19.7,12.97,4.66,16.82,583.61,12.6 -1995-09-15 00:00:00,10.51,8.94,6.98,19.47,12.9,4.59,16.99,583.35,12.55 -1995-09-18 00:00:00,10.25,9.14,6.82,19.86,12.88,4.52,17.37,582.77,12.38 -1995-09-19 00:00:00,10.04,9.16,6.78,20.42,13.01,4.58,17.29,584.2,12.49 -1995-09-20 00:00:00,9.95,9.13,6.78,20.2,12.92,4.57,17.41,586.77,12.45 -1995-09-21 00:00:00,10.04,9.22,6.79,19.91,13.31,4.45,17.16,583.0,12.38 -1995-09-22 00:00:00,9.88,9.24,6.89,19.81,13.13,4.41,17.5,581.73,12.34 -1995-09-25 00:00:00,9.65,9.35,7.04,19.57,13.33,4.43,17.71,581.81,12.4 -1995-09-26 00:00:00,9.48,9.32,7.02,19.6,13.42,4.33,17.67,581.41,12.23 -1995-09-27 00:00:00,9.69,9.03,6.99,19.91,13.46,4.35,17.46,581.04,12.28 -1995-09-28 00:00:00,9.81,9.41,6.96,19.81,13.26,4.49,17.5,585.87,12.36 -1995-09-29 00:00:00,9.83,9.28,7.01,19.94,13.37,4.44,17.41,584.41,12.32 -1995-10-02 00:00:00,9.74,9.38,6.99,19.73,13.26,4.33,17.41,581.72,12.23 -1995-10-03 00:00:00,9.39,9.38,6.95,20.02,13.49,4.36,17.76,582.34,12.34 -1995-10-04 00:00:00,9.2,9.07,7.0,19.78,13.62,4.23,18.23,581.47,12.53 -1995-10-05 00:00:00,9.6,9.1,6.93,19.94,13.62,4.3,17.84,582.63,12.49 -1995-10-06 00:00:00,9.88,8.89,6.92,19.86,13.94,4.22,17.76,582.49,12.55 -1995-10-09 00:00:00,9.81,8.68,6.92,19.41,13.82,4.08,17.67,578.37,12.53 -1995-10-10 00:00:00,9.88,8.65,6.89,19.15,13.73,4.11,17.71,577.52,12.57 -1995-10-11 00:00:00,9.79,8.69,6.84,19.52,13.73,4.25,17.67,579.46,12.49 -1995-10-12 00:00:00,9.53,8.8,6.92,19.62,13.8,4.3,17.59,583.1,12.45 -1995-10-13 00:00:00,9.6,8.97,6.93,19.52,14.0,4.24,17.33,584.5,12.75 -1995-10-16 00:00:00,9.83,9.0,6.92,19.83,14.0,4.26,17.76,583.03,12.7 -1995-10-17 00:00:00,9.62,9.13,7.04,20.44,13.98,4.48,17.54,586.78,12.75 -1995-10-18 00:00:00,9.44,9.32,7.07,20.34,14.09,4.7,17.59,587.44,12.75 -1995-10-19 00:00:00,9.51,8.66,7.18,20.73,14.25,4.75,18.18,590.65,12.81 -1995-10-20 00:00:00,9.51,8.76,7.11,20.12,14.39,4.69,17.97,587.46,12.92 -1995-10-23 00:00:00,9.0,8.76,6.99,20.89,14.57,4.73,17.97,585.06,12.79 -1995-10-24 00:00:00,9.37,8.76,6.93,20.68,14.93,4.79,17.93,586.54,12.92 -1995-10-25 00:00:00,9.23,8.66,6.93,20.28,14.79,4.71,18.05,582.47,13.04 -1995-10-26 00:00:00,9.02,8.69,6.88,20.23,14.5,4.81,17.8,576.72,12.79 -1995-10-27 00:00:00,9.16,8.66,6.85,20.36,14.57,4.91,18.05,579.7,12.72 -1995-10-30 00:00:00,9.6,8.79,6.95,20.73,14.73,5.05,17.97,583.25,12.96 -1995-10-31 00:00:00,9.48,9.05,6.96,20.52,14.7,4.91,17.97,581.5,13.02 -1995-11-01 00:00:00,9.55,9.13,6.85,20.44,14.75,4.83,17.97,584.22,13.09 -1995-11-02 00:00:00,9.62,9.13,6.99,21.02,14.66,4.91,18.05,589.72,12.83 -1995-11-03 00:00:00,9.71,9.1,6.9,21.42,14.48,4.89,18.18,590.57,12.98 -1995-11-06 00:00:00,9.71,9.5,6.92,21.21,14.46,4.78,17.84,588.46,12.85 -1995-11-07 00:00:00,9.69,9.88,6.99,20.84,14.75,4.57,17.84,586.32,12.72 -1995-11-08 00:00:00,9.78,9.69,7.14,20.68,14.82,4.68,18.44,591.71,13.06 -1995-11-09 00:00:00,9.83,9.81,7.15,20.81,14.68,4.86,18.23,593.26,13.06 -1995-11-10 00:00:00,10.11,9.91,7.22,20.6,14.45,4.76,18.18,592.72,13.0 -1995-11-13 00:00:00,10.11,10.19,7.22,20.6,14.81,4.73,18.4,592.3,13.15 -1995-11-14 00:00:00,9.92,10.34,7.21,20.18,15.06,4.62,18.05,589.29,13.22 -1995-11-15 00:00:00,9.78,10.22,7.26,20.2,15.56,4.62,18.44,593.96,13.39 -1995-11-16 00:00:00,9.81,9.95,7.44,20.23,15.26,4.41,18.44,597.34,13.41 -1995-11-17 00:00:00,9.81,10.0,7.37,20.12,15.28,4.29,18.7,600.07,13.67 -1995-11-20 00:00:00,9.78,9.63,7.32,19.67,15.15,4.22,18.61,596.85,13.67 -1995-11-21 00:00:00,10.3,9.66,7.41,19.99,15.47,4.32,18.74,600.24,13.73 -1995-11-22 00:00:00,10.79,9.66,7.29,20.15,15.35,4.29,18.57,598.4,13.56 -1995-11-24 00:00:00,10.83,10.05,7.26,20.28,15.31,4.32,18.57,599.97,13.54 -1995-11-27 00:00:00,10.86,9.85,7.19,20.28,15.28,4.29,18.35,601.32,13.62 -1995-11-28 00:00:00,10.74,10.0,7.37,20.52,15.44,4.49,18.74,606.45,13.62 -1995-11-29 00:00:00,10.9,9.81,7.44,20.55,15.58,4.41,18.7,607.64,13.56 -1995-11-30 00:00:00,10.93,9.53,7.39,20.44,15.69,4.28,18.91,605.37,13.32 -1995-12-01 00:00:00,10.72,9.41,7.55,20.04,15.56,4.24,18.82,606.98,13.39 -1995-12-04 00:00:00,10.76,9.88,7.65,20.33,15.9,4.32,19.25,613.68,13.54 -1995-12-05 00:00:00,10.88,9.88,7.69,20.26,16.21,4.22,19.59,617.68,13.73 -1995-12-06 00:00:00,10.88,9.69,7.85,20.26,16.44,4.45,19.66,620.18,13.86 -1995-12-07 00:00:00,10.62,9.64,7.8,20.04,16.46,4.44,19.87,616.17,13.91 -1995-12-08 00:00:00,10.46,9.85,7.74,20.49,16.35,4.64,19.83,617.48,14.08 -1995-12-11 00:00:00,10.27,9.66,7.79,20.36,16.33,4.57,19.75,619.52,14.48 -1995-12-12 00:00:00,10.16,9.5,7.92,20.18,16.44,4.49,19.83,618.78,14.55 -1995-12-13 00:00:00,10.2,9.6,7.92,19.99,16.46,4.51,19.83,621.69,14.77 -1995-12-14 00:00:00,10.2,9.56,7.85,19.83,16.58,4.36,19.79,616.92,14.29 -1995-12-15 00:00:00,10.2,8.81,7.96,19.09,16.55,4.34,19.75,616.34,14.16 -1995-12-18 00:00:00,10.06,8.06,7.99,18.83,16.15,4.27,19.49,606.81,13.9 -1995-12-19 00:00:00,10.55,8.19,7.92,19.43,15.76,4.46,19.57,611.93,14.12 -1995-12-20 00:00:00,10.48,8.16,7.7,18.91,15.81,4.28,18.76,605.94,13.84 -1995-12-21 00:00:00,9.97,8.12,7.76,19.22,16.01,4.42,18.67,610.49,13.95 -1995-12-22 00:00:00,9.97,8.06,7.88,19.3,15.67,4.44,19.06,611.95,14.01 -1995-12-26 00:00:00,9.62,8.02,7.94,19.41,15.67,4.43,19.1,614.3,14.03 -1995-12-27 00:00:00,9.29,8.1,7.95,19.46,15.74,4.36,19.23,614.53,14.12 -1995-12-28 00:00:00,9.43,8.0,7.88,19.06,15.58,4.29,19.27,614.12,14.27 -1995-12-29 00:00:00,9.88,7.97,7.97,19.33,15.49,4.31,19.15,615.93,13.97 -1996-01-02 00:00:00,10.16,8.03,8.14,19.22,15.26,4.41,19.1,620.73,13.88 -1996-01-03 00:00:00,10.32,8.03,8.15,18.88,15.87,4.27,19.15,621.32,13.92 -1996-01-04 00:00:00,10.41,7.89,8.06,18.38,15.72,4.29,19.1,617.7,14.01 -1996-01-05 00:00:00,10.34,8.56,8.07,18.75,15.72,4.24,19.06,616.71,14.36 -1996-01-08 00:00:00,9.78,8.66,8.13,18.85,15.92,4.24,19.06,618.46,14.53 -1996-01-09 00:00:00,9.61,8.19,8.05,18.35,16.01,3.94,18.97,609.45,14.25 -1996-01-10 00:00:00,9.43,8.56,7.79,18.46,15.49,4.05,18.85,598.48,13.82 -1996-01-11 00:00:00,9.57,8.75,7.81,18.46,15.17,4.25,18.97,602.69,13.9 -1996-01-12 00:00:00,9.53,8.47,7.78,18.27,15.53,4.21,19.32,601.81,13.71 -1996-01-15 00:00:00,9.43,8.53,7.78,17.58,15.67,4.05,19.32,599.82,13.56 -1996-01-16 00:00:00,9.41,8.64,7.85,18.4,15.72,4.24,19.62,608.44,13.75 -1996-01-17 00:00:00,9.43,8.5,7.9,18.54,15.83,4.17,19.62,606.37,13.82 -1996-01-18 00:00:00,9.6,7.99,8.03,20.36,15.72,4.3,19.79,608.24,13.95 -1996-01-19 00:00:00,9.81,7.47,8.22,21.58,15.65,4.51,19.7,611.83,13.97 -1996-01-22 00:00:00,9.76,7.62,8.2,21.63,15.72,4.52,19.79,613.4,13.71 -1996-01-23 00:00:00,9.99,7.91,8.08,21.79,15.9,4.4,19.92,612.79,13.43 -1996-01-24 00:00:00,9.95,8.06,8.17,22.64,16.98,4.48,20.09,619.96,13.41 -1996-01-25 00:00:00,9.85,7.56,8.28,22.03,16.85,4.39,20.26,617.03,13.56 -1996-01-26 00:00:00,9.88,7.66,8.36,22.16,16.89,4.44,20.26,621.62,13.73 -1996-01-29 00:00:00,10.09,7.28,8.29,22.53,17.07,4.44,20.6,624.22,13.65 -1996-01-30 00:00:00,10.51,6.83,8.36,22.98,17.46,4.46,20.47,630.15,13.54 -1996-01-31 00:00:00,10.41,6.91,8.5,22.95,17.39,4.54,20.43,636.02,13.82 -1996-02-01 00:00:00,10.29,7.09,8.53,23.06,17.1,4.62,20.6,638.46,13.97 -1996-02-02 00:00:00,10.5,7.31,8.54,23.19,17.37,4.57,20.43,635.84,13.9 -1996-02-05 00:00:00,10.38,7.31,8.65,23.75,17.73,4.77,20.6,641.43,13.9 -1996-02-06 00:00:00,10.45,7.41,8.76,24.27,17.59,4.74,20.86,646.33,14.01 -1996-02-07 00:00:00,10.64,7.06,8.68,23.88,17.57,4.76,22.06,649.93,14.03 -1996-02-08 00:00:00,10.69,6.97,8.8,24.06,17.89,4.86,21.89,656.07,14.36 -1996-02-09 00:00:00,10.57,6.94,8.79,24.06,17.96,4.92,22.19,656.37,14.36 -1996-02-12 00:00:00,10.78,7.09,8.82,24.43,17.91,4.89,22.06,661.45,14.49 -1996-02-13 00:00:00,10.64,7.03,8.83,24.09,17.93,4.89,21.8,660.51,14.49 -1996-02-14 00:00:00,10.59,6.91,8.72,24.22,17.68,4.85,21.5,655.58,14.36 -1996-02-15 00:00:00,10.48,7.0,8.64,24.94,17.29,4.84,21.37,651.32,14.38 -1996-02-16 00:00:00,10.45,6.88,8.58,25.02,17.11,4.81,21.07,647.98,14.16 -1996-02-20 00:00:00,10.17,7.25,8.53,25.25,16.84,4.8,20.82,640.65,14.05 -1996-02-21 00:00:00,10.24,7.41,8.62,25.49,17.25,4.91,21.29,648.1,14.23 -1996-02-22 00:00:00,10.55,7.47,8.82,26.31,17.29,5.03,21.72,658.86,14.51 -1996-02-23 00:00:00,10.88,7.47,8.83,26.63,17.0,5.08,22.57,659.08,14.29 -1996-02-26 00:00:00,10.48,7.38,8.69,26.47,17.04,4.94,22.27,650.46,13.97 -1996-02-27 00:00:00,10.31,7.16,8.61,27.3,17.0,4.92,21.97,647.24,13.79 -1996-02-28 00:00:00,10.24,6.94,8.43,27.0,17.06,4.92,21.72,644.75,13.6 -1996-02-29 00:00:00,10.67,6.88,8.36,26.0,17.0,4.85,21.67,640.43,13.82 -1996-03-01 00:00:00,10.74,6.72,8.51,25.04,17.45,4.69,21.97,644.37,13.86 -1996-03-04 00:00:00,10.9,6.56,8.68,24.62,17.59,4.73,22.62,650.81,13.79 -1996-03-05 00:00:00,10.88,6.66,8.72,25.23,17.5,4.82,22.87,655.79,14.05 -1996-03-06 00:00:00,10.95,6.55,8.68,24.8,17.43,4.76,22.13,652.0,14.29 -1996-03-07 00:00:00,11.02,6.45,8.68,24.83,17.86,4.78,22.38,653.65,14.38 -1996-03-08 00:00:00,10.9,6.5,8.33,24.22,17.27,4.67,21.52,633.5,13.77 -1996-03-11 00:00:00,11.53,6.47,8.52,24.86,17.31,4.74,21.65,640.02,13.82 -1996-03-12 00:00:00,11.51,6.45,8.36,24.22,17.11,4.7,22.04,637.09,13.86 -1996-03-13 00:00:00,11.56,6.44,8.31,24.57,16.88,4.95,21.7,638.55,13.9 -1996-03-14 00:00:00,11.53,6.41,8.37,24.78,16.84,4.89,21.57,640.87,14.08 -1996-03-15 00:00:00,11.44,6.47,8.44,25.41,17.09,5.03,21.44,641.43,13.73 -1996-03-18 00:00:00,11.93,6.53,8.68,26.42,17.15,5.17,21.74,652.65,14.16 -1996-03-19 00:00:00,11.88,6.44,8.59,25.81,16.81,5.25,21.65,651.69,14.4 -1996-03-20 00:00:00,11.6,6.31,8.61,24.8,17.04,5.14,21.74,649.98,13.99 -1996-03-21 00:00:00,11.77,6.28,8.62,24.35,17.11,4.95,21.7,649.19,13.99 -1996-03-22 00:00:00,11.7,6.34,8.73,24.22,17.18,4.97,21.74,650.62,14.14 -1996-03-25 00:00:00,11.77,6.0,8.8,23.06,17.02,4.91,21.82,650.04,14.53 -1996-03-26 00:00:00,11.91,5.97,8.8,23.48,17.2,5.05,21.91,652.97,14.95 -1996-03-27 00:00:00,11.79,6.31,8.79,23.59,16.93,5.03,21.91,648.91,14.62 -1996-03-28 00:00:00,12.07,6.05,8.72,23.27,16.86,5.02,21.87,648.94,14.55 -1996-03-29 00:00:00,11.74,6.14,8.68,23.59,16.77,5.06,21.74,645.5,14.16 -1996-04-01 00:00:00,11.56,6.38,8.84,23.4,16.95,5.05,22.0,653.73,14.42 -1996-04-02 00:00:00,11.53,6.25,8.86,24.94,17.31,5.14,22.0,655.26,14.55 -1996-04-03 00:00:00,11.32,6.14,8.94,25.39,17.11,5.13,22.17,655.88,14.58 -1996-04-04 00:00:00,11.63,6.03,8.95,24.96,17.2,5.13,22.13,655.86,14.84 -1996-04-08 00:00:00,11.86,6.09,8.87,25.31,16.75,5.1,21.61,644.24,14.49 -1996-04-09 00:00:00,12.07,6.5,8.73,24.99,16.59,4.99,21.39,642.19,14.49 -1996-04-10 00:00:00,12.26,6.5,8.54,24.59,16.04,4.99,20.75,633.5,14.31 -1996-04-11 00:00:00,12.19,6.44,8.42,24.91,15.91,4.97,20.88,631.18,14.31 -1996-04-12 00:00:00,12.24,6.38,8.56,23.64,16.11,4.97,21.31,636.71,14.23 -1996-04-15 00:00:00,12.19,6.44,8.72,24.19,16.31,5.08,21.48,642.49,14.53 -1996-04-16 00:00:00,12.12,6.47,8.66,24.49,16.56,5.17,21.27,645.0,14.53 -1996-04-17 00:00:00,12.02,6.31,8.72,22.31,16.47,5.2,21.05,641.61,14.51 -1996-04-18 00:00:00,12.09,6.19,8.83,22.37,16.65,5.35,21.09,643.61,14.23 -1996-04-19 00:00:00,11.91,6.26,8.81,22.34,16.52,5.39,20.97,645.07,14.25 -1996-04-22 00:00:00,11.84,6.28,8.86,22.74,16.36,5.54,21.01,647.89,14.25 -1996-04-23 00:00:00,11.81,6.19,8.84,22.68,16.45,5.53,20.88,651.58,14.71 -1996-04-24 00:00:00,11.72,6.06,8.8,22.63,16.31,5.48,20.41,650.17,14.64 -1996-04-25 00:00:00,11.67,6.22,8.69,22.95,16.38,5.54,20.58,652.87,14.69 -1996-04-26 00:00:00,11.74,6.19,8.68,22.84,16.47,5.57,20.58,653.46,14.66 -1996-04-29 00:00:00,11.84,6.19,8.65,23.03,16.7,5.53,21.09,654.16,14.92 -1996-04-30 00:00:00,11.7,6.09,8.61,22.84,16.81,5.56,21.82,654.17,14.77 -1996-05-01 00:00:00,11.67,6.09,8.68,22.87,16.86,5.65,22.0,654.58,14.53 -1996-05-02 00:00:00,11.57,5.94,8.63,22.87,16.27,5.48,21.65,643.38,14.36 -1996-05-03 00:00:00,11.81,5.97,8.58,22.92,16.27,5.45,21.52,641.63,14.31 -1996-05-06 00:00:00,12.42,6.41,8.5,22.68,16.31,5.49,21.52,640.81,14.36 -1996-05-07 00:00:00,12.23,6.72,8.4,22.45,16.31,5.56,21.82,638.26,14.31 -1996-05-08 00:00:00,12.23,6.69,8.47,22.52,16.7,5.61,22.21,644.77,14.53 -1996-05-09 00:00:00,12.16,6.53,8.58,22.76,16.52,5.57,22.55,645.44,14.56 -1996-05-10 00:00:00,12.4,6.81,8.66,22.63,16.65,5.64,22.51,652.09,14.65 -1996-05-13 00:00:00,12.47,6.76,8.75,22.89,16.84,5.83,22.86,661.51,14.83 -1996-05-14 00:00:00,12.37,6.88,8.79,23.1,16.81,5.84,22.77,665.6,14.87 -1996-05-15 00:00:00,12.4,7.12,8.77,23.19,17.06,5.78,22.98,665.42,14.85 -1996-05-16 00:00:00,12.33,7.09,8.9,23.1,17.13,5.75,23.37,664.85,14.71 -1996-05-17 00:00:00,12.26,6.91,9.05,23.58,17.31,5.75,23.71,668.91,14.87 -1996-05-20 00:00:00,11.9,6.99,9.4,23.85,17.38,5.73,23.76,673.15,15.31 -1996-05-21 00:00:00,11.98,6.78,9.27,23.61,17.45,5.65,23.5,672.76,15.11 -1996-05-22 00:00:00,11.83,6.51,9.46,23.48,17.7,5.74,23.46,678.42,15.4 -1996-05-23 00:00:00,11.76,6.56,9.43,23.24,17.61,5.82,23.33,676.0,15.42 -1996-05-24 00:00:00,11.81,6.69,9.47,23.13,17.82,5.82,23.24,678.51,15.26 -1996-05-28 00:00:00,11.57,6.59,9.22,23.03,17.77,5.76,22.81,672.23,15.15 -1996-05-29 00:00:00,11.65,6.22,9.16,22.73,17.57,5.75,22.86,667.93,14.93 -1996-05-30 00:00:00,11.79,6.38,9.27,22.81,17.84,5.81,23.03,671.7,15.2 -1996-05-31 00:00:00,11.6,6.53,9.22,22.71,17.77,5.83,22.86,669.12,14.87 -1996-06-03 00:00:00,11.62,6.19,9.23,22.41,17.7,5.81,23.03,667.68,14.74 -1996-06-04 00:00:00,11.5,6.05,9.34,22.52,17.93,5.79,22.94,672.56,14.89 -1996-06-05 00:00:00,11.22,6.28,9.4,22.31,18.11,5.94,23.19,678.44,14.89 -1996-06-06 00:00:00,10.89,6.06,9.61,21.54,17.93,5.88,23.37,673.03,14.8 -1996-06-07 00:00:00,11.22,6.09,9.57,21.64,18.0,5.96,23.28,673.31,15.07 -1996-06-10 00:00:00,11.22,6.03,9.58,21.83,18.14,5.92,23.19,672.16,14.98 -1996-06-11 00:00:00,11.27,6.0,9.43,21.93,18.25,6.0,23.11,670.97,14.91 -1996-06-12 00:00:00,11.22,6.06,9.5,21.91,18.25,6.14,23.11,669.04,14.76 -1996-06-13 00:00:00,11.18,6.16,9.55,21.96,17.84,6.12,23.11,667.92,14.74 -1996-06-14 00:00:00,11.03,5.99,9.55,21.62,17.89,6.04,22.85,665.85,14.65 -1996-06-17 00:00:00,11.06,5.91,9.61,21.8,17.79,6.12,22.93,665.16,14.83 -1996-06-18 00:00:00,11.22,5.69,9.54,21.54,17.48,6.01,23.19,662.06,14.8 -1996-06-19 00:00:00,11.18,5.78,9.54,21.72,17.52,5.98,23.71,661.96,14.89 -1996-06-20 00:00:00,11.1,5.69,9.54,21.43,17.48,5.98,23.45,662.1,15.02 -1996-06-21 00:00:00,11.13,5.66,9.69,20.98,17.57,6.08,23.62,666.84,15.13 -1996-06-24 00:00:00,10.94,5.56,9.73,21.19,17.66,6.1,23.88,668.85,15.09 -1996-06-25 00:00:00,10.82,5.16,9.78,21.22,18.02,5.99,24.14,668.48,15.15 -1996-06-26 00:00:00,10.87,4.97,9.68,20.98,18.02,5.92,24.14,664.39,15.26 -1996-06-27 00:00:00,10.87,5.16,9.75,21.03,17.93,5.89,24.57,668.55,15.35 -1996-06-28 00:00:00,10.8,5.25,9.66,21.06,18.07,5.9,24.49,670.63,15.24 -1996-07-01 00:00:00,10.92,5.38,9.77,21.59,18.12,6.01,24.57,675.88,15.31 -1996-07-02 00:00:00,10.87,5.25,9.8,21.27,18.16,5.97,24.4,673.61,15.55 -1996-07-03 00:00:00,10.7,4.84,9.77,20.95,18.02,5.95,23.97,672.4,15.66 -1996-07-05 00:00:00,10.54,4.88,9.59,20.82,17.66,5.81,23.45,657.44,15.44 -1996-07-08 00:00:00,10.54,4.78,9.39,20.92,17.52,5.91,23.19,652.54,15.44 -1996-07-09 00:00:00,10.68,4.75,9.48,21.06,17.25,5.89,23.11,654.75,15.53 -1996-07-10 00:00:00,10.94,4.69,9.56,21.03,17.52,5.87,23.19,656.06,15.59 -1996-07-11 00:00:00,10.68,4.47,9.39,20.42,17.52,5.62,22.68,645.67,15.68 -1996-07-12 00:00:00,10.85,4.51,9.41,20.27,17.23,5.52,22.93,646.19,15.74 -1996-07-15 00:00:00,10.49,4.3,9.11,19.33,16.79,5.43,22.07,629.8,15.5 -1996-07-16 00:00:00,10.44,4.22,9.06,20.37,17.61,5.67,21.81,628.37,15.15 -1996-07-17 00:00:00,10.59,4.22,9.27,20.02,17.34,5.75,21.55,634.07,14.93 -1996-07-18 00:00:00,10.63,5.22,9.39,20.05,17.93,5.89,22.5,643.56,15.04 -1996-07-19 00:00:00,10.61,5.19,9.2,19.94,18.02,5.94,22.42,638.73,14.98 -1996-07-22 00:00:00,10.52,5.06,9.06,19.68,17.84,5.88,22.68,633.77,14.98 -1996-07-23 00:00:00,10.49,5.12,8.89,19.2,17.29,5.51,22.93,626.87,14.85 -1996-07-24 00:00:00,10.54,5.2,8.95,19.52,17.34,5.64,22.24,626.65,14.67 -1996-07-25 00:00:00,10.63,5.25,9.03,22.04,17.29,5.82,21.81,631.17,14.71 -1996-07-26 00:00:00,10.77,5.5,9.11,22.09,17.57,5.85,21.99,635.9,14.61 -1996-07-29 00:00:00,10.87,5.56,8.96,22.28,17.39,5.74,21.81,630.91,14.5 -1996-07-30 00:00:00,10.92,5.34,8.97,22.84,17.61,5.83,22.07,635.26,14.34 -1996-07-31 00:00:00,10.96,5.5,9.21,22.87,17.43,5.79,21.9,639.95,14.43 -1996-08-01 00:00:00,11.29,5.31,9.34,22.81,17.93,5.92,22.16,650.02,14.63 -1996-08-02 00:00:00,11.48,5.41,9.65,23.16,18.12,6.06,23.11,662.49,14.87 -1996-08-05 00:00:00,11.45,5.25,9.62,23.24,18.39,5.98,22.85,660.23,14.78 -1996-08-06 00:00:00,11.5,5.38,9.69,23.32,18.43,6.09,22.85,662.38,14.74 -1996-08-07 00:00:00,11.43,5.59,9.6,24.03,18.8,6.13,22.33,664.16,14.56 -1996-08-08 00:00:00,11.43,5.53,9.51,24.22,18.71,6.15,21.73,662.59,14.5 -1996-08-09 00:00:00,11.48,5.78,9.38,23.98,18.71,6.11,20.95,662.1,14.28 -1996-08-12 00:00:00,11.43,5.75,9.52,23.93,19.21,6.15,21.21,665.77,14.46 -1996-08-13 00:00:00,11.41,5.62,9.52,23.34,19.16,6.07,21.81,660.2,14.41 -1996-08-14 00:00:00,11.67,5.69,9.56,23.74,19.39,6.13,21.81,662.05,14.33 -1996-08-15 00:00:00,11.52,5.56,9.49,23.66,19.39,6.15,21.55,662.28,14.3 -1996-08-16 00:00:00,11.64,5.62,9.51,23.47,18.91,6.1,21.73,665.21,14.59 -1996-08-19 00:00:00,11.67,5.91,9.52,23.47,19.1,6.07,21.04,666.58,14.79 -1996-08-20 00:00:00,11.93,5.88,9.52,23.58,18.96,6.06,20.78,665.69,14.84 -1996-08-21 00:00:00,12.11,5.75,9.41,23.95,19.01,6.07,21.12,665.07,14.68 -1996-08-22 00:00:00,11.93,5.81,9.48,24.03,19.05,6.14,21.55,670.68,14.81 -1996-08-23 00:00:00,12.04,5.97,9.6,24.11,18.73,6.05,21.64,667.03,14.61 -1996-08-26 00:00:00,11.88,6.03,9.59,24.01,18.5,6.03,21.81,663.88,14.46 -1996-08-27 00:00:00,11.88,6.22,9.69,23.85,18.64,6.13,21.38,666.4,14.61 -1996-08-28 00:00:00,11.97,6.22,9.67,24.54,18.46,6.17,20.69,664.81,14.48 -1996-08-29 00:00:00,11.76,6.12,9.49,24.57,18.27,6.1,19.74,657.4,14.17 -1996-08-30 00:00:00,11.74,6.06,9.31,24.41,18.04,6.02,19.83,651.99,14.44 -1996-09-03 00:00:00,11.88,6.03,9.42,24.59,18.0,6.06,19.74,654.72,14.84 -1996-09-04 00:00:00,12.0,6.03,9.44,24.46,18.0,6.06,19.91,655.61,14.86 -1996-09-05 00:00:00,11.9,5.72,9.32,24.14,17.77,5.97,19.56,649.44,14.72 -1996-09-06 00:00:00,11.74,5.75,9.49,24.65,18.23,6.02,19.74,655.68,14.88 -1996-09-09 00:00:00,11.83,5.5,9.59,25.1,18.27,6.13,19.91,663.76,14.92 -1996-09-10 00:00:00,11.69,5.38,9.63,25.21,18.09,6.11,20.43,663.81,14.77 -1996-09-11 00:00:00,11.57,5.28,9.63,25.18,18.04,6.15,20.69,667.28,15.03 -1996-09-12 00:00:00,11.69,5.09,9.74,25.02,18.04,6.32,20.69,671.15,15.06 -1996-09-13 00:00:00,11.71,5.25,9.9,26.06,18.32,6.43,20.69,680.54,14.97 -1996-09-16 00:00:00,12.0,5.59,9.9,26.19,18.36,6.46,19.82,683.98,15.08 -1996-09-17 00:00:00,11.93,5.75,9.74,26.38,18.32,6.58,20.08,682.94,15.08 -1996-09-18 00:00:00,11.86,5.88,9.77,26.57,18.18,6.7,20.43,681.47,15.19 -1996-09-19 00:00:00,11.62,5.84,9.84,26.35,18.32,6.77,20.86,683.0,15.21 -1996-09-20 00:00:00,11.43,5.72,9.98,26.25,18.5,6.78,20.86,687.03,15.39 -1996-09-23 00:00:00,11.1,5.59,9.91,26.51,18.59,6.77,20.6,686.48,15.34 -1996-09-24 00:00:00,11.05,5.62,10.07,26.49,18.46,6.72,20.78,685.61,15.28 -1996-09-25 00:00:00,11.19,5.59,10.25,26.99,18.41,6.66,20.86,685.83,15.08 -1996-09-26 00:00:00,11.15,5.59,10.17,26.54,18.68,6.48,20.95,685.86,14.88 -1996-09-27 00:00:00,11.12,5.58,10.3,26.62,18.87,6.6,19.48,686.19,14.77 -1996-09-30 00:00:00,11.15,5.55,10.24,26.57,18.77,6.48,19.56,687.33,14.75 -1996-10-01 00:00:00,11.36,6.16,10.2,26.41,18.73,6.49,19.65,689.08,15.1 -1996-10-02 00:00:00,11.48,5.91,10.34,26.86,18.77,6.62,19.91,694.01,15.19 -1996-10-03 00:00:00,11.41,5.59,10.34,26.67,18.68,6.58,20.26,692.78,15.23 -1996-10-04 00:00:00,11.34,5.7,10.53,27.02,19.01,6.7,20.34,701.46,15.57 -1996-10-07 00:00:00,11.03,5.78,10.6,27.29,19.05,6.75,20.0,703.34,15.57 -1996-10-08 00:00:00,10.65,5.81,10.51,27.4,19.01,6.65,19.91,700.64,15.5 -1996-10-09 00:00:00,10.56,5.75,10.45,26.94,18.77,6.61,19.74,696.74,15.26 -1996-10-10 00:00:00,10.98,6.05,10.36,27.26,18.64,6.57,19.91,694.61,15.21 -1996-10-11 00:00:00,11.03,6.06,10.62,27.72,18.87,6.74,20.08,700.66,15.3 -1996-10-14 00:00:00,11.03,6.31,10.69,27.74,19.23,6.71,20.08,703.54,15.52 -1996-10-15 00:00:00,11.12,6.31,10.72,27.63,18.77,6.82,19.91,702.57,15.43 -1996-10-16 00:00:00,11.1,6.44,10.69,27.23,18.77,6.78,20.26,704.41,15.48 -1996-10-17 00:00:00,11.31,6.59,10.71,26.81,19.19,6.66,20.86,706.99,15.61 -1996-10-18 00:00:00,11.27,6.64,10.71,27.61,19.01,6.62,21.12,710.82,15.83 -1996-10-21 00:00:00,11.24,6.41,10.78,27.77,18.59,6.58,20.86,709.85,15.77 -1996-10-22 00:00:00,11.05,6.22,10.76,27.1,18.23,6.51,20.43,706.57,15.59 -1996-10-23 00:00:00,10.96,6.19,10.86,27.58,18.23,6.61,20.6,707.27,15.7 -1996-10-24 00:00:00,11.31,6.19,10.82,27.18,17.81,6.71,20.6,702.29,15.46 -1996-10-25 00:00:00,11.29,6.12,10.79,26.99,17.31,6.7,20.78,700.92,15.68 -1996-10-28 00:00:00,11.24,6.12,10.69,27.18,17.45,6.71,20.78,697.26,15.63 -1996-10-29 00:00:00,11.41,5.81,10.81,26.81,17.68,6.65,20.52,701.5,15.88 -1996-10-30 00:00:00,11.26,5.72,10.81,26.97,17.58,6.69,20.6,700.9,15.79 -1996-10-31 00:00:00,11.14,5.75,10.89,27.53,18.04,6.74,20.52,705.27,15.7 -1996-11-01 00:00:00,11.28,6.06,10.88,27.21,18.0,6.75,20.78,703.77,15.63 -1996-11-04 00:00:00,11.21,6.09,10.96,27.47,17.91,6.78,20.69,706.73,15.68 -1996-11-05 00:00:00,11.38,6.38,11.12,27.79,18.32,6.95,20.78,714.14,15.63 -1996-11-06 00:00:00,11.38,6.38,11.44,28.54,19.23,7.1,20.86,724.59,15.7 -1996-11-07 00:00:00,11.38,6.47,11.57,28.62,18.87,7.05,20.95,727.65,15.82 -1996-11-08 00:00:00,11.4,6.56,11.5,28.75,18.87,7.05,21.81,730.82,15.97 -1996-11-11 00:00:00,11.35,6.5,11.48,28.78,18.87,7.05,21.73,731.87,16.09 -1996-11-12 00:00:00,11.64,6.31,11.47,28.51,18.64,6.96,21.9,729.56,15.91 -1996-11-13 00:00:00,11.59,6.39,11.66,28.83,18.64,7.12,22.16,731.13,16.13 -1996-11-14 00:00:00,11.71,6.41,11.82,29.29,18.64,7.35,22.77,735.88,16.11 -1996-11-15 00:00:00,11.68,6.25,11.74,31.03,18.66,7.32,22.59,737.62,16.13 -1996-11-18 00:00:00,11.78,6.19,11.64,31.4,18.62,7.39,22.07,737.02,16.31 -1996-11-19 00:00:00,11.73,6.22,11.59,32.98,18.98,7.66,21.9,742.16,16.44 -1996-11-20 00:00:00,12.06,6.25,11.57,32.66,18.89,7.53,21.81,743.95,16.31 -1996-11-21 00:00:00,11.85,6.12,11.44,32.98,19.17,7.39,21.04,742.75,16.24 -1996-11-22 00:00:00,11.85,6.31,11.37,33.91,19.21,7.39,20.78,748.73,16.6 -1996-11-25 00:00:00,12.02,6.25,11.68,33.73,19.76,7.54,20.78,757.03,16.96 -1996-11-26 00:00:00,12.04,6.06,11.48,33.81,19.72,7.55,20.69,755.96,16.96 -1996-11-27 00:00:00,12.04,6.12,11.54,33.83,19.67,7.64,20.95,755.0,16.76 -1996-11-29 00:00:00,12.09,6.03,11.71,34.1,19.58,7.71,20.95,757.02,16.87 -1996-12-02 00:00:00,12.11,6.28,11.62,34.88,19.44,7.75,20.78,756.56,16.96 -1996-12-03 00:00:00,11.99,6.28,11.17,34.8,19.03,7.6,20.69,748.28,16.89 -1996-12-04 00:00:00,11.87,6.25,11.13,34.66,19.12,7.53,20.86,745.1,16.78 -1996-12-05 00:00:00,12.23,6.25,10.99,33.91,18.98,7.51,20.6,744.38,16.98 -1996-12-06 00:00:00,11.95,6.28,11.02,33.3,19.03,7.51,20.42,739.6,16.96 -1996-12-09 00:00:00,11.99,6.25,11.09,34.23,19.26,8.03,20.6,749.76,16.98 -1996-12-10 00:00:00,12.25,6.12,11.05,33.75,19.3,8.04,20.68,747.54,16.8 -1996-12-11 00:00:00,12.09,6.0,10.92,33.41,19.03,8.19,20.51,740.73,16.89 -1996-12-12 00:00:00,12.14,5.97,10.89,32.44,18.57,7.96,20.07,729.3,16.89 -1996-12-13 00:00:00,11.97,5.81,10.89,32.71,18.29,7.86,20.25,728.64,16.93 -1996-12-16 00:00:00,11.8,5.66,10.71,31.8,17.97,7.54,20.16,720.98,16.89 -1996-12-17 00:00:00,11.66,5.62,10.99,32.5,17.88,7.85,19.9,726.04,17.25 -1996-12-18 00:00:00,11.57,5.78,11.17,33.94,18.07,8.12,19.99,731.54,17.38 -1996-12-19 00:00:00,11.95,5.56,11.57,33.83,18.62,8.34,19.99,745.76,17.81 -1996-12-20 00:00:00,12.04,5.88,11.51,33.09,18.34,8.21,20.34,748.87,17.81 -1996-12-23 00:00:00,11.76,5.81,11.37,33.0,18.34,8.23,20.51,746.92,17.92 -1996-12-24 00:00:00,11.76,5.78,11.48,33.33,18.39,8.34,20.34,751.03,17.92 -1996-12-26 00:00:00,11.83,5.75,11.62,33.33,18.43,8.4,20.51,755.82,17.92 -1996-12-27 00:00:00,11.83,5.78,11.6,33.19,18.57,8.28,20.6,756.79,17.85 -1996-12-30 00:00:00,12.02,5.44,11.5,32.87,18.8,8.2,20.77,753.85,17.76 -1996-12-31 00:00:00,12.11,5.22,11.19,32.42,18.29,8.12,20.34,740.74,17.52 -1997-01-02 00:00:00,12.37,5.25,11.04,32.79,18.29,8.02,20.51,737.01,17.58 -1997-01-03 00:00:00,12.92,5.44,11.21,34.05,18.48,8.31,20.68,748.03,17.63 -1997-01-06 00:00:00,12.89,4.47,11.2,34.5,18.62,8.29,20.34,747.65,17.87 -1997-01-07 00:00:00,12.82,4.38,11.43,34.96,18.66,8.35,20.51,753.23,17.92 -1997-01-08 00:00:00,12.8,4.41,11.27,34.21,18.8,8.19,20.6,748.41,17.78 -1997-01-09 00:00:00,13.23,4.44,11.44,34.64,18.94,8.09,20.34,754.85,18.39 -1997-01-10 00:00:00,13.54,4.56,11.47,34.88,18.8,8.28,20.25,759.5,18.9 -1997-01-13 00:00:00,13.44,4.53,11.68,35.06,18.48,8.23,20.51,759.51,18.43 -1997-01-14 00:00:00,13.51,4.47,11.84,35.74,18.84,8.39,20.68,768.86,18.52 -1997-01-15 00:00:00,13.49,4.31,11.64,35.23,19.17,8.31,20.6,767.2,18.59 -1997-01-16 00:00:00,13.61,4.19,11.48,35.41,18.98,8.45,21.03,769.75,18.45 -1997-01-17 00:00:00,13.87,4.19,11.72,35.36,18.89,8.56,21.2,776.17,18.39 -1997-01-20 00:00:00,13.77,4.24,11.88,35.73,18.75,8.91,21.73,776.7,18.32 -1997-01-21 00:00:00,13.42,4.31,11.94,35.95,19.67,9.33,22.07,782.72,18.52 -1997-01-22 00:00:00,13.13,4.3,12.15,33.81,21.1,9.56,22.25,786.23,18.95 -1997-01-23 00:00:00,12.78,4.31,11.78,32.47,20.64,9.31,24.68,777.56,18.39 -1997-01-24 00:00:00,12.87,4.22,11.53,32.2,20.27,9.42,23.55,770.52,17.92 -1997-01-27 00:00:00,12.66,4.16,11.36,31.19,20.09,9.44,23.72,765.02,18.45 -1997-01-28 00:00:00,12.92,4.16,11.38,32.26,20.0,9.39,23.98,765.02,17.96 -1997-01-29 00:00:00,13.01,4.16,11.72,33.46,20.22,9.55,23.81,772.5,18.45 -1997-01-30 00:00:00,13.16,4.19,11.95,33.65,20.92,9.93,23.98,784.17,18.61 -1997-01-31 00:00:00,13.11,4.16,11.71,33.57,21.24,10.02,24.25,786.16,18.52 -1997-02-03 00:00:00,13.08,4.08,11.91,33.14,21.05,10.06,23.72,786.73,18.28 -1997-02-04 00:00:00,12.97,3.85,11.75,32.87,21.65,10.13,22.86,789.26,18.48 -1997-02-05 00:00:00,12.82,3.81,11.65,31.83,21.1,9.66,22.16,778.28,18.39 -1997-02-06 00:00:00,12.72,4.0,11.77,31.31,21.65,9.54,22.51,780.15,18.35 -1997-02-07 00:00:00,12.89,3.95,11.88,31.9,21.97,9.86,22.42,789.56,18.19 -1997-02-10 00:00:00,12.7,3.91,11.75,30.62,21.93,9.6,22.42,785.43,18.03 -1997-02-11 00:00:00,12.72,3.92,11.84,31.15,22.06,9.68,22.59,789.59,18.3 -1997-02-12 00:00:00,12.77,3.94,11.98,31.1,22.39,9.81,22.42,802.77,18.55 -1997-02-13 00:00:00,12.89,4.03,12.13,31.39,22.78,9.82,22.16,811.82,18.73 -1997-02-14 00:00:00,13.2,4.08,12.03,31.1,22.64,9.61,22.42,808.48,18.71 -1997-02-18 00:00:00,13.39,4.47,12.16,31.15,23.15,9.56,22.77,816.29,18.75 -1997-02-19 00:00:00,13.56,4.41,12.16,30.8,22.73,9.58,22.86,812.49,18.6 -1997-02-20 00:00:00,13.51,4.25,11.96,30.29,22.22,9.36,23.29,802.8,18.57 -1997-02-21 00:00:00,13.56,4.09,11.89,29.52,22.22,9.33,23.98,801.77,18.69 -1997-02-24 00:00:00,13.53,4.16,12.06,30.86,22.41,9.83,23.72,810.28,18.48 -1997-02-25 00:00:00,13.34,4.22,11.99,31.42,22.13,9.77,23.55,812.03,18.64 -1997-02-26 00:00:00,13.06,4.28,12.02,31.5,21.67,9.85,22.94,805.68,18.39 -1997-02-27 00:00:00,13.53,4.25,11.89,30.67,21.26,9.44,23.03,795.07,17.99 -1997-02-28 00:00:00,13.58,4.06,11.64,30.83,21.21,9.58,22.94,790.82,18.06 -1997-03-03 00:00:00,13.77,4.03,11.7,31.13,21.53,9.77,23.2,795.31,17.88 -1997-03-04 00:00:00,13.79,4.12,11.53,31.07,21.17,9.74,22.42,790.95,18.01 -1997-03-05 00:00:00,13.68,4.25,11.78,31.21,21.9,9.91,22.42,801.99,18.24 -1997-03-06 00:00:00,13.68,4.16,11.9,31.45,21.81,9.6,22.16,798.56,18.17 -1997-03-07 00:00:00,13.79,4.12,11.98,31.04,22.36,9.5,22.07,804.97,18.08 -1997-03-10 00:00:00,14.27,4.16,12.04,31.34,22.59,9.82,22.25,813.65,18.55 -1997-03-11 00:00:00,14.49,4.09,11.95,31.31,22.46,9.66,22.59,811.34,18.51 -1997-03-12 00:00:00,14.32,4.06,11.91,31.07,21.99,9.7,22.33,804.26,18.28 -1997-03-13 00:00:00,14.01,4.09,11.78,30.64,21.67,9.79,21.89,789.56,18.01 -1997-03-14 00:00:00,14.22,4.14,11.71,30.8,21.35,9.72,21.72,793.17,18.21 -1997-03-17 00:00:00,14.34,4.12,11.87,29.92,21.35,9.87,21.54,795.71,18.17 -1997-03-18 00:00:00,14.08,4.06,11.71,29.89,21.26,9.79,21.63,789.66,18.24 -1997-03-19 00:00:00,14.08,4.03,11.77,29.57,21.17,9.5,22.33,785.77,18.24 -1997-03-20 00:00:00,13.94,4.31,11.67,29.36,21.07,9.43,22.76,782.65,18.21 -1997-03-21 00:00:00,13.75,4.16,11.68,28.42,20.89,9.23,22.67,784.1,18.64 -1997-03-24 00:00:00,13.72,4.12,12.04,29.33,21.35,8.85,22.85,790.89,18.82 -1997-03-25 00:00:00,13.34,4.12,11.94,29.14,21.21,8.87,23.2,789.07,19.05 -1997-03-26 00:00:00,13.41,4.19,11.81,30.08,21.07,9.26,23.2,790.5,19.7 -1997-03-27 00:00:00,13.08,4.66,11.51,29.38,20.34,9.21,23.2,773.88,19.47 -1997-03-31 00:00:00,12.96,4.56,11.29,29.44,19.51,9.01,22.59,757.12,19.41 -1997-04-01 00:00:00,13.15,4.38,11.21,29.33,20.24,9.16,22.24,759.64,19.25 -1997-04-02 00:00:00,12.98,4.5,11.12,28.69,20.06,9.04,22.24,750.11,18.87 -1997-04-03 00:00:00,12.87,4.72,11.19,28.12,19.92,9.34,22.24,750.32,18.42 -1997-04-04 00:00:00,12.89,4.81,11.47,27.72,20.15,9.25,22.06,757.9,18.35 -1997-04-07 00:00:00,12.72,4.88,11.43,28.42,20.1,9.42,22.41,762.13,18.91 -1997-04-08 00:00:00,12.68,4.78,11.51,29.3,20.1,9.65,22.41,766.12,18.73 -1997-04-09 00:00:00,12.72,4.75,11.58,28.55,19.78,9.63,22.85,760.6,18.66 -1997-04-10 00:00:00,12.72,4.72,11.54,28.52,20.06,9.5,23.02,758.34,18.64 -1997-04-11 00:00:00,12.56,4.56,11.13,28.61,19.27,9.33,22.24,737.65,18.24 -1997-04-14 00:00:00,12.53,4.69,11.37,29.28,19.55,9.56,22.76,743.73,18.64 -1997-04-15 00:00:00,12.72,4.61,11.7,29.57,20.29,9.54,22.94,754.72,18.82 -1997-04-16 00:00:00,13.08,4.64,11.98,29.49,20.61,9.65,22.94,763.53,18.82 -1997-04-17 00:00:00,13.01,4.75,11.81,29.54,20.38,9.64,23.2,761.77,18.55 -1997-04-18 00:00:00,13.03,4.59,11.91,29.97,20.56,10.57,23.11,766.34,19.27 -1997-04-21 00:00:00,12.84,4.5,11.87,29.46,21.12,10.57,22.85,760.37,19.23 -1997-04-22 00:00:00,13.25,4.62,12.34,30.03,21.76,10.87,23.37,774.61,19.9 -1997-04-23 00:00:00,13.29,4.53,12.18,30.54,21.39,11.31,23.2,773.64,19.77 -1997-04-24 00:00:00,13.27,4.47,12.12,32.95,21.44,11.21,23.37,771.18,19.54 -1997-04-25 00:00:00,13.25,4.38,12.11,32.33,21.44,11.16,22.33,765.37,19.0 -1997-04-28 00:00:00,13.06,4.41,12.2,32.25,21.95,11.28,21.8,772.96,19.41 -1997-04-29 00:00:00,13.29,4.42,12.58,33.97,22.13,11.69,23.98,794.05,20.04 -1997-04-30 00:00:00,13.37,4.25,12.62,34.42,22.55,11.94,24.33,801.34,20.4 -1997-05-01 00:00:00,13.25,4.25,12.48,34.61,21.99,11.89,24.33,798.53,20.13 -1997-05-02 00:00:00,13.44,4.25,12.86,34.77,22.64,11.86,24.77,812.97,20.31 -1997-05-05 00:00:00,13.51,4.25,13.25,35.63,23.01,11.81,25.55,830.29,21.07 -1997-05-06 00:00:00,13.84,4.22,13.28,35.5,22.68,11.52,25.38,827.76,21.12 -1997-05-07 00:00:00,13.49,4.12,13.16,34.77,22.27,11.35,25.2,815.62,20.89 -1997-05-08 00:00:00,13.68,4.25,13.2,35.9,22.13,11.43,24.59,820.26,20.89 -1997-05-09 00:00:00,13.65,4.26,13.25,35.92,22.55,11.47,25.47,824.78,20.95 -1997-05-12 00:00:00,13.94,4.39,13.62,37.21,22.87,11.6,25.64,837.66,21.45 -1997-05-13 00:00:00,14.06,4.39,13.82,37.24,22.96,11.57,25.73,833.13,21.63 -1997-05-14 00:00:00,13.84,4.42,13.85,37.29,22.59,11.38,25.9,836.04,21.72 -1997-05-15 00:00:00,14.04,4.44,14.1,37.29,22.78,11.5,26.08,841.88,21.36 -1997-05-16 00:00:00,14.01,4.31,13.76,36.46,22.3,11.34,25.64,829.75,21.09 -1997-05-19 00:00:00,14.08,4.25,13.87,36.19,22.67,11.31,26.16,833.27,21.45 -1997-05-20 00:00:00,13.92,4.31,14.21,37.26,22.54,11.7,26.16,841.66,21.45 -1997-05-21 00:00:00,13.82,4.22,14.04,37.56,21.98,11.82,25.29,839.35,21.59 -1997-05-22 00:00:00,13.77,4.16,13.87,37.0,22.03,11.85,24.77,835.66,21.22 -1997-05-23 00:00:00,14.11,4.22,13.96,37.19,22.17,12.07,25.47,847.03,21.72 -1997-05-27 00:00:00,14.3,4.31,13.85,38.44,22.17,12.44,25.81,849.71,21.63 -1997-05-28 00:00:00,14.06,4.25,13.87,38.66,21.98,12.36,26.08,847.21,21.31 -1997-05-29 00:00:00,14.08,4.16,13.9,37.64,21.8,12.36,26.08,844.08,21.31 -1997-05-30 00:00:00,14.08,4.16,13.73,37.1,22.21,12.18,25.64,848.28,21.5 -1997-06-02 00:00:00,14.06,4.24,13.79,37.37,21.98,12.22,26.34,846.36,21.77 -1997-06-03 00:00:00,14.27,4.17,13.79,36.19,22.12,11.86,26.6,845.48,21.72 -1997-06-04 00:00:00,14.13,4.16,13.85,35.76,21.98,11.71,25.12,840.11,21.77 -1997-06-05 00:00:00,14.25,4.17,13.7,35.55,21.93,11.84,25.64,843.43,21.81 -1997-06-06 00:00:00,14.3,4.19,14.16,36.73,22.26,12.19,25.9,858.01,22.22 -1997-06-09 00:00:00,13.94,4.16,14.3,37.26,22.81,12.29,26.08,862.91,22.31 -1997-06-10 00:00:00,14.25,4.06,14.38,37.0,22.91,12.26,26.25,865.27,22.13 -1997-06-11 00:00:00,14.66,4.08,14.47,37.37,23.65,12.48,26.51,869.57,22.49 -1997-06-12 00:00:00,14.87,4.01,14.81,37.8,24.25,12.48,27.04,883.46,23.08 -1997-06-13 00:00:00,14.85,3.95,15.04,38.18,24.57,12.73,27.3,893.27,23.13 -1997-06-16 00:00:00,14.7,3.88,15.12,38.28,24.52,12.91,26.95,893.9,23.35 -1997-06-17 00:00:00,14.63,4.09,15.12,38.55,24.06,13.18,26.95,894.42,23.08 -1997-06-18 00:00:00,14.54,3.98,15.07,38.18,23.78,12.79,27.13,889.06,22.99 -1997-06-19 00:00:00,14.54,3.94,15.26,38.44,24.34,12.7,26.95,897.99,22.81 -1997-06-20 00:00:00,14.54,3.89,15.38,38.55,24.38,12.76,26.69,898.7,23.04 -1997-06-23 00:00:00,14.2,3.85,14.9,37.64,23.69,12.58,25.99,878.62,22.4 -1997-06-24 00:00:00,14.38,3.83,15.08,39.38,24.57,12.97,26.12,896.34,22.67 -1997-06-25 00:00:00,14.23,3.78,14.87,39.41,24.13,12.81,25.9,888.99,22.11 -1997-06-26 00:00:00,14.42,3.67,14.81,38.87,23.65,12.6,26.08,883.68,22.2 -1997-06-27 00:00:00,14.54,3.67,14.85,39.14,23.83,12.52,26.51,887.3,21.93 -1997-06-30 00:00:00,14.42,3.56,14.78,38.71,23.83,12.41,26.29,885.14,22.22 -1997-07-01 00:00:00,14.61,3.3,15.12,39.38,23.37,12.27,26.78,891.03,22.95 -1997-07-02 00:00:00,14.97,3.27,15.43,40.08,23.48,12.61,26.6,904.03,22.9 -1997-07-03 00:00:00,14.73,3.42,15.84,40.67,23.76,12.73,27.26,916.92,23.44 -1997-07-07 00:00:00,14.97,3.45,15.95,40.54,23.97,12.72,27.3,912.2,22.97 -1997-07-08 00:00:00,15.27,3.44,15.87,41.07,24.25,12.89,27.43,918.75,23.06 -1997-07-09 00:00:00,14.9,3.42,15.63,41.26,23.58,12.84,26.86,907.54,22.47 -1997-07-10 00:00:00,14.88,3.31,15.87,41.07,23.09,12.76,27.17,913.78,22.42 -1997-07-11 00:00:00,14.75,3.8,16.12,41.07,23.34,12.75,26.16,916.68,22.4 -1997-07-14 00:00:00,14.84,3.91,16.21,40.86,23.3,13.35,26.51,918.38,22.04 -1997-07-15 00:00:00,15.23,3.98,16.48,41.18,22.86,13.6,26.08,925.76,22.58 -1997-07-16 00:00:00,15.48,4.11,16.9,41.87,22.95,14.58,25.59,936.59,22.77 -1997-07-17 00:00:00,15.77,4.38,16.71,42.73,23.09,14.69,24.98,931.61,22.81 -1997-07-18 00:00:00,15.51,4.34,16.24,44.82,22.28,13.8,25.2,915.3,21.93 -1997-07-21 00:00:00,15.47,4.04,16.12,44.5,22.47,13.35,24.89,912.94,22.24 -1997-07-22 00:00:00,15.93,4.14,16.41,44.18,23.3,14.16,26.64,933.98,22.81 -1997-07-23 00:00:00,16.26,4.03,16.48,45.09,23.18,13.89,25.9,936.56,22.29 -1997-07-24 00:00:00,16.07,3.95,16.41,46.24,22.91,13.56,26.25,940.3,22.49 -1997-07-25 00:00:00,16.13,4.06,16.51,45.9,22.79,13.61,26.91,938.79,22.79 -1997-07-28 00:00:00,16.51,4.11,16.34,45.04,22.42,13.46,26.91,936.45,22.99 -1997-07-29 00:00:00,16.46,4.12,16.2,44.13,22.6,13.75,26.43,942.29,22.77 -1997-07-30 00:00:00,16.82,4.34,16.15,45.47,22.81,13.86,27.08,952.29,23.2 -1997-07-31 00:00:00,16.93,4.38,16.01,45.36,23.0,13.89,26.78,954.31,23.31 -1997-08-01 00:00:00,16.74,4.8,15.78,44.93,22.6,13.81,26.64,947.14,23.08 -1997-08-04 00:00:00,16.69,4.94,15.53,45.58,22.56,13.91,26.91,950.3,23.22 -1997-08-05 00:00:00,16.83,4.94,15.47,45.68,22.74,14.08,27.17,952.37,23.06 -1997-08-06 00:00:00,16.87,6.58,15.82,46.27,23.04,14.09,27.78,960.32,23.53 -1997-08-07 00:00:00,17.03,7.3,15.58,46.14,22.47,14.14,27.3,951.19,23.26 -1997-08-08 00:00:00,16.63,6.7,15.31,45.23,21.96,13.75,26.25,933.54,22.49 -1997-08-11 00:00:00,16.46,6.14,15.44,44.26,21.59,13.58,26.73,937.0,22.96 -1997-08-12 00:00:00,16.31,5.51,15.11,44.45,21.31,13.36,26.21,926.53,22.83 -1997-08-13 00:00:00,16.21,5.91,15.24,44.85,21.12,13.37,25.68,922.02,22.19 -1997-08-14 00:00:00,16.08,5.75,15.24,44.53,21.84,13.38,25.38,924.77,22.05 -1997-08-15 00:00:00,15.66,5.81,14.47,42.95,20.83,13.05,25.03,900.81,21.55 -1997-08-18 00:00:00,16.05,5.91,15.04,44.69,21.57,13.15,25.33,912.49,22.71 -1997-08-19 00:00:00,16.31,6.11,15.15,46.39,21.97,13.64,25.33,926.01,22.73 -1997-08-20 00:00:00,16.32,6.16,15.5,46.41,22.13,13.81,25.2,939.35,23.15 -1997-08-21 00:00:00,16.28,6.0,15.06,45.44,21.97,13.54,25.33,925.05,22.76 -1997-08-22 00:00:00,16.27,5.91,14.81,45.71,21.81,13.48,25.73,923.54,22.92 -1997-08-25 00:00:00,16.58,5.76,14.64,45.12,21.46,13.41,25.46,920.16,22.76 -1997-08-26 00:00:00,16.45,5.56,14.44,44.4,21.25,13.26,25.68,913.02,22.55 -1997-08-27 00:00:00,16.1,5.67,14.33,44.64,21.55,13.22,25.94,913.7,23.1 -1997-08-28 00:00:00,16.15,5.5,14.27,43.46,21.18,12.97,25.73,903.67,22.6 -1997-08-29 00:00:00,15.78,5.44,14.28,43.56,21.06,12.99,25.2,899.47,22.35 -1997-09-02 00:00:00,16.34,5.59,15.11,44.72,21.69,13.48,25.77,927.58,23.37 -1997-09-03 00:00:00,16.11,5.62,15.3,44.5,21.53,13.41,26.29,927.86,23.42 -1997-09-04 00:00:00,15.99,5.62,15.2,44.59,21.81,13.57,26.21,930.87,23.46 -1997-09-05 00:00:00,16.02,5.55,15.13,44.53,21.6,13.49,26.25,929.05,23.37 -1997-09-08 00:00:00,15.74,5.38,15.28,44.21,21.36,13.68,26.69,931.2,23.46 -1997-09-09 00:00:00,15.85,5.45,15.24,42.97,21.44,13.7,26.91,933.62,23.56 -1997-09-10 00:00:00,15.59,5.74,15.06,41.68,20.88,13.27,26.43,919.03,22.99 -1997-09-11 00:00:00,15.36,5.59,14.84,42.11,21.04,13.44,26.25,912.59,22.69 -1997-09-12 00:00:00,15.08,5.51,15.13,42.01,21.36,13.55,26.64,923.91,23.03 -1997-09-15 00:00:00,15.37,5.38,15.15,41.36,21.48,12.84,26.47,919.77,22.92 -1997-09-16 00:00:00,15.8,5.49,15.65,42.81,21.83,13.4,26.95,945.64,23.6 -1997-09-17 00:00:00,15.56,5.45,15.91,42.81,21.48,13.08,27.21,943.0,23.6 -1997-09-18 00:00:00,15.89,5.58,16.01,42.44,21.46,12.99,26.69,947.29,24.1 -1997-09-19 00:00:00,15.93,5.49,16.03,42.65,21.78,13.28,26.82,950.51,24.03 -1997-09-22 00:00:00,15.75,5.7,16.05,44.64,22.39,13.1,27.3,955.43,23.44 -1997-09-23 00:00:00,15.75,5.44,15.78,44.37,22.02,13.31,27.21,951.93,23.78 -1997-09-24 00:00:00,15.48,5.38,15.67,43.64,21.78,13.01,27.7,944.48,23.44 -1997-09-25 00:00:00,15.48,5.28,15.27,43.67,21.39,13.04,27.87,937.91,23.33 -1997-09-26 00:00:00,15.41,5.33,15.66,44.1,21.41,13.1,28.22,945.22,23.46 -1997-09-29 00:00:00,15.71,5.51,15.83,45.12,21.55,13.21,28.79,953.34,23.67 -1997-09-30 00:00:00,15.73,5.42,15.6,45.55,21.44,13.0,28.49,947.28,23.4 -1997-10-01 00:00:00,15.9,5.38,15.71,44.48,21.51,13.15,28.22,955.41,23.85 -1997-10-02 00:00:00,15.91,5.49,15.93,44.93,21.76,13.08,27.92,960.46,23.72 -1997-10-03 00:00:00,15.61,5.53,15.83,44.83,22.16,13.26,28.0,965.03,23.81 -1997-10-06 00:00:00,15.49,5.49,16.01,45.04,22.22,13.27,28.22,972.69,24.38 -1997-10-07 00:00:00,15.75,5.45,16.5,45.9,22.85,13.41,29.57,983.12,24.4 -1997-10-08 00:00:00,15.38,5.38,16.16,45.23,22.67,13.65,29.95,973.84,23.83 -1997-10-09 00:00:00,15.17,5.44,16.19,44.96,22.48,13.65,29.85,970.62,23.67 -1997-10-10 00:00:00,15.29,5.67,16.01,45.1,22.32,13.41,30.14,966.98,23.58 -1997-10-13 00:00:00,15.45,5.67,15.9,44.91,22.53,13.43,29.85,968.1,23.58 -1997-10-14 00:00:00,15.54,5.67,15.9,44.4,22.46,13.43,29.57,970.28,23.58 -1997-10-15 00:00:00,15.43,5.95,15.76,43.7,22.06,13.33,28.61,965.72,23.67 -1997-10-16 00:00:00,15.26,5.38,15.89,42.92,21.88,13.15,28.42,955.25,23.37 -1997-10-17 00:00:00,15.21,5.03,15.9,41.01,21.67,12.99,28.95,944.16,23.24 -1997-10-20 00:00:00,15.27,4.67,16.07,41.9,21.92,13.03,29.66,955.61,23.74 -1997-10-21 00:00:00,15.35,4.76,16.19,45.2,22.22,13.61,30.52,972.28,23.78 -1997-10-22 00:00:00,15.49,4.64,15.92,45.17,22.27,13.33,29.33,968.49,23.69 -1997-10-23 00:00:00,14.82,4.44,15.44,43.13,21.74,13.32,28.81,950.69,23.06 -1997-10-24 00:00:00,14.66,4.14,15.11,42.11,21.67,13.3,28.52,941.64,22.87 -1997-10-27 00:00:00,13.24,4.19,14.2,38.68,20.44,12.66,26.66,876.99,21.18 -1997-10-28 00:00:00,13.4,4.53,15.24,42.7,20.81,13.1,28.76,921.85,22.44 -1997-10-29 00:00:00,13.7,4.38,14.87,42.22,21.23,12.86,27.66,919.16,22.03 -1997-10-30 00:00:00,13.82,4.12,14.5,41.17,20.99,12.64,27.28,903.68,22.16 -1997-10-31 00:00:00,14.0,4.26,14.81,42.33,21.32,12.77,28.14,914.62,22.44 -1997-11-03 00:00:00,14.2,4.34,15.38,43.67,21.92,13.18,28.52,938.99,22.73 -1997-11-04 00:00:00,13.98,4.49,15.69,43.81,22.34,13.19,28.42,940.76,22.85 -1997-11-05 00:00:00,14.24,4.59,15.84,44.16,22.36,13.12,28.52,942.76,22.6 -1997-11-06 00:00:00,13.91,4.75,15.76,43.51,22.36,12.97,28.19,938.03,22.37 -1997-11-07 00:00:00,13.5,4.94,15.53,42.84,22.22,12.92,27.8,927.51,22.11 -1997-11-10 00:00:00,13.47,4.67,15.36,42.06,22.18,12.79,27.23,921.13,21.95 -1997-11-11 00:00:00,13.28,4.59,15.44,42.63,22.5,12.83,27.33,923.78,21.99 -1997-11-12 00:00:00,12.72,4.41,15.07,41.6,21.69,12.69,26.99,905.96,21.65 -1997-11-13 00:00:00,13.1,4.5,15.67,42.68,22.27,12.92,27.37,916.66,22.02 -1997-11-14 00:00:00,13.47,4.61,15.89,43.7,23.26,13.1,27.9,928.35,22.41 -1997-11-17 00:00:00,13.28,4.62,16.32,44.56,23.66,13.25,28.52,946.2,22.77 -1997-11-18 00:00:00,13.33,4.51,15.94,43.97,23.49,13.16,27.8,938.23,22.87 -1997-11-19 00:00:00,13.31,4.56,16.2,44.38,23.54,13.27,28.66,944.59,22.82 -1997-11-20 00:00:00,13.53,4.62,16.49,45.1,23.96,13.45,28.76,958.98,23.05 -1997-11-21 00:00:00,13.43,4.55,16.68,45.45,24.22,13.54,29.0,963.09,23.51 -1997-11-24 00:00:00,13.28,4.41,16.42,44.4,23.91,13.31,28.28,946.67,23.12 -1997-11-25 00:00:00,13.13,4.34,16.68,46.23,23.87,13.65,28.38,950.82,22.48 -1997-11-26 00:00:00,12.95,4.38,16.83,47.26,23.38,13.91,28.19,951.64,22.5 -1997-11-28 00:00:00,12.95,4.44,16.93,47.15,23.47,13.9,28.14,955.4,22.43 -1997-12-01 00:00:00,12.91,4.44,16.96,48.47,24.12,14.13,28.76,974.77,22.63 -1997-12-02 00:00:00,13.11,3.97,16.87,47.69,24.01,13.97,28.52,971.68,22.5 -1997-12-03 00:00:00,13.16,3.94,16.73,47.52,24.05,14.21,28.85,976.77,22.96 -1997-12-04 00:00:00,13.34,3.91,16.62,47.04,24.01,14.0,28.52,973.1,22.91 -1997-12-05 00:00:00,13.44,3.95,16.83,48.33,24.31,14.06,28.47,983.79,23.53 -1997-12-08 00:00:00,13.57,3.89,16.86,48.6,24.31,14.35,27.85,982.37,23.23 -1997-12-09 00:00:00,13.69,3.81,17.1,47.52,24.24,14.18,27.33,975.78,22.94 -1997-12-10 00:00:00,13.76,3.69,16.9,45.86,24.61,13.97,27.18,969.79,23.07 -1997-12-11 00:00:00,13.27,3.64,16.62,43.76,24.31,13.66,26.99,954.94,22.94 -1997-12-12 00:00:00,13.04,3.53,16.56,43.22,23.87,13.43,26.9,953.39,22.8 -1997-12-15 00:00:00,13.35,3.48,17.1,43.43,24.24,13.37,27.61,963.39,23.09 -1997-12-16 00:00:00,13.42,3.58,17.28,44.67,24.36,13.66,27.14,968.04,23.37 -1997-12-17 00:00:00,13.83,3.48,17.19,43.92,24.75,13.32,26.7,965.54,23.07 -1997-12-18 00:00:00,13.55,3.45,16.96,43.06,24.92,12.86,26.61,955.3,22.68 -1997-12-19 00:00:00,13.43,3.42,16.73,43.97,24.71,12.64,26.7,946.78,22.15 -1997-12-22 00:00:00,13.46,3.33,16.93,44.16,24.96,12.48,26.9,953.7,22.17 -1997-12-23 00:00:00,13.38,3.23,16.29,42.46,24.64,12.11,26.23,939.13,22.13 -1997-12-24 00:00:00,13.26,3.28,16.29,42.68,24.26,11.68,26.37,932.7,22.11 -1997-12-26 00:00:00,13.19,3.33,16.23,43.79,24.19,11.86,26.61,936.46,22.31 -1997-12-29 00:00:00,13.31,3.28,16.67,44.24,24.36,12.41,26.7,953.35,22.63 -1997-12-30 00:00:00,13.45,3.3,17.12,44.4,24.71,12.79,28.09,970.84,22.91 -1997-12-31 00:00:00,13.55,3.28,16.89,45.05,24.56,12.7,27.76,970.43,22.5 -1998-01-02 00:00:00,13.72,4.06,17.03,45.48,24.26,12.88,27.57,975.04,22.75 -1998-01-05 00:00:00,13.96,3.97,17.34,45.83,24.24,12.81,27.95,977.07,22.5 -1998-01-06 00:00:00,13.64,4.74,17.11,45.32,23.87,12.88,26.94,966.58,21.69 -1998-01-07 00:00:00,13.67,4.38,17.25,44.89,24.1,12.73,27.47,964.0,22.38 -1998-01-08 00:00:00,13.09,4.55,17.09,44.86,24.38,12.82,27.47,956.05,21.9 -1998-01-09 00:00:00,12.75,4.55,16.67,43.08,24.1,12.48,26.61,927.69,21.37 -1998-01-12 00:00:00,12.73,4.56,17.13,43.11,24.59,12.72,27.09,939.21,21.6 -1998-01-13 00:00:00,12.7,4.88,17.19,43.97,24.75,12.98,27.95,952.12,22.08 -1998-01-14 00:00:00,12.74,4.94,17.12,44.19,24.8,12.88,28.09,957.94,22.36 -1998-01-15 00:00:00,12.69,4.8,16.73,44.54,24.5,13.0,27.52,950.73,21.88 -1998-01-16 00:00:00,12.8,4.7,16.89,45.21,25.27,13.29,28.09,961.51,22.36 -1998-01-20 00:00:00,13.15,4.76,17.39,46.66,25.85,13.54,28.81,978.6,22.38 -1998-01-21 00:00:00,13.21,4.73,17.39,43.11,25.4,13.46,28.33,970.81,22.45 -1998-01-22 00:00:00,13.02,4.81,17.31,42.79,25.08,13.62,28.24,963.04,21.9 -1998-01-23 00:00:00,13.31,4.88,17.05,42.71,24.94,13.58,27.81,957.59,21.71 -1998-01-26 00:00:00,13.38,4.86,17.19,42.25,25.06,13.92,27.9,956.95,22.15 -1998-01-27 00:00:00,13.46,4.78,17.55,41.55,25.15,14.26,27.61,969.02,22.2 -1998-01-28 00:00:00,13.88,4.8,17.55,41.77,24.94,14.64,27.9,977.46,21.76 -1998-01-29 00:00:00,14.58,4.62,17.75,42.28,24.94,14.56,28.24,985.49,22.34 -1998-01-30 00:00:00,14.7,4.58,17.84,42.52,24.96,14.66,27.66,980.28,21.81 -1998-02-02 00:00:00,15.03,4.42,18.08,43.3,25.66,15.21,27.95,1001.27,22.24 -1998-02-03 00:00:00,14.83,4.58,17.85,42.79,25.92,15.31,26.94,1006.0,22.36 -1998-02-04 00:00:00,14.72,4.56,17.69,42.33,25.64,15.4,27.14,1006.9,22.63 -1998-02-05 00:00:00,14.62,4.58,17.65,42.87,25.68,15.27,26.99,1003.54,22.77 -1998-02-06 00:00:00,14.69,4.62,17.88,42.28,26.01,15.53,27.09,1012.46,22.95 -1998-02-09 00:00:00,14.56,4.8,17.74,42.28,25.68,15.44,27.37,1010.74,22.95 -1998-02-10 00:00:00,14.7,4.86,17.84,43.52,26.01,15.64,27.23,1019.01,22.97 -1998-02-11 00:00:00,14.64,4.75,18.06,44.31,25.8,15.61,27.28,1020.01,23.2 -1998-02-12 00:00:00,14.88,4.84,18.07,44.38,26.02,15.59,27.57,1024.14,23.34 -1998-02-13 00:00:00,14.87,4.88,17.91,44.17,25.84,15.47,27.95,1020.09,23.37 -1998-02-17 00:00:00,14.69,4.91,17.97,44.01,26.0,15.16,27.33,1022.76,23.0 -1998-02-18 00:00:00,14.41,5.14,18.06,44.33,26.38,15.19,26.99,1032.08,23.62 -1998-02-19 00:00:00,14.22,5.11,17.91,44.33,26.4,15.21,27.14,1028.28,23.55 -1998-02-20 00:00:00,13.98,5.0,18.0,44.27,26.21,15.24,27.14,1034.21,23.8 -1998-02-23 00:00:00,13.69,5.31,17.88,44.38,26.94,16.04,26.99,1038.14,23.13 -1998-02-24 00:00:00,13.7,5.33,17.67,44.22,27.36,16.13,26.94,1030.56,23.23 -1998-02-25 00:00:00,13.89,5.58,17.75,45.41,27.78,16.69,27.85,1042.9,23.25 -1998-02-26 00:00:00,13.98,5.88,17.72,45.52,27.82,16.8,28.19,1048.67,23.34 -1998-02-27 00:00:00,14.19,5.91,17.9,45.06,28.2,16.65,27.95,1049.34,23.6 -1998-03-02 00:00:00,13.71,5.69,17.62,43.98,27.97,16.37,28.33,1047.7,23.5 -1998-03-03 00:00:00,13.99,5.78,17.78,44.06,27.87,16.6,28.62,1052.02,23.78 -1998-03-04 00:00:00,13.87,6.11,17.57,42.71,27.43,16.17,28.38,1047.33,23.48 -1998-03-05 00:00:00,13.7,6.01,17.65,42.69,27.03,15.73,28.0,1035.05,23.3 -1998-03-06 00:00:00,13.85,6.11,18.08,42.33,27.64,16.26,29.1,1055.69,23.23 -1998-03-09 00:00:00,13.82,5.69,18.14,41.47,27.76,15.64,30.05,1052.31,23.13 -1998-03-10 00:00:00,14.17,6.01,18.2,42.07,28.06,16.01,30.72,1064.25,23.48 -1998-03-11 00:00:00,13.99,6.53,18.26,42.76,28.41,15.85,30.92,1068.47,23.67 -1998-03-12 00:00:00,13.81,6.75,18.3,43.25,28.43,16.08,33.03,1069.92,23.64 -1998-03-13 00:00:00,13.53,6.78,18.1,42.98,28.1,16.18,32.98,1068.61,23.8 -1998-03-16 00:00:00,13.94,6.67,18.34,43.68,28.01,16.11,33.27,1079.27,23.76 -1998-03-17 00:00:00,14.08,6.59,18.49,43.52,28.08,15.79,33.46,1080.45,23.3 -1998-03-18 00:00:00,14.05,6.74,18.42,43.82,27.99,16.06,32.69,1085.52,23.92 -1998-03-19 00:00:00,14.36,6.69,18.5,44.38,27.87,16.11,32.16,1089.74,23.99 -1998-03-20 00:00:00,14.16,6.59,18.86,44.03,28.34,16.07,33.03,1099.16,24.84 -1998-03-23 00:00:00,13.96,6.53,18.59,43.74,27.76,16.48,32.4,1095.55,25.17 -1998-03-24 00:00:00,13.85,7.0,19.09,44.65,27.64,16.69,32.5,1105.65,25.31 -1998-03-25 00:00:00,13.96,6.79,18.95,45.73,27.38,17.45,32.84,1101.93,25.08 -1998-03-26 00:00:00,13.88,6.64,19.05,45.33,27.19,17.34,33.22,1100.8,25.24 -1998-03-27 00:00:00,13.69,6.74,19.3,45.03,26.75,17.25,32.5,1095.44,25.03 -1998-03-30 00:00:00,13.21,6.86,19.71,44.55,26.82,17.28,32.84,1093.6,25.15 -1998-03-31 00:00:00,13.31,6.88,19.92,44.81,27.48,17.58,32.79,1101.75,25.03 -1998-04-01 00:00:00,13.25,6.88,19.98,45.06,27.45,17.75,33.51,1108.15,25.52 -1998-04-02 00:00:00,13.46,6.83,20.28,45.65,28.53,17.94,33.94,1120.01,25.86 -1998-04-03 00:00:00,13.35,6.76,20.19,45.17,28.81,18.27,34.33,1122.7,25.61 -1998-04-06 00:00:00,13.46,6.56,20.06,45.73,28.5,17.67,32.98,1121.38,25.33 -1998-04-07 00:00:00,13.11,6.38,20.13,45.17,28.15,17.14,32.55,1109.55,25.08 -1998-04-08 00:00:00,13.27,6.25,19.9,45.09,27.57,17.47,32.31,1101.65,24.47 -1998-04-09 00:00:00,13.55,6.41,19.99,45.89,27.85,17.49,32.26,1110.67,24.71 -1998-04-13 00:00:00,13.79,6.61,20.06,44.95,27.59,17.41,31.73,1109.69,25.05 -1998-04-14 00:00:00,14.7,6.74,20.02,45.84,27.15,17.38,31.73,1115.75,24.87 -1998-04-15 00:00:00,15.18,6.86,20.0,47.35,26.77,17.95,32.12,1119.32,25.42 -1998-04-16 00:00:00,14.89,7.16,19.79,46.51,26.19,18.01,31.97,1108.17,26.02 -1998-04-17 00:00:00,14.82,6.99,20.16,46.49,27.15,18.1,32.12,1122.72,26.67 -1998-04-20 00:00:00,14.94,7.25,19.9,47.97,26.7,18.59,32.16,1123.65,27.0 -1998-04-21 00:00:00,15.16,7.25,19.89,50.91,26.47,18.64,32.31,1126.67,27.13 -1998-04-22 00:00:00,15.22,6.88,19.69,49.51,26.7,19.42,33.7,1130.54,27.0 -1998-04-23 00:00:00,15.28,6.92,19.51,50.69,26.51,18.57,33.94,1119.58,27.3 -1998-04-24 00:00:00,15.1,6.99,19.38,50.64,26.42,18.1,33.51,1107.9,27.2 -1998-04-27 00:00:00,14.92,6.94,19.05,49.75,25.95,17.74,33.08,1086.54,27.5 -1998-04-28 00:00:00,14.75,6.74,18.75,49.91,25.81,17.66,30.53,1085.11,27.16 -1998-04-29 00:00:00,14.85,6.75,19.02,49.86,25.89,17.78,30.24,1094.62,27.0 -1998-04-30 00:00:00,14.99,6.84,19.69,49.99,26.75,17.71,30.48,1111.75,27.04 -1998-05-01 00:00:00,15.05,7.0,19.64,50.42,26.26,17.61,30.24,1121.0,27.99 -1998-05-04 00:00:00,15.13,7.26,19.5,50.32,26.47,17.3,30.24,1122.07,27.67 -1998-05-05 00:00:00,14.94,7.42,19.25,50.83,26.33,17.24,30.87,1115.5,27.39 -1998-05-06 00:00:00,14.76,7.58,19.19,50.68,25.93,16.97,30.05,1104.92,27.55 -1998-05-07 00:00:00,14.54,7.55,18.92,50.63,26.02,16.38,29.09,1095.14,27.11 -1998-05-08 00:00:00,14.65,7.61,19.22,51.87,26.61,16.85,29.72,1108.14,27.09 -1998-05-11 00:00:00,14.82,7.74,19.22,51.57,26.23,16.55,29.76,1106.64,27.15 -1998-05-12 00:00:00,14.92,7.53,19.28,51.71,26.51,16.83,30.29,1115.79,27.47 -1998-05-13 00:00:00,14.89,7.61,19.56,52.68,27.1,17.08,29.86,1118.86,27.4 -1998-05-14 00:00:00,14.77,7.51,19.44,54.38,27.01,17.47,30.0,1117.37,27.4 -1998-05-15 00:00:00,14.36,7.39,19.09,54.01,26.42,17.57,28.85,1108.73,27.43 -1998-05-18 00:00:00,14.2,7.12,19.07,53.87,26.65,16.91,29.04,1105.82,27.01 -1998-05-19 00:00:00,13.88,7.34,19.15,54.03,26.54,16.99,29.14,1109.52,26.91 -1998-05-20 00:00:00,13.88,7.39,19.8,53.38,26.73,16.85,31.11,1119.06,26.52 -1998-05-21 00:00:00,13.86,7.22,19.86,53.43,26.63,16.97,30.77,1114.64,26.19 -1998-05-22 00:00:00,13.84,6.97,19.64,52.71,26.47,16.81,30.63,1110.47,26.26 -1998-05-26 00:00:00,13.72,6.67,19.14,52.3,26.23,16.43,31.01,1094.02,25.89 -1998-05-27 00:00:00,13.78,6.69,19.35,51.98,26.07,16.9,31.59,1092.23,26.19 -1998-05-28 00:00:00,13.62,6.86,19.5,51.9,26.28,16.96,31.06,1097.6,26.4 -1998-05-29 00:00:00,13.46,6.66,19.27,50.79,25.93,16.66,31.35,1090.82,26.24 -1998-06-01 00:00:00,13.32,6.56,19.15,50.66,25.88,16.45,31.88,1090.98,26.29 -1998-06-02 00:00:00,13.43,6.72,19.12,49.95,25.69,16.8,31.64,1093.22,26.03 -1998-06-03 00:00:00,13.28,6.58,18.79,49.22,25.43,16.56,31.3,1082.73,25.68 -1998-06-04 00:00:00,13.2,6.7,19.28,50.17,26.04,16.91,31.3,1094.83,26.17 -1998-06-05 00:00:00,13.33,6.72,19.59,51.38,26.84,16.94,32.26,1113.86,26.73 -1998-06-08 00:00:00,13.39,6.81,19.51,51.36,26.56,16.83,31.78,1115.72,26.5 -1998-06-09 00:00:00,13.32,7.06,19.6,51.55,27.05,17.1,32.26,1118.41,26.03 -1998-06-10 00:00:00,12.95,7.01,19.7,50.68,27.33,16.9,31.88,1112.28,25.61 -1998-06-11 00:00:00,12.67,6.95,19.46,50.14,27.36,16.76,31.11,1094.58,25.33 -1998-06-12 00:00:00,12.61,7.03,19.7,50.25,27.41,16.85,31.35,1098.84,25.8 -1998-06-15 00:00:00,12.37,6.88,19.38,48.52,26.79,16.88,31.73,1077.01,25.5 -1998-06-16 00:00:00,12.25,7.0,19.7,47.55,27.41,17.66,31.88,1087.59,25.89 -1998-06-17 00:00:00,12.55,7.03,20.23,47.98,27.87,17.89,32.26,1107.11,26.43 -1998-06-18 00:00:00,12.4,6.83,20.32,47.03,28.11,17.92,32.26,1106.37,26.33 -1998-06-19 00:00:00,12.51,6.76,20.11,45.87,28.39,18.6,31.16,1100.65,26.08 -1998-06-22 00:00:00,12.42,6.84,19.9,46.74,28.06,18.82,31.25,1103.21,26.29 -1998-06-23 00:00:00,12.52,6.95,20.36,48.3,28.67,19.79,31.73,1119.49,26.73 -1998-06-24 00:00:00,12.32,7.06,20.75,48.41,29.19,20.62,32.46,1132.88,26.96 -1998-06-25 00:00:00,12.29,7.14,20.74,48.6,28.88,19.95,31.93,1129.28,26.98 -1998-06-26 00:00:00,12.76,7.05,20.81,48.84,28.88,20.52,31.73,1133.2,26.89 -1998-06-29 00:00:00,12.82,7.17,21.0,49.33,28.91,21.11,31.78,1138.49,26.61 -1998-06-30 00:00:00,12.8,7.17,21.0,49.63,27.78,21.29,31.73,1133.84,26.56 -1998-07-01 00:00:00,13.0,7.49,21.07,50.47,27.5,21.49,32.36,1148.56,27.15 -1998-07-02 00:00:00,12.86,7.25,21.02,49.79,27.66,21.07,33.66,1146.42,27.12 -1998-07-06 00:00:00,12.61,7.59,21.3,49.14,27.17,21.18,33.13,1157.33,27.29 -1998-07-07 00:00:00,12.75,7.62,21.47,49.22,27.99,21.21,32.55,1154.66,27.08 -1998-07-08 00:00:00,12.88,8.14,21.63,49.71,27.43,21.59,32.36,1166.38,27.24 -1998-07-09 00:00:00,12.76,7.92,21.82,50.6,27.2,21.81,31.83,1158.56,26.71 -1998-07-10 00:00:00,12.49,8.02,21.75,51.22,26.98,22.24,32.6,1164.33,26.68 -1998-07-13 00:00:00,12.69,8.48,21.69,51.6,26.96,23.1,31.93,1165.19,26.24 -1998-07-14 00:00:00,13.32,8.36,22.04,51.71,27.87,22.89,30.24,1177.58,26.82 -1998-07-15 00:00:00,14.04,8.61,21.81,50.57,28.48,23.06,29.38,1174.81,26.66 -1998-07-16 00:00:00,14.19,9.38,22.2,51.17,29.05,23.06,29.23,1183.99,26.56 -1998-07-17 00:00:00,14.08,9.22,22.42,51.95,29.12,23.17,30.43,1186.75,26.94 -1998-07-20 00:00:00,13.94,9.06,22.14,52.73,28.95,22.99,30.63,1184.1,26.26 -1998-07-21 00:00:00,13.92,8.91,21.55,55.38,28.63,22.16,30.92,1165.07,26.13 -1998-07-22 00:00:00,13.95,8.75,21.18,55.09,29.14,22.94,30.43,1164.08,26.73 -1998-07-23 00:00:00,13.83,8.73,20.87,53.54,28.16,22.2,28.94,1139.75,26.1 -1998-07-24 00:00:00,13.71,8.67,21.26,53.71,28.74,22.36,30.63,1140.8,26.19 -1998-07-27 00:00:00,13.62,8.61,21.33,54.25,28.91,22.94,30.82,1147.27,26.59 -1998-07-28 00:00:00,13.49,8.41,21.06,54.22,28.98,22.05,30.72,1130.24,25.91 -1998-07-29 00:00:00,13.52,8.78,20.75,55.27,29.45,21.75,29.81,1125.21,26.31 -1998-07-30 00:00:00,13.69,9.12,21.17,57.65,29.8,22.29,30.05,1142.95,26.84 -1998-07-31 00:00:00,13.45,8.66,20.74,57.27,29.0,21.6,30.0,1120.67,26.15 -1998-08-03 00:00:00,13.17,8.78,20.75,57.38,28.39,21.3,30.34,1112.44,25.5 -1998-08-04 00:00:00,12.73,8.55,19.81,54.81,27.59,20.53,28.8,1072.12,24.98 -1998-08-05 00:00:00,12.66,9.0,20.11,55.65,28.13,20.49,29.09,1081.43,24.64 -1998-08-06 00:00:00,12.69,9.22,20.59,56.18,28.34,21.0,29.13,1089.63,24.17 -1998-08-07 00:00:00,13.0,9.12,20.43,55.91,28.51,20.8,28.89,1089.45,24.92 -1998-08-10 00:00:00,13.09,9.48,20.36,56.24,27.92,20.52,27.59,1083.14,25.17 -1998-08-11 00:00:00,12.75,9.75,20.24,55.64,27.78,20.32,26.68,1068.98,25.46 -1998-08-12 00:00:00,12.76,10.02,20.72,55.42,28.18,20.64,26.29,1084.22,25.11 -1998-08-13 00:00:00,12.48,9.86,20.37,54.64,28.44,20.42,26.44,1074.91,25.54 -1998-08-14 00:00:00,12.31,10.12,20.27,54.28,28.25,20.48,26.1,1062.75,25.6 -1998-08-17 00:00:00,12.59,10.48,20.71,54.18,28.79,21.08,26.1,1083.67,26.07 -1998-08-18 00:00:00,13.05,10.64,21.04,55.8,28.7,21.86,26.53,1101.2,26.28 -1998-08-19 00:00:00,13.25,10.25,21.16,56.26,28.6,21.72,26.1,1098.06,26.49 -1998-08-20 00:00:00,13.38,10.16,20.97,55.45,28.44,22.11,25.72,1091.6,26.7 -1998-08-21 00:00:00,12.94,10.75,20.78,55.37,28.67,21.73,25.04,1081.24,26.54 -1998-08-24 00:00:00,12.66,10.3,20.81,55.67,28.84,21.68,25.86,1088.14,26.42 -1998-08-25 00:00:00,12.42,10.2,20.94,55.61,28.63,22.16,26.97,1092.85,26.35 -1998-08-26 00:00:00,12.18,10.1,20.97,56.67,28.95,22.11,26.29,1084.19,26.35 -1998-08-27 00:00:00,11.55,9.38,20.07,54.23,27.85,21.46,25.38,1042.59,25.93 -1998-08-28 00:00:00,11.81,8.55,19.91,53.07,27.94,20.68,24.17,1027.14,25.3 -1998-08-31 00:00:00,11.67,7.8,18.55,48.76,25.99,18.85,21.48,957.28,24.51 -1998-09-01 00:00:00,12.3,8.53,19.17,51.07,27.26,19.89,24.94,994.26,24.85 -1998-09-02 00:00:00,12.12,8.89,18.63,52.18,27.38,19.76,23.93,990.48,23.97 -1998-09-03 00:00:00,12.6,8.66,18.03,52.72,28.2,19.5,23.79,982.26,23.94 -1998-09-04 00:00:00,12.42,8.78,17.59,51.69,28.67,18.98,23.84,973.89,24.74 -1998-09-08 00:00:00,13.1,9.56,18.98,54.53,29.73,20.03,24.42,1023.46,25.25 -1998-09-09 00:00:00,12.93,9.35,18.59,53.47,28.86,20.09,23.07,1006.2,25.72 -1998-09-10 00:00:00,12.65,9.53,17.87,53.04,28.48,19.79,22.0,980.19,26.1 -1998-09-11 00:00:00,13.26,9.41,18.37,54.8,28.77,20.48,23.02,1009.06,26.42 -1998-09-14 00:00:00,13.65,9.3,18.34,55.91,29.76,20.83,24.23,1029.72,26.4 -1998-09-15 00:00:00,13.69,9.55,18.1,56.29,29.4,21.28,23.21,1037.68,26.68 -1998-09-16 00:00:00,13.83,9.33,18.52,56.51,28.95,21.26,23.98,1045.48,26.14 -1998-09-17 00:00:00,13.22,9.0,18.14,54.88,28.72,20.62,23.26,1018.87,25.67 -1998-09-18 00:00:00,13.21,9.19,18.05,53.99,28.91,20.7,23.31,1020.09,25.51 -1998-09-21 00:00:00,13.25,9.23,18.37,55.51,29.87,21.19,23.45,1023.89,25.54 -1998-09-22 00:00:00,13.28,9.25,18.52,55.31,29.47,21.45,24.27,1029.63,25.11 -1998-09-23 00:00:00,14.05,9.58,19.49,57.18,29.92,22.32,23.69,1066.09,26.33 -1998-09-24 00:00:00,13.71,9.62,18.95,56.53,29.66,21.63,23.98,1042.72,25.98 -1998-09-25 00:00:00,13.98,9.69,19.26,57.8,29.31,22.21,23.55,1044.75,25.6 -1998-09-28 00:00:00,14.14,9.77,19.44,57.86,30.13,21.87,23.98,1048.69,25.49 -1998-09-29 00:00:00,14.1,9.88,19.28,56.91,29.87,22.17,23.84,1049.02,26.68 -1998-09-30 00:00:00,13.83,9.53,18.51,55.64,29.47,21.62,22.77,1017.01,26.45 -1998-10-01 00:00:00,13.28,8.92,17.58,54.28,28.77,20.44,22.92,986.39,26.42 -1998-10-02 00:00:00,13.47,8.77,17.54,54.04,29.05,20.46,23.55,1002.6,27.34 -1998-10-05 00:00:00,13.28,8.05,16.99,52.07,29.92,19.88,24.27,988.56,28.04 -1998-10-06 00:00:00,14.12,8.14,17.16,51.63,29.97,19.18,25.63,984.59,28.37 -1998-10-07 00:00:00,14.15,7.99,17.45,52.28,29.12,18.49,25.87,970.68,27.73 -1998-10-08 00:00:00,14.27,7.7,16.65,53.47,28.55,17.92,26.01,959.44,26.85 -1998-10-09 00:00:00,15.18,8.78,16.87,55.12,28.63,19.03,24.85,984.39,26.49 -1998-10-12 00:00:00,15.29,9.36,17.23,56.67,28.79,19.6,24.52,997.71,26.89 -1998-10-13 00:00:00,14.56,9.69,17.71,55.51,29.29,18.95,24.76,994.8,27.34 -1998-10-14 00:00:00,14.22,9.35,18.06,56.51,30.08,19.68,23.79,1005.53,27.71 -1998-10-15 00:00:00,15.02,9.16,19.08,59.1,31.12,20.72,24.71,1047.49,28.32 -1998-10-16 00:00:00,15.44,9.17,19.5,58.86,31.31,20.64,25.92,1056.42,28.58 -1998-10-19 00:00:00,15.21,9.38,19.4,60.35,31.19,20.22,25.53,1062.39,28.04 -1998-10-20 00:00:00,15.26,9.02,19.14,59.7,30.6,19.7,26.26,1063.93,28.67 -1998-10-21 00:00:00,15.22,9.28,19.52,61.78,30.44,20.91,27.56,1069.92,28.3 -1998-10-22 00:00:00,15.1,9.19,20.13,61.4,31.31,21.61,28.38,1078.48,26.87 -1998-10-23 00:00:00,14.82,8.88,20.14,61.29,31.55,20.9,27.8,1070.67,26.68 -1998-10-26 00:00:00,14.65,9.36,19.98,61.94,30.89,21.03,27.47,1072.32,26.66 -1998-10-27 00:00:00,14.78,8.81,19.9,62.52,30.72,20.72,26.5,1065.34,26.05 -1998-10-28 00:00:00,14.51,9.2,19.77,63.3,30.44,20.76,25.87,1068.09,26.38 -1998-10-29 00:00:00,15.1,9.11,20.2,64.41,31.03,20.95,26.74,1085.93,27.22 -1998-10-30 00:00:00,15.44,9.28,20.36,64.3,30.7,20.8,26.11,1098.67,26.82 -1998-11-02 00:00:00,15.04,9.41,20.33,64.25,30.72,20.79,27.71,1111.6,26.98 -1998-11-03 00:00:00,15.2,9.45,20.59,63.81,30.96,20.67,27.76,1110.84,27.34 -1998-11-04 00:00:00,15.5,9.67,20.65,64.03,30.84,20.73,27.71,1118.67,26.96 -1998-11-05 00:00:00,15.63,9.55,21.13,64.52,30.77,20.9,28.53,1133.85,27.29 -1998-11-06 00:00:00,15.51,9.52,21.03,65.02,30.86,21.48,27.9,1141.01,27.52 -1998-11-09 00:00:00,15.45,9.16,20.65,65.64,30.96,21.75,27.71,1130.2,27.11 -1998-11-10 00:00:00,15.33,8.78,20.72,67.65,31.38,22.02,28.82,1128.26,26.41 -1998-11-11 00:00:00,15.43,8.39,20.29,68.14,31.33,21.82,28.58,1120.97,26.45 -1998-11-12 00:00:00,15.26,8.5,20.16,68.46,31.81,21.37,29.4,1117.69,27.42 -1998-11-13 00:00:00,15.41,8.92,20.52,68.27,31.97,21.61,30.56,1125.72,27.44 -1998-11-16 00:00:00,15.06,9.0,21.05,69.11,32.21,21.38,29.4,1135.87,26.9 -1998-11-17 00:00:00,15.43,8.7,20.94,68.51,32.06,21.98,28.58,1139.32,26.57 -1998-11-18 00:00:00,15.48,8.86,21.35,68.95,32.47,21.56,28.72,1144.48,26.62 -1998-11-19 00:00:00,15.5,8.94,21.54,68.76,32.72,21.95,28.92,1152.61,26.31 -1998-11-20 00:00:00,15.6,8.83,21.57,69.44,33.62,22.32,28.87,1163.55,27.11 -1998-11-23 00:00:00,15.7,9.06,22.02,72.23,33.24,23.42,29.01,1188.21,27.14 -1998-11-24 00:00:00,15.22,8.98,21.93,71.66,32.21,23.91,28.82,1182.99,27.37 -1998-11-25 00:00:00,15.24,8.78,21.69,72.31,31.28,24.41,29.35,1186.87,27.37 -1998-11-27 00:00:00,15.28,8.77,21.48,73.72,31.07,25.16,30.27,1192.33,28.01 -1998-11-30 00:00:00,14.51,7.99,21.03,71.61,30.69,23.97,29.93,1163.63,28.24 -1998-12-01 00:00:00,14.27,8.53,21.2,73.67,30.6,25.44,31.67,1175.28,26.97 -1998-12-02 00:00:00,14.58,9.0,21.16,72.61,30.41,24.9,30.75,1171.25,26.83 -1998-12-03 00:00:00,14.28,8.42,20.49,70.9,30.06,23.99,30.56,1150.14,26.57 -1998-12-04 00:00:00,14.08,8.19,20.97,71.22,30.88,25.02,30.51,1176.74,26.93 -1998-12-07 00:00:00,14.51,8.44,21.13,72.5,30.83,26.24,30.51,1187.7,27.49 -1998-12-08 00:00:00,14.57,8.02,21.05,72.93,30.06,25.77,30.41,1181.38,27.56 -1998-12-09 00:00:00,14.51,8.0,20.94,73.47,30.17,26.25,30.42,1183.49,27.84 -1998-12-10 00:00:00,14.21,8.0,20.58,71.55,29.94,25.85,29.5,1165.02,27.77 -1998-12-11 00:00:00,14.26,8.44,20.72,72.85,30.15,26.33,29.35,1166.46,28.1 -1998-12-14 00:00:00,14.26,8.12,20.2,70.63,29.8,25.14,28.77,1141.2,28.03 -1998-12-15 00:00:00,13.89,8.39,21.67,71.55,30.51,25.91,29.64,1162.83,27.87 -1998-12-16 00:00:00,14.01,8.2,21.41,71.28,30.27,26.28,29.25,1161.94,28.45 -1998-12-17 00:00:00,13.77,8.36,21.95,72.01,30.22,26.4,29.89,1179.98,28.19 -1998-12-18 00:00:00,13.56,8.8,22.54,74.39,30.03,27.07,30.56,1188.03,28.6 -1998-12-21 00:00:00,13.61,8.77,22.89,76.48,29.04,27.59,30.76,1202.84,28.17 -1998-12-22 00:00:00,13.53,9.5,23.05,79.03,29.09,27.2,30.71,1203.57,28.22 -1998-12-23 00:00:00,13.99,9.95,23.59,80.22,29.77,28.2,31.29,1228.54,28.27 -1998-12-24 00:00:00,14.13,9.81,23.49,81.5,29.98,27.85,31.39,1226.27,28.1 -1998-12-28 00:00:00,14.09,10.22,23.66,82.06,30.43,27.97,31.24,1225.49,28.06 -1998-12-29 00:00:00,14.18,10.2,24.11,81.15,31.64,27.6,31.83,1241.81,28.48 -1998-12-30 00:00:00,14.51,10.02,23.89,80.98,31.73,27.31,31.05,1231.93,28.1 -1998-12-31 00:00:00,14.57,10.23,23.82,79.95,31.68,27.25,31.73,1229.23,27.54 -1999-01-04 00:00:00,14.41,10.31,23.48,79.35,31.24,27.7,31.58,1228.1,27.35 -1999-01-05 00:00:00,14.71,10.83,23.98,82.23,31.36,28.78,31.63,1244.78,27.11 -1999-01-06 00:00:00,15.29,10.44,24.45,81.85,31.73,29.72,32.46,1272.34,28.19 -1999-01-07 00:00:00,15.1,11.25,24.04,82.47,31.43,29.57,31.63,1269.73,28.15 -1999-01-08 00:00:00,16.64,11.25,23.9,81.33,31.45,29.45,32.12,1275.09,27.98 -1999-01-11 00:00:00,17.24,11.47,23.28,82.06,30.29,28.98,31.73,1263.88,26.83 -1999-01-12 00:00:00,16.66,11.53,22.82,80.25,30.15,27.94,31.05,1239.51,26.64 -1999-01-13 00:00:00,16.39,11.62,22.55,80.44,29.09,28.25,31.24,1234.4,26.55 -1999-01-14 00:00:00,15.95,10.35,22.66,78.33,29.49,27.85,30.08,1212.19,26.27 -1999-01-15 00:00:00,16.82,10.33,23.53,80.2,30.22,29.42,30.66,1243.26,26.76 -1999-01-19 00:00:00,16.8,10.22,23.69,83.37,30.39,30.58,29.11,1252.0,26.76 -1999-01-20 00:00:00,16.39,10.14,23.44,84.34,30.6,31.95,29.84,1256.62,26.74 -1999-01-21 00:00:00,16.42,9.7,23.19,85.43,30.22,31.1,29.45,1235.16,26.78 -1999-01-22 00:00:00,15.88,9.69,22.85,77.95,29.66,30.7,30.22,1225.19,26.88 -1999-01-25 00:00:00,16.24,9.85,23.47,78.92,29.75,31.8,31.24,1233.98,27.11 -1999-01-26 00:00:00,16.27,10.12,23.82,80.5,31.17,33.71,30.81,1252.31,27.21 -1999-01-27 00:00:00,15.99,10.03,23.7,77.32,31.59,33.13,31.15,1243.17,26.74 -1999-01-28 00:00:00,16.37,10.22,24.15,77.49,32.02,34.18,30.9,1265.37,26.74 -1999-01-29 00:00:00,16.33,10.3,24.49,79.46,32.16,34.38,30.27,1279.64,26.45 -1999-02-01 00:00:00,16.21,10.23,23.86,77.95,31.62,33.98,29.59,1273.0,26.22 -1999-02-02 00:00:00,15.99,9.8,23.82,76.64,31.33,32.93,30.22,1261.99,25.87 -1999-02-03 00:00:00,16.32,10.05,24.02,75.99,31.87,32.77,30.13,1272.07,26.5 -1999-02-04 00:00:00,17.02,9.47,23.38,73.53,31.68,31.25,29.55,1248.49,26.29 -1999-02-05 00:00:00,17.58,9.08,22.88,71.98,31.73,31.43,29.4,1239.4,27.0 -1999-02-08 00:00:00,17.38,9.44,22.78,72.51,31.73,32.47,29.74,1243.77,27.53 -1999-02-09 00:00:00,17.31,9.3,22.42,70.67,31.24,31.45,29.3,1216.14,27.34 -1999-02-10 00:00:00,17.01,9.58,22.87,73.33,31.66,31.56,29.89,1223.55,27.48 -1999-02-11 00:00:00,16.96,9.91,23.35,77.51,32.06,31.97,29.4,1254.04,26.65 -1999-02-12 00:00:00,16.63,9.42,22.79,75.01,32.06,30.99,28.82,1230.13,26.3 -1999-02-16 00:00:00,15.88,9.58,23.12,74.9,32.82,30.7,28.91,1241.87,25.97 -1999-02-17 00:00:00,15.54,9.25,23.19,74.03,32.49,29.47,29.16,1224.03,25.99 -1999-02-18 00:00:00,16.09,9.0,23.5,75.66,32.7,28.63,29.16,1237.28,26.08 -1999-02-19 00:00:00,16.3,9.3,23.44,74.52,32.82,29.03,30.42,1239.22,25.94 -1999-02-22 00:00:00,16.34,9.61,24.28,77.26,33.32,29.24,30.66,1272.14,25.83 -1999-02-23 00:00:00,16.25,9.61,24.05,76.83,33.11,30.54,30.66,1271.18,25.66 -1999-02-24 00:00:00,16.3,9.36,23.58,75.44,32.49,30.04,30.27,1253.41,25.7 -1999-02-25 00:00:00,16.14,9.23,23.44,75.39,32.0,30.16,29.74,1245.02,25.49 -1999-02-26 00:00:00,15.91,8.7,23.42,73.71,32.35,29.5,29.16,1238.33,25.21 -1999-03-01 00:00:00,16.25,8.44,23.57,73.11,32.37,29.81,29.5,1236.16,24.69 -1999-03-02 00:00:00,15.57,8.66,23.19,72.84,32.23,29.19,28.62,1225.5,24.55 -1999-03-03 00:00:00,15.22,8.55,23.06,72.4,32.09,29.4,28.91,1227.7,24.88 -1999-03-04 00:00:00,15.37,8.36,23.55,74.25,32.94,29.91,29.3,1246.64,25.68 -1999-03-05 00:00:00,15.79,8.3,24.3,77.45,33.72,30.44,30.95,1275.47,26.39 -1999-03-08 00:00:00,15.54,8.6,24.56,77.67,33.75,31.24,30.32,1282.73,26.87 -1999-03-09 00:00:00,14.88,8.53,24.84,79.11,33.2,31.79,29.84,1279.84,26.49 -1999-03-10 00:00:00,15.27,8.14,24.78,78.81,33.15,31.71,29.65,1286.84,27.77 -1999-03-11 00:00:00,15.32,8.05,25.09,79.41,33.65,31.72,29.65,1297.68,28.31 -1999-03-12 00:00:00,14.68,8.3,25.16,77.29,33.56,31.47,29.99,1294.59,28.0 -1999-03-15 00:00:00,14.83,8.52,25.8,79.03,34.46,32.59,30.28,1307.26,27.91 -1999-03-16 00:00:00,14.85,8.88,25.78,78.59,34.2,33.21,31.06,1306.38,27.69 -1999-03-17 00:00:00,15.42,8.52,25.41,77.31,34.08,32.83,31.2,1297.82,28.17 -1999-03-18 00:00:00,15.96,8.88,25.78,77.13,34.03,33.88,31.25,1316.55,28.29 -1999-03-19 00:00:00,16.65,8.38,26.25,73.19,34.5,33.63,31.11,1299.29,27.67 -1999-03-22 00:00:00,16.25,8.77,25.86,72.51,34.72,33.95,30.96,1297.01,27.93 -1999-03-23 00:00:00,15.71,8.25,24.97,71.81,34.2,32.72,30.28,1262.14,27.55 -1999-03-24 00:00:00,16.1,8.42,25.02,73.6,34.36,33.64,29.79,1268.59,26.87 -1999-03-25 00:00:00,16.55,8.45,25.43,74.38,34.86,35.35,30.57,1289.99,27.06 -1999-03-26 00:00:00,15.91,8.31,25.26,74.85,34.6,35.0,31.15,1282.8,27.1 -1999-03-29 00:00:00,16.42,8.85,26.25,77.24,35.6,36.29,31.69,1310.17,27.65 -1999-03-30 00:00:00,15.96,8.97,26.55,77.53,35.26,36.54,31.06,1300.75,27.01 -1999-03-31 00:00:00,16.18,8.98,25.92,76.96,35.43,35.21,30.52,1286.37,26.72 -1999-04-01 00:00:00,16.06,9.02,26.16,76.85,35.66,36.42,30.08,1293.72,26.56 -1999-04-05 00:00:00,16.01,9.27,26.86,79.87,35.95,37.3,30.28,1321.12,27.34 -1999-04-06 00:00:00,16.13,9.5,26.55,79.46,35.71,36.96,29.79,1317.89,27.53 -1999-04-07 00:00:00,17.28,9.28,26.83,80.98,35.95,36.66,29.16,1326.89,27.72 -1999-04-08 00:00:00,16.89,9.22,26.68,81.2,36.85,37.16,29.99,1343.98,28.12 -1999-04-09 00:00:00,17.21,9.19,26.29,80.9,37.13,37.03,29.79,1348.35,28.29 -1999-04-12 00:00:00,17.7,9.06,27.3,79.65,37.75,36.54,30.77,1358.63,28.57 -1999-04-13 00:00:00,18.34,8.66,27.4,78.16,37.37,35.41,29.69,1349.82,28.48 -1999-04-14 00:00:00,20.92,8.88,26.73,77.89,35.88,33.74,29.6,1328.44,28.1 -1999-04-15 00:00:00,21.14,8.94,26.36,77.18,34.93,34.92,28.82,1322.85,29.38 -1999-04-16 00:00:00,20.7,8.86,26.07,73.98,35.28,34.04,28.38,1319.0,30.28 -1999-04-19 00:00:00,21.48,8.47,24.55,72.4,34.2,31.83,28.62,1289.48,31.15 -1999-04-20 00:00:00,20.77,8.52,25.62,73.71,36.47,32.66,28.92,1306.17,30.58 -1999-04-21 00:00:00,20.67,8.6,26.61,74.63,38.18,32.22,30.33,1336.12,29.71 -1999-04-22 00:00:00,21.01,9.1,26.54,84.45,38.84,33.38,28.77,1358.82,29.9 -1999-04-23 00:00:00,21.21,9.8,26.45,86.73,38.55,33.79,28.23,1356.85,29.66 -1999-04-26 00:00:00,20.92,10.23,26.6,91.13,37.96,34.58,28.62,1360.04,29.42 -1999-04-27 00:00:00,21.75,11.44,26.36,92.05,38.63,33.01,29.45,1362.8,29.64 -1999-04-28 00:00:00,24.35,11.02,26.13,89.01,37.7,32.27,29.26,1350.91,30.87 -1999-04-29 00:00:00,25.41,10.75,25.22,88.93,37.39,32.24,28.77,1342.83,32.0 -1999-04-30 00:00:00,24.45,11.5,24.69,90.83,36.94,31.95,28.77,1335.18,31.46 -1999-05-03 00:00:00,23.86,12.39,24.75,92.16,37.04,31.38,29.16,1354.63,32.59 -1999-05-04 00:00:00,24.08,11.62,24.59,92.05,36.0,30.67,28.87,1332.0,32.74 -1999-05-05 00:00:00,23.72,11.75,25.54,92.11,35.62,31.09,29.01,1347.31,32.12 -1999-05-06 00:00:00,25.12,11.12,25.37,90.96,36.99,30.62,28.57,1332.05,31.2 -1999-05-07 00:00:00,25.17,11.47,25.76,94.44,36.42,31.06,28.62,1345.0,31.41 -1999-05-10 00:00:00,25.64,11.31,25.48,95.04,35.38,31.31,27.46,1340.3,31.35 -1999-05-11 00:00:00,25.64,11.19,26.0,96.07,35.17,31.38,26.97,1355.61,31.07 -1999-05-12 00:00:00,24.75,11.62,25.82,98.02,35.88,31.63,27.65,1364.0,30.09 -1999-05-13 00:00:00,24.43,11.55,25.62,106.94,36.09,31.09,28.92,1367.56,30.21 -1999-05-14 00:00:00,24.63,11.1,24.83,104.0,35.29,30.2,29.74,1337.8,29.97 -1999-05-17 00:00:00,24.88,11.1,24.9,103.24,34.87,31.09,29.31,1339.49,30.07 -1999-05-18 00:00:00,24.14,11.31,24.43,103.68,34.34,30.92,29.4,1333.32,29.59 -1999-05-19 00:00:00,24.04,11.3,25.31,102.54,35.48,31.16,29.21,1344.23,29.95 -1999-05-20 00:00:00,22.98,10.62,24.94,101.23,36.1,30.82,29.31,1338.83,30.45 -1999-05-21 00:00:00,23.62,10.98,24.4,100.15,35.15,30.48,29.84,1330.29,31.5 -1999-05-24 00:00:00,23.77,10.48,24.25,97.26,34.39,30.35,29.45,1306.65,30.31 -1999-05-25 00:00:00,22.39,10.38,23.99,96.15,33.37,29.96,29.21,1284.4,30.52 -1999-05-26 00:00:00,22.71,11.02,24.16,102.7,34.2,30.84,28.62,1304.76,31.19 -1999-05-27 00:00:00,22.32,10.88,23.6,100.85,34.3,30.79,28.04,1281.41,30.0 -1999-05-28 00:00:00,21.67,11.02,23.83,100.85,35.2,31.71,27.65,1301.84,30.4 -1999-06-01 00:00:00,23.6,11.2,24.03,97.37,35.2,30.84,28.33,1294.26,29.97 -1999-06-02 00:00:00,23.35,11.64,23.92,98.89,34.84,30.82,28.23,1294.81,30.55 -1999-06-03 00:00:00,23.57,11.86,24.11,98.19,35.6,30.01,28.04,1299.54,30.43 -1999-06-04 00:00:00,24.41,12.03,24.57,100.85,36.75,31.26,28.28,1327.75,30.71 -1999-06-07 00:00:00,24.06,12.23,24.47,104.76,36.46,31.53,28.19,1334.52,30.78 -1999-06-08 00:00:00,24.85,11.92,23.99,101.39,35.25,31.19,27.8,1317.33,30.38 -1999-06-09 00:00:00,24.83,12.11,24.06,101.72,34.89,32.34,27.51,1318.64,30.5 -1999-06-10 00:00:00,25.52,12.03,23.67,100.2,34.01,31.38,27.46,1302.82,30.31 -1999-06-11 00:00:00,24.83,11.61,23.75,99.38,34.53,30.7,27.66,1293.64,30.05 -1999-06-14 00:00:00,25.61,11.36,24.31,100.42,34.44,30.48,27.51,1294.0,30.88 -1999-06-15 00:00:00,25.49,11.52,24.42,100.74,34.46,30.53,27.85,1301.16,31.26 -1999-06-16 00:00:00,25.59,11.98,25.03,104.93,34.53,31.83,27.95,1330.41,30.66 -1999-06-17 00:00:00,26.55,11.6,25.41,104.49,34.94,32.56,28.39,1339.9,30.93 -1999-06-18 00:00:00,26.62,11.78,25.2,104.98,34.49,33.4,28.15,1342.84,30.59 -1999-06-21 00:00:00,24.98,11.62,24.74,108.46,34.23,34.95,27.46,1349.0,29.78 -1999-06-22 00:00:00,24.53,11.35,24.81,107.26,34.51,33.99,28.19,1335.88,29.31 -1999-06-23 00:00:00,24.36,10.92,24.79,106.88,34.39,33.79,28.0,1333.06,29.73 -1999-06-24 00:00:00,23.79,10.58,25.02,106.55,34.8,33.25,27.66,1315.78,29.12 -1999-06-25 00:00:00,24.68,10.55,24.47,107.04,34.44,33.38,27.95,1315.31,29.0 -1999-06-28 00:00:00,24.92,10.64,24.88,106.55,34.53,34.09,28.78,1331.35,28.57 -1999-06-29 00:00:00,24.8,11.35,25.7,108.34,35.72,34.58,29.71,1351.45,29.31 -1999-06-30 00:00:00,24.39,11.58,26.48,112.37,37.24,35.44,30.25,1372.71,29.35 -1999-07-01 00:00:00,24.8,11.33,26.13,113.89,37.03,35.83,29.56,1380.96,29.86 -1999-07-02 00:00:00,24.73,11.58,26.41,114.98,37.03,36.15,29.42,1391.22,30.26 -1999-07-06 00:00:00,25.12,11.85,26.78,113.89,36.81,35.19,29.42,1388.12,30.47 -1999-07-07 00:00:00,24.19,12.47,27.72,115.46,37.19,36.27,29.91,1395.86,30.62 -1999-07-08 00:00:00,24.61,13.62,27.5,116.5,36.37,36.37,30.15,1394.42,30.31 -1999-07-09 00:00:00,24.68,13.91,27.53,119.44,36.51,36.64,30.1,1403.28,30.24 -1999-07-12 00:00:00,24.51,13.62,27.12,119.81,37.03,37.01,30.3,1399.1,30.24 -1999-07-13 00:00:00,24.46,13.42,27.16,119.87,36.77,36.79,30.54,1393.56,29.86 -1999-07-14 00:00:00,24.36,13.98,27.22,119.32,36.53,37.3,30.05,1398.17,29.86 -1999-07-15 00:00:00,23.94,13.31,27.63,118.51,36.77,37.08,30.2,1409.62,30.05 -1999-07-16 00:00:00,24.06,13.27,27.94,118.46,37.05,39.07,30.69,1418.78,30.19 -1999-07-19 00:00:00,24.04,13.61,28.21,117.05,36.46,38.65,30.15,1407.65,30.0 -1999-07-20 00:00:00,23.82,13.22,27.63,111.5,36.65,36.66,30.39,1377.1,29.67 -1999-07-21 00:00:00,23.7,13.52,27.49,112.15,37.03,37.21,31.52,1379.29,29.73 -1999-07-22 00:00:00,24.24,13.1,27.03,107.69,37.38,35.78,31.13,1360.97,29.76 -1999-07-23 00:00:00,23.45,13.33,27.08,108.51,37.17,35.46,30.78,1356.94,30.12 -1999-07-26 00:00:00,23.1,12.73,26.8,106.94,36.96,34.43,30.98,1347.76,29.69 -1999-07-27 00:00:00,23.89,13.42,27.33,109.76,36.77,34.9,31.08,1362.84,29.52 -1999-07-28 00:00:00,24.24,13.6,26.8,111.61,36.39,35.36,31.18,1365.4,30.05 -1999-07-29 00:00:00,23.72,13.47,26.33,109.0,35.44,34.16,30.54,1341.03,29.64 -1999-07-30 00:00:00,23.6,13.92,25.62,109.27,34.61,33.72,30.44,1328.72,30.21 -1999-08-02 00:00:00,24.21,13.94,25.36,106.28,34.94,33.32,30.15,1328.05,29.64 -1999-08-03 00:00:00,24.51,13.81,25.36,103.78,35.8,33.3,29.95,1322.18,30.0 -1999-08-04 00:00:00,25.3,13.45,25.09,103.02,34.96,33.38,29.86,1305.33,30.4 -1999-08-05 00:00:00,25.03,13.69,25.75,107.1,34.51,33.69,29.71,1313.71,31.28 -1999-08-06 00:00:00,24.76,13.53,25.15,107.48,34.94,33.45,28.98,1300.29,30.59 -1999-08-09 00:00:00,25.94,13.61,24.7,106.34,35.37,32.93,30.05,1297.8,30.59 -1999-08-10 00:00:00,26.27,13.85,24.65,103.83,35.06,32.59,30.44,1281.43,30.9 -1999-08-11 00:00:00,27.42,14.92,24.93,107.31,35.15,33.08,29.95,1301.93,31.35 -1999-08-12 00:00:00,26.78,15.0,24.7,105.4,36.01,32.12,30.1,1298.16,31.3 -1999-08-13 00:00:00,26.29,15.02,25.33,107.36,37.09,33.28,29.76,1327.68,31.2 -1999-08-16 00:00:00,26.44,15.12,25.81,110.84,37.19,33.13,30.1,1330.77,31.2 -1999-08-17 00:00:00,26.39,15.08,26.2,111.83,37.47,33.23,29.12,1344.16,31.3 -1999-08-18 00:00:00,26.44,15.03,26.25,107.8,36.66,33.4,27.95,1332.84,31.58 -1999-08-19 00:00:00,25.77,14.69,26.09,106.99,36.52,32.93,27.66,1323.59,31.3 -1999-08-20 00:00:00,26.76,14.8,26.52,105.95,37.71,32.76,27.8,1336.61,31.58 -1999-08-23 00:00:00,26.14,15.19,27.4,108.29,38.61,33.96,27.46,1360.22,31.68 -1999-08-24 00:00:00,25.72,15.1,27.41,106.17,39.33,36.22,26.92,1363.5,31.22 -1999-08-25 00:00:00,25.13,15.35,28.05,106.49,40.31,37.45,27.95,1381.79,31.47 -1999-08-26 00:00:00,24.98,15.53,27.96,106.99,39.81,37.18,27.71,1362.01,30.72 -1999-08-27 00:00:00,25.23,16.19,27.4,107.91,38.95,36.64,27.61,1348.27,30.34 -1999-08-30 00:00:00,25.35,15.52,26.86,107.21,39.02,36.25,26.78,1324.02,29.77 -1999-08-31 00:00:00,25.52,16.31,26.4,108.4,38.97,36.37,26.68,1320.41,30.17 -1999-09-01 00:00:00,25.6,17.16,26.72,110.74,38.69,36.29,26.48,1331.07,29.96 -1999-09-02 00:00:00,25.42,17.64,26.55,109.54,38.12,36.07,26.24,1319.11,29.65 -1999-09-03 00:00:00,25.42,18.38,27.36,112.14,38.64,37.67,27.07,1357.24,30.24 -1999-09-07 00:00:00,25.7,19.09,28.16,114.87,38.81,37.03,26.34,1350.45,30.41 -1999-09-08 00:00:00,25.89,18.62,28.41,113.78,38.31,36.25,26.3,1344.15,31.06 -1999-09-09 00:00:00,25.94,18.89,28.15,117.27,38.42,36.96,26.69,1347.66,31.08 -1999-09-10 00:00:00,26.02,19.36,28.02,117.48,37.93,37.33,26.15,1351.66,30.77 -1999-09-13 00:00:00,25.84,18.75,27.87,115.2,37.85,36.88,25.9,1344.13,30.08 -1999-09-14 00:00:00,25.84,19.45,27.44,116.01,37.33,37.35,25.51,1336.29,30.29 -1999-09-15 00:00:00,25.77,18.84,27.27,114.82,37.04,36.39,26.3,1317.97,29.55 -1999-09-16 00:00:00,25.3,19.2,27.56,113.13,36.5,36.94,26.05,1318.48,29.72 -1999-09-17 00:00:00,25.89,19.24,28.21,109.1,36.61,37.89,26.39,1335.42,30.55 -1999-09-20 00:00:00,25.67,19.76,28.68,113.25,36.78,38.33,26.64,1335.53,29.91 -1999-09-21 00:00:00,24.69,17.31,28.03,110.63,35.83,37.18,25.9,1307.58,29.36 -1999-09-22 00:00:00,24.51,17.58,27.97,108.95,35.54,37.74,25.71,1310.51,28.83 -1999-09-23 00:00:00,23.97,15.83,27.44,106.17,34.73,35.83,24.82,1280.41,28.62 -1999-09-24 00:00:00,23.67,16.24,27.74,108.78,34.3,35.73,25.07,1277.36,28.62 -1999-09-27 00:00:00,24.17,15.33,28.21,107.04,35.07,35.93,25.51,1283.31,28.74 -1999-09-28 00:00:00,24.07,14.91,27.91,107.48,34.88,36.2,24.97,1282.2,28.57 -1999-09-29 00:00:00,24.14,14.77,27.45,104.48,34.95,35.17,24.33,1268.37,28.6 -1999-09-30 00:00:00,24.53,15.83,27.95,105.3,35.02,35.58,23.94,1282.71,29.07 -1999-10-01 00:00:00,23.82,15.43,27.67,102.47,35.83,35.36,24.63,1282.81,28.55 -1999-10-04 00:00:00,24.66,16.14,28.3,104.32,36.02,36.37,24.97,1304.6,27.93 -1999-10-05 00:00:00,25.35,16.99,28.51,106.17,35.9,36.07,24.68,1301.35,27.62 -1999-10-06 00:00:00,24.51,16.8,29.16,103.72,36.11,36.81,26.05,1325.4,28.31 -1999-10-07 00:00:00,24.36,16.59,28.73,101.27,35.92,36.84,26.0,1317.64,27.97 -1999-10-08 00:00:00,24.36,16.39,29.41,98.77,37.64,37.3,26.98,1336.02,27.83 -1999-10-11 00:00:00,24.91,16.67,29.03,99.43,37.49,37.06,27.23,1335.21,28.07 -1999-10-12 00:00:00,24.59,16.92,28.61,95.73,36.88,36.37,26.98,1313.04,28.05 -1999-10-13 00:00:00,24.09,16.01,28.19,91.43,36.33,35.78,26.2,1285.55,28.16 -1999-10-14 00:00:00,24.31,18.3,28.32,93.12,36.06,35.63,26.35,1283.42,28.45 -1999-10-15 00:00:00,24.31,18.64,27.29,93.87,35.57,34.6,25.27,1247.41,27.54 -1999-10-18 00:00:00,24.14,18.31,27.73,93.12,36.02,34.53,25.81,1254.13,27.93 -1999-10-19 00:00:00,24.12,17.12,27.83,93.22,38.02,33.91,26.59,1261.32,28.09 -1999-10-20 00:00:00,24.69,18.78,28.67,93.12,39.07,36.25,26.0,1289.43,29.27 -1999-10-21 00:00:00,24.69,19.03,29.06,79.19,39.95,36.57,26.15,1283.61,29.1 -1999-10-22 00:00:00,24.83,18.49,29.62,81.75,39.93,36.42,26.79,1301.65,29.41 -1999-10-25 00:00:00,24.76,18.62,29.53,81.69,40.12,36.32,26.89,1293.63,28.31 -1999-10-26 00:00:00,24.19,18.76,29.62,83.11,40.14,36.29,26.59,1281.91,27.57 -1999-10-27 00:00:00,23.2,19.09,30.28,80.93,39.76,35.71,26.74,1296.71,27.45 -1999-10-28 00:00:00,22.93,19.47,31.35,82.62,39.64,35.31,27.23,1342.44,27.97 -1999-10-29 00:00:00,24.02,20.03,31.94,85.5,39.93,36.37,27.23,1362.93,28.33 -1999-11-01 00:00:00,24.14,19.41,30.5,84.2,40.04,36.29,26.35,1354.12,28.6 -1999-11-02 00:00:00,24.04,20.06,30.41,82.51,39.07,36.37,26.44,1347.74,28.36 -1999-11-03 00:00:00,23.68,20.38,30.97,82.13,39.74,36.15,26.89,1354.93,27.93 -1999-11-04 00:00:00,23.7,20.91,31.09,79.68,40.14,36.05,25.9,1362.64,27.93 -1999-11-05 00:00:00,24.27,22.08,31.53,78.54,40.21,35.98,26.54,1370.23,27.02 -1999-11-08 00:00:00,23.75,24.09,31.59,81.86,39.81,35.34,26.44,1377.01,28.43 -1999-11-09 00:00:00,23.82,22.41,31.44,81.58,39.5,34.92,25.71,1365.28,28.98 -1999-11-10 00:00:00,23.62,22.86,31.59,84.53,39.26,34.23,25.66,1373.46,29.25 -1999-11-11 00:00:00,24.15,23.06,31.59,82.78,39.57,35.21,25.71,1381.46,29.56 -1999-11-12 00:00:00,24.72,22.66,31.92,83.54,39.65,35.05,26.0,1396.06,29.97 -1999-11-15 00:00:00,25.36,22.36,31.94,81.96,39.56,34.18,25.56,1394.39,30.02 -1999-11-16 00:00:00,25.16,22.8,32.92,82.45,40.56,34.31,26.49,1420.07,30.48 -1999-11-17 00:00:00,24.87,22.56,33.29,81.69,40.37,33.4,26.79,1410.71,30.88 -1999-11-18 00:00:00,24.84,22.41,32.86,85.4,39.89,33.38,27.13,1424.94,31.19 -1999-11-19 00:00:00,25.31,23.11,32.46,90.57,40.2,33.79,27.08,1422.0,30.67 -1999-11-22 00:00:00,25.63,22.66,33.05,94.0,40.25,35.29,28.5,1420.94,30.61 -1999-11-23 00:00:00,25.83,23.2,32.45,92.42,39.77,35.21,28.31,1404.64,30.02 -1999-11-24 00:00:00,25.49,23.67,32.27,91.06,40.03,36.03,27.62,1417.08,30.45 -1999-11-26 00:00:00,25.88,23.76,31.97,91.5,39.44,35.8,27.38,1416.62,30.02 -1999-11-29 00:00:00,25.78,23.64,31.39,90.79,40.15,35.44,27.23,1407.83,30.54 -1999-11-30 00:00:00,25.98,24.47,30.68,89.81,39.65,35.78,27.13,1388.91,30.52 -1999-12-01 00:00:00,26.5,25.76,31.71,90.12,39.17,36.62,27.07,1397.72,31.75 -1999-12-02 00:00:00,27.54,27.55,31.75,91.73,38.25,37.25,28.8,1409.04,31.59 -1999-12-03 00:00:00,28.24,28.75,32.12,97.48,37.17,37.77,29.14,1433.3,31.76 -1999-12-06 00:00:00,28.8,29.0,32.35,101.08,37.0,37.5,28.95,1423.33,32.28 -1999-12-07 00:00:00,28.88,29.45,33.01,101.62,35.68,36.54,29.0,1409.17,32.28 -1999-12-08 00:00:00,28.47,27.51,33.3,103.07,34.86,36.05,29.16,1403.88,32.13 -1999-12-09 00:00:00,29.1,26.31,33.84,98.79,35.64,36.44,28.31,1408.11,33.14 -1999-12-10 00:00:00,30.09,25.75,34.76,94.98,36.07,36.88,29.1,1417.04,31.87 -1999-12-13 00:00:00,30.05,24.75,35.08,95.59,35.62,37.96,27.82,1415.22,31.81 -1999-12-14 00:00:00,29.63,23.72,35.33,95.2,36.0,38.78,27.67,1403.17,31.7 -1999-12-15 00:00:00,31.34,24.25,34.02,93.24,36.18,42.61,27.33,1413.33,31.96 -1999-12-16 00:00:00,30.24,24.58,34.8,95.15,36.16,44.67,26.79,1418.78,32.23 -1999-12-17 00:00:00,30.92,25.0,35.81,95.85,36.26,45.28,27.57,1421.03,31.8 -1999-12-20 00:00:00,30.45,24.5,36.13,95.16,35.15,44.3,27.9,1418.09,31.53 -1999-12-21 00:00:00,30.17,25.62,37.2,95.96,34.78,45.53,27.48,1433.43,31.08 -1999-12-22 00:00:00,30.37,24.99,37.32,94.11,34.99,46.19,27.62,1436.13,31.17 -1999-12-23 00:00:00,31.38,25.88,37.23,94.65,36.52,46.15,27.92,1458.34,32.25 -1999-12-27 00:00:00,30.96,24.83,37.7,95.64,37.36,46.81,28.71,1457.1,31.56 -1999-12-28 00:00:00,31.93,24.55,37.17,95.69,36.48,46.17,28.86,1457.66,31.05 -1999-12-29 00:00:00,32.43,25.17,37.01,94.98,35.33,46.34,28.02,1463.46,31.24 -1999-12-30 00:00:00,31.95,25.08,36.64,94.77,35.73,46.22,27.97,1464.47,30.96 -1999-12-31 00:00:00,32.92,25.7,36.58,94.0,35.64,45.87,27.77,1469.25,31.0 -2000-01-03 00:00:00,32.11,27.99,35.45,101.08,35.23,45.8,29.05,1455.22,30.14 -2000-01-04 00:00:00,32.25,25.62,34.04,97.65,33.94,44.25,28.31,1399.42,29.56 -2000-01-05 00:00:00,34.11,26.0,33.98,101.08,34.3,44.72,27.62,1402.11,31.17 -2000-01-06 00:00:00,33.66,23.75,34.43,99.34,35.38,43.22,28.86,1403.45,32.78 -2000-01-07 00:00:00,33.56,24.88,35.76,98.9,36.88,43.79,29.64,1441.47,32.69 -2000-01-10 00:00:00,33.47,24.44,35.75,102.83,35.95,44.11,29.05,1457.6,32.23 -2000-01-11 00:00:00,33.27,23.19,35.81,103.7,36.07,42.97,28.95,1438.56,32.33 -2000-01-12 00:00:00,32.97,21.8,35.93,104.13,35.73,41.58,28.61,1432.25,32.13 -2000-01-13 00:00:00,32.37,24.19,36.34,103.04,35.68,42.36,28.31,1449.68,32.88 -2000-01-14 00:00:00,31.73,25.11,35.69,104.24,35.81,44.11,28.51,1465.15,32.23 -2000-01-18 00:00:00,30.94,25.99,34.98,100.87,34.9,45.31,28.56,1455.14,32.61 -2000-01-19 00:00:00,30.99,26.64,35.15,104.13,35.02,42.04,28.71,1455.9,32.93 -2000-01-20 00:00:00,29.15,28.38,34.5,103.7,35.14,41.65,28.46,1445.57,32.21 -2000-01-21 00:00:00,29.9,27.83,34.07,105.88,34.35,40.77,28.46,1441.36,32.71 -2000-01-24 00:00:00,29.13,26.56,32.65,105.88,31.99,39.78,27.82,1401.53,32.42 -2000-01-25 00:00:00,28.68,28.06,32.74,103.8,32.58,40.4,27.03,1410.03,32.35 -2000-01-26 00:00:00,28.24,27.55,33.43,101.74,31.91,39.05,26.74,1404.09,32.13 -2000-01-27 00:00:00,27.96,27.5,33.5,98.9,30.77,38.8,26.64,1398.56,31.17 -2000-01-28 00:00:00,27.57,25.41,31.67,97.21,32.29,38.61,26.2,1360.16,30.35 -2000-01-31 00:00:00,27.64,25.94,31.67,97.82,32.89,38.46,26.89,1394.46,31.89 -2000-02-01 00:00:00,28.61,25.06,32.15,95.85,32.41,40.45,26.79,1409.28,32.01 -2000-02-02 00:00:00,29.68,24.7,31.69,98.9,32.63,39.61,26.0,1409.12,32.25 -2000-02-03 00:00:00,28.76,25.83,32.91,102.06,31.84,40.72,26.05,1424.97,31.7 -2000-02-04 00:00:00,28.06,27.0,33.46,100.75,31.39,41.87,25.8,1424.37,31.12 -2000-02-07 00:00:00,27.11,28.51,32.26,99.44,31.13,41.89,25.51,1424.24,31.08 -2000-02-08 00:00:00,26.25,28.72,32.4,103.64,31.36,43.2,26.25,1441.72,30.38 -2000-02-09 00:00:00,25.72,28.16,31.69,102.38,30.57,40.86,26.79,1411.71,29.51 -2000-02-10 00:00:00,26.07,28.38,32.01,103.91,29.81,41.65,27.28,1416.83,29.36 -2000-02-11 00:00:00,26.94,27.19,31.61,100.64,29.7,39.27,27.08,1387.12,28.59 -2000-02-14 00:00:00,28.76,28.95,31.76,101.24,29.77,39.14,26.84,1389.94,29.58 -2000-02-15 00:00:00,29.4,29.75,32.5,102.17,30.57,38.73,26.93,1402.05,30.69 -2000-02-16 00:00:00,29.35,28.53,32.07,100.97,30.61,38.36,26.79,1387.67,30.96 -2000-02-17 00:00:00,30.62,28.72,30.96,101.84,30.37,39.14,27.03,1388.26,30.14 -2000-02-18 00:00:00,29.9,27.81,29.57,98.14,29.7,37.35,26.98,1346.09,29.02 -2000-02-22 00:00:00,28.86,28.45,30.64,96.83,30.16,36.86,27.33,1352.17,29.19 -2000-02-23 00:00:00,28.31,29.06,30.85,94.86,29.2,37.03,26.93,1360.69,28.88 -2000-02-24 00:00:00,27.74,28.8,30.96,96.39,28.29,37.23,26.79,1353.43,28.18 -2000-02-25 00:00:00,27.94,27.59,29.81,94.21,27.62,35.88,25.8,1333.36,27.5 -2000-02-28 00:00:00,28.28,28.31,30.6,91.16,27.9,35.98,26.2,1348.05,28.44 -2000-02-29 00:00:00,27.27,28.66,31.29,89.63,27.62,35.12,25.31,1366.42,29.14 -2000-03-01 00:00:00,27.76,32.58,31.05,87.45,28.14,35.68,25.65,1379.19,29.43 -2000-03-02 00:00:00,26.59,30.5,31.97,89.95,28.26,36.69,24.87,1381.76,29.8 -2000-03-03 00:00:00,27.04,32.0,32.94,94.21,28.19,37.77,24.92,1409.17,29.29 -2000-03-06 00:00:00,26.57,31.42,32.58,89.9,27.04,35.61,24.42,1391.28,28.23 -2000-03-07 00:00:00,25.85,30.72,30.8,89.85,26.27,36.49,24.13,1355.62,30.96 -2000-03-08 00:00:00,26.82,30.5,30.89,92.68,27.23,37.55,24.14,1366.7,30.81 -2000-03-09 00:00:00,26.94,30.56,30.58,94.21,27.88,39.29,24.83,1401.69,31.13 -2000-03-10 00:00:00,26.67,31.44,31.22,91.81,27.18,39.69,24.33,1395.07,29.81 -2000-03-13 00:00:00,27.09,30.33,30.69,93.94,26.85,38.51,24.63,1383.62,29.36 -2000-03-14 00:00:00,24.38,28.56,30.11,94.75,27.9,37.38,24.28,1359.15,29.9 -2000-03-15 00:00:00,25.5,29.06,31.66,93.34,29.51,37.47,26.26,1392.14,30.09 -2000-03-16 00:00:00,27.44,30.39,32.95,95.08,30.61,37.47,26.96,1458.47,30.86 -2000-03-17 00:00:00,25.75,31.25,33.16,95.96,30.52,39.05,26.11,1464.47,29.84 -2000-03-20 00:00:00,26.1,30.75,33.41,98.35,30.42,38.26,26.31,1456.63,28.97 -2000-03-21 00:00:00,27.19,33.74,35.68,99.01,30.78,40.37,27.15,1493.87,29.8 -2000-03-22 00:00:00,26.62,36.05,35.77,99.66,31.55,40.57,26.51,1500.64,29.0 -2000-03-23 00:00:00,27.66,35.33,37.93,100.54,30.69,43.96,26.51,1527.35,29.22 -2000-03-24 00:00:00,28.48,34.67,37.71,105.22,27.71,43.89,26.06,1527.46,29.9 -2000-03-27 00:00:00,28.68,34.89,37.44,110.67,26.75,40.89,25.61,1523.86,29.61 -2000-03-28 00:00:00,28.31,34.78,36.98,106.86,27.62,40.99,25.72,1507.73,30.57 -2000-03-29 00:00:00,28.71,33.99,38.64,103.81,27.26,42.12,26.31,1508.52,31.15 -2000-03-30 00:00:00,28.61,31.44,37.63,107.08,27.14,40.62,28.44,1487.92,30.43 -2000-03-31 00:00:00,27.96,33.95,36.89,103.26,26.95,41.75,27.6,1498.58,30.19 -2000-04-03 00:00:00,28.56,33.33,38.17,106.42,27.71,35.71,28.59,1505.97,31.15 -2000-04-04 00:00:00,28.14,31.83,36.51,105.72,29.44,34.8,28.83,1494.73,31.93 -2000-04-05 00:00:00,27.54,32.6,36.34,109.04,29.73,33.94,29.08,1487.37,30.86 -2000-04-06 00:00:00,28.24,31.3,37.19,107.08,28.72,33.79,29.13,1501.34,31.64 -2000-04-07 00:00:00,27.04,32.94,37.65,107.4,28.41,34.99,28.49,1516.35,30.79 -2000-04-10 00:00:00,26.94,31.25,37.8,106.53,29.15,33.82,28.69,1504.46,30.28 -2000-04-11 00:00:00,28.01,29.86,38.32,104.13,30.01,32.95,29.33,1500.59,30.72 -2000-04-12 00:00:00,27.99,27.31,37.16,99.23,29.53,31.19,29.48,1467.17,30.94 -2000-04-13 00:00:00,27.79,28.45,35.68,96.5,29.25,31.14,28.83,1440.51,30.96 -2000-04-14 00:00:00,26.89,27.97,34.55,91.59,28.12,29.12,28.83,1356.56,30.48 -2000-04-17 00:00:00,25.72,30.97,36.03,97.59,29.73,29.81,28.98,1401.44,29.22 -2000-04-18 00:00:00,24.93,31.72,37.1,97.26,31.26,31.65,28.44,1441.61,29.48 -2000-04-19 00:00:00,25.03,30.28,36.86,91.59,31.55,30.92,27.94,1427.47,29.97 -2000-04-20 00:00:00,25.9,29.72,37.57,90.72,31.31,31.02,29.43,1434.54,30.57 -2000-04-24 00:00:00,25.82,30.12,38.42,92.9,32.17,26.18,29.97,1429.86,30.91 -2000-04-25 00:00:00,27.27,32.08,39.35,98.14,32.34,27.26,29.63,1477.44,31.35 -2000-04-26 00:00:00,26.12,30.33,38.7,96.39,31.74,26.72,29.87,1460.99,31.01 -2000-04-27 00:00:00,25.97,31.69,38.29,96.5,31.84,27.43,29.63,1464.92,31.23 -2000-04-28 00:00:00,25.82,31.01,37.28,97.26,31.64,27.41,29.03,1452.43,30.07 -2000-05-01 00:00:00,25.25,31.08,37.78,97.7,31.72,28.86,29.28,1468.25,30.19 -2000-05-02 00:00:00,25.72,29.47,38.18,97.15,32.29,27.45,29.68,1446.29,30.28 -2000-05-03 00:00:00,25.43,28.76,37.0,94.32,31.93,27.72,29.72,1415.1,29.99 -2000-05-04 00:00:00,25.82,27.67,36.51,93.88,31.86,27.68,29.03,1409.57,30.77 -2000-05-05 00:00:00,26.62,28.28,37.46,94.1,32.22,27.94,29.68,1432.63,30.96 -2000-05-08 00:00:00,26.42,27.53,37.29,95.85,33.66,27.43,30.02,1424.17,31.13 -2000-05-09 00:00:00,26.42,26.36,37.07,95.2,33.37,26.64,29.82,1412.14,30.74 -2000-05-10 00:00:00,26.05,24.83,36.01,89.96,32.79,26.01,31.01,1383.05,31.54 -2000-05-11 00:00:00,26.02,25.7,36.23,91.22,33.01,26.67,31.65,1407.81,32.27 -2000-05-12 00:00:00,26.06,26.91,37.16,91.22,32.79,27.04,31.26,1420.96,31.92 -2000-05-15 00:00:00,27.12,25.25,38.4,91.0,33.08,27.26,31.16,1452.36,32.54 -2000-05-16 00:00:00,26.75,26.42,38.58,95.2,33.49,27.31,30.96,1466.04,32.39 -2000-05-17 00:00:00,26.12,25.34,38.14,94.21,33.39,26.6,30.86,1447.8,31.66 -2000-05-18 00:00:00,26.22,25.19,37.79,92.63,33.95,26.01,31.27,1437.21,31.69 -2000-05-19 00:00:00,25.97,23.5,36.9,92.96,34.16,25.56,31.06,1406.95,31.81 -2000-05-22 00:00:00,25.45,22.49,35.56,95.42,33.44,25.22,31.46,1400.72,32.42 -2000-05-23 00:00:00,24.75,21.45,35.56,93.77,33.49,24.83,31.21,1373.86,32.29 -2000-05-24 00:00:00,24.67,21.92,36.09,95.74,34.62,25.76,32.25,1399.05,32.27 -2000-05-25 00:00:00,24.05,21.82,36.09,93.01,34.38,24.16,31.6,1381.52,31.69 -2000-05-26 00:00:00,22.9,21.59,35.25,93.4,33.92,24.14,32.45,1378.02,32.05 -2000-05-30 00:00:00,23.2,21.89,36.45,96.89,34.24,24.9,32.45,1422.45,32.49 -2000-05-31 00:00:00,23.35,21.0,37.43,93.72,34.45,24.58,32.2,1420.6,32.42 -2000-06-01 00:00:00,23.05,22.28,37.25,92.58,33.76,25.37,31.7,1448.81,32.27 -2000-06-02 00:00:00,24.77,23.14,37.52,95.03,32.34,26.05,31.9,1477.26,30.81 -2000-06-05 00:00:00,24.4,22.83,36.67,98.53,32.34,26.27,31.26,1467.63,30.86 -2000-06-06 00:00:00,24.53,23.22,36.41,98.14,32.38,27.36,32.45,1457.84,32.03 -2000-06-07 00:00:00,24.07,24.14,36.54,105.68,32.22,27.7,32.8,1471.36,31.56 -2000-06-08 00:00:00,23.7,23.7,36.19,104.59,32.67,27.04,33.7,1461.67,31.15 -2000-06-09 00:00:00,23.18,23.94,35.47,104.53,33.15,27.04,32.75,1456.95,30.81 -2000-06-12 00:00:00,23.07,22.8,35.47,103.79,32.64,26.27,33.33,1446.0,31.42 -2000-06-13 00:00:00,22.53,23.62,36.41,104.2,33.88,26.67,34.0,1469.44,31.59 -2000-06-14 00:00:00,23.93,22.61,36.27,101.31,34.55,27.7,34.54,1470.54,32.15 -2000-06-15 00:00:00,24.47,23.09,36.9,102.02,34.88,28.44,34.44,1478.73,32.08 -2000-06-16 00:00:00,24.82,22.8,36.36,98.91,34.48,28.51,34.74,1464.46,32.83 -2000-06-19 00:00:00,24.02,24.16,35.74,105.13,34.72,28.95,34.69,1486.0,32.71 -2000-06-20 00:00:00,24.02,25.31,36.27,101.63,34.09,29.45,32.66,1475.95,32.39 -2000-06-21 00:00:00,22.94,27.82,35.16,100.0,34.6,31.71,33.55,1479.13,32.66 -2000-06-22 00:00:00,23.27,26.88,34.67,97.65,34.09,31.38,33.3,1452.18,32.17 -2000-06-23 00:00:00,24.17,25.84,35.47,97.7,34.55,30.53,33.4,1441.48,32.34 -2000-06-26 00:00:00,23.07,27.07,35.52,99.92,36.76,31.24,34.59,1455.31,32.43 -2000-06-27 00:00:00,23.93,25.88,35.03,95.85,37.7,30.97,34.49,1450.55,31.93 -2000-06-28 00:00:00,23.7,27.22,35.95,99.37,37.76,31.02,34.47,1454.82,31.95 -2000-06-29 00:00:00,23.18,25.62,35.38,99.56,37.94,30.33,33.95,1442.39,31.59 -2000-06-30 00:00:00,23.18,26.19,37.69,95.69,39.22,31.43,35.29,1454.6,30.54 -2000-07-03 00:00:00,23.77,26.66,36.98,95.63,38.9,31.43,34.14,1469.54,30.95 -2000-07-05 00:00:00,23.58,25.82,35.61,91.7,38.88,30.84,34.44,1446.23,29.94 -2000-07-06 00:00:00,23.13,25.91,35.79,88.43,38.38,31.8,34.84,1456.67,30.42 -2000-07-07 00:00:00,22.07,27.22,36.59,91.76,38.4,32.22,33.7,1478.9,30.55 -2000-07-10 00:00:00,23.97,28.57,37.39,90.23,38.57,31.21,32.51,1475.62,30.4 -2000-07-11 00:00:00,25.97,28.47,37.26,89.08,38.57,31.09,32.26,1480.88,31.35 -2000-07-12 00:00:00,25.68,29.44,38.33,91.37,37.75,31.56,31.56,1492.92,30.59 -2000-07-13 00:00:00,26.02,28.25,37.44,90.83,36.67,31.41,32.06,1495.84,30.35 -2000-07-14 00:00:00,26.32,28.84,36.72,90.78,35.34,31.02,33.1,1509.98,30.18 -2000-07-17 00:00:00,24.57,29.16,38.28,92.14,36.32,30.72,34.05,1510.49,30.64 -2000-07-18 00:00:00,24.22,28.62,37.26,90.23,36.57,30.84,34.14,1493.74,30.42 -2000-07-19 00:00:00,24.47,26.34,37.61,94.98,35.87,28.73,34.44,1481.96,30.62 -2000-07-20 00:00:00,24.37,27.57,38.73,102.4,35.37,29.39,34.74,1495.57,30.4 -2000-07-21 00:00:00,25.37,26.78,38.6,100.22,35.51,28.41,35.14,1480.19,30.01 -2000-07-24 00:00:00,25.33,24.34,38.51,98.25,36.36,27.72,34.64,1464.29,30.06 -2000-07-25 00:00:00,25.02,25.03,38.19,97.82,35.99,27.11,35.04,1474.47,29.33 -2000-07-26 00:00:00,24.47,25.03,37.17,95.96,34.74,26.64,34.79,1452.42,29.65 -2000-07-27 00:00:00,25.17,26.0,37.44,96.34,35.36,27.26,35.19,1449.62,31.32 -2000-07-28 00:00:00,24.77,24.16,36.32,97.65,36.05,27.38,35.53,1419.89,31.13 -2000-07-31 00:00:00,24.17,25.41,36.86,98.04,35.82,27.43,36.38,1430.83,31.2 -2000-08-01 00:00:00,24.82,24.66,37.61,96.51,36.5,26.99,36.43,1438.1,31.13 -2000-08-02 00:00:00,25.52,23.62,37.08,99.78,37.15,27.26,36.23,1438.7,32.24 -2000-08-03 00:00:00,25.07,24.0,37.71,101.31,37.34,27.6,35.83,1452.56,31.69 -2000-08-04 00:00:00,25.03,23.69,38.06,101.2,37.17,27.16,35.78,1462.93,31.79 -2000-08-07 00:00:00,25.98,23.97,37.53,101.58,37.29,27.5,35.43,1479.32,31.47 -2000-08-08 00:00:00,27.79,23.38,38.33,103.93,37.21,29.12,35.29,1482.8,31.44 -2000-08-09 00:00:00,26.88,23.75,39.89,103.83,36.5,29.17,34.94,1472.87,31.54 -2000-08-10 00:00:00,26.93,23.78,40.64,104.7,37.5,28.53,35.78,1460.25,31.69 -2000-08-11 00:00:00,26.73,23.84,40.33,105.46,37.66,28.46,36.38,1471.84,31.83 -2000-08-14 00:00:00,27.39,23.53,40.64,107.76,37.46,28.37,37.32,1491.56,32.3 -2000-08-15 00:00:00,27.48,23.34,40.82,106.67,36.99,28.14,36.48,1484.43,31.81 -2000-08-16 00:00:00,27.63,24.25,40.51,106.99,37.66,27.9,34.94,1479.85,32.38 -2000-08-17 00:00:00,27.73,25.72,40.42,107.11,37.34,28.12,34.53,1496.07,32.79 -2000-08-18 00:00:00,27.48,25.0,40.07,105.31,37.24,27.9,34.84,1491.72,32.44 -2000-08-21 00:00:00,26.53,25.25,40.33,106.18,37.46,27.75,35.19,1499.48,32.67 -2000-08-22 00:00:00,26.28,25.84,40.11,106.12,37.75,28.0,34.34,1498.13,32.52 -2000-08-23 00:00:00,26.83,27.16,41.32,107.76,37.44,27.8,34.42,1505.97,33.06 -2000-08-24 00:00:00,26.63,28.06,42.03,109.13,37.17,27.94,34.54,1508.31,32.45 -2000-08-25 00:00:00,26.78,28.41,42.25,112.79,36.86,27.75,33.95,1506.45,32.45 -2000-08-28 00:00:00,27.33,29.03,42.78,114.98,36.6,28.02,34.39,1514.09,32.4 -2000-08-29 00:00:00,26.18,29.59,42.7,116.18,35.92,27.87,33.75,1509.84,32.28 -2000-08-30 00:00:00,26.23,29.75,41.0,113.94,35.24,27.5,33.3,1502.59,31.83 -2000-08-31 00:00:00,26.7,30.47,41.81,115.43,35.51,27.43,33.86,1517.68,31.94 -2000-09-01 00:00:00,26.63,31.72,41.71,116.84,35.77,27.58,33.6,1520.77,32.28 -2000-09-05 00:00:00,27.13,31.22,41.22,114.71,36.02,27.55,33.95,1507.08,32.62 -2000-09-06 00:00:00,27.03,29.22,42.07,114.92,36.02,27.28,33.41,1492.25,32.47 -2000-09-07 00:00:00,26.28,31.0,42.07,116.62,36.09,27.53,34.41,1502.51,32.76 -2000-09-08 00:00:00,26.68,29.44,42.7,113.23,36.49,27.23,33.91,1494.5,32.67 -2000-09-11 00:00:00,25.81,29.22,42.56,108.86,36.7,27.04,34.06,1489.26,33.25 -2000-09-12 00:00:00,24.27,28.88,42.11,109.29,37.32,26.77,34.95,1481.99,33.55 -2000-09-13 00:00:00,24.42,29.0,42.11,111.65,37.7,26.82,35.6,1484.91,33.57 -2000-09-14 00:00:00,23.72,28.43,42.07,110.93,37.05,25.86,35.15,1480.87,33.36 -2000-09-15 00:00:00,22.94,27.61,40.47,109.29,36.69,25.22,34.85,1465.81,34.43 -2000-09-18 00:00:00,21.66,30.33,41.0,107.76,35.58,24.75,35.05,1444.51,35.07 -2000-09-19 00:00:00,20.71,29.97,40.64,109.24,35.46,25.54,34.97,1459.9,34.43 -2000-09-20 00:00:00,20.21,30.52,40.38,109.08,35.18,25.25,33.16,1451.34,33.84 -2000-09-21 00:00:00,19.46,28.34,40.11,106.23,36.4,25.22,34.56,1449.05,33.77 -2000-09-22 00:00:00,20.06,26.09,40.87,108.31,37.03,24.85,36.15,1448.72,33.84 -2000-09-25 00:00:00,19.06,26.75,41.4,107.55,37.02,24.07,35.7,1439.03,33.59 -2000-09-26 00:00:00,19.15,25.72,41.36,104.15,36.5,24.63,35.4,1427.21,33.89 -2000-09-27 00:00:00,18.86,24.47,42.38,103.17,36.73,23.82,36.25,1426.57,34.92 -2000-09-28 00:00:00,19.55,26.75,42.07,100.77,36.06,24.09,36.05,1458.29,34.87 -2000-09-29 00:00:00,20.31,12.88,41.32,98.47,36.28,23.7,36.65,1436.51,34.86 -2000-10-02 00:00:00,19.66,12.12,41.81,103.01,35.99,23.23,37.74,1436.23,35.77 -2000-10-03 00:00:00,21.62,11.15,42.21,96.67,35.73,22.22,36.65,1426.46,35.53 -2000-10-04 00:00:00,21.87,11.81,42.08,100.0,34.88,21.78,35.95,1434.32,34.92 -2000-10-05 00:00:00,21.76,11.03,42.7,98.97,35.94,21.76,36.5,1436.28,34.89 -2000-10-06 00:00:00,22.11,11.1,42.48,101.42,35.65,21.83,36.95,1408.99,34.99 -2000-10-09 00:00:00,22.96,10.88,41.81,103.12,35.27,21.29,37.49,1402.03,35.65 -2000-10-10 00:00:00,23.77,10.44,41.5,100.44,36.55,21.44,37.74,1387.02,36.5 -2000-10-11 00:00:00,21.82,9.81,40.47,97.93,37.08,21.91,37.29,1364.59,36.68 -2000-10-12 00:00:00,20.81,10.0,38.95,90.16,37.46,21.37,38.14,1329.78,36.82 -2000-10-13 00:00:00,20.71,11.03,40.74,95.36,37.0,21.12,36.25,1374.17,35.41 -2000-10-16 00:00:00,20.26,10.75,41.28,97.16,37.44,19.8,37.14,1374.62,34.35 -2000-10-17 00:00:00,20.86,10.06,39.76,98.8,37.49,19.82,37.54,1349.97,34.35 -2000-10-18 00:00:00,19.81,10.06,39.67,83.45,36.4,20.33,38.19,1342.13,33.86 -2000-10-19 00:00:00,19.51,9.47,39.76,84.32,35.44,24.31,38.09,1388.76,33.84 -2000-10-20 00:00:00,18.9,9.75,37.26,82.84,35.48,25.61,37.09,1396.93,34.6 -2000-10-23 00:00:00,19.26,10.19,35.56,81.2,35.36,24.41,37.24,1395.78,34.84 -2000-10-24 00:00:00,20.01,9.44,38.15,79.95,35.41,24.16,36.75,1398.13,33.94 -2000-10-25 00:00:00,20.01,9.25,37.84,76.56,36.28,24.07,38.64,1364.9,34.11 -2000-10-26 00:00:00,19.86,9.25,37.26,81.1,35.97,25.32,37.44,1364.44,34.33 -2000-10-27 00:00:00,20.06,9.28,37.34,81.92,35.82,26.6,38.34,1379.58,34.25 -2000-10-30 00:00:00,22.67,9.65,38.6,81.59,36.45,27.14,39.14,1398.66,34.99 -2000-10-31 00:00:00,23.02,9.78,39.17,86.12,35.58,27.06,38.59,1429.4,34.89 -2000-11-01 00:00:00,23.42,10.25,38.91,86.18,35.15,27.36,38.24,1421.22,36.02 -2000-11-02 00:00:00,22.36,11.15,38.37,89.13,34.71,27.63,37.49,1428.32,34.5 -2000-11-03 00:00:00,22.26,11.12,38.1,87.54,35.41,26.82,36.5,1426.69,34.23 -2000-11-06 00:00:00,23.22,10.72,38.95,87.71,35.56,27.31,37.84,1432.19,34.7 -2000-11-07 00:00:00,23.37,10.65,39.27,89.45,35.58,27.7,37.54,1431.87,34.82 -2000-11-08 00:00:00,23.32,10.03,39.0,87.55,36.09,27.28,37.74,1409.28,35.48 -2000-11-09 00:00:00,23.02,10.1,39.0,87.06,36.14,27.85,39.04,1400.14,35.33 -2000-11-10 00:00:00,22.92,9.53,38.51,81.42,36.48,26.47,38.89,1365.98,35.21 -2000-11-13 00:00:00,22.72,9.69,36.77,85.31,35.94,26.11,38.39,1351.26,35.36 -2000-11-14 00:00:00,23.27,10.12,37.7,87.11,36.55,27.04,38.09,1382.95,35.33 -2000-11-15 00:00:00,23.57,9.94,37.52,86.99,36.69,27.53,37.09,1389.81,35.53 -2000-11-16 00:00:00,22.52,9.5,37.62,86.01,36.38,27.09,35.3,1372.32,35.65 -2000-11-17 00:00:00,21.76,9.25,37.08,89.24,36.86,27.14,35.0,1367.72,35.5 -2000-11-20 00:00:00,21.11,9.47,35.78,90.39,37.28,26.4,35.85,1342.62,35.92 -2000-11-21 00:00:00,21.15,9.4,36.27,86.23,37.88,26.62,37.04,1347.35,36.61 -2000-11-22 00:00:00,21.05,9.25,34.71,86.23,37.4,26.82,35.65,1322.36,37.05 -2000-11-24 00:00:00,21.05,9.65,35.29,87.49,36.84,27.48,35.45,1341.77,37.13 -2000-11-27 00:00:00,21.65,9.35,35.11,86.18,37.74,27.78,35.35,1348.97,36.61 -2000-11-28 00:00:00,22.41,9.02,35.6,85.68,38.8,26.33,35.95,1336.09,36.58 -2000-11-29 00:00:00,22.46,8.78,35.51,87.38,38.85,25.56,36.15,1341.93,34.96 -2000-11-30 00:00:00,22.72,8.25,35.42,81.86,38.75,22.55,36.15,1314.95,34.59 -2000-12-01 00:00:00,23.37,8.53,36.45,83.71,37.88,22.25,33.76,1315.23,34.91 -2000-12-04 00:00:00,24.98,8.35,36.9,86.12,38.58,22.18,34.9,1324.97,35.65 -2000-12-05 00:00:00,25.39,8.5,38.69,90.5,38.56,23.53,35.2,1376.54,34.74 -2000-12-06 00:00:00,25.23,7.16,38.55,84.7,37.25,22.27,36.21,1351.46,33.91 -2000-12-07 00:00:00,23.52,7.16,38.24,81.52,37.62,20.88,37.51,1343.55,34.59 -2000-12-08 00:00:00,24.63,7.53,39.45,84.92,37.35,21.39,37.91,1369.89,34.79 -2000-12-11 00:00:00,25.94,7.59,39.53,83.17,37.06,22.81,37.61,1380.2,33.71 -2000-12-12 00:00:00,25.48,7.69,37.74,82.18,37.59,22.94,37.86,1371.18,34.03 -2000-12-13 00:00:00,26.34,7.5,37.88,79.89,38.25,22.5,38.71,1359.99,34.47 -2000-12-14 00:00:00,25.59,7.22,36.77,80.93,38.46,21.81,39.76,1340.93,33.61 -2000-12-15 00:00:00,24.93,7.03,35.6,76.87,38.2,19.33,39.01,1312.15,33.07 -2000-12-18 00:00:00,26.04,7.12,36.45,79.23,38.2,18.79,39.41,1322.74,33.95 -2000-12-19 00:00:00,27.0,7.0,35.83,78.9,38.44,17.61,39.31,1305.6,34.28 -2000-12-20 00:00:00,25.34,7.19,33.91,75.29,38.99,16.31,39.06,1264.74,33.49 -2000-12-21 00:00:00,25.59,7.03,34.22,71.4,39.14,17.07,38.96,1274.86,33.32 -2000-12-22 00:00:00,28.05,7.5,34.94,77.92,39.34,18.25,38.86,1305.95,34.13 -2000-12-26 00:00:00,27.85,7.34,35.24,74.25,39.67,18.42,39.06,1315.19,34.82 -2000-12-27 00:00:00,27.55,7.41,34.55,74.14,39.92,18.25,39.06,1328.92,34.5 -2000-12-28 00:00:00,27.91,7.41,34.73,74.63,40.6,17.51,38.96,1334.22,34.15 -2000-12-29 00:00:00,27.0,7.44,34.38,74.41,40.72,17.05,39.61,1320.28,34.18 -2001-01-02 00:00:00,25.99,7.44,31.37,74.25,39.53,17.05,39.46,1283.27,35.04 -2001-01-03 00:00:00,26.34,8.19,34.28,82.84,38.27,18.84,37.16,1347.56,33.51 -2001-01-04 00:00:00,27.2,8.53,34.46,81.58,37.44,19.03,35.46,1333.34,32.58 -2001-01-05 00:00:00,26.7,8.19,33.92,82.29,37.93,19.3,36.21,1298.35,32.73 -2001-01-08 00:00:00,27.1,8.28,32.67,81.91,37.88,19.23,36.81,1295.86,32.58 -2001-01-09 00:00:00,26.09,8.6,32.0,81.03,38.15,20.36,37.36,1300.8,32.24 -2001-01-10 00:00:00,26.39,8.28,32.05,81.8,37.15,20.78,36.76,1313.27,31.84 -2001-01-11 00:00:00,25.39,9.0,33.39,82.02,35.82,21.61,36.81,1326.82,32.14 -2001-01-12 00:00:00,25.64,8.6,32.76,82.13,36.65,21.02,36.51,1318.55,32.55 -2001-01-16 00:00:00,27.05,8.56,33.97,81.2,36.5,20.65,36.71,1326.65,32.16 -2001-01-17 00:00:00,27.05,8.4,33.48,84.65,35.53,20.8,36.26,1329.47,31.55 -2001-01-18 00:00:00,27.76,9.35,34.15,94.82,36.43,21.81,35.96,1347.97,31.1 -2001-01-19 00:00:00,26.34,9.75,33.7,97.4,36.48,23.97,35.01,1342.54,31.23 -2001-01-22 00:00:00,27.05,9.62,32.81,95.04,36.55,23.63,35.01,1342.9,31.55 -2001-01-23 00:00:00,27.35,10.25,33.48,95.48,35.92,23.8,34.52,1360.4,32.16 -2001-01-24 00:00:00,27.85,10.25,33.21,96.69,35.1,24.73,34.17,1364.3,32.09 -2001-01-25 00:00:00,28.56,9.97,32.94,96.96,35.56,24.29,34.96,1357.51,32.43 -2001-01-26 00:00:00,27.85,9.78,32.0,99.97,35.63,25.15,35.21,1354.95,31.84 -2001-01-29 00:00:00,27.42,10.85,31.82,100.66,35.5,25.34,34.88,1364.17,31.53 -2001-01-30 00:00:00,28.54,10.88,33.16,102.09,35.5,24.9,35.58,1373.73,32.23 -2001-01-31 00:00:00,29.73,10.81,32.97,98.05,36.09,23.99,35.22,1366.01,33.08 -2001-02-01 00:00:00,30.75,10.56,33.15,99.85,36.38,24.51,34.9,1373.47,32.82 -2001-02-02 00:00:00,30.39,10.31,33.19,96.54,36.86,23.89,35.96,1349.47,32.63 -2001-02-05 00:00:00,29.85,10.1,34.31,98.24,36.4,24.34,35.94,1354.31,33.34 -2001-02-06 00:00:00,30.14,10.56,34.13,99.97,36.2,24.58,36.17,1352.26,33.16 -2001-02-07 00:00:00,29.78,10.38,33.67,102.47,36.78,25.42,37.55,1340.89,33.34 -2001-02-08 00:00:00,29.95,10.38,33.8,100.0,36.67,24.46,37.44,1332.53,33.39 -2001-02-09 00:00:00,30.03,9.56,32.74,98.16,36.81,23.23,36.92,1314.76,33.93 -2001-02-12 00:00:00,29.53,9.85,34.07,100.71,38.02,23.08,37.52,1330.31,33.89 -2001-02-13 00:00:00,28.89,9.56,33.82,99.7,37.55,22.86,37.68,1318.8,33.51 -2001-02-14 00:00:00,28.72,9.75,33.17,100.88,37.07,22.94,37.32,1315.92,33.17 -2001-02-15 00:00:00,29.44,10.03,34.4,102.35,36.63,23.11,37.44,1326.61,32.6 -2001-02-16 00:00:00,28.33,9.5,33.7,100.79,36.76,22.52,37.82,1301.53,33.2 -2001-02-20 00:00:00,28.49,9.15,34.2,97.73,37.34,21.96,38.76,1278.94,33.12 -2001-02-21 00:00:00,27.78,9.44,33.92,94.23,37.68,22.1,37.76,1255.27,33.01 -2001-02-22 00:00:00,28.61,9.4,33.77,95.45,37.53,21.69,37.2,1252.82,33.28 -2001-02-23 00:00:00,28.08,9.4,33.11,91.15,37.13,22.3,37.07,1245.86,33.0 -2001-02-26 00:00:00,29.14,9.75,34.4,92.29,37.23,23.4,36.99,1267.65,33.12 -2001-02-27 00:00:00,29.34,9.69,34.42,89.92,37.31,23.33,36.81,1257.94,32.52 -2001-02-28 00:00:00,28.94,9.12,33.34,87.56,37.85,23.18,36.83,1239.94,32.03 -2001-03-01 00:00:00,29.52,9.38,32.92,92.95,38.53,23.32,36.61,1241.23,32.17 -2001-03-02 00:00:00,29.95,9.62,31.96,89.66,38.55,22.27,35.84,1234.18,32.88 -2001-03-05 00:00:00,30.82,10.19,32.44,91.95,38.29,22.57,36.46,1241.41,33.14 -2001-03-06 00:00:00,30.75,10.75,32.69,92.9,37.64,23.36,36.61,1253.8,33.04 -2001-03-07 00:00:00,31.8,10.62,33.09,94.26,36.86,23.85,36.89,1261.89,33.28 -2001-03-08 00:00:00,31.56,10.4,33.01,93.32,38.06,23.28,37.6,1264.74,33.93 -2001-03-09 00:00:00,29.95,10.12,31.53,87.02,37.6,22.27,37.2,1233.42,33.98 -2001-03-12 00:00:00,29.13,9.31,28.5,83.69,36.92,20.41,36.51,1180.16,33.1 -2001-03-13 00:00:00,29.99,9.78,30.46,86.24,36.61,21.29,35.95,1197.66,32.92 -2001-03-14 00:00:00,28.77,10.22,29.53,83.23,36.26,21.22,35.49,1166.71,32.66 -2001-03-15 00:00:00,28.95,9.85,29.56,83.75,36.3,21.1,35.3,1173.56,32.78 -2001-03-16 00:00:00,28.32,9.81,29.22,78.97,35.77,21.44,34.46,1150.53,32.29 -2001-03-19 00:00:00,29.08,10.28,29.58,81.16,35.75,21.34,34.21,1170.81,32.11 -2001-03-20 00:00:00,29.36,9.85,28.82,77.39,35.31,20.7,33.36,1142.62,31.88 -2001-03-21 00:00:00,28.04,10.06,28.07,78.08,33.92,19.67,33.68,1122.14,31.54 -2001-03-22 00:00:00,26.98,10.81,27.13,78.09,34.14,21.22,34.15,1117.58,30.71 -2001-03-23 00:00:00,27.21,11.5,28.78,81.96,34.3,22.22,35.15,1139.83,30.39 -2001-03-26 00:00:00,27.52,10.89,28.95,83.61,33.2,22.03,35.11,1152.69,30.92 -2001-03-27 00:00:00,28.98,11.44,30.16,87.21,32.37,22.89,35.3,1182.17,31.87 -2001-03-28 00:00:00,28.37,11.09,29.9,82.75,33.55,21.83,34.53,1153.29,31.08 -2001-03-29 00:00:00,28.37,11.27,29.79,83.3,34.37,21.76,34.67,1147.95,30.94 -2001-03-30 00:00:00,29.1,11.03,30.12,84.3,34.01,21.49,35.23,1160.33,32.01 -2001-04-02 00:00:00,28.58,10.8,30.08,82.97,33.95,21.93,35.31,1145.87,31.46 -2001-04-03 00:00:00,27.88,10.12,28.56,79.22,33.48,20.97,34.53,1106.46,30.78 -2001-04-04 00:00:00,28.77,9.75,28.5,80.63,33.79,20.41,35.19,1103.25,31.1 -2001-04-05 00:00:00,30.35,10.44,30.3,86.08,34.56,22.3,35.35,1151.44,31.98 -2001-04-06 00:00:00,29.46,10.3,29.63,85.85,35.15,22.08,33.67,1128.43,32.44 -2001-04-09 00:00:00,30.35,10.27,30.22,84.14,35.48,22.46,33.27,1137.59,32.61 -2001-04-10 00:00:00,31.77,11.02,31.54,86.81,35.79,23.45,33.79,1168.38,33.2 -2001-04-11 00:00:00,31.57,10.9,31.14,85.39,35.32,23.59,33.18,1165.89,32.38 -2001-04-12 00:00:00,31.56,11.21,32.17,84.32,35.37,24.43,33.6,1183.5,32.41 -2001-04-16 00:00:00,31.56,10.72,32.13,84.8,36.01,23.89,33.83,1179.68,33.41 -2001-04-17 00:00:00,30.9,10.2,32.71,87.38,36.73,24.16,33.89,1191.81,33.48 -2001-04-18 00:00:00,32.05,11.4,34.46,93.34,36.53,25.71,33.72,1238.16,33.64 -2001-04-19 00:00:00,31.92,12.86,34.91,100.33,36.1,26.73,34.05,1253.69,33.37 -2001-04-20 00:00:00,32.66,12.52,34.61,100.64,35.82,27.11,33.08,1242.98,33.66 -2001-04-23 00:00:00,32.71,12.12,33.97,98.16,35.74,26.82,33.89,1224.36,34.78 -2001-04-24 00:00:00,32.34,12.02,33.1,98.75,35.97,26.54,34.59,1209.47,34.57 -2001-04-25 00:00:00,32.77,12.36,34.41,100.66,36.55,27.38,35.33,1228.75,35.21 -2001-04-26 00:00:00,34.06,12.35,35.48,99.69,37.15,27.16,35.99,1234.52,35.11 -2001-04-27 00:00:00,33.98,13.1,35.95,101.84,37.09,26.37,35.35,1253.05,35.2 -2001-04-30 00:00:00,33.51,12.74,34.92,100.92,37.52,26.62,35.01,1249.46,35.01 -2001-05-01 00:00:00,33.59,12.97,35.2,103.87,37.64,27.57,35.79,1266.44,35.09 -2001-05-02 00:00:00,33.57,13.3,35.33,101.14,37.91,27.41,35.52,1267.43,34.18 -2001-05-03 00:00:00,33.21,12.48,34.9,99.65,37.62,26.93,35.46,1248.58,34.03 -2001-05-04 00:00:00,34.03,12.88,35.93,101.55,38.01,27.8,35.82,1266.61,34.6 -2001-05-07 00:00:00,33.3,12.48,35.95,101.58,38.15,28.05,35.91,1263.51,34.85 -2001-05-08 00:00:00,32.77,12.28,35.61,103.28,38.09,28.31,36.07,1261.2,35.07 -2001-05-09 00:00:00,33.61,11.99,35.57,102.65,38.2,27.66,36.51,1255.54,35.46 -2001-05-10 00:00:00,34.04,11.5,35.86,101.09,37.81,27.5,37.25,1255.18,34.99 -2001-05-11 00:00:00,32.71,11.43,35.27,98.12,37.82,27.27,37.01,1245.67,34.8 -2001-05-14 00:00:00,33.55,11.65,35.79,98.77,38.03,27.0,37.0,1248.92,35.37 -2001-05-15 00:00:00,34.11,11.59,36.09,99.67,37.75,26.83,36.07,1249.44,35.52 -2001-05-16 00:00:00,36.15,12.05,37.57,101.62,38.8,27.17,36.28,1284.99,35.54 -2001-05-17 00:00:00,36.36,11.77,37.5,100.98,39.15,26.79,36.02,1288.49,35.24 -2001-05-18 00:00:00,36.51,11.77,38.13,103.06,39.41,26.75,36.06,1291.96,35.82 -2001-05-21 00:00:00,36.84,11.78,38.43,104.46,39.27,27.03,36.02,1312.83,35.25 -2001-05-22 00:00:00,35.41,11.75,37.91,103.56,38.63,27.63,35.26,1309.38,35.27 -2001-05-23 00:00:00,35.4,11.61,36.95,103.02,38.14,27.39,35.87,1289.05,34.66 -2001-05-24 00:00:00,34.53,11.6,36.99,104.95,38.03,28.18,36.05,1293.17,34.92 -2001-05-25 00:00:00,35.06,11.38,35.95,103.37,37.95,27.86,35.92,1277.89,34.99 -2001-05-29 00:00:00,35.3,10.73,35.74,101.15,38.03,27.64,36.01,1267.93,34.87 -2001-05-30 00:00:00,34.41,9.89,35.28,98.85,37.89,27.19,36.55,1248.08,35.29 -2001-05-31 00:00:00,35.05,9.98,35.26,98.11,37.83,27.18,35.88,1255.82,35.25 -2001-06-01 00:00:00,35.35,10.44,35.26,99.06,38.24,27.64,35.92,1260.67,35.33 -2001-06-04 00:00:00,35.54,10.33,35.59,99.72,39.08,27.81,36.01,1267.11,36.07 -2001-06-05 00:00:00,36.42,10.47,35.39,102.64,39.88,28.53,36.56,1283.57,36.36 -2001-06-06 00:00:00,35.73,10.36,35.08,103.11,40.23,28.43,35.87,1270.03,35.5 -2001-06-07 00:00:00,35.36,10.83,35.2,102.89,40.22,28.95,35.63,1276.96,35.42 -2001-06-08 00:00:00,34.95,10.66,34.64,101.88,39.81,28.76,35.79,1264.96,35.5 -2001-06-11 00:00:00,34.23,10.02,34.11,102.99,39.56,28.34,35.4,1254.39,35.62 -2001-06-12 00:00:00,32.9,10.15,35.1,102.89,39.73,28.32,35.56,1255.85,35.79 -2001-06-13 00:00:00,32.74,10.23,34.43,102.27,39.58,27.78,35.64,1241.6,35.73 -2001-06-14 00:00:00,31.86,9.94,35.16,101.57,39.73,27.07,35.21,1219.87,35.29 -2001-06-15 00:00:00,31.65,10.22,35.13,99.69,40.62,26.73,34.79,1214.36,35.31 -2001-06-18 00:00:00,30.87,10.16,35.26,100.27,40.61,26.28,34.87,1208.43,35.15 -2001-06-19 00:00:00,30.54,10.1,35.17,100.77,41.58,26.45,35.15,1212.58,35.1 -2001-06-20 00:00:00,30.93,10.84,36.54,99.24,41.84,27.27,35.43,1223.14,34.85 -2001-06-21 00:00:00,32.23,11.24,36.88,98.81,41.38,27.44,36.33,1237.04,35.12 -2001-06-22 00:00:00,31.76,11.13,37.32,99.05,40.89,27.05,36.45,1225.35,35.32 -2001-06-25 00:00:00,30.87,11.99,36.16,98.85,40.27,27.05,36.09,1218.6,35.16 -2001-06-26 00:00:00,30.96,11.88,35.11,99.2,39.89,27.56,36.05,1216.76,35.18 -2001-06-27 00:00:00,31.24,11.67,34.73,99.62,39.57,27.95,36.49,1211.07,34.65 -2001-06-28 00:00:00,32.49,11.77,35.17,101.0,40.74,28.58,36.66,1226.2,34.49 -2001-06-29 00:00:00,32.49,11.62,35.26,99.6,38.99,28.68,35.55,1224.38,34.7 -2001-07-02 00:00:00,32.88,11.95,36.13,100.34,39.95,27.74,36.34,1236.72,34.84 -2001-07-03 00:00:00,32.69,11.92,35.63,99.14,39.84,27.69,36.69,1234.45,34.69 -2001-07-05 00:00:00,33.12,11.6,34.99,98.37,39.73,26.92,36.17,1219.24,34.56 -2001-07-06 00:00:00,32.33,11.02,33.85,93.46,39.34,25.96,36.1,1190.59,34.48 -2001-07-09 00:00:00,32.79,11.35,33.82,91.89,40.68,25.81,36.37,1198.78,34.45 -2001-07-10 00:00:00,32.08,10.57,33.04,89.47,40.98,25.34,36.37,1181.52,34.07 -2001-07-11 00:00:00,31.61,11.27,32.21,91.13,41.64,26.13,36.26,1180.18,33.74 -2001-07-12 00:00:00,33.08,12.18,33.93,94.11,41.24,28.13,36.63,1208.14,33.94 -2001-07-13 00:00:00,33.68,12.43,34.26,95.24,41.4,28.03,36.54,1215.68,34.15 -2001-07-16 00:00:00,32.22,11.98,33.37,94.61,41.94,27.97,36.99,1202.45,34.16 -2001-07-17 00:00:00,31.99,12.55,33.29,95.24,42.86,28.22,37.11,1214.44,33.88 -2001-07-18 00:00:00,33.22,10.4,33.32,91.51,42.46,27.73,37.79,1207.71,33.47 -2001-07-19 00:00:00,32.9,9.98,33.56,91.26,42.3,28.51,37.37,1215.02,34.22 -2001-07-20 00:00:00,32.56,9.99,33.67,92.75,42.53,27.18,37.19,1210.85,34.45 -2001-07-23 00:00:00,32.12,9.77,32.71,92.89,41.83,26.36,36.23,1191.03,33.76 -2001-07-24 00:00:00,30.24,9.55,31.77,91.71,41.14,26.06,35.88,1171.65,32.55 -2001-07-25 00:00:00,31.73,9.23,31.62,92.04,41.13,26.51,36.83,1190.49,33.47 -2001-07-26 00:00:00,32.12,9.3,31.59,93.02,41.51,26.16,36.78,1202.93,33.94 -2001-07-27 00:00:00,31.35,9.48,32.24,91.88,41.37,25.72,36.73,1205.82,33.95 -2001-07-30 00:00:00,31.72,9.47,31.48,92.89,41.3,25.85,37.07,1204.52,33.69 -2001-07-31 00:00:00,31.86,9.4,31.41,92.32,42.22,26.01,37.5,1211.23,33.18 -2001-08-01 00:00:00,31.32,9.53,30.9,93.95,41.99,26.12,35.14,1215.93,33.05 -2001-08-02 00:00:00,30.86,9.91,30.47,95.47,41.51,26.5,35.75,1220.75,33.15 -2001-08-03 00:00:00,30.8,9.75,30.86,94.93,41.82,26.28,35.74,1214.35,32.78 -2001-08-06 00:00:00,30.19,9.56,29.88,93.46,41.65,25.98,35.38,1200.48,32.45 -2001-08-07 00:00:00,30.17,9.62,30.88,93.24,42.13,26.07,35.78,1204.4,32.87 -2001-08-08 00:00:00,29.36,9.45,30.07,91.55,41.92,25.49,35.89,1183.53,32.77 -2001-08-09 00:00:00,29.26,9.52,30.25,91.45,42.04,25.54,36.45,1183.43,32.71 -2001-08-10 00:00:00,30.18,9.51,30.73,92.22,42.94,25.74,36.72,1190.16,33.03 -2001-08-13 00:00:00,30.28,9.55,30.49,93.02,43.47,25.87,36.23,1191.29,33.07 -2001-08-14 00:00:00,30.1,9.36,30.21,93.32,44.48,25.42,36.63,1186.73,32.87 -2001-08-15 00:00:00,29.42,9.22,30.16,92.27,44.49,24.83,36.64,1178.02,33.15 -2001-08-16 00:00:00,29.59,9.32,30.03,92.92,42.84,25.39,36.95,1181.66,32.99 -2001-08-17 00:00:00,29.92,9.03,29.46,91.9,42.09,24.31,36.74,1161.97,32.33 -2001-08-20 00:00:00,30.82,9.06,29.98,91.47,42.95,24.64,37.4,1171.41,32.56 -2001-08-21 00:00:00,30.5,8.96,29.22,89.53,42.52,23.88,37.03,1157.26,32.27 -2001-08-22 00:00:00,31.11,9.1,29.49,91.35,42.9,23.83,37.74,1165.31,32.52 -2001-08-23 00:00:00,31.01,8.9,29.63,90.5,42.79,23.23,38.0,1162.09,32.67 -2001-08-24 00:00:00,32.0,9.28,30.32,94.01,42.75,24.38,37.88,1184.93,33.31 -2001-08-27 00:00:00,31.86,9.46,30.45,93.9,42.56,24.48,37.7,1179.21,32.79 -2001-08-28 00:00:00,31.62,9.2,29.77,92.22,42.18,23.87,37.48,1161.51,32.36 -2001-08-29 00:00:00,30.98,8.91,29.32,91.5,41.72,23.67,37.79,1148.56,32.26 -2001-08-30 00:00:00,30.57,8.91,29.02,88.18,41.57,22.37,38.02,1129.03,32.08 -2001-08-31 00:00:00,31.08,9.27,29.53,87.82,41.27,22.42,37.8,1133.58,32.08 -2001-09-04 00:00:00,31.42,9.12,29.48,89.18,43.97,22.04,38.04,1132.94,32.56 -2001-09-05 00:00:00,30.98,9.27,30.11,88.18,44.04,22.69,38.56,1131.74,32.93 -2001-09-06 00:00:00,30.19,8.86,29.24,86.11,44.59,22.01,37.99,1106.4,32.68 -2001-09-07 00:00:00,28.91,8.64,28.63,84.87,43.64,21.77,38.24,1085.78,32.68 -2001-09-10 00:00:00,27.56,8.69,28.41,84.77,43.55,22.62,37.83,1092.54,32.95 -2001-09-17 00:00:00,24.53,8.49,25.38,82.02,43.71,20.79,38.64,1038.77,32.08 -2001-09-18 00:00:00,24.62,8.14,24.44,84.7,42.68,21.34,39.93,1032.74,31.54 -2001-09-19 00:00:00,24.87,8.51,23.46,84.35,41.92,21.17,40.0,1016.1,30.69 -2001-09-20 00:00:00,23.33,7.84,21.93,82.07,40.99,19.94,39.33,984.54,29.58 -2001-09-21 00:00:00,23.08,7.86,22.6,79.52,40.91,19.53,37.91,965.8,28.62 -2001-09-24 00:00:00,24.62,8.23,25.41,83.3,41.04,20.44,38.24,1003.45,28.65 -2001-09-25 00:00:00,24.49,7.77,25.63,82.99,41.45,20.16,38.72,1012.27,28.98 -2001-09-26 00:00:00,23.68,7.57,25.73,80.22,42.39,19.75,38.86,1007.04,28.77 -2001-09-27 00:00:00,24.67,7.76,26.07,79.08,42.66,19.63,39.44,1018.61,30.69 -2001-09-28 00:00:00,25.28,7.76,26.98,80.59,43.38,20.11,39.12,1040.94,31.48 -2001-10-01 00:00:00,25.22,7.77,27.3,81.46,43.4,20.35,39.48,1038.55,31.23 -2001-10-02 00:00:00,26.05,7.53,27.6,82.39,43.06,20.84,39.81,1051.33,31.95 -2001-10-03 00:00:00,26.17,7.49,27.67,85.19,42.5,22.09,39.59,1072.28,31.83 -2001-10-04 00:00:00,25.13,7.94,27.12,85.5,42.64,22.18,39.24,1069.63,32.42 -2001-10-05 00:00:00,25.72,8.07,27.16,86.13,42.83,22.68,39.41,1071.38,32.51 -2001-10-08 00:00:00,24.51,8.1,26.69,86.55,43.67,22.81,39.22,1062.44,32.71 -2001-10-09 00:00:00,25.77,8.0,26.7,85.35,43.41,21.44,39.47,1056.75,32.8 -2001-10-10 00:00:00,25.94,8.41,27.49,85.45,43.88,21.81,40.25,1080.99,33.78 -2001-10-11 00:00:00,26.68,8.87,28.25,87.34,43.02,22.13,39.53,1097.43,33.63 -2001-10-12 00:00:00,26.35,9.01,28.28,88.61,43.34,22.15,38.54,1091.65,33.79 -2001-10-15 00:00:00,26.09,8.99,28.18,89.63,43.63,22.81,38.64,1089.98,33.27 -2001-10-16 00:00:00,26.75,9.01,27.9,89.49,44.45,22.97,38.66,1097.54,33.35 -2001-10-17 00:00:00,26.12,8.49,26.94,90.42,45.24,22.02,38.85,1077.09,33.11 -2001-10-18 00:00:00,26.01,9.0,27.02,88.98,45.48,22.3,38.36,1068.61,32.28 -2001-10-19 00:00:00,25.82,9.15,27.02,90.2,45.75,22.75,38.17,1073.48,32.39 -2001-10-22 00:00:00,26.77,9.51,27.28,92.48,46.18,23.64,38.48,1089.9,32.85 -2001-10-23 00:00:00,27.52,9.07,27.03,92.97,46.08,23.74,38.64,1084.78,32.65 -2001-10-24 00:00:00,27.7,9.48,26.89,95.4,46.4,24.09,38.92,1085.2,31.84 -2001-10-25 00:00:00,28.38,9.6,27.46,97.23,46.18,24.58,39.04,1100.09,32.4 -2001-10-26 00:00:00,28.44,9.34,28.2,97.67,45.94,24.44,39.29,1104.61,32.8 -2001-10-29 00:00:00,27.76,8.81,27.15,95.44,45.86,23.43,38.84,1078.3,32.5 -2001-10-30 00:00:00,27.05,8.8,26.36,95.47,45.3,23.14,39.33,1059.79,31.52 -2001-10-31 00:00:00,26.43,8.78,26.41,94.96,45.35,22.85,39.29,1059.78,31.52 -2001-11-01 00:00:00,26.81,9.3,27.49,96.56,46.1,24.3,39.12,1084.1,32.35 -2001-11-02 00:00:00,27.24,9.28,27.53,96.22,46.18,24.13,39.53,1087.2,31.76 -2001-11-05 00:00:00,27.2,9.53,28.12,96.63,45.79,24.86,39.21,1102.84,31.47 -2001-11-06 00:00:00,27.86,9.78,28.86,99.83,46.2,25.45,39.32,1118.86,31.53 -2001-11-07 00:00:00,28.17,9.8,28.54,100.16,46.0,25.25,39.42,1115.8,31.4 -2001-11-08 00:00:00,28.36,9.35,29.26,100.13,46.2,25.31,39.55,1118.54,31.74 -2001-11-09 00:00:00,28.66,9.35,29.31,100.36,46.64,25.62,39.69,1120.31,32.34 -2001-11-12 00:00:00,28.41,9.38,28.6,101.05,46.22,25.85,39.54,1118.33,32.19 -2001-11-13 00:00:00,29.73,9.69,29.42,102.67,46.71,26.68,39.88,1139.09,32.55 -2001-11-14 00:00:00,30.8,9.81,29.65,100.6,47.04,25.91,40.56,1141.21,31.1 -2001-11-15 00:00:00,30.72,9.73,30.13,100.95,46.98,25.98,40.51,1142.24,29.89 -2001-11-16 00:00:00,30.4,9.48,29.63,100.73,47.06,25.83,40.14,1138.65,30.17 -2001-11-19 00:00:00,31.53,10.0,29.92,101.17,47.05,26.15,40.27,1151.06,29.74 -2001-11-20 00:00:00,30.99,9.77,29.81,101.56,47.74,25.7,40.08,1142.66,30.5 -2001-11-21 00:00:00,30.95,9.84,29.34,100.59,47.79,25.17,39.79,1137.03,30.44 -2001-11-23 00:00:00,31.78,9.92,29.75,101.48,47.89,25.43,39.85,1150.34,30.89 -2001-11-26 00:00:00,31.34,10.69,29.97,102.34,47.52,25.6,39.52,1157.42,30.35 -2001-11-27 00:00:00,31.35,10.5,29.79,100.47,47.13,25.05,39.08,1149.5,30.01 -2001-11-28 00:00:00,31.07,10.27,28.54,98.67,47.12,24.68,39.08,1128.52,29.81 -2001-11-29 00:00:00,31.13,10.21,28.81,100.67,45.93,25.48,39.15,1140.2,30.09 -2001-11-30 00:00:00,31.62,10.65,27.92,101.69,45.75,25.23,39.23,1139.45,30.05 -2001-12-03 00:00:00,31.0,10.52,26.78,100.41,45.8,25.45,39.35,1129.9,30.26 -2001-12-04 00:00:00,31.21,11.2,27.09,102.62,44.95,25.93,39.1,1144.8,30.79 -2001-12-05 00:00:00,32.72,11.88,27.23,106.8,44.45,26.76,39.08,1170.35,31.24 -2001-12-06 00:00:00,32.39,11.39,27.38,105.69,43.72,26.97,38.42,1167.1,30.0 -2001-12-07 00:00:00,31.82,11.27,26.94,105.92,44.49,26.65,38.51,1158.31,30.59 -2001-12-10 00:00:00,31.54,11.27,26.69,105.27,43.61,26.35,38.01,1139.93,30.17 -2001-12-11 00:00:00,31.56,10.89,26.68,106.89,44.09,26.45,37.7,1136.76,29.58 -2001-12-12 00:00:00,30.98,10.74,26.87,108.39,44.02,26.7,38.1,1137.07,30.07 -2001-12-13 00:00:00,29.71,10.5,26.87,105.79,44.16,26.04,38.21,1119.38,29.28 -2001-12-14 00:00:00,30.32,10.19,27.31,106.54,44.22,26.5,38.42,1123.09,29.62 -2001-12-17 00:00:00,29.9,10.31,27.78,106.75,44.34,27.1,38.35,1134.36,30.11 -2001-12-18 00:00:00,30.85,10.51,28.81,107.51,44.6,27.22,38.34,1142.92,30.17 -2001-12-19 00:00:00,28.98,10.81,29.58,108.99,45.32,27.3,39.95,1149.56,30.82 -2001-12-20 00:00:00,28.6,10.34,29.62,107.95,45.8,26.23,39.73,1139.93,30.78 -2001-12-21 00:00:00,28.02,10.5,29.99,107.33,46.9,26.54,39.74,1144.89,30.94 -2001-12-24 00:00:00,28.21,10.68,29.87,106.85,46.7,26.43,39.85,1144.65,31.34 -2001-12-26 00:00:00,28.79,10.74,29.41,107.68,46.87,26.59,40.01,1149.37,31.82 -2001-12-27 00:00:00,29.04,11.03,29.83,108.65,47.14,26.66,39.97,1157.13,31.97 -2001-12-28 00:00:00,29.61,11.22,29.67,108.12,47.01,26.67,39.69,1161.02,31.97 -2001-12-31 00:00:00,29.12,10.95,29.2,106.42,46.42,26.03,39.39,1148.08,31.58 -2002-01-02 00:00:00,29.22,11.65,29.83,106.89,46.1,26.34,39.77,1154.67,31.82 -2002-01-03 00:00:00,29.6,11.79,29.58,108.79,46.09,27.2,39.48,1165.27,31.87 -2002-01-04 00:00:00,30.55,11.85,29.83,110.5,45.66,27.07,39.13,1172.51,32.14 -2002-01-07 00:00:00,31.26,11.45,28.67,109.13,45.45,26.94,38.9,1164.89,31.86 -2002-01-08 00:00:00,30.58,11.31,28.37,109.71,45.15,27.26,38.67,1160.71,31.9 -2002-01-09 00:00:00,29.9,10.82,28.08,109.52,44.7,27.0,38.52,1155.14,31.53 -2002-01-10 00:00:00,29.41,10.61,28.13,107.45,45.77,27.22,38.96,1156.55,31.65 -2002-01-11 00:00:00,29.2,10.52,27.85,105.84,45.73,26.96,39.2,1145.6,30.94 -2002-01-14 00:00:00,28.67,10.57,27.61,103.86,46.28,26.9,39.06,1138.41,31.05 -2002-01-15 00:00:00,28.27,10.85,28.2,104.56,46.47,27.33,39.34,1146.19,31.58 -2002-01-16 00:00:00,27.52,10.39,27.48,103.28,46.79,26.67,39.35,1127.57,30.94 -2002-01-17 00:00:00,27.66,11.24,28.23,105.48,46.99,27.45,39.33,1138.88,31.05 -2002-01-18 00:00:00,27.6,11.09,28.18,100.51,46.89,25.97,39.73,1127.58,30.86 -2002-01-22 00:00:00,27.81,10.91,27.9,97.21,46.43,25.33,39.99,1119.31,30.55 -2002-01-23 00:00:00,28.67,11.51,27.43,94.93,46.17,25.05,39.98,1128.18,31.26 -2002-01-24 00:00:00,28.85,11.6,27.35,95.65,45.59,25.38,40.13,1132.15,31.18 -2002-01-25 00:00:00,29.1,11.62,27.87,96.14,45.28,25.07,39.74,1133.28,31.47 -2002-01-28 00:00:00,29.32,11.64,27.79,95.15,45.4,25.08,39.35,1133.06,31.31 -2002-01-29 00:00:00,28.47,11.53,26.56,90.62,44.91,24.49,38.47,1100.64,30.5 -2002-01-30 00:00:00,28.05,12.05,26.87,92.86,44.93,24.7,39.38,1113.57,31.09 -2002-01-31 00:00:00,29.36,12.36,27.06,94.92,45.17,25.03,40.53,1130.2,31.38 -2002-02-01 00:00:00,28.79,12.2,26.84,95.01,45.24,24.62,,1122.2,31.34 -2002-02-04 00:00:00,27.69,12.68,25.5,93.96,44.23,24.02,40.7,1094.44,30.82 -2002-02-05 00:00:00,27.39,12.73,26.38,93.52,43.59,24.03,41.11,1090.02,30.8 -2002-02-06 00:00:00,27.72,12.34,26.92,93.93,43.89,23.73,39.73,1083.51,31.28 -2002-02-07 00:00:00,27.6,12.15,27.1,91.54,44.37,23.5,39.32,1080.17,30.96 -2002-02-08 00:00:00,28.32,12.02,27.14,92.49,44.67,23.83,39.3,1096.22,30.95 -2002-02-11 00:00:00,29.4,12.49,27.54,94.59,44.81,24.02,39.58,1111.94,31.12 -2002-02-12 00:00:00,29.22,12.35,27.32,93.88,45.0,23.63,39.66,1107.5,31.04 -2002-02-13 00:00:00,29.86,12.51,27.75,95.2,45.62,24.29,40.15,1118.51,31.24 -2002-02-14 00:00:00,29.82,12.3,27.68,95.04,45.14,24.24,39.98,1116.48,31.53 -2002-02-15 00:00:00,29.95,11.95,27.03,90.64,45.1,23.67,40.36,1104.18,31.45 -2002-02-19 00:00:00,29.0,11.31,26.52,89.24,44.84,23.16,40.03,1083.34,31.34 -2002-02-20 00:00:00,30.12,11.56,27.37,87.48,45.79,23.54,40.39,1097.98,31.52 -2002-02-21 00:00:00,30.84,10.75,27.33,84.9,45.7,22.81,40.03,1080.95,31.65 -2002-02-22 00:00:00,31.1,11.37,27.75,86.73,46.8,22.79,40.62,1089.84,32.92 -2002-02-25 00:00:00,31.29,11.9,28.56,86.59,47.03,23.21,40.96,1109.43,33.14 -2002-02-26 00:00:00,30.85,11.84,28.23,85.58,47.28,23.01,40.8,1109.38,32.92 -2002-02-27 00:00:00,31.14,10.98,28.36,86.18,47.45,22.94,40.96,1109.89,33.08 -2002-02-28 00:00:00,30.91,10.85,28.18,86.44,47.98,22.92,40.86,1106.73,33.39 -2002-03-01 00:00:00,31.2,11.73,28.87,90.75,48.93,24.11,41.47,1131.78,33.95 -2002-03-04 00:00:00,32.55,12.15,29.42,93.29,48.78,24.87,41.26,1153.84,34.48 -2002-03-05 00:00:00,31.62,11.77,29.64,93.09,48.3,24.79,40.77,1146.14,34.36 -2002-03-06 00:00:00,32.45,12.03,30.41,93.64,49.26,25.0,40.47,1162.77,34.93 -2002-03-07 00:00:00,32.32,12.19,29.97,91.36,50.12,24.64,40.15,1157.54,34.67 -2002-03-08 00:00:00,31.5,12.33,29.71,92.58,50.15,25.13,40.19,1164.31,34.69 -2002-03-11 00:00:00,31.47,12.53,30.12,92.71,50.27,25.28,40.17,1168.26,35.16 -2002-03-12 00:00:00,32.02,12.36,30.08,95.58,50.15,24.57,40.51,1165.58,35.57 -2002-03-13 00:00:00,31.55,12.24,29.27,94.42,50.34,24.4,40.22,1154.09,34.86 -2002-03-14 00:00:00,31.67,12.22,29.57,93.91,50.72,24.05,40.67,1153.04,34.95 -2002-03-15 00:00:00,32.11,12.48,29.41,94.07,50.9,24.55,41.28,1166.16,35.25 -2002-03-18 00:00:00,32.08,12.37,29.2,93.69,50.94,24.42,41.15,1165.55,35.36 -2002-03-19 00:00:00,31.92,12.43,29.2,94.69,51.6,24.45,41.58,1170.29,35.41 -2002-03-20 00:00:00,31.47,12.46,28.4,92.94,50.81,23.61,41.02,1151.85,35.19 -2002-03-21 00:00:00,31.05,12.14,27.41,94.07,51.05,24.11,40.9,1153.59,35.19 -2002-03-22 00:00:00,30.49,12.05,27.72,93.03,51.09,23.75,41.3,1148.7,35.14 -2002-03-25 00:00:00,30.24,11.68,27.11,91.23,50.7,23.27,41.61,1131.87,34.64 -2002-03-26 00:00:00,31.13,11.73,27.31,90.65,50.98,23.21,42.15,1138.49,35.36 -2002-03-27 00:00:00,31.09,11.73,27.41,91.08,51.32,23.36,41.42,1144.58,35.53 -2002-03-28 00:00:00,31.05,11.84,27.37,91.62,51.17,23.7,41.79,1147.39,35.43 -2002-04-01 00:00:00,30.97,12.23,27.3,90.61,50.9,23.72,41.73,1146.54,35.43 -2002-04-02 00:00:00,31.19,12.03,27.15,88.93,50.78,22.51,41.07,1136.76,35.87 -2002-04-03 00:00:00,30.65,11.88,26.9,88.06,50.44,22.13,40.55,1125.4,35.32 -2002-04-04 00:00:00,30.34,12.45,27.3,88.83,50.01,22.18,40.92,1126.34,34.88 -2002-04-05 00:00:00,31.27,12.37,27.15,85.67,49.67,21.95,41.07,1122.73,34.46 -2002-04-08 00:00:00,31.15,12.28,26.98,77.0,49.93,22.48,41.23,1125.29,34.95 -2002-04-09 00:00:00,30.76,12.05,26.68,77.29,49.63,21.56,41.73,1117.8,34.53 -2002-04-10 00:00:00,31.55,12.33,27.23,78.41,49.98,22.12,42.43,1130.47,34.9 -2002-04-11 00:00:00,31.27,12.43,24.7,74.16,49.4,21.53,42.08,1103.69,34.27 -2002-04-12 00:00:00,30.71,12.53,24.55,75.41,49.37,21.98,42.11,1111.01,33.39 -2002-04-15 00:00:00,30.2,12.5,23.31,75.19,48.97,21.88,41.56,1102.55,33.63 -2002-04-16 00:00:00,30.92,12.87,24.22,75.94,49.84,22.72,42.16,1128.37,34.18 -2002-04-17 00:00:00,30.99,13.06,24.63,74.71,49.26,22.25,42.12,1126.07,34.13 -2002-04-18 00:00:00,30.8,12.7,24.74,78.36,50.65,22.15,42.04,1124.47,34.32 -2002-04-19 00:00:00,30.84,12.49,24.66,78.4,50.81,22.48,43.1,1125.17,34.37 -2002-04-22 00:00:00,29.38,12.27,24.05,77.46,49.9,21.84,42.87,1107.83,33.83 -2002-04-23 00:00:00,29.36,12.12,24.01,76.93,49.48,21.21,42.36,1100.96,33.43 -2002-04-24 00:00:00,28.79,11.89,23.79,76.2,50.12,20.83,42.95,1093.14,32.58 -2002-04-25 00:00:00,28.73,12.06,23.46,76.38,49.95,21.11,42.56,1091.48,32.77 -2002-04-26 00:00:00,28.5,11.51,23.05,74.62,50.12,20.24,42.38,1076.32,32.33 -2002-04-29 00:00:00,27.89,11.98,22.58,73.9,49.56,20.53,42.45,1065.45,32.09 -2002-04-30 00:00:00,28.0,12.14,23.09,73.79,50.31,20.53,42.11,1076.92,32.47 -2002-05-01 00:00:00,28.1,11.99,23.2,74.26,50.38,20.73,42.94,1086.46,32.89 -2002-05-02 00:00:00,28.45,11.85,23.13,73.87,50.58,20.12,43.06,1084.56,32.98 -2002-05-03 00:00:00,28.65,11.76,23.2,72.04,49.97,19.47,42.6,1073.43,32.81 -2002-05-06 00:00:00,28.18,11.32,22.67,66.95,48.93,19.1,42.19,1052.67,31.73 -2002-05-07 00:00:00,28.45,11.23,22.43,67.39,47.6,19.44,42.06,1049.49,31.61 -2002-05-08 00:00:00,28.92,12.19,24.04,72.77,47.98,21.6,41.89,1088.85,32.34 -2002-05-09 00:00:00,28.84,12.1,23.05,70.55,48.35,20.48,42.24,1073.01,32.0 -2002-05-10 00:00:00,28.92,11.66,22.43,70.33,48.73,19.67,42.52,1054.99,31.68 -2002-05-13 00:00:00,29.21,11.97,22.58,72.55,48.72,20.7,42.65,1074.56,32.53 -2002-05-14 00:00:00,29.96,12.81,23.11,75.45,48.09,21.56,42.8,1097.28,32.99 -2002-05-15 00:00:00,29.81,12.64,22.64,74.58,47.46,21.51,42.36,1091.07,32.29 -2002-05-16 00:00:00,29.63,12.6,23.42,75.42,47.7,21.9,42.64,1098.23,32.74 -2002-05-17 00:00:00,29.47,12.51,24.48,75.63,48.59,22.02,42.31,1106.59,32.68 -2002-05-20 00:00:00,29.24,12.37,23.86,74.54,47.79,21.22,41.83,1091.88,32.19 -2002-05-21 00:00:00,29.42,11.73,23.53,73.66,47.94,20.51,41.43,1079.88,32.33 -2002-05-22 00:00:00,29.3,12.16,23.36,74.14,49.01,21.1,41.89,1086.02,32.87 -2002-05-23 00:00:00,29.67,12.59,24.12,74.45,48.82,21.54,41.53,1097.08,33.25 -2002-05-24 00:00:00,29.4,12.07,23.86,73.35,48.54,20.93,40.76,1083.82,32.71 -2002-05-28 00:00:00,29.26,11.99,23.46,72.45,48.39,20.56,41.3,1074.55,32.39 -2002-05-29 00:00:00,29.17,11.99,22.98,72.02,48.51,20.45,41.33,1067.66,32.77 -2002-05-30 00:00:00,29.05,12.1,22.83,72.6,48.51,20.68,41.33,1064.66,31.99 -2002-05-31 00:00:00,28.91,11.65,22.79,71.01,48.5,20.0,42.18,1067.14,32.46 -2002-06-03 00:00:00,28.09,11.45,22.04,68.94,47.47,19.42,41.5,1040.68,31.77 -2002-06-04 00:00:00,27.62,11.39,21.99,70.0,46.96,19.64,42.02,1040.69,31.9 -2002-06-05 00:00:00,27.6,11.36,22.07,71.1,47.12,20.3,42.35,1049.9,32.16 -2002-06-06 00:00:00,26.53,11.08,21.44,70.31,46.44,20.39,41.41,1029.15,31.83 -2002-06-07 00:00:00,26.28,10.7,22.1,69.11,46.1,20.42,41.75,1027.53,32.05 -2002-06-10 00:00:00,26.4,10.74,21.92,67.79,46.64,20.75,41.71,1030.74,31.81 -2002-06-11 00:00:00,25.93,10.23,21.52,66.63,45.45,20.66,41.44,1013.6,31.73 -2002-06-12 00:00:00,26.49,10.05,22.21,65.89,45.25,21.82,42.03,1020.26,32.28 -2002-06-13 00:00:00,26.38,9.77,21.85,66.73,45.38,21.3,41.69,1009.56,32.0 -2002-06-14 00:00:00,25.92,10.05,21.74,67.23,44.92,21.71,41.42,1007.27,31.83 -2002-06-17 00:00:00,26.1,10.27,22.33,68.09,45.42,21.88,42.11,1036.17,32.55 -2002-06-18 00:00:00,26.45,10.07,22.8,67.03,44.63,22.0,41.71,1037.14,32.46 -2002-06-19 00:00:00,25.88,8.56,22.21,64.74,44.56,21.36,42.22,1019.99,32.01 -2002-06-20 00:00:00,25.78,8.56,21.74,63.18,43.51,21.26,41.71,1006.29,32.31 -2002-06-21 00:00:00,25.25,8.43,21.19,60.68,41.9,20.54,41.18,989.14,31.91 -2002-06-24 00:00:00,25.45,8.64,21.66,61.52,42.79,21.28,41.06,992.72,32.52 -2002-06-25 00:00:00,25.73,8.57,21.15,60.55,42.17,20.81,39.9,976.14,32.2 -2002-06-26 00:00:00,25.91,8.27,21.73,61.83,42.8,21.27,40.08,973.53,32.07 -2002-06-27 00:00:00,26.43,8.53,22.02,63.46,43.01,21.58,39.55,990.64,32.72 -2002-06-28 00:00:00,27.4,8.86,21.39,63.55,41.31,21.49,39.22,989.82,33.27 -2002-07-01 00:00:00,27.27,8.53,20.95,59.67,39.92,20.69,39.89,968.65,33.05 -2002-07-02 00:00:00,26.66,8.47,20.69,60.53,40.8,20.21,38.86,948.09,32.65 -2002-07-03 00:00:00,26.82,8.77,20.55,62.24,41.86,20.37,38.64,953.99,32.45 -2002-07-05 00:00:00,27.59,9.37,21.87,64.88,43.15,21.55,39.14,989.03,32.94 -2002-07-08 00:00:00,26.86,9.01,21.67,62.93,42.36,20.79,39.75,976.98,32.81 -2002-07-09 00:00:00,26.41,8.77,20.84,61.49,41.6,20.91,36.84,952.83,32.36 -2002-07-10 00:00:00,25.12,8.66,19.92,60.69,39.76,20.53,36.3,920.47,31.08 -2002-07-11 00:00:00,25.09,9.15,20.14,61.27,40.3,20.79,35.32,927.37,30.16 -2002-07-12 00:00:00,24.89,8.76,21.06,61.09,39.92,20.38,34.26,921.39,29.7 -2002-07-15 00:00:00,24.13,9.11,20.8,62.67,38.74,20.35,34.38,917.93,29.07 -2002-07-16 00:00:00,23.77,8.93,20.29,60.91,39.61,20.14,32.96,900.94,28.62 -2002-07-17 00:00:00,23.85,7.82,20.8,62.39,40.51,20.43,34.49,906.04,28.95 -2002-07-18 00:00:00,23.33,7.49,20.4,63.6,39.31,20.08,32.8,881.56,28.25 -2002-07-19 00:00:00,22.31,7.48,19.53,63.55,33.08,19.47,29.46,847.75,26.34 -2002-07-22 00:00:00,20.54,7.46,18.9,60.46,33.62,18.67,28.89,819.85,24.61 -2002-07-23 00:00:00,19.67,7.24,18.26,59.18,34.85,16.9,29.27,797.7,25.14 -2002-07-24 00:00:00,20.61,7.6,19.54,61.38,37.71,18.16,32.19,843.43,27.59 -2002-07-25 00:00:00,20.0,7.18,19.63,61.21,38.5,16.83,32.89,838.68,27.56 -2002-07-26 00:00:00,21.16,7.17,20.47,58.61,39.22,17.82,32.71,852.84,28.53 -2002-07-29 00:00:00,22.6,7.51,22.43,62.83,40.52,18.96,34.62,898.96,29.54 -2002-07-30 00:00:00,21.59,7.72,23.27,63.37,40.27,18.9,33.97,902.78,29.0 -2002-07-31 00:00:00,22.48,7.63,23.71,62.14,41.58,18.85,34.94,911.62,29.89 -2002-08-01 00:00:00,21.85,7.4,23.12,60.24,40.65,17.98,34.59,884.66,27.36 -2002-08-02 00:00:00,21.2,7.22,21.73,59.91,41.31,17.45,34.95,864.24,27.33 -2002-08-05 00:00:00,20.03,6.99,20.84,58.25,39.61,17.28,33.32,834.6,26.42 -2002-08-06 00:00:00,20.75,7.37,21.84,59.93,40.38,17.94,32.97,859.57,27.16 -2002-08-07 00:00:00,20.97,7.51,22.65,61.19,41.51,18.5,34.11,876.77,27.89 -2002-08-08 00:00:00,21.25,7.65,23.53,63.35,43.14,19.22,34.55,905.46,29.27 -2002-08-09 00:00:00,21.78,7.5,23.86,63.54,43.09,18.91,35.64,908.64,29.54 -2002-08-12 00:00:00,21.69,7.49,23.75,63.49,43.15,19.05,36.05,903.8,29.24 -2002-08-13 00:00:00,21.05,7.3,22.79,63.6,42.19,18.49,35.73,884.21,28.51 -2002-08-14 00:00:00,20.57,7.59,23.49,66.27,43.87,19.53,36.63,919.62,29.78 -2002-08-15 00:00:00,21.14,7.8,23.78,67.67,44.25,19.56,36.21,930.25,30.39 -2002-08-16 00:00:00,20.59,7.91,23.24,70.19,43.89,19.65,36.12,928.77,30.15 -2002-08-19 00:00:00,21.7,7.99,24.22,72.97,44.35,20.43,35.74,950.7,30.41 -2002-08-20 00:00:00,21.44,7.95,23.75,71.89,43.56,20.05,35.49,937.43,29.6 -2002-08-21 00:00:00,22.46,8.06,23.79,71.65,43.55,20.54,35.47,949.36,29.82 -2002-08-22 00:00:00,22.9,7.99,24.08,72.53,44.59,20.92,35.59,962.7,30.3 -2002-08-23 00:00:00,22.33,7.86,23.75,71.12,43.5,20.52,35.11,940.86,29.58 -2002-08-26 00:00:00,22.5,7.76,23.62,70.26,44.2,20.47,34.61,947.95,30.01 -2002-08-27 00:00:00,22.19,7.43,23.53,68.96,43.44,19.98,33.61,934.82,30.19 -2002-08-28 00:00:00,20.84,7.35,23.05,67.28,43.13,19.4,32.49,917.87,29.15 -2002-08-29 00:00:00,20.51,7.35,22.35,67.78,42.97,19.87,31.74,917.8,28.96 -2002-08-30 00:00:00,20.85,7.38,22.2,66.68,43.09,19.28,32.19,916.07,29.01 -2002-09-03 00:00:00,19.55,7.03,20.96,64.0,41.8,18.48,31.27,878.02,27.51 -2002-09-04 00:00:00,19.23,7.24,21.14,65.22,43.12,18.94,30.87,893.4,27.67 -2002-09-05 00:00:00,18.41,7.09,20.62,63.85,43.18,18.04,30.31,879.15,27.63 -2002-09-06 00:00:00,18.78,7.19,20.84,64.75,43.58,18.79,31.04,893.92,28.07 -2002-09-09 00:00:00,19.37,7.18,21.2,65.9,43.8,19.14,31.59,902.96,27.82 -2002-09-10 00:00:00,19.75,7.16,21.42,66.88,43.95,19.56,32.62,909.58,28.47 -2002-09-11 00:00:00,19.84,7.14,21.36,65.64,44.02,19.09,32.26,909.45,28.31 -2002-09-12 00:00:00,18.93,7.07,20.62,63.58,42.82,18.53,32.16,886.91,27.49 -2002-09-13 00:00:00,18.28,7.09,19.92,64.13,42.96,18.83,32.8,889.81,27.89 -2002-09-16 00:00:00,18.53,7.25,20.55,63.97,43.56,18.77,33.46,891.1,28.15 -2002-09-17 00:00:00,17.89,7.4,20.4,63.47,42.52,18.58,32.07,873.52,27.06 -2002-09-18 00:00:00,17.4,7.51,20.14,61.52,42.73,18.76,31.09,869.46,27.17 -2002-09-19 00:00:00,16.72,7.29,19.55,57.32,41.23,18.55,30.35,843.32,26.48 -2002-09-20 00:00:00,17.55,7.43,19.7,56.54,41.5,18.65,30.64,845.39,26.9 -2002-09-23 00:00:00,16.88,7.43,19.44,56.06,41.93,17.77,30.39,833.7,26.77 -2002-09-24 00:00:00,16.27,7.32,19.07,52.86,42.54,17.93,30.04,819.29,26.14 -2002-09-25 00:00:00,16.61,7.47,20.02,55.74,42.57,18.28,30.23,839.66,26.68 -2002-09-26 00:00:00,16.62,7.35,19.57,54.86,44.07,18.15,30.55,854.95,27.94 -2002-09-27 00:00:00,16.04,7.36,18.15,53.39,43.72,17.78,29.97,827.37,26.86 -2002-09-30 00:00:00,16.04,7.25,18.28,51.58,42.91,17.19,30.19,815.28,26.1 -2002-10-01 00:00:00,17.25,7.26,19.43,54.11,44.67,18.16,30.8,847.91,27.76 -2002-10-02 00:00:00,16.91,7.09,18.39,52.75,46.26,17.92,30.84,827.91,26.72 -2002-10-03 00:00:00,16.71,7.15,18.26,53.08,46.0,17.6,30.41,818.95,27.15 -2002-10-04 00:00:00,15.88,7.01,17.81,50.07,45.19,17.2,30.23,800.58,27.05 -2002-10-07 00:00:00,15.49,6.89,17.02,50.3,44.99,17.31,29.23,785.28,27.16 -2002-10-08 00:00:00,15.39,6.84,17.32,50.47,46.41,17.68,33.58,798.55,26.76 -2002-10-09 00:00:00,14.99,6.8,16.32,48.72,44.59,17.28,33.99,776.76,26.86 -2002-10-10 00:00:00,15.5,7.05,16.76,50.94,45.07,18.22,33.96,803.92,27.65 -2002-10-11 00:00:00,16.91,7.26,17.95,56.54,44.99,19.2,34.86,835.32,28.26 -2002-10-14 00:00:00,16.79,7.39,18.06,56.1,45.88,19.37,35.11,841.44,28.58 -2002-10-15 00:00:00,18.0,7.58,19.43,60.58,47.26,20.55,35.39,881.27,29.7 -2002-10-16 00:00:00,17.6,7.28,18.99,57.41,46.73,19.81,35.58,860.02,29.07 -2002-10-17 00:00:00,18.7,7.05,19.94,63.87,47.76,19.95,35.73,879.2,29.7 -2002-10-18 00:00:00,18.97,7.17,19.76,65.68,47.09,20.88,35.78,884.39,29.46 -2002-10-21 00:00:00,19.72,7.28,20.13,66.83,48.49,20.63,36.68,899.72,29.46 -2002-10-22 00:00:00,19.4,7.35,20.08,65.89,47.46,20.3,36.53,890.16,28.79 -2002-10-23 00:00:00,18.78,7.44,19.95,65.99,45.98,20.9,36.43,896.14,28.75 -2002-10-24 00:00:00,18.86,7.34,19.28,63.78,45.79,20.13,36.42,882.5,28.37 -2002-10-25 00:00:00,19.34,7.71,19.46,65.96,45.83,20.7,36.1,897.65,28.73 -2002-10-28 00:00:00,18.92,7.8,19.47,67.73,45.44,20.41,35.22,890.23,28.34 -2002-10-29 00:00:00,18.59,7.72,19.17,67.88,44.63,20.46,35.67,882.15,27.19 -2002-10-30 00:00:00,18.95,7.99,18.65,69.59,45.46,20.87,35.77,890.71,27.89 -2002-10-31 00:00:00,18.34,8.03,18.73,69.83,46.61,21.01,36.03,885.76,27.54 -2002-11-01 00:00:00,19.16,8.18,19.28,71.12,46.49,20.83,36.19,900.96,28.36 -2002-11-04 00:00:00,19.55,8.44,19.65,72.98,46.58,22.04,35.48,908.35,28.03 -2002-11-05 00:00:00,19.42,8.45,19.65,72.25,47.52,22.27,35.95,915.39,29.11 -2002-11-06 00:00:00,19.95,8.61,19.73,72.26,47.82,22.41,35.56,923.76,28.73 -2002-11-07 00:00:00,19.63,8.0,19.36,69.97,47.52,22.01,35.52,902.65,28.4 -2002-11-08 00:00:00,19.45,7.92,18.61,68.76,47.82,21.65,35.77,894.74,28.51 -2002-11-11 00:00:00,18.74,7.58,17.95,68.5,47.61,21.16,35.33,876.19,27.9 -2002-11-12 00:00:00,19.18,7.82,17.69,70.15,47.62,21.42,34.68,882.95,28.04 -2002-11-13 00:00:00,18.7,7.8,17.87,70.32,47.55,21.75,35.47,882.53,27.51 -2002-11-14 00:00:00,19.48,8.15,18.17,71.54,47.97,22.39,36.15,904.27,28.42 -2002-11-15 00:00:00,19.18,7.97,17.69,70.91,47.89,22.27,36.69,909.83,28.7 -2002-11-18 00:00:00,19.04,7.82,17.5,70.17,47.04,21.94,36.18,900.36,28.8 -2002-11-19 00:00:00,18.86,7.64,17.72,69.45,46.81,21.56,36.68,896.74,28.99 -2002-11-20 00:00:00,19.02,7.76,18.39,72.33,47.77,22.25,35.74,914.15,29.03 -2002-11-21 00:00:00,20.67,8.18,19.91,75.24,47.35,22.73,34.47,933.76,28.71 -2002-11-22 00:00:00,20.5,8.01,19.62,74.82,46.61,22.88,34.34,930.55,28.19 -2002-11-25 00:00:00,20.54,7.99,19.88,76.39,46.69,22.88,33.89,932.87,28.5 -2002-11-26 00:00:00,20.5,7.7,19.54,75.38,44.91,22.36,33.89,913.31,27.97 -2002-11-27 00:00:00,21.31,7.86,20.13,77.72,45.97,22.82,34.54,938.87,28.8 -2002-11-29 00:00:00,21.37,7.75,20.11,77.03,45.4,22.66,34.71,936.31,28.66 -2002-12-02 00:00:00,21.4,7.59,20.17,77.37,44.34,22.67,34.48,934.53,28.48 -2002-12-03 00:00:00,20.72,7.58,19.84,75.52,44.45,22.28,35.05,920.75,28.75 -2002-12-04 00:00:00,20.35,7.49,19.67,74.17,45.16,22.22,35.56,917.58,28.64 -2002-12-05 00:00:00,20.02,7.32,19.13,73.61,44.48,21.74,35.44,906.55,28.64 -2002-12-06 00:00:00,20.01,7.47,19.32,72.95,44.0,21.8,36.05,912.23,28.95 -2002-12-09 00:00:00,19.26,7.38,18.91,70.54,44.23,21.03,35.43,892.0,28.42 -2002-12-10 00:00:00,19.25,7.64,19.23,71.61,44.47,21.22,35.87,904.45,28.86 -2002-12-11 00:00:00,18.98,7.74,19.39,72.18,44.72,21.48,35.38,904.96,28.84 -2002-12-12 00:00:00,19.45,7.59,19.21,71.05,43.83,21.28,35.4,901.58,28.73 -2002-12-13 00:00:00,19.27,7.39,18.91,70.9,43.72,20.63,34.31,889.48,28.86 -2002-12-16 00:00:00,20.2,7.43,19.6,72.33,44.25,21.41,34.76,910.4,29.54 -2002-12-17 00:00:00,19.99,7.54,19.28,71.17,43.52,21.36,33.76,902.99,29.26 -2002-12-18 00:00:00,19.39,7.28,19.03,70.13,42.75,21.03,33.49,891.12,29.27 -2002-12-19 00:00:00,19.24,7.1,18.84,69.71,42.52,20.87,33.18,884.25,28.95 -2002-12-20 00:00:00,19.95,7.07,19.24,70.71,43.41,20.84,33.83,895.76,29.4 -2002-12-23 00:00:00,19.59,7.24,19.08,71.13,43.39,21.22,34.22,897.38,29.45 -2002-12-24 00:00:00,19.27,7.18,18.79,70.69,43.71,21.15,34.43,892.47,29.17 -2002-12-26 00:00:00,19.29,7.2,18.76,69.57,42.88,20.98,34.77,889.66,29.09 -2002-12-27 00:00:00,18.86,7.03,18.46,68.56,42.28,20.81,34.16,875.4,28.53 -2002-12-30 00:00:00,19.02,7.03,18.31,67.58,42.82,20.73,34.47,879.39,28.62 -2002-12-31 00:00:00,19.06,7.16,18.19,68.68,42.76,20.31,34.61,879.82,28.78 -2003-01-02 00:00:00,19.7,7.4,19.04,71.4,44.05,21.11,35.34,909.03,29.22 -2003-01-03 00:00:00,19.91,7.45,18.98,72.36,45.23,21.14,35.58,908.59,29.24 -2003-01-06 00:00:00,20.4,7.45,19.47,74.08,45.66,21.52,35.22,929.01,29.96 -2003-01-07 00:00:00,20.4,7.43,19.35,76.22,44.63,21.93,34.58,922.93,28.95 -2003-01-08 00:00:00,18.28,7.28,19.05,74.61,44.37,21.31,35.01,909.93,28.83 -2003-01-09 00:00:00,18.82,7.34,19.35,77.1,45.26,21.93,35.37,927.57,29.44 -2003-01-10 00:00:00,19.07,7.36,19.17,77.71,45.54,21.97,35.14,927.57,29.03 -2003-01-13 00:00:00,19.13,7.32,19.16,77.55,44.62,22.16,35.45,926.26,28.91 -2003-01-14 00:00:00,19.37,7.3,19.21,78.5,44.87,22.39,35.62,931.66,29.17 -2003-01-15 00:00:00,18.57,7.22,18.82,77.63,43.79,22.11,35.2,918.22,28.77 -2003-01-16 00:00:00,18.5,7.31,18.7,76.26,43.53,21.75,35.85,914.6,28.9 -2003-01-17 00:00:00,18.53,7.05,18.59,72.05,43.62,20.22,35.79,901.78,28.6 -2003-01-21 00:00:00,17.68,7.01,17.98,71.38,42.98,20.17,35.54,887.62,27.94 -2003-01-22 00:00:00,17.4,6.94,17.6,70.63,42.99,20.04,35.09,878.36,27.58 -2003-01-23 00:00:00,18.15,7.09,17.9,71.83,43.63,20.54,34.38,887.34,27.52 -2003-01-24 00:00:00,17.33,6.9,17.23,70.0,42.68,19.59,33.66,861.4,26.93 -2003-01-27 00:00:00,16.86,7.07,17.22,69.5,41.54,19.32,33.24,847.48,26.21 -2003-01-28 00:00:00,16.95,7.29,17.3,71.0,42.23,19.18,33.23,858.54,26.9 -2003-01-29 00:00:00,17.02,7.47,17.21,71.18,41.72,19.61,33.21,864.36,27.88 -2003-01-30 00:00:00,16.62,7.16,16.85,69.39,41.03,18.95,31.74,844.61,27.37 -2003-01-31 00:00:00,16.54,7.18,17.29,69.3,42.68,18.65,33.19,855.7,28.13 -2003-02-03 00:00:00,16.69,7.33,17.67,69.29,42.47,19.08,33.4,860.32,28.52 -2003-02-04 00:00:00,16.16,7.3,17.22,68.32,42.0,18.59,33.78,848.2,28.52 -2003-02-05 00:00:00,16.73,7.22,17.19,68.47,41.48,18.45,33.68,843.59,28.11 -2003-02-06 00:00:00,16.41,7.22,17.1,68.83,41.49,18.63,32.97,838.15,27.87 -2003-02-07 00:00:00,16.52,7.07,16.96,68.46,41.27,18.3,31.98,829.69,27.66 -2003-02-10 00:00:00,16.69,7.18,16.91,69.18,41.43,18.62,32.18,835.97,27.87 -2003-02-11 00:00:00,16.7,7.18,16.81,68.72,41.4,18.25,31.47,829.2,27.67 -2003-02-12 00:00:00,16.67,7.2,16.63,67.93,39.81,18.25,31.49,818.68,27.12 -2003-02-13 00:00:00,16.69,7.27,16.57,67.36,41.02,18.46,31.89,817.37,27.47 -2003-02-14 00:00:00,16.9,7.34,16.8,68.77,41.37,18.98,32.68,834.89,27.73 -2003-02-18 00:00:00,17.66,7.64,17.12,70.44,42.42,19.61,32.99,851.17,27.99 -2003-02-19 00:00:00,17.31,7.43,17.45,70.6,42.03,19.34,32.83,845.13,28.01 -2003-02-20 00:00:00,17.07,7.39,17.45,70.28,41.51,19.03,32.27,837.1,27.89 -2003-02-21 00:00:00,17.51,7.5,17.78,70.99,42.75,19.42,32.3,848.17,28.34 -2003-02-24 00:00:00,16.82,7.37,17.5,69.76,41.91,18.98,31.83,832.58,28.19 -2003-02-25 00:00:00,17.15,7.51,17.92,70.21,42.18,19.07,31.84,838.57,28.31 -2003-02-26 00:00:00,17.1,7.25,17.6,68.73,41.43,18.61,31.35,827.55,28.06 -2003-02-27 00:00:00,17.26,7.43,18.0,68.62,42.19,18.59,31.33,837.28,28.18 -2003-02-28 00:00:00,17.28,7.51,18.11,69.22,41.93,18.68,31.42,841.15,28.21 -2003-03-03 00:00:00,17.23,7.32,18.0,68.67,41.91,18.56,31.24,834.81,28.58 -2003-03-04 00:00:00,16.85,7.28,17.62,68.11,41.32,18.19,31.2,821.99,28.39 -2003-03-05 00:00:00,16.87,7.31,17.93,69.02,42.22,18.48,30.58,829.85,28.96 -2003-03-06 00:00:00,16.2,7.28,18.04,68.44,42.61,18.35,30.87,822.1,28.66 -2003-03-07 00:00:00,16.13,7.26,18.3,69.17,44.21,18.57,31.56,828.89,28.85 -2003-03-10 00:00:00,15.85,7.18,17.78,67.22,43.27,18.09,30.97,807.48,28.48 -2003-03-11 00:00:00,15.66,7.11,17.59,66.91,43.55,17.98,30.91,800.73,28.67 -2003-03-12 00:00:00,15.91,7.11,17.93,66.76,43.71,18.44,31.06,804.19,28.24 -2003-03-13 00:00:00,16.76,7.36,18.99,69.66,44.35,19.45,31.99,831.9,28.6 -2003-03-14 00:00:00,16.81,7.39,19.32,70.15,44.12,19.6,32.1,833.27,28.52 -2003-03-17 00:00:00,17.55,7.51,19.79,73.22,45.08,20.44,33.25,862.79,29.07 -2003-03-18 00:00:00,17.82,7.5,19.88,73.23,45.39,20.53,33.1,866.45,29.23 -2003-03-19 00:00:00,17.92,7.47,20.32,72.81,45.81,20.75,33.3,874.02,29.51 -2003-03-20 00:00:00,17.87,7.45,20.22,72.99,45.88,20.69,33.05,875.67,29.51 -2003-03-21 00:00:00,18.45,7.5,21.09,75.39,46.9,20.95,34.16,895.79,29.85 -2003-03-24 00:00:00,17.56,7.18,20.13,73.03,45.37,19.94,32.99,864.23,29.28 -2003-03-25 00:00:00,17.98,7.28,20.32,74.1,45.63,20.1,33.01,874.74,29.58 -2003-03-26 00:00:00,17.52,7.2,20.03,72.41,45.29,19.91,32.78,869.95,29.74 -2003-03-27 00:00:00,17.06,7.24,19.91,72.32,45.53,19.74,33.16,868.52,29.79 -2003-03-28 00:00:00,17.2,7.28,19.61,71.79,45.87,19.45,32.84,863.5,29.88 -2003-03-31 00:00:00,16.34,7.07,19.21,69.64,46.26,19.09,32.92,848.18,28.98 -2003-04-01 00:00:00,16.36,7.08,19.68,69.91,46.7,19.2,32.91,858.48,29.56 -2003-04-02 00:00:00,16.95,7.3,20.37,72.33,46.69,20.28,32.68,880.9,29.6 -2003-04-03 00:00:00,16.79,7.23,20.75,72.73,45.93,20.29,31.42,876.45,29.07 -2003-04-04 00:00:00,16.9,7.2,20.81,71.74,46.24,19.78,31.81,878.85,29.45 -2003-04-07 00:00:00,18.24,7.24,20.91,71.45,45.83,19.84,32.04,879.93,29.07 -2003-04-08 00:00:00,18.19,7.22,21.13,71.1,45.97,20.17,32.29,878.29,28.68 -2003-04-09 00:00:00,18.04,7.09,20.56,69.89,45.77,19.37,32.42,865.99,28.58 -2003-04-10 00:00:00,17.92,7.18,20.62,70.16,45.73,19.39,32.75,871.58,28.76 -2003-04-11 00:00:00,17.94,6.6,20.83,69.93,45.87,19.08,33.15,868.3,28.47 -2003-04-14 00:00:00,18.59,6.79,20.91,71.1,46.19,19.52,33.72,885.23,28.92 -2003-04-15 00:00:00,19.05,6.7,21.32,73.51,44.75,19.39,33.39,890.81,29.07 -2003-04-16 00:00:00,18.86,6.62,20.96,73.59,43.48,19.65,32.84,879.91,28.77 -2003-04-17 00:00:00,19.15,6.56,21.46,74.82,43.98,20.1,35.02,893.58,29.05 -2003-04-21 00:00:00,19.18,6.57,21.21,74.02,44.26,19.88,34.44,892.01,28.92 -2003-04-22 00:00:00,19.12,6.76,21.84,76.04,44.84,20.31,34.82,911.37,29.37 -2003-04-23 00:00:00,19.15,6.79,22.14,76.14,45.41,20.28,35.39,919.02,29.31 -2003-04-24 00:00:00,18.56,6.72,21.92,75.65,45.97,20.1,35.67,911.43,29.13 -2003-04-25 00:00:00,18.48,6.68,21.93,74.48,44.93,19.88,35.11,898.81,28.85 -2003-04-28 00:00:00,18.94,6.93,22.23,75.58,45.57,20.29,35.76,914.84,29.36 -2003-04-29 00:00:00,19.15,7.03,22.14,76.06,45.48,20.34,35.76,917.84,28.88 -2003-04-30 00:00:00,19.46,7.11,22.18,75.39,45.05,20.16,35.62,916.92,29.19 -2003-05-01 00:00:00,19.34,7.18,21.92,76.27,45.02,20.28,36.02,916.3,29.42 -2003-05-02 00:00:00,19.59,7.22,21.9,77.76,45.28,20.58,35.75,930.08,29.89 -2003-05-05 00:00:00,19.67,8.05,21.71,76.83,45.13,20.39,35.62,926.55,29.4 -2003-05-06 00:00:00,19.72,8.75,21.93,77.71,45.18,20.79,35.72,934.39,29.19 -2003-05-07 00:00:00,19.57,8.82,21.73,77.11,45.57,20.49,35.65,929.62,29.36 -2003-05-08 00:00:00,19.3,9.0,21.44,76.55,45.12,20.29,35.48,920.27,29.31 -2003-05-09 00:00:00,19.6,9.15,21.84,77.88,45.04,20.78,35.96,933.41,29.62 -2003-05-12 00:00:00,19.75,9.28,21.82,79.17,44.89,20.66,35.95,945.11,29.69 -2003-05-13 00:00:00,19.49,9.34,21.5,80.04,44.37,20.49,35.78,942.3,29.67 -2003-05-14 00:00:00,19.27,9.27,21.55,78.91,44.25,20.2,35.7,939.28,29.41 -2003-05-15 00:00:00,19.31,9.36,21.45,79.97,44.32,20.33,36.03,946.67,29.47 -2003-05-16 00:00:00,19.29,9.4,20.98,79.16,44.99,20.16,35.64,944.3,29.61 -2003-05-19 00:00:00,18.65,9.05,20.75,76.9,43.86,19.52,35.38,920.77,29.26 -2003-05-20 00:00:00,18.8,8.9,20.89,76.3,43.35,19.42,35.39,919.73,29.5 -2003-05-21 00:00:00,19.45,8.93,20.79,76.66,42.91,18.94,35.64,923.42,29.89 -2003-05-22 00:00:00,20.13,9.12,20.89,76.58,42.86,19.05,36.0,931.87,30.02 -2003-05-23 00:00:00,20.23,9.16,20.82,75.85,42.63,19.09,35.86,933.22,30.05 -2003-05-27 00:00:00,20.72,9.44,21.32,78.01,42.89,19.54,36.37,951.48,30.66 -2003-05-28 00:00:00,20.67,9.14,21.29,77.9,43.08,19.24,35.85,953.22,30.44 -2003-05-29 00:00:00,20.39,9.05,21.28,77.71,42.87,19.24,36.0,949.64,30.04 -2003-05-30 00:00:00,20.89,8.98,21.62,78.32,43.64,19.4,36.38,963.59,30.4 -2003-06-02 00:00:00,21.47,8.73,21.84,77.69,42.73,19.43,36.3,967.0,30.55 -2003-06-03 00:00:00,21.28,8.65,21.88,74.57,43.24,19.61,36.41,971.56,30.88 -2003-06-04 00:00:00,22.05,8.8,22.11,74.95,43.4,19.61,36.93,986.24,31.23 -2003-06-05 00:00:00,21.93,8.82,22.43,72.86,41.77,18.99,36.65,990.14,31.03 -2003-06-06 00:00:00,22.01,8.57,22.82,71.21,42.35,18.66,36.46,987.76,31.18 -2003-06-09 00:00:00,21.64,8.4,22.7,72.95,42.33,18.72,36.23,975.93,31.28 -2003-06-10 00:00:00,22.02,8.59,23.04,72.69,42.26,19.46,36.53,984.84,31.35 -2003-06-11 00:00:00,22.13,8.73,23.33,74.7,42.55,19.61,36.7,997.48,31.9 -2003-06-12 00:00:00,22.19,8.89,23.4,74.68,42.77,19.7,36.84,998.51,31.9 -2003-06-13 00:00:00,21.71,8.71,23.09,73.61,42.2,19.43,36.96,988.61,31.68 -2003-06-16 00:00:00,22.3,9.14,23.61,75.17,43.11,20.02,37.59,1010.74,31.99 -2003-06-17 00:00:00,22.58,9.1,23.5,74.99,43.97,20.47,37.08,1011.66,31.46 -2003-06-18 00:00:00,22.58,9.56,23.15,75.35,44.12,20.55,37.14,1010.09,31.18 -2003-06-19 00:00:00,22.36,9.57,22.49,75.21,43.69,20.55,36.85,994.7,30.8 -2003-06-20 00:00:00,22.27,9.6,22.6,75.54,43.72,20.76,36.7,995.69,30.81 -2003-06-23 00:00:00,21.28,9.53,22.5,74.0,42.83,20.32,36.49,981.64,30.85 -2003-06-24 00:00:00,21.18,9.39,22.54,74.4,42.23,20.26,36.3,983.45,30.82 -2003-06-25 00:00:00,20.8,9.55,22.04,73.38,42.13,19.91,35.98,975.32,30.62 -2003-06-26 00:00:00,21.42,9.65,22.1,75.04,41.99,20.3,36.48,985.82,30.65 -2003-06-27 00:00:00,21.29,9.36,21.7,74.21,41.38,20.21,36.22,976.22,30.37 -2003-06-30 00:00:00,21.64,9.53,21.74,73.39,41.51,20.21,36.76,974.5,29.99 -2003-07-01 00:00:00,21.64,9.55,21.7,74.36,42.09,20.62,36.67,982.32,30.22 -2003-07-02 00:00:00,21.67,9.64,21.69,75.38,42.47,21.19,36.73,993.75,30.3 -2003-07-03 00:00:00,21.47,9.56,21.64,74.68,42.54,20.89,36.37,985.7,30.12 -2003-07-07 00:00:00,21.82,9.94,22.19,76.58,42.54,21.62,36.65,1004.42,30.11 -2003-07-08 00:00:00,21.91,10.2,21.84,76.73,42.14,21.84,37.27,1007.84,29.77 -2003-07-09 00:00:00,21.62,9.94,21.52,76.03,41.69,21.66,36.8,1002.21,29.95 -2003-07-10 00:00:00,21.18,9.79,21.37,74.75,41.15,21.22,38.79,988.7,29.65 -2003-07-11 00:00:00,21.45,9.93,21.32,75.52,41.65,21.53,39.17,998.14,29.73 -2003-07-14 00:00:00,21.31,9.95,21.26,75.99,43.03,21.6,38.88,1003.86,29.48 -2003-07-15 00:00:00,21.01,9.81,20.98,76.9,42.19,21.5,39.23,1000.42,29.39 -2003-07-16 00:00:00,20.88,9.94,20.76,77.16,42.23,21.7,39.45,994.09,29.16 -2003-07-17 00:00:00,20.63,10.45,20.54,74.13,41.97,21.04,38.64,981.73,29.4 -2003-07-18 00:00:00,20.96,10.43,21.06,74.48,42.34,21.2,39.09,993.32,29.97 -2003-07-21 00:00:00,20.53,10.31,20.59,73.39,41.25,20.53,38.88,978.8,29.55 -2003-07-22 00:00:00,21.11,10.4,20.78,72.81,41.56,20.8,38.87,988.11,29.83 -2003-07-23 00:00:00,21.77,10.4,20.79,73.21,41.91,20.85,38.83,988.61,29.79 -2003-07-24 00:00:00,21.93,10.26,20.8,72.51,41.51,20.5,38.55,981.6,29.44 -2003-07-25 00:00:00,22.67,10.77,21.55,74.32,41.93,21.2,38.93,998.68,29.87 -2003-07-28 00:00:00,22.86,10.49,21.51,73.43,41.32,20.98,38.31,996.52,29.86 -2003-07-29 00:00:00,22.86,10.36,21.15,72.77,40.65,20.87,38.0,989.28,29.59 -2003-07-30 00:00:00,22.87,10.14,21.2,72.02,41.0,20.68,38.29,987.49,29.5 -2003-07-31 00:00:00,23.57,10.54,21.56,72.28,41.58,20.82,38.06,990.31,29.71 -2003-08-01 00:00:00,23.01,10.36,21.58,72.3,40.49,20.63,37.46,980.15,29.51 -2003-08-04 00:00:00,23.23,10.6,21.59,72.17,40.63,20.64,37.22,982.82,29.74 -2003-08-05 00:00:00,22.76,10.19,21.08,71.03,39.97,20.23,36.88,965.46,29.52 -2003-08-06 00:00:00,22.57,9.81,20.98,71.09,40.31,20.22,36.98,967.08,29.86 -2003-08-07 00:00:00,22.62,9.97,21.29,71.92,41.59,20.27,37.17,974.12,30.27 -2003-08-08 00:00:00,22.9,9.82,21.29,72.09,41.55,20.17,37.55,977.59,30.5 -2003-08-11 00:00:00,23.21,9.83,21.44,72.22,41.49,20.19,37.35,980.59,30.71 -2003-08-12 00:00:00,23.13,9.85,21.48,72.66,41.16,20.29,37.67,990.35,30.87 -2003-08-13 00:00:00,23.06,10.09,21.24,72.38,40.94,20.18,37.15,984.03,30.69 -2003-08-14 00:00:00,23.73,9.98,21.64,72.7,40.95,20.21,37.17,990.51,31.06 -2003-08-15 00:00:00,23.64,9.85,21.82,72.91,41.18,20.14,37.37,990.67,30.97 -2003-08-18 00:00:00,24.05,10.17,22.59,74.45,40.67,20.26,37.42,999.74,31.05 -2003-08-19 00:00:00,23.94,10.16,22.63,73.85,40.38,20.99,36.93,1002.35,30.84 -2003-08-20 00:00:00,24.12,10.51,22.33,74.03,40.36,20.85,36.51,1000.3,30.95 -2003-08-21 00:00:00,24.4,10.84,22.86,73.85,39.85,20.69,36.36,1003.27,31.16 -2003-08-22 00:00:00,24.01,10.44,22.65,73.96,39.96,20.67,35.95,993.06,30.72 -2003-08-25 00:00:00,23.72,10.43,22.63,73.06,39.99,20.89,36.11,993.71,30.92 -2003-08-26 00:00:00,23.68,10.52,22.65,73.54,40.07,20.95,36.41,996.73,30.97 -2003-08-27 00:00:00,23.57,10.74,22.55,73.09,39.74,20.83,36.37,996.79,31.32 -2003-08-28 00:00:00,24.2,11.1,22.5,73.0,39.64,20.9,36.98,1002.84,31.58 -2003-08-29 00:00:00,24.38,11.31,22.42,73.1,40.0,20.91,36.79,1008.01,31.7 -2003-09-02 00:00:00,24.43,11.43,23.08,76.44,40.33,21.49,37.12,1021.99,31.93 -2003-09-03 00:00:00,24.15,11.48,23.59,76.95,40.53,22.31,37.14,1026.27,32.02 -2003-09-04 00:00:00,23.97,11.41,23.74,78.36,41.24,22.41,36.98,1027.97,32.09 -2003-09-05 00:00:00,23.89,11.25,23.53,77.5,40.74,22.37,36.62,1021.39,31.93 -2003-09-08 00:00:00,24.07,11.37,23.79,79.42,41.38,22.74,37.03,1031.64,32.35 -2003-09-09 00:00:00,24.38,11.19,23.62,79.71,41.34,22.37,36.8,1023.17,32.05 -2003-09-10 00:00:00,23.83,11.09,23.52,78.3,41.98,21.72,37.08,1010.92,31.95 -2003-09-11 00:00:00,24.09,11.28,23.87,78.37,42.15,21.95,37.08,1016.42,31.95 -2003-09-12 00:00:00,24.9,11.55,23.9,79.06,41.65,22.34,37.46,1018.63,31.73 -2003-09-15 00:00:00,24.36,11.1,23.8,78.88,41.01,22.36,37.43,1014.81,31.54 -2003-09-16 00:00:00,24.02,11.18,24.21,80.48,41.02,22.78,38.0,1029.32,31.71 -2003-09-17 00:00:00,23.91,11.06,24.05,80.79,40.51,22.47,37.62,1025.97,30.98 -2003-09-18 00:00:00,24.15,11.44,24.34,82.01,40.93,23.26,37.91,1039.58,31.18 -2003-09-19 00:00:00,24.28,11.29,24.21,83.15,40.58,23.62,37.94,1036.3,31.11 -2003-09-22 00:00:00,23.61,11.04,23.8,81.46,40.48,22.92,37.56,1022.82,30.88 -2003-09-23 00:00:00,23.6,11.22,23.93,81.42,40.35,23.34,37.88,1029.03,31.16 -2003-09-24 00:00:00,23.43,10.66,23.36,79.69,39.89,22.44,37.55,1009.38,31.03 -2003-09-25 00:00:00,23.18,10.22,23.17,79.7,39.95,22.26,37.73,1003.27,31.24 -2003-09-26 00:00:00,22.77,10.35,22.79,79.38,39.67,22.22,37.83,996.85,30.93 -2003-09-29 00:00:00,23.35,10.65,23.17,79.73,40.22,22.73,38.32,1006.58,31.13 -2003-09-30 00:00:00,22.33,10.36,22.74,78.73,39.95,21.92,38.0,995.97,30.78 -2003-10-01 00:00:00,22.78,10.4,23.37,80.54,40.55,22.48,38.7,1018.22,31.41 -2003-10-02 00:00:00,23.16,10.28,23.46,80.29,40.58,22.47,38.89,1020.24,31.58 -2003-10-03 00:00:00,24.03,10.85,23.51,80.79,40.42,22.93,39.13,1029.85,31.74 -2003-10-06 00:00:00,24.13,11.15,23.49,81.28,40.46,23.01,39.38,1034.35,32.03 -2003-10-07 00:00:00,24.06,11.61,23.38,81.74,40.41,22.97,39.3,1039.25,32.24 -2003-10-08 00:00:00,24.47,11.53,23.04,82.59,40.16,22.72,39.63,1033.78,31.99 -2003-10-09 00:00:00,25.33,11.73,22.98,82.41,39.84,22.82,39.78,1038.73,31.91 -2003-10-10 00:00:00,25.37,11.84,22.37,82.6,39.72,22.79,39.8,1038.06,32.21 -2003-10-13 00:00:00,25.7,12.18,22.07,83.08,40.16,22.69,40.07,1045.35,32.36 -2003-10-14 00:00:00,26.23,12.27,22.34,82.65,41.08,22.61,40.2,1049.48,32.58 -2003-10-15 00:00:00,26.25,12.41,22.01,82.67,40.74,23.05,39.72,1046.76,32.37 -2003-10-16 00:00:00,26.3,11.62,22.14,79.58,40.89,23.17,39.81,1050.07,32.72 -2003-10-17 00:00:00,25.71,11.38,21.78,79.54,40.66,22.94,39.7,1039.32,32.51 -2003-10-20 00:00:00,25.78,11.61,21.95,79.33,40.84,23.27,39.92,1044.68,32.48 -2003-10-21 00:00:00,25.72,11.59,22.03,79.27,41.02,23.27,39.69,1046.03,32.25 -2003-10-22 00:00:00,25.31,11.38,21.63,78.85,40.26,22.9,39.56,1030.36,31.41 -2003-10-23 00:00:00,25.22,11.49,21.66,78.57,40.58,22.92,39.81,1033.77,31.62 -2003-10-24 00:00:00,24.89,11.3,21.59,78.82,40.62,21.1,39.78,1028.91,31.83 -2003-10-27 00:00:00,25.6,11.3,21.53,78.9,40.27,21.33,39.44,1031.13,31.74 -2003-10-28 00:00:00,26.0,11.86,21.76,80.13,40.77,21.56,40.21,1046.79,31.95 -2003-10-29 00:00:00,26.71,11.85,21.99,79.64,39.91,21.2,39.9,1048.11,31.79 -2003-10-30 00:00:00,27.44,11.55,22.03,79.44,39.91,20.71,39.8,1046.94,30.53 -2003-10-31 00:00:00,26.94,11.44,22.13,79.76,40.6,20.72,39.65,1050.71,30.76 -2003-11-03 00:00:00,27.47,11.57,21.97,79.94,40.16,21.15,39.65,1059.02,30.84 -2003-11-04 00:00:00,27.34,11.45,21.86,79.46,39.65,20.67,39.59,1053.25,30.54 -2003-11-05 00:00:00,27.41,11.52,21.69,78.88,39.65,20.69,39.28,1051.81,30.3 -2003-11-06 00:00:00,27.6,11.56,21.69,79.78,39.66,20.8,39.77,1058.05,30.21 -2003-11-07 00:00:00,28.27,11.25,21.45,78.82,39.37,20.69,39.37,1053.21,30.11 -2003-11-10 00:00:00,27.5,10.95,21.49,80.32,39.31,20.61,39.31,1047.11,30.28 -2003-11-11 00:00:00,26.94,10.77,21.44,79.8,39.59,20.45,39.74,1046.57,30.53 -2003-11-12 00:00:00,28.05,11.16,21.89,80.99,39.93,20.6,39.85,1058.53,30.5 -2003-11-13 00:00:00,28.41,11.21,21.62,81.34,40.61,20.37,39.38,1058.41,30.71 -2003-11-14 00:00:00,27.76,10.73,21.27,80.59,42.25,20.22,39.24,1050.35,30.48 -2003-11-17 00:00:00,27.95,10.56,21.21,80.19,41.88,19.94,39.52,1043.63,30.15 -2003-11-18 00:00:00,27.65,10.2,21.69,79.43,42.1,19.94,39.13,1034.15,29.77 -2003-11-19 00:00:00,27.5,10.21,22.48,79.83,42.36,20.1,39.75,1042.44,30.01 -2003-11-20 00:00:00,26.9,10.19,22.08,78.93,41.74,19.9,39.19,1033.65,29.9 -2003-11-21 00:00:00,26.89,10.14,21.79,79.15,41.24,19.91,39.39,1035.28,29.93 -2003-11-24 00:00:00,27.17,10.57,21.93,80.07,41.73,20.4,39.8,1052.08,30.11 -2003-11-25 00:00:00,27.73,10.34,22.05,79.86,41.09,20.14,39.59,1053.89,30.33 -2003-11-26 00:00:00,27.96,10.36,21.95,80.29,40.28,20.18,39.76,1058.45,30.72 -2003-11-28 00:00:00,28.13,10.45,21.87,80.85,39.96,20.38,39.9,1058.2,30.65 -2003-12-01 00:00:00,29.09,10.85,22.14,81.27,40.12,20.49,40.38,1070.12,30.82 -2003-12-02 00:00:00,29.28,10.77,22.49,81.04,39.68,20.34,39.91,1066.62,30.91 -2003-12-03 00:00:00,29.56,10.52,22.52,80.64,39.85,20.35,39.55,1064.73,30.94 -2003-12-04 00:00:00,30.4,10.57,22.24,81.64,39.98,20.77,39.92,1069.72,31.35 -2003-12-05 00:00:00,30.0,10.43,22.2,80.94,39.85,20.6,40.21,1061.5,31.15 -2003-12-08 00:00:00,30.46,10.52,22.4,81.44,40.41,20.8,40.01,1069.3,31.67 -2003-12-09 00:00:00,29.98,10.23,22.55,80.93,40.54,20.91,39.3,1060.18,31.87 -2003-12-10 00:00:00,28.92,10.19,22.67,81.91,40.73,21.08,39.02,1059.05,32.0 -2003-12-11 00:00:00,29.71,10.6,23.19,82.51,40.53,21.1,39.0,1071.21,32.1 -2003-12-12 00:00:00,29.87,10.44,22.97,82.79,40.03,21.13,39.0,1074.14,32.23 -2003-12-15 00:00:00,29.96,10.09,23.14,82.25,40.09,21.2,39.41,1068.04,32.01 -2003-12-16 00:00:00,30.0,10.06,23.38,83.92,40.06,21.45,39.43,1075.13,32.58 -2003-12-17 00:00:00,30.54,9.94,23.44,83.4,40.0,21.44,39.22,1076.48,32.92 -2003-12-18 00:00:00,31.2,10.02,23.53,82.81,40.5,21.72,39.22,1089.18,33.37 -2003-12-19 00:00:00,31.98,9.85,23.56,83.17,40.61,21.69,39.24,1088.66,33.53 -2003-12-22 00:00:00,32.34,9.93,23.65,83.4,40.92,21.55,39.09,1092.94,33.42 -2003-12-23 00:00:00,32.05,9.9,23.72,82.86,40.97,21.52,38.67,1096.02,33.66 -2003-12-24 00:00:00,31.74,10.2,23.57,82.4,41.12,21.44,38.42,1094.04,33.73 -2003-12-26 00:00:00,32.15,10.39,23.43,82.96,41.03,21.57,38.66,1095.89,33.91 -2003-12-29 00:00:00,33.37,10.57,23.67,83.51,41.54,21.77,38.9,1109.48,34.36 -2003-12-30 00:00:00,32.68,10.64,23.59,82.72,41.64,21.82,38.78,1109.64,34.45 -2003-12-31 00:00:00,32.59,10.69,23.79,82.76,41.87,21.7,38.78,1111.92,34.72 -2004-01-02 00:00:00,32.2,10.64,23.89,81.75,41.87,21.76,38.65,1108.48,34.41 -2004-01-05 00:00:00,33.25,11.09,24.25,83.09,42.12,22.31,39.31,1122.22,35.21 -2004-01-06 00:00:00,33.01,11.05,24.09,83.1,41.93,22.39,39.56,1123.67,34.97 -2004-01-07 00:00:00,32.76,11.3,24.32,82.85,41.95,22.36,39.05,1126.33,34.72 -2004-01-08 00:00:00,33.15,11.68,24.76,83.08,42.14,22.33,38.27,1131.92,34.63 -2004-01-09 00:00:00,31.94,11.5,24.42,81.45,41.66,21.93,38.08,1121.86,34.12 -2004-01-12 00:00:00,30.84,11.86,24.64,81.75,42.46,21.86,38.13,1127.23,34.6 -2004-01-13 00:00:00,30.14,12.06,24.27,80.1,42.35,21.75,37.97,1121.22,34.45 -2004-01-14 00:00:00,30.84,12.1,24.57,80.65,42.15,21.96,38.05,1130.52,34.45 -2004-01-15 00:00:00,30.42,11.43,24.57,83.96,42.02,21.83,37.85,1132.05,34.11 -2004-01-16 00:00:00,30.05,11.36,25.61,85.12,40.89,22.05,37.76,1139.83,34.3 -2004-01-20 00:00:00,31.06,11.36,25.61,86.71,41.74,22.28,38.31,1138.77,34.62 -2004-01-21 00:00:00,31.13,11.31,25.99,87.24,42.6,22.44,38.42,1147.62,35.08 -2004-01-22 00:00:00,31.24,11.09,25.74,87.08,43.0,22.21,38.72,1143.94,34.96 -2004-01-23 00:00:00,30.36,11.28,25.5,87.42,42.96,22.58,38.72,1141.55,34.75 -2004-01-26 00:00:00,30.31,11.51,26.21,89.16,43.36,22.83,38.92,1155.37,35.18 -2004-01-27 00:00:00,30.24,11.53,26.25,88.23,43.19,22.4,38.64,1144.05,34.88 -2004-01-28 00:00:00,28.97,11.26,25.92,86.96,43.09,21.97,38.47,1128.48,34.56 -2004-01-29 00:00:00,28.55,11.34,26.13,87.52,43.68,22.13,39.12,1134.11,35.12 -2004-01-30 00:00:00,29.31,11.28,25.82,88.61,43.3,21.92,39.31,1131.13,34.54 -2004-02-02 00:00:00,28.71,11.16,25.82,88.75,43.39,21.72,39.88,1135.26,34.46 -2004-02-03 00:00:00,29.24,11.13,25.5,89.3,43.64,21.64,39.64,1136.03,34.22 -2004-02-04 00:00:00,29.28,10.9,25.48,89.47,44.16,21.41,39.6,1126.52,34.17 -2004-02-05 00:00:00,29.6,11.21,25.74,88.28,44.17,21.37,40.39,1128.59,34.19 -2004-02-06 00:00:00,30.21,11.35,25.48,88.5,43.89,21.47,41.77,1142.76,34.3 -2004-02-09 00:00:00,30.09,11.34,25.25,88.5,43.86,21.33,41.54,1139.81,34.7 -2004-02-10 00:00:00,30.61,11.49,24.95,89.09,44.12,21.42,42.25,1145.54,35.01 -2004-02-11 00:00:00,32.2,11.9,25.4,89.41,44.3,21.52,42.51,1157.76,35.72 -2004-02-12 00:00:00,31.78,11.86,25.23,88.82,44.45,21.37,42.36,1152.11,35.71 -2004-02-13 00:00:00,31.88,11.5,25.12,89.18,44.15,21.08,42.03,1145.81,35.71 -2004-02-17 00:00:00,32.51,11.58,25.38,88.88,44.3,21.4,42.43,1156.99,35.98 -2004-02-18 00:00:00,32.55,11.63,25.15,88.03,43.87,21.22,42.65,1151.82,35.62 -2004-02-19 00:00:00,32.51,11.23,25.03,87.48,43.61,20.98,42.7,1147.06,35.74 -2004-02-20 00:00:00,31.72,11.2,25.11,87.04,43.39,21.06,43.05,1144.11,35.81 -2004-02-23 00:00:00,32.02,11.1,25.66,85.83,43.19,21.1,43.33,1140.99,36.28 -2004-02-24 00:00:00,32.09,11.18,25.55,86.57,44.11,21.31,43.34,1139.09,36.05 -2004-02-25 00:00:00,31.7,11.4,25.31,86.35,44.01,21.17,43.34,1143.67,36.34 -2004-02-26 00:00:00,32.01,11.52,25.24,86.57,43.94,21.01,43.04,1144.91,36.05 -2004-02-27 00:00:00,32.27,11.96,25.12,86.31,43.89,21.03,43.17,1144.94,35.93 -2004-03-01 00:00:00,33.07,12.01,25.33,86.8,43.77,21.17,43.39,1155.97,36.23 -2004-03-02 00:00:00,32.48,11.9,25.1,86.6,43.04,20.92,43.51,1149.1,35.82 -2004-03-03 00:00:00,31.88,11.96,25.38,86.62,43.33,20.91,43.62,1151.03,35.7 -2004-03-04 00:00:00,31.95,12.58,25.42,86.21,43.17,20.91,43.5,1154.87,35.57 -2004-03-05 00:00:00,32.01,13.37,25.31,86.27,43.25,20.89,43.44,1156.86,36.2 -2004-03-08 00:00:00,31.37,13.0,24.59,84.6,43.23,20.48,43.49,1147.2,36.26 -2004-03-09 00:00:00,30.7,13.55,24.38,84.55,42.88,20.39,43.88,1140.58,36.45 -2004-03-10 00:00:00,29.46,13.84,24.02,83.24,42.15,20.11,43.59,1123.89,36.15 -2004-03-11 00:00:00,29.52,13.57,23.5,81.58,41.61,19.89,43.14,1106.78,35.23 -2004-03-12 00:00:00,30.25,13.78,23.64,83.45,41.28,20.12,43.01,1120.57,35.81 -2004-03-15 00:00:00,29.38,13.23,23.41,82.13,41.17,19.95,42.85,1104.49,35.6 -2004-03-16 00:00:00,29.6,12.91,23.56,82.69,41.59,19.96,42.72,1110.7,35.85 -2004-03-17 00:00:00,30.03,13.1,23.76,83.53,41.42,19.92,42.91,1123.75,35.99 -2004-03-18 00:00:00,29.98,12.84,23.73,83.05,41.5,19.73,42.91,1122.32,36.18 -2004-03-19 00:00:00,30.02,12.93,23.28,81.95,40.75,19.53,42.5,1109.78,35.36 -2004-03-22 00:00:00,29.4,12.93,22.72,81.41,40.3,19.42,42.38,1095.4,34.88 -2004-03-23 00:00:00,29.14,12.65,22.56,81.68,40.42,19.15,42.52,1093.95,34.73 -2004-03-24 00:00:00,28.53,12.75,22.54,82.08,40.42,19.35,42.38,1091.33,34.17 -2004-03-25 00:00:00,29.71,13.44,22.94,82.64,40.87,19.97,42.74,1109.19,34.3 -2004-03-26 00:00:00,29.84,13.52,23.25,82.98,40.81,19.84,42.61,1108.06,34.71 -2004-03-29 00:00:00,29.83,13.95,23.55,82.9,41.17,20.07,43.56,1122.47,35.01 -2004-03-30 00:00:00,30.19,13.96,23.71,82.57,41.05,19.98,44.46,1127.0,35.4 -2004-03-31 00:00:00,29.88,13.52,23.58,82.14,41.29,19.76,44.93,1126.21,35.44 -2004-04-01 00:00:00,29.83,13.56,23.65,82.62,41.13,19.88,45.18,1132.17,35.38 -2004-04-02 00:00:00,30.92,13.75,23.99,84.26,41.67,20.49,44.93,1141.81,35.71 -2004-04-05 00:00:00,30.91,14.16,24.4,84.24,41.94,20.57,45.46,1150.57,36.0 -2004-04-06 00:00:00,31.44,13.91,24.35,83.81,41.91,20.45,45.65,1148.16,35.95 -2004-04-07 00:00:00,29.84,13.65,24.26,83.25,41.83,20.29,45.76,1140.53,35.7 -2004-04-08 00:00:00,29.16,13.77,24.26,83.29,41.41,20.2,45.68,1139.32,36.17 -2004-04-12 00:00:00,29.51,14.02,24.43,83.84,41.68,20.3,45.9,1145.2,36.73 -2004-04-13 00:00:00,28.79,13.47,23.95,83.22,41.84,20.18,45.68,1129.44,36.49 -2004-04-14 00:00:00,28.44,13.32,23.55,83.81,42.82,20.22,45.82,1128.17,36.89 -2004-04-15 00:00:00,28.42,14.65,23.76,83.58,44.39,19.99,45.73,1128.84,37.22 -2004-04-16 00:00:00,29.28,14.59,24.13,82.54,44.07,19.95,45.72,1134.61,37.37 -2004-04-19 00:00:00,29.01,14.18,24.02,82.23,43.9,20.24,45.95,1135.82,37.26 -2004-04-20 00:00:00,28.49,13.86,23.54,81.08,43.25,20.08,45.23,1118.15,36.89 -2004-04-21 00:00:00,27.34,13.86,23.72,81.63,43.7,20.18,45.62,1124.09,36.6 -2004-04-22 00:00:00,28.52,13.89,23.83,81.16,43.67,20.57,45.8,1139.93,36.89 -2004-04-23 00:00:00,28.17,13.85,23.71,81.64,43.7,21.83,45.85,1140.6,36.61 -2004-04-26 00:00:00,27.85,13.56,23.75,80.88,43.88,21.6,45.63,1135.53,36.65 -2004-04-27 00:00:00,27.82,13.47,23.6,81.49,44.26,21.58,45.59,1138.11,37.28 -2004-04-28 00:00:00,26.71,13.23,23.19,80.87,44.12,21.06,44.97,1122.41,36.74 -2004-04-29 00:00:00,26.52,13.39,23.21,79.68,44.04,20.99,45.15,1113.89,36.25 -2004-04-30 00:00:00,26.48,12.89,23.14,78.86,43.99,20.72,45.47,1107.3,36.26 -2004-05-03 00:00:00,26.3,13.03,23.41,78.73,44.72,20.89,45.78,1117.49,37.22 -2004-05-04 00:00:00,26.96,13.07,23.52,79.6,44.61,20.87,45.38,1119.55,37.08 -2004-05-05 00:00:00,26.8,13.32,23.55,79.57,44.03,20.85,45.49,1121.53,37.48 -2004-05-06 00:00:00,26.4,13.29,23.54,79.19,44.65,20.71,45.77,1113.99,37.35 -2004-05-07 00:00:00,25.22,13.34,23.18,79.04,45.02,20.44,45.36,1098.7,36.85 -2004-05-10 00:00:00,25.5,13.14,23.2,77.87,45.14,20.56,44.89,1087.12,35.83 -2004-05-11 00:00:00,25.84,13.57,23.37,78.09,44.89,20.57,44.87,1095.45,36.53 -2004-05-12 00:00:00,26.1,13.65,23.48,77.8,44.97,20.57,44.76,1097.28,36.88 -2004-05-13 00:00:00,25.9,13.6,23.45,78.14,44.72,20.69,44.35,1096.44,36.64 -2004-05-14 00:00:00,25.77,13.53,23.3,77.44,44.62,20.5,44.85,1095.7,37.11 -2004-05-17 00:00:00,24.84,13.32,23.15,76.66,44.76,20.25,44.66,1084.1,36.92 -2004-05-18 00:00:00,25.74,13.53,23.51,77.13,44.71,20.48,44.43,1091.49,36.61 -2004-05-19 00:00:00,25.58,13.23,23.37,78.02,44.42,20.31,44.14,1088.68,36.53 -2004-05-20 00:00:00,25.36,13.35,23.35,78.35,44.67,20.4,44.89,1089.19,36.64 -2004-05-21 00:00:00,25.51,13.56,23.68,78.09,44.96,20.53,44.61,1093.56,36.53 -2004-05-24 00:00:00,26.14,13.67,23.78,78.06,44.45,20.42,44.57,1095.41,36.7 -2004-05-25 00:00:00,27.15,14.2,24.11,79.5,45.3,20.69,44.91,1113.05,37.58 -2004-05-26 00:00:00,26.83,14.26,24.17,79.18,45.4,20.72,44.47,1114.94,37.35 -2004-05-27 00:00:00,26.93,14.09,24.15,79.4,45.66,20.76,44.67,1121.28,37.19 -2004-05-28 00:00:00,27.09,14.03,24.04,79.4,45.59,20.8,44.53,1120.68,37.09 -2004-06-01 00:00:00,27.05,14.03,23.98,78.98,45.64,20.7,44.61,1121.2,37.48 -2004-06-02 00:00:00,27.04,14.46,24.02,78.85,45.99,20.72,45.28,1124.99,37.54 -2004-06-03 00:00:00,26.32,14.2,23.95,78.29,46.31,20.53,45.03,1116.64,37.35 -2004-06-04 00:00:00,26.5,14.39,24.13,78.48,46.14,20.57,45.34,1122.5,37.19 -2004-06-07 00:00:00,27.11,14.9,24.47,79.44,46.42,20.95,45.62,1140.42,37.73 -2004-06-08 00:00:00,27.35,15.18,24.31,80.7,46.62,21.09,45.85,1142.18,37.64 -2004-06-09 00:00:00,26.72,15.1,24.09,80.74,46.45,20.99,45.75,1131.33,37.26 -2004-06-10 00:00:00,26.92,15.37,24.33,81.07,46.7,21.22,46.04,1136.47,37.72 -2004-06-14 00:00:00,26.5,15.06,24.39,80.73,46.66,21.33,45.8,1125.29,37.6 -2004-06-15 00:00:00,26.95,15.35,24.57,81.15,46.0,21.73,46.24,1132.01,37.8 -2004-06-16 00:00:00,27.01,16.37,24.81,81.0,45.73,21.66,46.27,1133.56,38.36 -2004-06-17 00:00:00,27.09,16.41,25.0,81.06,45.46,22.02,46.04,1132.05,38.39 -2004-06-18 00:00:00,28.15,16.45,25.17,80.72,45.21,22.48,46.09,1135.02,38.57 -2004-06-21 00:00:00,27.68,16.17,25.18,80.21,45.24,22.48,46.0,1130.3,38.36 -2004-06-22 00:00:00,27.71,16.5,25.38,80.68,45.31,22.43,46.55,1134.41,38.5 -2004-06-23 00:00:00,28.27,16.85,25.82,81.37,45.53,22.44,46.5,1144.06,38.99 -2004-06-24 00:00:00,28.43,16.59,25.86,80.65,45.57,22.51,46.19,1140.65,38.82 -2004-06-25 00:00:00,28.98,16.85,25.01,80.26,44.6,22.65,45.25,1134.43,37.95 -2004-06-28 00:00:00,28.45,16.25,25.11,79.51,44.99,22.42,45.39,1133.35,38.06 -2004-06-29 00:00:00,28.51,16.25,25.13,79.13,45.62,22.59,45.0,1136.2,38.22 -2004-06-30 00:00:00,28.59,16.27,25.18,79.0,45.58,22.64,45.15,1140.84,38.08 -2004-07-01 00:00:00,27.95,16.15,24.88,78.42,45.39,22.7,44.87,1128.94,38.24 -2004-07-02 00:00:00,27.85,15.54,24.61,78.01,45.3,22.65,44.61,1125.38,38.35 -2004-07-06 00:00:00,27.68,15.48,24.74,76.81,44.97,22.21,44.83,1116.21,38.68 -2004-07-07 00:00:00,28.36,15.19,24.88,76.49,44.63,22.28,44.71,1118.33,38.91 -2004-07-08 00:00:00,28.3,15.07,24.64,74.97,44.81,21.91,44.56,1109.11,38.86 -2004-07-09 00:00:00,28.06,15.02,25.0,75.19,45.0,22.09,44.45,1112.81,38.98 -2004-07-12 00:00:00,27.84,14.57,25.34,75.37,44.92,22.11,44.47,1114.35,38.97 -2004-07-13 00:00:00,27.86,14.61,25.52,76.41,45.32,21.88,44.56,1115.14,38.77 -2004-07-14 00:00:00,28.0,14.79,25.75,75.4,45.76,22.3,44.75,1111.47,38.99 -2004-07-15 00:00:00,28.46,16.47,25.93,75.3,45.3,22.1,43.5,1106.69,38.86 -2004-07-16 00:00:00,28.52,16.1,25.72,75.54,46.48,21.79,43.82,1101.39,39.3 -2004-07-19 00:00:00,28.03,15.98,25.82,76.45,46.16,22.16,43.69,1100.9,39.36 -2004-07-20 00:00:00,27.82,16.1,25.81,77.4,46.08,22.45,43.29,1108.67,39.36 -2004-07-21 00:00:00,26.96,15.81,25.34,76.45,45.62,22.88,42.83,1093.88,38.74 -2004-07-22 00:00:00,26.76,15.84,25.55,77.13,46.03,22.99,42.34,1096.84,38.93 -2004-07-23 00:00:00,26.52,15.35,25.27,76.05,45.62,22.22,42.63,1086.2,38.86 -2004-07-26 00:00:00,26.2,15.63,25.11,76.26,45.36,22.72,43.19,1084.07,38.87 -2004-07-27 00:00:00,26.98,16.22,25.49,76.97,45.54,22.55,42.73,1094.83,38.94 -2004-07-28 00:00:00,27.28,16.14,25.87,76.94,45.57,22.66,42.89,1095.42,39.29 -2004-07-29 00:00:00,27.92,16.32,25.81,77.77,45.39,22.58,41.81,1100.43,39.47 -2004-07-30 00:00:00,27.72,16.17,25.84,78.04,45.23,22.59,41.9,1101.72,39.71 -2004-08-02 00:00:00,27.73,15.79,25.85,77.7,45.44,22.61,42.8,1106.62,39.66 -2004-08-03 00:00:00,27.21,15.65,25.55,76.82,45.36,22.25,42.9,1099.69,40.21 -2004-08-04 00:00:00,27.01,15.9,25.55,77.05,45.48,22.25,43.54,1098.63,39.65 -2004-08-05 00:00:00,26.51,15.69,25.04,76.35,45.19,21.83,43.16,1080.7,39.3 -2004-08-06 00:00:00,26.04,14.89,24.5,74.98,44.68,21.52,42.61,1063.97,38.69 -2004-08-09 00:00:00,25.99,15.15,24.75,75.04,44.59,21.55,42.57,1065.22,39.07 -2004-08-10 00:00:00,26.38,15.76,24.94,76.33,45.0,21.98,42.81,1079.04,38.84 -2004-08-11 00:00:00,26.22,15.51,25.02,75.17,45.83,21.73,43.38,1075.79,38.93 -2004-08-12 00:00:00,25.69,15.19,24.57,73.84,46.07,21.31,42.84,1063.23,38.44 -2004-08-13 00:00:00,25.77,15.42,24.78,75.36,45.68,21.42,42.64,1064.8,38.75 -2004-08-16 00:00:00,26.79,15.39,25.1,75.46,46.14,21.48,42.63,1079.34,38.9 -2004-08-17 00:00:00,27.18,15.44,24.98,75.48,46.51,21.45,42.16,1081.71,38.27 -2004-08-18 00:00:00,27.51,15.87,25.48,76.46,46.91,21.77,42.12,1095.17,38.66 -2004-08-19 00:00:00,27.46,15.35,25.42,76.24,46.7,21.5,42.05,1091.23,38.9 -2004-08-20 00:00:00,28.05,15.4,25.37,76.57,46.92,21.56,41.89,1098.35,39.04 -2004-08-23 00:00:00,27.65,15.54,25.27,76.03,46.93,21.66,41.8,1095.68,38.81 -2004-08-24 00:00:00,27.45,15.98,25.36,76.08,47.02,21.66,41.37,1096.19,38.69 -2004-08-25 00:00:00,27.86,16.52,25.48,76.41,47.43,21.91,41.06,1104.96,38.99 -2004-08-26 00:00:00,28.09,17.33,25.48,76.06,47.31,21.82,41.4,1105.09,39.04 -2004-08-27 00:00:00,28.57,17.17,25.47,76.29,47.47,21.83,41.28,1107.77,39.2 -2004-08-30 00:00:00,28.28,17.06,25.31,75.8,47.33,21.71,41.37,1099.15,38.93 -2004-08-31 00:00:00,28.16,17.25,25.48,76.06,47.79,21.71,41.9,1104.24,39.77 -2004-09-01 00:00:00,28.19,17.93,25.55,75.64,47.53,21.78,41.68,1105.91,40.06 -2004-09-02 00:00:00,28.48,17.83,25.75,75.96,47.48,21.96,42.42,1118.31,40.53 -2004-09-03 00:00:00,28.57,17.61,25.52,75.79,47.58,21.56,42.6,1113.63,40.6 -2004-09-07 00:00:00,28.76,17.88,25.91,76.32,47.59,21.76,42.78,1121.3,40.68 -2004-09-08 00:00:00,28.61,18.17,26.16,77.11,47.93,21.68,41.83,1116.27,40.61 -2004-09-09 00:00:00,28.95,17.85,26.31,77.64,47.3,21.69,42.34,1118.38,40.96 -2004-09-10 00:00:00,26.74,17.93,26.33,77.92,47.35,21.86,42.36,1123.92,40.87 -2004-09-13 00:00:00,26.78,17.8,26.23,77.68,47.83,21.67,42.66,1125.82,40.98 -2004-09-14 00:00:00,26.7,17.75,26.28,77.89,47.99,21.82,42.53,1128.33,40.95 -2004-09-15 00:00:00,26.44,17.6,26.06,77.57,47.85,21.62,41.66,1120.37,40.92 -2004-09-16 00:00:00,26.39,18.17,26.06,77.35,47.81,21.68,41.22,1123.5,41.02 -2004-09-17 00:00:00,26.65,18.57,26.59,77.01,48.13,21.87,41.83,1128.55,41.73 -2004-09-20 00:00:00,26.81,18.85,26.59,76.97,47.64,21.87,41.38,1122.2,41.59 -2004-09-21 00:00:00,27.19,19.0,26.78,76.99,47.62,21.68,41.19,1129.3,42.7 -2004-09-22 00:00:00,27.04,18.46,26.37,75.72,47.13,21.56,40.98,1113.56,42.15 -2004-09-23 00:00:00,27.04,18.64,26.13,75.34,46.52,21.75,40.84,1108.36,41.2 -2004-09-24 00:00:00,27.16,18.65,26.12,75.83,46.51,21.7,40.67,1110.11,41.26 -2004-09-27 00:00:00,27.27,18.76,25.89,75.59,46.5,21.62,40.43,1103.52,41.38 -2004-09-28 00:00:00,28.44,19.02,26.04,75.88,46.97,21.68,40.49,1110.06,41.87 -2004-09-29 00:00:00,28.91,19.34,26.15,76.32,46.91,21.93,40.49,1114.8,41.54 -2004-09-30 00:00:00,29.21,19.38,26.25,77.01,46.33,21.99,40.95,1114.58,41.69 -2004-10-01 00:00:00,29.58,19.33,26.56,77.89,46.88,22.46,42.15,1131.5,42.18 -2004-10-04 00:00:00,29.56,19.4,26.67,78.28,47.09,22.36,41.87,1135.17,42.2 -2004-10-05 00:00:00,29.18,19.68,26.62,78.43,47.26,22.57,41.54,1134.48,42.55 -2004-10-06 00:00:00,29.71,20.32,26.88,79.07,47.5,22.69,41.5,1142.05,43.16 -2004-10-07 00:00:00,29.64,19.81,26.54,78.52,46.0,22.4,41.25,1130.65,42.91 -2004-10-08 00:00:00,29.04,19.53,26.38,77.88,45.5,22.26,41.08,1122.14,43.0 -2004-10-11 00:00:00,29.0,19.3,26.58,77.81,45.54,22.31,41.02,1124.39,42.95 -2004-10-12 00:00:00,28.86,19.15,26.6,77.24,46.74,22.29,40.65,1121.84,42.59 -2004-10-13 00:00:00,27.99,19.88,26.35,76.32,46.48,22.29,40.44,1113.65,41.82 -2004-10-14 00:00:00,28.31,22.49,26.16,76.14,46.49,22.1,40.28,1103.29,42.02 -2004-10-15 00:00:00,28.32,22.75,26.23,76.21,46.54,22.26,40.65,1108.2,42.29 -2004-10-18 00:00:00,28.25,23.88,26.49,77.17,47.15,22.59,41.24,1114.02,42.06 -2004-10-19 00:00:00,27.22,23.71,26.13,80.27,46.56,22.41,41.41,1103.23,41.68 -2004-10-20 00:00:00,27.18,23.74,25.97,79.77,47.3,22.82,41.1,1103.66,42.16 -2004-10-21 00:00:00,27.61,23.97,26.09,79.13,47.53,22.71,41.13,1106.49,42.11 -2004-10-22 00:00:00,27.53,23.7,25.76,78.49,47.12,22.06,40.81,1095.74,42.01 -2004-10-25 00:00:00,27.88,23.77,25.72,79.42,46.95,21.97,40.6,1094.8,42.11 -2004-10-26 00:00:00,28.73,23.99,26.29,79.93,47.07,22.18,40.78,1111.09,42.61 -2004-10-27 00:00:00,29.02,25.15,26.54,80.83,47.52,22.38,41.79,1125.4,42.23 -2004-10-28 00:00:00,28.18,26.09,26.6,80.38,47.72,22.27,41.7,1127.44,41.94 -2004-10-29 00:00:00,28.26,26.2,26.67,80.61,48.02,22.24,41.73,1130.2,42.46 -2004-11-01 00:00:00,28.58,26.23,26.62,80.93,48.07,22.33,41.5,1130.51,42.12 -2004-11-02 00:00:00,27.9,26.75,26.62,81.26,47.74,22.45,41.78,1130.56,41.78 -2004-11-03 00:00:00,28.05,27.66,26.84,81.91,48.9,22.64,42.2,1143.2,42.51 -2004-11-04 00:00:00,29.01,27.23,27.43,82.97,48.71,23.06,43.1,1161.67,43.3 -2004-11-05 00:00:00,29.13,27.36,27.51,83.78,48.68,23.31,43.1,1166.17,43.47 -2004-11-08 00:00:00,29.11,27.19,27.46,84.02,49.22,23.28,42.82,1164.89,43.28 -2004-11-09 00:00:00,28.96,27.02,27.69,84.02,49.21,23.67,42.94,1164.08,42.77 -2004-11-10 00:00:00,28.96,27.38,27.61,84.24,49.45,23.64,43.2,1162.91,43.08 -2004-11-11 00:00:00,29.23,27.65,27.99,85.3,49.85,23.84,43.38,1173.48,43.07 -2004-11-12 00:00:00,29.94,27.75,28.34,85.78,50.41,23.83,43.95,1184.17,43.73 -2004-11-15 00:00:00,29.54,27.62,28.22,86.32,50.54,24.27,43.71,1183.81,43.0 -2004-11-16 00:00:00,29.36,27.47,28.22,85.39,50.44,24.03,43.14,1175.43,42.86 -2004-11-17 00:00:00,29.59,27.45,28.42,85.9,50.33,24.08,43.17,1181.94,43.37 -2004-11-18 00:00:00,29.67,27.69,28.79,85.58,50.51,23.99,43.12,1183.55,43.41 -2004-11-19 00:00:00,29.36,27.58,28.35,84.99,50.03,23.8,42.8,1170.34,43.7 -2004-11-22 00:00:00,29.4,30.67,28.21,85.59,50.3,23.62,43.11,1177.24,44.16 -2004-11-23 00:00:00,29.34,30.64,27.99,85.74,50.06,23.51,43.23,1176.94,44.41 -2004-11-24 00:00:00,29.49,32.03,27.86,85.9,50.01,23.61,43.14,1181.76,44.66 -2004-11-26 00:00:00,30.26,32.28,27.71,85.24,49.96,23.57,43.15,1182.65,44.8 -2004-11-29 00:00:00,30.12,34.22,27.6,85.94,49.75,23.72,42.46,1178.57,44.56 -2004-11-30 00:00:00,29.69,33.53,27.64,84.8,49.85,23.76,42.01,1173.82,44.45 -2004-12-01 00:00:00,29.96,33.9,28.16,86.28,50.57,24.15,42.78,1191.37,44.37 -2004-12-02 00:00:00,29.21,32.6,28.1,86.17,51.03,24.01,43.31,1190.33,43.52 -2004-12-03 00:00:00,28.71,31.34,28.01,87.36,51.16,24.13,43.0,1191.17,43.6 -2004-12-06 00:00:00,28.33,32.89,27.89,87.89,51.1,24.22,42.73,1190.25,43.49 -2004-12-07 00:00:00,27.69,31.44,27.6,86.48,49.92,23.99,42.5,1177.07,43.11 -2004-12-08 00:00:00,27.84,31.64,27.92,86.97,50.54,24.25,43.2,1182.81,43.39 -2004-12-09 00:00:00,28.04,32.0,28.16,87.75,50.67,24.13,43.62,1189.24,43.65 -2004-12-10 00:00:00,28.05,32.58,28.68,86.99,49.79,24.0,43.31,1188.0,43.5 -2004-12-13 00:00:00,28.23,32.46,29.3,86.79,50.11,24.15,43.72,1198.68,43.95 -2004-12-14 00:00:00,27.74,32.65,29.22,87.57,50.77,24.13,43.77,1203.38,43.94 -2004-12-15 00:00:00,27.35,32.63,29.23,87.59,50.33,24.03,44.6,1205.72,43.81 -2004-12-16 00:00:00,27.14,33.3,29.01,87.69,52.44,24.07,44.24,1203.21,43.46 -2004-12-17 00:00:00,26.87,32.49,28.73,86.57,52.54,23.89,43.98,1194.2,43.2 -2004-12-20 00:00:00,26.96,31.36,29.01,86.88,52.12,23.88,43.73,1194.65,44.29 -2004-12-21 00:00:00,27.31,31.84,29.06,87.31,52.02,23.99,44.05,1205.45,44.83 -2004-12-22 00:00:00,27.35,31.88,28.97,87.84,52.31,23.9,44.11,1209.57,44.49 -2004-12-23 00:00:00,27.43,32.01,28.92,87.94,52.56,23.94,43.92,1210.13,45.08 -2004-12-27 00:00:00,27.48,31.58,28.76,87.74,52.5,23.79,43.96,1204.92,44.13 -2004-12-28 00:00:00,27.68,32.09,28.85,88.46,52.69,23.88,44.38,1213.54,44.28 -2004-12-29 00:00:00,27.86,32.22,28.75,88.35,52.5,23.84,44.18,1213.45,44.35 -2004-12-30 00:00:00,27.48,32.4,28.78,88.46,52.52,23.72,44.18,1213.55,44.26 -2004-12-31 00:00:00,27.44,32.2,28.7,88.71,52.41,23.68,44.14,1211.92,44.46 -2005-01-03 00:00:00,27.08,31.65,28.78,87.96,51.98,23.7,43.92,1202.08,43.45 -2005-01-04 00:00:00,26.59,31.97,28.43,87.02,51.82,23.79,43.61,1188.05,43.15 -2005-01-05 00:00:00,26.43,32.25,28.26,86.84,51.78,23.73,43.66,1183.74,42.93 -2005-01-06 00:00:00,26.54,32.28,28.48,86.57,51.93,23.71,43.97,1187.89,43.47 -2005-01-07 00:00:00,26.81,34.62,28.31,86.19,51.74,23.64,44.35,1186.19,43.19 -2005-01-10 00:00:00,26.62,34.48,28.24,86.1,52.15,23.75,45.46,1190.25,43.35 -2005-01-11 00:00:00,25.91,32.28,27.84,85.49,51.97,23.69,45.21,1182.99,43.24 -2005-01-12 00:00:00,25.71,32.73,28.06,85.68,52.33,23.73,45.33,1187.7,43.88 -2005-01-13 00:00:00,25.77,34.9,27.71,84.99,51.21,23.28,44.75,1177.45,43.85 -2005-01-14 00:00:00,26.12,35.1,27.93,84.68,51.82,23.15,44.67,1184.52,44.3 -2005-01-18 00:00:00,26.01,35.33,28.28,85.4,52.09,23.33,45.23,1195.98,44.67 -2005-01-19 00:00:00,25.49,34.94,27.87,83.78,51.92,23.02,45.69,1184.63,44.28 -2005-01-20 00:00:00,25.08,35.23,27.82,83.69,51.64,22.92,45.28,1175.41,43.99 -2005-01-21 00:00:00,25.28,35.24,27.63,83.13,51.11,22.73,45.3,1167.87,43.75 -2005-01-24 00:00:00,25.17,35.38,27.73,82.6,50.82,22.75,45.08,1163.75,44.35 -2005-01-25 00:00:00,24.79,36.03,28.08,82.96,52.66,23.06,45.14,1168.41,44.52 -2005-01-26 00:00:00,25.02,36.12,27.91,82.74,53.43,23.05,45.16,1174.07,44.84 -2005-01-27 00:00:00,25.39,36.32,28.0,82.77,53.07,23.14,45.2,1174.55,44.89 -2005-01-28 00:00:00,25.31,36.99,28.11,83.59,53.4,23.2,45.0,1171.36,44.47 -2005-01-31 00:00:00,25.78,38.45,28.41,84.07,53.47,23.29,45.41,1181.27,44.76 -2005-02-01 00:00:00,25.83,38.76,28.53,84.46,54.06,23.39,45.56,1189.41,46.21 -2005-02-02 00:00:00,25.89,39.81,28.51,84.86,54.54,23.45,45.78,1193.19,46.78 -2005-02-03 00:00:00,25.59,38.9,28.37,84.17,54.25,23.2,45.94,1189.89,47.29 -2005-02-04 00:00:00,25.79,39.42,28.51,85.05,54.74,23.33,46.77,1203.03,47.96 -2005-02-07 00:00:00,26.01,39.47,28.49,85.07,54.92,23.18,46.25,1201.72,48.05 -2005-02-08 00:00:00,26.34,40.45,28.65,84.87,54.82,23.25,46.93,1202.3,48.62 -2005-02-09 00:00:00,25.68,39.37,28.38,83.58,54.7,23.1,46.5,1191.99,48.41 -2005-02-10 00:00:00,25.88,39.18,28.35,83.63,54.65,23.09,46.64,1197.01,49.11 -2005-02-11 00:00:00,26.21,40.6,28.49,84.12,55.28,23.02,46.59,1205.3,48.91 -2005-02-14 00:00:00,26.25,42.31,28.56,84.36,54.78,23.05,46.34,1206.14,49.53 -2005-02-15 00:00:00,26.18,44.21,28.62,85.05,54.71,23.05,46.2,1210.12,49.61 -2005-02-16 00:00:00,26.87,45.06,28.48,85.31,54.56,22.93,46.12,1210.34,50.97 -2005-02-17 00:00:00,27.26,43.9,28.33,84.52,54.24,22.8,45.43,1200.75,50.67 -2005-02-18 00:00:00,27.31,43.4,28.22,84.09,54.31,22.65,45.83,1201.59,51.78 -2005-02-22 00:00:00,26.97,42.65,27.8,83.24,54.01,22.43,44.97,1184.16,50.77 -2005-02-23 00:00:00,27.21,44.12,27.74,83.04,54.29,22.4,45.18,1190.8,51.79 -2005-02-24 00:00:00,27.63,44.47,28.13,83.52,54.69,22.55,45.36,1200.2,53.28 -2005-02-25 00:00:00,27.78,44.49,28.19,83.67,54.96,22.45,45.64,1211.37,55.14 -2005-02-28 00:00:00,28.21,44.86,27.86,83.47,54.45,22.37,45.54,1203.6,55.18 -2005-03-01 00:00:00,27.8,44.5,27.87,84.12,55.32,22.47,45.71,1210.41,54.13 -2005-03-02 00:00:00,27.49,44.12,28.17,83.78,55.58,22.45,45.67,1210.08,54.63 -2005-03-03 00:00:00,27.47,41.79,28.13,83.32,55.4,22.37,45.69,1210.47,54.96 -2005-03-04 00:00:00,27.93,42.81,28.58,83.28,56.22,22.37,45.63,1222.12,55.41 -2005-03-07 00:00:00,27.53,42.75,28.59,82.59,56.8,22.64,45.84,1225.31,54.91 -2005-03-08 00:00:00,27.43,40.53,28.54,83.06,56.6,22.58,45.53,1219.43,55.0 -2005-03-09 00:00:00,27.15,39.35,28.28,83.26,56.24,22.5,44.98,1207.01,52.99 -2005-03-10 00:00:00,26.77,39.83,28.59,83.32,56.44,22.61,45.13,1209.25,52.62 -2005-03-11 00:00:00,27.22,40.27,28.35,82.51,56.11,22.3,44.75,1200.08,53.21 -2005-03-14 00:00:00,27.38,40.32,28.66,82.86,56.29,22.32,44.78,1206.83,53.41 -2005-03-15 00:00:00,27.74,40.96,28.49,82.39,55.83,22.14,44.59,1197.75,52.6 -2005-03-16 00:00:00,27.56,41.18,28.18,81.73,55.65,21.89,44.29,1188.07,52.55 -2005-03-17 00:00:00,27.71,42.25,27.99,81.02,55.6,21.81,44.41,1190.21,53.6 -2005-03-18 00:00:00,27.82,42.96,28.39,80.49,55.82,21.61,44.68,1189.65,54.61 -2005-03-21 00:00:00,27.63,43.7,28.5,80.7,55.49,21.51,44.63,1183.78,54.17 -2005-03-22 00:00:00,27.19,42.83,28.09,80.69,55.44,21.33,44.24,1171.71,53.08 -2005-03-23 00:00:00,26.69,42.55,28.09,81.61,56.61,21.49,44.17,1172.53,52.38 -2005-03-24 00:00:00,26.66,42.5,28.28,81.78,56.51,21.58,44.09,1171.42,51.43 -2005-03-28 00:00:00,26.39,42.53,28.46,82.08,56.73,21.51,44.46,1174.28,51.33 -2005-03-29 00:00:00,25.97,41.75,28.12,81.68,56.37,21.26,44.4,1165.36,50.79 -2005-03-30 00:00:00,26.26,42.8,28.65,81.76,56.48,21.48,45.31,1181.41,51.64 -2005-03-31 00:00:00,26.69,41.67,28.54,82.39,55.74,21.49,45.03,1180.59,51.95 -2005-04-01 00:00:00,26.58,40.89,28.07,81.54,55.49,21.44,44.8,1172.92,52.78 -2005-04-04 00:00:00,26.41,41.09,27.89,81.43,56.42,21.54,44.79,1176.12,52.86 -2005-04-05 00:00:00,26.33,41.89,28.09,80.76,57.28,21.75,45.01,1181.39,52.35 -2005-04-06 00:00:00,26.33,42.33,28.09,80.24,57.11,21.93,44.92,1184.07,53.08 -2005-04-07 00:00:00,27.64,43.56,28.31,79.74,57.47,22.31,45.36,1191.14,53.04 -2005-04-08 00:00:00,27.76,43.74,28.28,78.98,56.97,22.17,45.08,1181.2,52.31 -2005-04-11 00:00:00,27.37,41.92,28.35,77.72,57.18,22.2,45.09,1181.21,52.55 -2005-04-12 00:00:00,27.5,42.66,28.56,77.31,56.97,22.51,45.55,1187.76,52.67 -2005-04-13 00:00:00,26.7,41.04,28.2,76.25,56.93,22.26,45.54,1173.79,51.56 -2005-04-14 00:00:00,26.26,37.26,28.09,75.41,57.48,22.08,46.82,1162.05,51.21 -2005-04-15 00:00:00,25.73,35.35,28.29,69.15,57.6,21.74,46.56,1142.62,48.98 -2005-04-18 00:00:00,25.98,35.62,28.49,69.11,57.3,21.91,46.27,1145.98,49.9 -2005-04-19 00:00:00,25.81,37.09,28.49,68.05,57.31,21.89,46.28,1152.78,51.1 -2005-04-20 00:00:00,25.38,35.51,28.11,64.92,56.52,21.62,45.99,1137.5,49.8 -2005-04-21 00:00:00,25.95,37.18,28.58,66.75,56.68,22.47,46.46,1159.95,51.67 -2005-04-22 00:00:00,25.64,35.5,28.57,66.91,56.85,22.21,46.26,1152.12,51.79 -2005-04-25 00:00:00,25.85,36.98,28.79,67.27,56.89,22.21,46.82,1162.1,52.26 -2005-04-26 00:00:00,25.33,36.19,28.63,68.01,56.46,22.01,46.88,1151.83,51.66 -2005-04-27 00:00:00,25.23,35.95,28.81,69.47,56.71,22.21,46.91,1156.38,50.89 -2005-04-28 00:00:00,25.09,35.54,28.23,68.44,56.16,21.73,46.79,1143.22,48.81 -2005-04-29 00:00:00,25.48,36.06,28.65,68.86,56.96,22.49,47.25,1156.85,49.71 -2005-05-02 00:00:00,25.63,36.43,28.69,68.98,57.09,22.43,47.48,1162.16,50.33 -2005-05-03 00:00:00,25.73,36.21,28.57,68.95,57.05,22.54,47.49,1161.17,49.25 -2005-05-04 00:00:00,26.0,37.15,28.65,69.5,56.62,22.41,48.08,1175.65,49.88 -2005-05-05 00:00:00,25.91,36.68,28.37,68.07,56.86,22.43,47.93,1172.63,50.38 -2005-05-06 00:00:00,25.88,37.24,28.37,68.03,56.61,22.42,47.59,1171.35,50.21 -2005-05-09 00:00:00,25.91,36.97,28.67,67.78,56.58,22.32,47.87,1178.84,50.56 -2005-05-10 00:00:00,25.27,36.42,28.35,66.26,56.22,22.13,47.87,1166.22,49.88 -2005-05-11 00:00:00,25.07,35.61,28.64,66.24,56.4,22.14,48.34,1171.11,50.19 -2005-05-12 00:00:00,24.32,34.13,28.39,65.65,56.15,22.22,48.13,1159.36,48.03 -2005-05-13 00:00:00,23.57,34.77,28.25,66.14,55.97,22.49,47.92,1154.05,47.04 -2005-05-16 00:00:00,23.48,35.55,28.68,67.2,56.42,22.73,48.12,1165.69,46.74 -2005-05-17 00:00:00,24.02,35.36,28.85,67.16,56.64,22.7,47.8,1173.8,47.18 -2005-05-18 00:00:00,24.58,35.84,29.2,69.03,56.38,22.92,48.14,1185.56,47.0 -2005-05-19 00:00:00,24.42,37.55,29.22,69.75,56.22,23.11,48.43,1191.08,48.03 -2005-05-20 00:00:00,24.23,37.55,29.28,69.07,56.05,22.95,48.51,1189.28,47.32 -2005-05-23 00:00:00,24.49,39.76,29.42,69.16,56.1,23.05,48.18,1193.86,47.96 -2005-05-24 00:00:00,24.24,39.7,29.34,68.53,56.38,22.96,48.21,1194.07,48.22 -2005-05-25 00:00:00,23.97,39.78,29.17,68.7,56.27,22.93,48.4,1190.01,48.78 -2005-05-26 00:00:00,24.13,40.74,29.23,69.73,56.23,23.1,48.41,1197.62,49.25 -2005-05-27 00:00:00,24.25,40.56,29.19,69.7,56.24,23.25,48.06,1198.78,49.76 -2005-05-31 00:00:00,23.92,39.76,28.87,68.3,55.97,23.01,47.78,1191.5,49.23 -2005-06-01 00:00:00,24.41,40.3,29.22,69.46,56.14,23.02,48.25,1202.22,50.07 -2005-06-02 00:00:00,24.51,40.04,29.2,69.92,55.88,23.0,48.32,1204.29,50.22 -2005-06-03 00:00:00,24.11,38.24,29.04,68.51,55.42,22.68,47.56,1196.02,50.07 -2005-06-06 00:00:00,24.12,37.92,28.97,67.8,55.37,22.62,47.36,1197.51,50.46 -2005-06-07 00:00:00,24.08,36.54,29.15,67.84,55.5,22.75,47.47,1197.26,50.33 -2005-06-08 00:00:00,24.08,36.92,29.12,67.62,55.35,22.65,47.33,1194.67,49.7 -2005-06-09 00:00:00,23.81,37.65,29.11,67.74,55.66,22.75,47.35,1200.93,51.2 -2005-06-10 00:00:00,23.92,35.81,28.99,67.59,55.45,22.68,47.37,1198.11,51.14 -2005-06-13 00:00:00,24.19,35.9,28.92,67.84,55.44,22.57,47.41,1200.82,51.21 -2005-06-14 00:00:00,24.07,36.0,28.81,67.7,55.53,22.62,47.39,1203.91,51.29 -2005-06-15 00:00:00,24.33,37.13,28.74,68.97,55.34,22.53,47.61,1206.58,51.91 -2005-06-16 00:00:00,24.65,37.98,28.58,69.65,55.3,22.33,47.81,1210.96,52.67 -2005-06-17 00:00:00,24.94,38.31,28.88,69.06,55.52,22.33,47.57,1216.96,53.34 -2005-06-20 00:00:00,24.71,37.61,28.71,69.2,55.51,22.39,47.78,1216.1,53.31 -2005-06-21 00:00:00,24.54,37.86,28.61,69.07,55.49,22.43,47.67,1213.61,52.13 -2005-06-22 00:00:00,24.44,38.55,28.27,69.82,55.05,22.36,47.11,1213.88,52.27 -2005-06-23 00:00:00,24.0,38.89,27.6,68.17,54.51,22.57,46.81,1200.73,51.71 -2005-06-24 00:00:00,23.36,37.76,27.69,66.9,54.7,22.33,46.3,1191.57,50.94 -2005-06-27 00:00:00,23.03,37.1,27.56,66.79,54.76,22.34,46.31,1190.69,51.95 -2005-06-28 00:00:00,23.28,37.31,27.99,68.07,55.11,22.36,46.78,1201.57,51.77 -2005-06-29 00:00:00,23.21,36.37,27.87,67.56,54.8,22.37,46.44,1199.85,51.2 -2005-06-30 00:00:00,23.06,36.81,27.59,67.08,54.21,22.15,46.01,1191.33,50.35 -2005-07-01 00:00:00,23.07,36.5,27.66,67.5,54.17,22.04,45.65,1194.44,51.08 -2005-07-05 00:00:00,23.13,37.98,27.65,67.61,54.09,22.28,45.69,1204.99,52.69 -2005-07-06 00:00:00,22.95,37.39,27.33,68.53,53.51,22.03,44.86,1194.94,51.78 -2005-07-07 00:00:00,23.03,37.63,27.22,69.95,53.31,21.98,45.03,1197.87,52.14 -2005-07-08 00:00:00,24.01,38.25,27.86,71.69,53.61,22.37,45.67,1211.86,52.04 -2005-07-11 00:00:00,24.44,38.1,27.96,71.38,54.04,22.55,45.94,1219.44,52.54 -2005-07-12 00:00:00,24.41,38.24,27.95,72.36,54.03,22.84,46.58,1222.21,52.47 -2005-07-13 00:00:00,24.2,38.35,28.01,73.63,53.73,22.88,46.81,1223.29,52.35 -2005-07-14 00:00:00,24.34,40.75,28.37,74.51,53.88,23.16,47.3,1226.5,51.33 -2005-07-15 00:00:00,24.27,41.55,28.29,74.47,54.24,23.0,47.31,1227.92,50.95 -2005-07-18 00:00:00,24.42,41.49,28.03,73.96,53.88,22.78,46.62,1221.13,50.94 -2005-07-19 00:00:00,24.8,43.19,28.13,75.66,54.23,23.33,47.38,1229.35,51.5 -2005-07-20 00:00:00,25.19,43.63,28.11,76.48,54.18,23.36,46.58,1235.2,51.69 -2005-07-21 00:00:00,25.27,43.29,27.87,76.3,53.36,23.58,46.65,1227.04,50.72 -2005-07-22 00:00:00,25.25,44.0,27.92,76.33,53.65,22.9,46.78,1233.68,52.13 -2005-07-25 00:00:00,25.03,43.81,27.69,76.12,52.83,22.91,46.56,1229.03,52.51 -2005-07-26 00:00:00,24.95,43.63,27.63,76.04,52.27,22.78,46.47,1231.16,52.21 -2005-07-27 00:00:00,24.85,43.99,27.71,75.82,53.83,22.94,46.71,1236.79,52.21 -2005-07-28 00:00:00,25.22,43.8,27.77,75.75,53.99,22.96,46.86,1243.72,52.56 -2005-07-29 00:00:00,24.76,42.65,27.47,75.45,53.35,22.84,46.52,1234.18,51.47 -2005-08-01 00:00:00,24.64,42.75,27.27,75.42,53.8,23.11,46.59,1235.35,51.89 -2005-08-02 00:00:00,25.39,43.19,27.27,75.31,53.91,23.91,46.79,1244.12,52.4 -2005-08-03 00:00:00,25.47,43.22,27.24,75.99,54.11,24.3,46.66,1245.04,51.69 -2005-08-04 00:00:00,24.93,42.71,27.08,75.14,53.51,24.36,46.67,1235.86,51.27 -2005-08-05 00:00:00,24.61,42.99,26.92,75.36,53.0,24.76,46.4,1226.42,50.89 -2005-08-08 00:00:00,24.88,42.65,26.88,75.54,52.91,24.19,45.99,1223.13,51.56 -2005-08-09 00:00:00,25.39,43.82,27.18,75.67,53.4,24.39,46.28,1231.38,52.09 -2005-08-10 00:00:00,25.62,43.38,26.98,74.32,53.26,24.03,46.39,1229.13,52.73 -2005-08-11 00:00:00,26.41,44.0,27.48,74.9,53.64,24.32,46.68,1237.81,53.66 -2005-08-12 00:00:00,26.37,46.1,27.27,74.48,53.01,24.12,46.59,1230.39,53.75 -2005-08-15 00:00:00,25.94,47.68,27.24,74.76,52.84,24.27,46.88,1233.87,53.19 -2005-08-16 00:00:00,25.57,46.25,26.98,73.67,52.55,23.92,46.74,1219.34,52.0 -2005-08-17 00:00:00,25.19,47.15,27.15,73.67,52.96,24.1,46.69,1220.24,51.22 -2005-08-18 00:00:00,24.91,46.3,27.06,73.54,53.59,23.99,46.57,1219.02,51.16 -2005-08-19 00:00:00,24.93,45.83,27.03,74.99,53.3,23.9,46.87,1219.71,51.78 -2005-08-22 00:00:00,25.16,45.87,27.05,74.85,53.24,24.07,46.97,1221.73,52.0 -2005-08-23 00:00:00,24.56,45.74,27.05,74.33,52.62,24.03,46.85,1217.59,51.94 -2005-08-24 00:00:00,24.3,45.77,26.71,73.69,52.19,23.98,46.34,1209.59,51.84 -2005-08-25 00:00:00,24.37,46.06,26.67,73.49,52.42,24.18,46.51,1212.37,52.1 -2005-08-26 00:00:00,24.21,45.74,26.58,72.84,51.93,24.12,46.34,1205.1,51.42 -2005-08-29 00:00:00,24.38,45.84,26.75,73.71,52.83,24.28,46.76,1212.28,51.43 -2005-08-30 00:00:00,24.03,46.57,26.47,72.98,52.82,24.31,46.75,1208.41,51.6 -2005-08-31 00:00:00,23.77,46.89,26.76,73.06,53.14,24.49,46.8,1220.33,52.73 -2005-09-01 00:00:00,24.12,46.26,26.39,72.08,52.93,24.33,46.88,1221.59,54.3 -2005-09-02 00:00:00,23.89,46.22,26.54,72.0,52.73,24.17,46.63,1218.02,53.42 -2005-09-06 00:00:00,23.92,48.8,27.02,73.42,53.48,24.15,47.09,1233.39,53.75 -2005-09-07 00:00:00,23.57,48.68,27.08,73.38,54.33,24.02,47.53,1236.36,54.11 -2005-09-08 00:00:00,23.44,49.78,26.95,73.22,53.74,23.8,47.24,1231.67,53.97 -2005-09-09 00:00:00,23.82,51.31,27.06,73.8,54.27,23.77,47.34,1241.48,55.64 -2005-09-12 00:00:00,24.06,51.4,27.42,73.83,54.23,23.8,47.51,1240.56,55.04 -2005-09-13 00:00:00,23.78,50.82,27.3,73.17,53.7,23.68,47.54,1231.2,54.47 -2005-09-14 00:00:00,23.56,49.61,27.11,72.93,53.91,23.53,47.45,1227.16,55.0 -2005-09-15 00:00:00,23.41,49.87,27.38,72.5,53.97,23.5,47.74,1227.73,54.99 -2005-09-16 00:00:00,23.67,51.21,27.45,72.79,54.64,23.32,48.0,1237.91,56.08 -2005-09-19 00:00:00,23.39,52.64,27.11,71.98,54.2,23.25,47.51,1231.02,56.9 -2005-09-20 00:00:00,23.21,53.19,26.95,71.32,53.99,23.11,46.97,1221.34,56.81 -2005-09-21 00:00:00,23.14,52.11,26.71,70.28,54.24,22.8,46.31,1210.2,57.2 -2005-09-22 00:00:00,22.98,51.9,26.69,70.87,54.23,22.66,46.42,1214.62,57.21 -2005-09-23 00:00:00,21.67,53.2,26.77,70.68,53.65,22.6,46.73,1215.29,56.19 -2005-09-26 00:00:00,21.47,53.84,26.67,70.15,53.55,22.6,46.59,1215.63,56.87 -2005-09-27 00:00:00,21.3,53.44,26.96,70.67,53.19,22.66,47.24,1215.66,56.89 -2005-09-28 00:00:00,21.36,51.08,26.84,72.04,52.99,22.96,47.2,1216.89,56.96 -2005-09-29 00:00:00,21.69,52.34,26.97,72.82,53.45,23.2,48.43,1227.68,57.05 -2005-09-30 00:00:00,21.67,53.61,26.99,72.69,53.05,23.01,48.61,1228.81,55.94 -2005-10-03 00:00:00,21.18,54.44,26.63,72.9,52.47,22.81,48.44,1226.7,55.01 -2005-10-04 00:00:00,20.73,53.75,26.33,72.59,52.86,22.34,48.46,1214.47,53.31 -2005-10-05 00:00:00,20.36,52.78,26.19,72.33,52.19,22.07,49.07,1196.39,51.9 -2005-10-06 00:00:00,20.33,51.7,26.92,72.22,51.62,22.12,49.68,1191.49,51.56 -2005-10-07 00:00:00,20.44,51.3,27.43,72.95,51.43,21.99,49.26,1195.9,52.47 -2005-10-10 00:00:00,20.11,50.37,27.24,73.63,51.53,21.88,49.12,1187.33,51.5 -2005-10-11 00:00:00,20.27,51.59,27.09,75.38,51.38,21.83,48.97,1184.87,52.29 -2005-10-12 00:00:00,20.15,49.25,27.09,74.48,51.81,21.73,49.47,1177.68,51.89 -2005-10-13 00:00:00,20.0,53.74,27.27,74.49,53.67,21.99,49.26,1176.84,51.2 -2005-10-14 00:00:00,20.38,54.0,27.52,74.62,53.4,22.07,49.3,1186.57,51.62 -2005-10-17 00:00:00,20.59,53.44,27.26,74.84,52.82,21.94,49.51,1190.1,51.82 -2005-10-18 00:00:00,20.66,52.21,27.25,75.65,52.79,21.98,49.99,1178.14,49.56 -2005-10-19 00:00:00,21.05,54.94,27.58,76.27,53.92,22.44,49.83,1195.76,50.33 -2005-10-20 00:00:00,20.73,56.14,27.16,75.37,53.8,22.17,49.43,1177.8,48.6 -2005-10-21 00:00:00,20.72,55.66,27.04,75.51,53.71,22.16,49.37,1179.59,48.75 -2005-10-24 00:00:00,21.24,56.79,27.36,75.64,53.74,22.45,49.68,1199.38,50.05 -2005-10-25 00:00:00,21.07,56.1,27.18,75.54,53.3,22.39,49.72,1196.54,50.36 -2005-10-26 00:00:00,21.15,57.03,27.01,75.11,52.66,22.46,49.33,1191.38,49.48 -2005-10-27 00:00:00,21.18,55.41,26.91,74.59,51.51,22.23,49.95,1178.9,48.95 -2005-10-28 00:00:00,21.31,54.47,27.29,73.78,52.78,22.83,50.43,1198.41,49.57 -2005-10-31 00:00:00,21.55,57.59,27.18,74.2,52.5,22.99,50.64,1207.01,49.42 -2005-11-01 00:00:00,21.83,57.5,26.93,73.93,51.9,23.22,50.2,1202.76,49.65 -2005-11-02 00:00:00,22.13,59.95,27.1,73.45,51.39,23.67,50.55,1214.76,50.52 -2005-11-03 00:00:00,22.43,61.85,27.24,75.09,51.31,23.65,50.62,1219.94,51.56 -2005-11-04 00:00:00,22.47,61.15,27.27,75.21,51.04,23.85,50.23,1220.14,50.97 -2005-11-07 00:00:00,23.16,60.23,27.27,75.76,51.5,24.16,50.2,1222.81,50.27 -2005-11-08 00:00:00,23.2,59.9,27.06,75.53,50.95,24.19,49.97,1218.59,50.76 -2005-11-09 00:00:00,23.39,60.11,27.19,75.25,51.16,24.11,49.97,1220.65,50.88 -2005-11-10 00:00:00,23.46,61.18,27.65,76.29,51.48,24.23,50.48,1230.96,49.95 -2005-11-11 00:00:00,23.82,61.54,27.77,76.8,51.07,24.4,50.32,1234.72,50.01 -2005-11-14 00:00:00,23.76,61.45,27.57,76.63,50.73,24.48,50.23,1233.76,50.13 -2005-11-15 00:00:00,23.44,62.28,27.57,77.69,52.67,24.67,50.32,1229.01,49.93 -2005-11-16 00:00:00,23.51,64.95,27.68,78.61,53.03,24.88,50.3,1231.21,50.6 -2005-11-17 00:00:00,23.61,64.52,27.78,78.93,53.1,25.09,49.92,1242.8,50.77 -2005-11-18 00:00:00,23.57,64.56,28.65,79.73,52.71,25.18,50.16,1248.27,51.54 -2005-11-21 00:00:00,23.85,64.96,29.01,79.29,52.24,25.26,50.06,1254.85,52.53 -2005-11-22 00:00:00,23.84,66.52,28.9,79.92,51.92,25.04,50.89,1261.23,52.79 -2005-11-23 00:00:00,24.01,67.11,28.81,80.66,51.97,25.05,51.09,1265.61,52.98 -2005-11-25 00:00:00,24.4,69.34,29.01,80.66,52.38,24.9,51.35,1268.25,53.19 -2005-11-28 00:00:00,24.64,69.66,28.84,80.94,52.59,24.89,51.11,1257.46,51.98 -2005-11-29 00:00:00,24.88,68.1,28.8,80.93,52.25,24.83,51.23,1257.48,51.62 -2005-11-30 00:00:00,24.47,67.82,28.63,80.75,52.04,24.83,50.75,1249.48,51.35 -2005-12-01 00:00:00,25.25,71.6,28.65,81.03,51.99,25.02,51.31,1264.67,52.52 -2005-12-02 00:00:00,25.09,72.63,28.45,80.52,51.59,25.13,51.35,1265.08,52.27 -2005-12-05 00:00:00,24.97,71.82,28.67,80.32,51.45,24.98,51.31,1262.09,52.66 -2005-12-06 00:00:00,25.21,74.05,28.69,80.97,50.96,24.84,51.18,1263.7,52.82 -2005-12-07 00:00:00,25.52,73.95,28.51,80.59,50.6,24.89,50.99,1257.37,52.22 -2005-12-08 00:00:00,25.38,74.08,28.33,79.48,50.63,24.84,50.86,1255.84,52.58 -2005-12-09 00:00:00,25.13,74.33,28.48,79.0,50.65,24.86,50.8,1259.37,51.76 -2005-12-12 00:00:00,25.06,74.91,28.49,78.08,50.69,24.62,51.06,1260.43,52.08 -2005-12-13 00:00:00,25.45,74.98,28.43,76.04,50.78,24.34,50.77,1267.43,52.26 -2005-12-14 00:00:00,25.43,72.01,28.67,75.51,50.66,24.3,51.01,1272.74,52.97 -2005-12-15 00:00:00,25.2,72.18,28.85,75.87,50.7,24.15,51.31,1270.94,52.64 -2005-12-16 00:00:00,25.2,71.11,28.9,75.73,51.29,24.13,51.5,1267.32,51.37 -2005-12-19 00:00:00,25.49,71.38,28.71,75.17,51.57,24.07,51.26,1259.92,51.06 -2005-12-20 00:00:00,25.26,72.11,28.49,74.92,51.22,24.09,50.94,1259.62,51.26 -2005-12-21 00:00:00,25.88,73.5,28.31,75.5,51.31,23.98,51.0,1262.79,50.97 -2005-12-22 00:00:00,26.18,74.02,28.59,75.59,51.68,23.85,50.99,1268.12,50.53 -2005-12-23 00:00:00,26.29,73.35,28.59,75.83,51.5,23.9,50.98,1268.66,50.53 -2005-12-27 00:00:00,26.11,74.23,28.3,75.38,50.82,23.74,50.96,1256.54,49.44 -2005-12-28 00:00:00,26.43,73.57,28.34,75.43,50.92,23.67,51.08,1258.17,49.77 -2005-12-29 00:00:00,26.47,71.45,28.41,74.85,50.78,23.57,51.26,1254.42,49.76 -2005-12-30 00:00:00,26.4,71.89,28.29,74.67,50.65,23.46,50.86,1248.29,49.7 -2006-01-03 00:00:00,26.69,74.75,28.55,74.54,51.94,24.08,51.45,1268.8,51.74 -2006-01-04 00:00:00,26.84,74.97,28.51,74.44,52.74,24.19,51.42,1273.46,51.83 -2006-01-05 00:00:00,27.06,74.38,28.44,74.94,52.52,24.21,51.12,1273.48,51.57 -2006-01-06 00:00:00,26.97,76.3,28.63,77.16,52.76,24.14,51.31,1285.45,52.59 -2006-01-09 00:00:00,27.29,76.05,28.56,76.06,53.09,24.09,51.05,1290.15,52.56 -2006-01-10 00:00:00,26.43,80.86,28.41,76.36,53.18,24.22,50.88,1289.69,52.97 -2006-01-11 00:00:00,26.07,83.9,28.6,76.46,52.67,24.48,50.68,1294.18,53.33 -2006-01-12 00:00:00,25.72,84.29,28.25,75.91,52.43,24.35,50.66,1286.06,52.77 -2006-01-13 00:00:00,25.84,85.59,28.33,75.55,52.1,24.39,50.54,1287.61,53.95 -2006-01-17 00:00:00,26.0,84.71,28.2,75.39,51.64,24.21,50.31,1283.03,54.45 -2006-01-18 00:00:00,25.84,82.49,28.11,76.12,52.41,24.07,50.27,1277.93,53.69 -2006-01-19 00:00:00,26.33,79.04,27.99,75.47,52.39,24.24,50.22,1285.04,54.42 -2006-01-20 00:00:00,25.71,76.09,26.94,73.9,51.24,23.69,49.32,1261.49,53.56 -2006-01-23 00:00:00,26.05,77.67,26.87,73.95,51.57,23.64,49.5,1263.82,54.15 -2006-01-24 00:00:00,26.17,76.04,26.61,73.44,50.03,23.57,49.97,1266.86,53.94 -2006-01-25 00:00:00,26.55,74.2,26.44,73.49,49.3,23.68,49.63,1264.68,53.28 -2006-01-26 00:00:00,27.48,72.33,26.65,73.32,49.42,23.77,49.42,1273.83,53.05 -2006-01-27 00:00:00,27.94,72.03,26.6,73.59,49.48,24.93,50.11,1283.72,54.23 -2006-01-30 00:00:00,27.26,75.0,26.58,74.15,49.22,25.12,49.63,1285.19,55.84 -2006-01-31 00:00:00,28.12,75.51,26.44,73.85,48.49,25.25,49.23,1280.08,55.52 -2006-02-01 00:00:00,27.91,75.42,26.75,74.43,48.76,25.15,49.31,1282.46,54.82 -2006-02-02 00:00:00,27.49,72.1,26.56,73.78,48.59,24.83,49.46,1270.84,54.82 -2006-02-03 00:00:00,27.43,71.85,26.52,72.64,48.36,24.7,49.37,1264.03,54.32 -2006-02-06 00:00:00,28.73,67.3,26.44,72.22,47.91,24.37,48.88,1265.02,54.83 -2006-02-07 00:00:00,27.69,67.6,26.08,72.53,47.87,24.17,48.95,1254.78,53.58 -2006-02-08 00:00:00,27.97,68.81,26.43,73.58,49.39,24.14,49.32,1265.65,53.72 -2006-02-09 00:00:00,27.87,64.95,26.57,73.21,49.34,23.92,49.69,1263.78,53.3 -2006-02-10 00:00:00,27.68,67.31,26.86,74.06,49.21,23.94,49.87,1266.99,52.87 -2006-02-13 00:00:00,27.13,64.71,26.84,73.25,49.3,23.67,49.59,1262.86,53.02 -2006-02-14 00:00:00,28.14,67.64,27.01,73.84,49.77,23.91,49.89,1275.53,52.97 -2006-02-15 00:00:00,27.71,69.22,27.01,73.62,49.81,24.19,49.83,1280.0,53.16 -2006-02-16 00:00:00,27.24,70.57,26.92,73.68,49.71,24.13,50.54,1289.38,53.6 -2006-02-17 00:00:00,27.25,70.29,27.13,73.5,49.78,24.03,50.73,1287.24,53.86 -2006-02-21 00:00:00,27.09,69.08,26.93,73.31,49.84,23.89,50.66,1283.03,54.05 -2006-02-22 00:00:00,27.18,71.32,27.16,74.08,49.75,24.05,50.8,1292.67,53.6 -2006-02-23 00:00:00,26.99,71.75,27.05,73.03,49.38,24.0,51.36,1287.79,53.22 -2006-02-24 00:00:00,27.05,71.46,26.95,72.94,48.95,23.97,51.26,1289.43,53.75 -2006-02-27 00:00:00,26.52,70.99,27.1,73.42,49.08,24.35,51.24,1294.12,53.3 -2006-02-28 00:00:00,26.3,68.49,26.73,73.07,48.86,24.19,50.89,1280.66,52.81 -2006-03-01 00:00:00,26.51,69.1,26.64,72.76,48.87,24.43,51.01,1291.24,53.68 -2006-03-02 00:00:00,26.82,69.61,26.72,72.8,48.89,24.28,51.04,1289.14,54.13 -2006-03-03 00:00:00,27.27,67.72,26.89,72.81,48.71,24.24,51.21,1287.23,54.25 -2006-03-06 00:00:00,26.73,65.48,26.92,72.85,49.03,24.22,51.38,1278.26,53.36 -2006-03-07 00:00:00,26.19,66.31,26.96,73.11,49.34,24.36,51.45,1275.88,53.24 -2006-03-08 00:00:00,25.82,65.66,27.19,73.89,49.78,24.53,51.73,1278.47,53.12 -2006-03-09 00:00:00,25.84,63.93,27.0,73.78,49.42,24.3,51.88,1272.23,52.41 -2006-03-10 00:00:00,26.22,63.19,27.37,74.28,50.04,24.46,52.18,1281.42,52.64 -2006-03-13 00:00:00,26.09,65.68,27.38,74.61,50.07,24.4,52.31,1284.13,53.05 -2006-03-14 00:00:00,26.55,67.32,27.47,75.47,50.25,24.51,52.25,1297.48,54.09 -2006-03-15 00:00:00,26.82,66.23,27.99,75.93,50.68,24.63,51.93,1303.02,54.28 -2006-03-16 00:00:00,27.12,64.31,27.96,75.46,50.87,24.55,51.8,1305.33,54.83 -2006-03-17 00:00:00,27.01,64.66,28.07,75.85,51.14,24.75,51.93,1307.25,54.31 -2006-03-20 00:00:00,26.73,63.99,28.06,76.11,51.26,25.1,51.76,1305.08,53.96 -2006-03-21 00:00:00,26.14,61.81,27.93,76.32,51.34,24.97,51.48,1297.23,54.01 -2006-03-22 00:00:00,26.34,61.67,28.08,76.9,51.7,24.44,51.73,1305.04,54.31 -2006-03-23 00:00:00,26.48,60.16,27.75,75.76,51.54,24.17,51.13,1301.67,54.49 -2006-03-24 00:00:00,26.76,59.96,27.61,75.91,51.18,24.31,51.31,1302.95,54.41 -2006-03-27 00:00:00,27.21,59.51,27.48,75.65,50.8,24.31,51.01,1301.61,54.52 -2006-03-28 00:00:00,27.06,58.71,27.33,75.06,50.51,24.21,50.53,1293.23,54.22 -2006-03-29 00:00:00,27.55,62.33,27.59,75.7,50.44,24.32,50.51,1302.89,54.51 -2006-03-30 00:00:00,27.56,62.75,28.18,75.76,50.3,24.51,50.25,1300.25,54.37 -2006-03-31 00:00:00,27.41,62.72,28.29,75.1,50.19,24.49,49.97,1294.87,54.14 -2006-04-03 00:00:00,27.72,62.65,28.21,75.64,50.15,24.81,50.02,1297.81,54.29 -2006-04-04 00:00:00,27.68,61.17,28.22,75.99,49.85,24.88,49.99,1305.93,54.93 -2006-04-05 00:00:00,28.41,67.21,27.99,76.65,49.5,24.97,50.06,1311.56,55.29 -2006-04-06 00:00:00,28.85,71.24,28.07,76.32,49.58,24.81,50.17,1309.04,55.23 -2006-04-07 00:00:00,29.15,69.79,27.68,75.11,49.01,24.53,49.98,1295.5,54.56 -2006-04-10 00:00:00,29.45,68.67,27.59,74.76,48.91,24.56,50.23,1296.62,55.1 -2006-04-11 00:00:00,30.58,67.99,27.69,73.91,48.95,24.42,49.99,1286.57,55.15 -2006-04-12 00:00:00,30.58,66.71,28.03,73.53,49.05,24.48,50.05,1288.12,54.67 -2006-04-13 00:00:00,30.24,66.47,27.56,74.65,49.08,24.37,50.04,1289.12,54.76 -2006-04-17 00:00:00,30.5,64.81,27.07,74.34,48.86,24.16,49.63,1285.33,55.2 -2006-04-18 00:00:00,31.54,66.22,27.55,75.86,49.27,24.5,50.22,1307.28,56.52 -2006-04-19 00:00:00,31.35,65.65,27.56,74.54,49.17,24.33,50.22,1309.93,57.2 -2006-04-20 00:00:00,31.19,67.63,27.75,74.69,49.34,24.33,49.55,1311.46,56.86 -2006-04-21 00:00:00,31.75,67.04,27.63,74.36,49.47,24.44,49.46,1311.28,57.82 -2006-04-24 00:00:00,31.87,65.75,27.59,74.77,49.44,24.4,49.52,1308.11,57.3 -2006-04-25 00:00:00,31.49,66.17,27.63,75.28,49.33,24.4,49.72,1301.74,56.89 -2006-04-26 00:00:00,31.36,68.15,27.76,75.9,49.61,24.39,50.03,1305.41,56.13 -2006-04-27 00:00:00,29.96,69.36,28.0,76.38,49.71,24.53,50.22,1309.72,55.53 -2006-04-28 00:00:00,30.3,70.39,28.13,74.98,49.67,21.74,50.36,1310.61,56.11 -2006-05-01 00:00:00,30.56,69.6,27.97,74.88,49.66,21.86,50.3,1305.19,56.42 -2006-05-02 00:00:00,30.75,71.62,28.04,75.05,49.72,21.61,50.11,1313.21,57.53 -2006-05-03 00:00:00,30.38,71.14,27.98,75.31,49.45,20.85,50.54,1308.12,56.73 -2006-05-04 00:00:00,31.06,71.13,28.3,75.06,49.38,21.1,50.79,1312.25,56.32 -2006-05-05 00:00:00,31.62,71.89,28.59,75.84,49.75,21.42,51.17,1325.76,56.93 -2006-05-08 00:00:00,32.54,71.89,28.46,75.75,49.76,21.36,50.93,1324.66,56.67 -2006-05-09 00:00:00,32.97,71.03,28.46,76.07,49.46,21.26,50.77,1325.14,56.88 -2006-05-10 00:00:00,32.63,70.6,28.22,75.76,49.43,21.39,50.88,1322.85,57.11 -2006-05-11 00:00:00,32.45,68.15,28.07,75.36,49.87,20.9,50.46,1305.92,56.74 -2006-05-12 00:00:00,31.36,67.7,27.88,75.3,49.86,20.85,50.71,1291.24,55.64 -2006-05-15 00:00:00,30.15,67.79,28.11,75.75,50.83,20.92,51.63,1294.5,55.43 -2006-05-16 00:00:00,30.31,64.98,28.29,75.09,51.06,20.79,51.59,1292.08,55.39 -2006-05-17 00:00:00,28.97,65.26,27.99,74.27,50.96,20.54,51.58,1270.32,53.8 -2006-05-18 00:00:00,28.21,63.18,27.77,73.72,50.97,20.63,50.75,1261.81,53.54 -2006-05-19 00:00:00,28.81,64.51,27.78,73.37,50.77,20.38,50.67,1267.03,54.04 -2006-05-22 00:00:00,28.06,63.38,27.71,73.13,50.73,20.67,51.25,1262.07,54.34 -2006-05-23 00:00:00,27.79,63.15,27.66,72.96,50.85,20.59,51.65,1256.58,53.99 -2006-05-24 00:00:00,27.95,63.34,27.86,72.91,51.52,21.23,52.19,1258.57,53.73 -2006-05-25 00:00:00,28.52,64.33,27.99,73.24,51.55,21.45,52.37,1272.88,55.0 -2006-05-26 00:00:00,29.1,63.55,27.92,73.8,51.76,21.43,52.45,1280.16,55.05 -2006-05-30 00:00:00,28.38,61.22,27.69,73.26,51.04,20.92,52.25,1259.87,53.82 -2006-05-31 00:00:00,28.58,59.77,27.86,73.02,51.36,20.47,52.28,1270.09,54.46 -2006-06-01 00:00:00,29.34,62.17,28.1,73.74,51.72,20.62,52.83,1285.71,54.63 -2006-06-02 00:00:00,29.34,61.66,28.19,72.67,51.8,20.57,52.46,1288.22,55.12 -2006-06-05 00:00:00,28.27,60.0,27.83,72.25,51.28,20.33,51.67,1265.29,53.69 -2006-06-06 00:00:00,27.65,59.72,28.1,72.89,51.97,20.0,52.33,1263.85,54.0 -2006-06-07 00:00:00,27.07,58.56,27.98,72.34,52.17,19.92,52.4,1256.15,52.59 -2006-06-08 00:00:00,27.09,60.76,28.11,70.4,52.5,19.98,52.25,1257.93,53.26 -2006-06-09 00:00:00,27.19,59.24,27.71,70.95,52.34,19.81,52.08,1252.3,52.57 -2006-06-12 00:00:00,26.79,57.0,27.55,70.39,52.34,19.62,51.9,1237.44,52.07 -2006-06-13 00:00:00,26.08,58.33,27.43,70.31,52.06,19.44,51.26,1223.69,50.65 -2006-06-14 00:00:00,26.63,57.61,27.57,71.02,52.23,19.77,51.15,1230.04,51.67 -2006-06-15 00:00:00,27.26,59.38,27.74,71.8,52.42,19.94,51.34,1256.16,52.86 -2006-06-16 00:00:00,27.11,57.56,27.59,71.24,52.6,19.97,51.88,1251.54,52.57 -2006-06-19 00:00:00,26.22,57.2,27.42,70.98,52.32,20.38,51.54,1240.13,51.31 -2006-06-20 00:00:00,26.3,57.47,27.41,71.28,52.47,20.38,51.52,1240.12,51.31 -2006-06-21 00:00:00,26.88,57.86,27.38,71.56,52.69,20.85,51.8,1252.2,51.91 -2006-06-22 00:00:00,27.02,59.58,27.24,70.55,52.17,20.67,52.16,1245.6,51.83 -2006-06-23 00:00:00,27.19,58.83,27.17,70.46,52.29,20.33,51.7,1244.5,51.94 -2006-06-26 00:00:00,27.6,58.99,27.21,70.51,51.35,20.62,51.72,1250.56,52.59 -2006-06-27 00:00:00,27.37,57.43,26.94,70.03,50.78,20.66,51.37,1239.2,53.33 -2006-06-28 00:00:00,27.52,56.02,26.98,69.97,50.51,20.93,51.19,1246.0,54.64 -2006-06-29 00:00:00,28.74,58.97,27.26,70.91,51.07,21.21,51.71,1272.87,55.76 -2006-06-30 00:00:00,29.15,57.27,27.01,70.21,51.1,21.05,52.18,1270.2,54.85 -2006-07-03 00:00:00,29.81,57.95,27.31,71.3,51.3,21.42,52.38,1280.19,55.56 -2006-07-05 00:00:00,29.59,57.0,27.29,71.08,51.2,21.1,52.38,1270.91,55.92 -2006-07-06 00:00:00,30.11,55.77,27.45,71.37,51.61,21.22,52.45,1274.08,56.74 -2006-07-07 00:00:00,30.23,55.4,27.28,69.84,51.7,21.05,52.54,1265.48,56.18 -2006-07-10 00:00:00,30.1,55.0,27.41,70.07,51.98,21.23,52.97,1267.34,56.36 -2006-07-11 00:00:00,28.63,55.65,27.25,69.89,51.82,20.87,53.52,1272.43,57.2 -2006-07-12 00:00:00,28.88,52.96,27.09,68.98,51.7,20.46,53.1,1258.6,57.19 -2006-07-13 00:00:00,27.92,52.25,26.77,67.85,51.4,20.11,53.94,1242.28,57.28 -2006-07-14 00:00:00,27.74,50.67,26.31,67.24,51.56,20.14,53.71,1236.2,58.02 -2006-07-17 00:00:00,27.23,52.37,26.51,67.36,51.94,20.31,54.12,1234.49,57.22 -2006-07-18 00:00:00,27.4,52.9,26.6,67.87,51.68,20.55,54.93,1236.86,57.76 -2006-07-19 00:00:00,27.92,54.1,26.94,69.52,52.28,21.14,54.46,1259.81,57.81 -2006-07-20 00:00:00,27.0,60.5,26.61,68.98,52.34,20.65,54.3,1249.13,57.44 -2006-07-21 00:00:00,26.63,60.72,26.42,68.42,52.64,21.57,54.54,1240.29,57.16 -2006-07-24 00:00:00,26.79,61.42,26.73,69.45,52.86,21.69,55.05,1260.91,58.43 -2006-07-25 00:00:00,27.01,61.93,26.79,69.36,52.87,21.88,54.5,1268.88,58.77 -2006-07-26 00:00:00,26.83,63.87,26.78,69.3,52.92,22.02,55.3,1268.4,59.54 -2006-07-27 00:00:00,26.42,63.4,26.75,69.59,53.35,21.57,54.31,1263.2,59.43 -2006-07-28 00:00:00,26.79,65.59,27.06,70.33,53.66,21.91,54.86,1278.55,59.9 -2006-07-31 00:00:00,26.98,67.96,26.78,70.75,53.34,21.74,55.08,1276.66,60.56 -2006-08-01 00:00:00,26.39,67.18,26.68,69.59,53.45,21.68,54.9,1270.92,60.95 -2006-08-02 00:00:00,26.85,68.16,26.71,69.75,53.85,21.96,54.92,1277.41,61.22 -2006-08-03 00:00:00,26.81,69.59,26.82,69.76,53.79,21.88,54.61,1280.27,61.12 -2006-08-04 00:00:00,26.78,68.3,26.87,69.38,54.18,21.95,54.9,1279.36,61.41 -2006-08-07 00:00:00,26.62,67.21,26.78,69.02,53.96,21.88,54.89,1275.77,61.89 -2006-08-08 00:00:00,26.31,64.78,26.5,69.12,54.2,21.99,55.29,1271.48,61.93 -2006-08-09 00:00:00,26.12,63.59,26.45,69.17,54.0,22.08,54.61,1265.95,61.95 -2006-08-10 00:00:00,26.2,64.07,26.77,69.5,54.2,22.1,54.92,1271.81,62.28 -2006-08-11 00:00:00,25.6,63.65,26.63,69.26,54.13,22.07,55.03,1266.74,62.63 -2006-08-14 00:00:00,25.29,63.94,26.89,70.36,54.5,22.17,55.57,1268.21,62.2 -2006-08-15 00:00:00,25.8,66.45,27.2,70.73,54.93,22.33,55.26,1285.58,61.7 -2006-08-16 00:00:00,26.0,67.98,27.62,72.57,55.1,22.4,55.0,1295.43,60.69 -2006-08-17 00:00:00,25.82,67.59,27.79,72.83,54.78,22.4,54.45,1297.48,61.15 -2006-08-18 00:00:00,25.75,67.91,27.86,73.31,54.94,23.39,54.76,1302.3,62.06 -2006-08-21 00:00:00,26.05,66.56,27.83,72.74,54.81,23.69,55.01,1297.52,62.72 -2006-08-22 00:00:00,26.32,67.62,27.83,72.44,54.72,23.24,55.39,1298.82,63.06 -2006-08-23 00:00:00,26.2,67.31,27.69,72.18,54.5,23.28,55.68,1292.99,62.54 -2006-08-24 00:00:00,25.96,67.81,27.74,72.84,55.43,23.34,55.74,1296.06,63.52 -2006-08-25 00:00:00,26.2,68.75,27.73,73.29,55.47,23.44,55.77,1295.09,63.26 -2006-08-28 00:00:00,26.13,66.98,27.8,73.7,55.39,23.53,56.49,1301.78,62.96 -2006-08-29 00:00:00,26.08,66.48,28.01,74.69,55.41,23.43,57.19,1304.28,62.34 -2006-08-30 00:00:00,25.77,66.96,28.08,74.52,55.41,23.4,57.04,1305.37,61.35 -2006-08-31 00:00:00,25.89,67.85,27.91,74.29,55.46,23.31,56.73,1303.82,60.78 -2006-09-01 00:00:00,26.27,68.38,27.97,74.7,55.51,23.43,56.84,1311.01,61.17 -2006-09-05 00:00:00,26.16,71.48,27.83,74.18,55.16,23.23,56.66,1313.25,61.51 -2006-09-06 00:00:00,26.07,70.03,27.82,73.66,54.83,23.23,56.69,1300.26,60.34 -2006-09-07 00:00:00,26.18,72.8,27.89,72.85,54.43,23.06,56.07,1294.02,60.8 -2006-09-08 00:00:00,25.97,72.52,27.87,74.01,54.54,23.22,56.51,1298.92,60.01 -2006-09-11 00:00:00,24.6,72.5,28.21,74.26,54.93,23.5,56.5,1299.54,58.33 -2006-09-12 00:00:00,24.81,72.63,28.41,75.5,54.75,23.52,56.92,1313.0,58.11 -2006-09-13 00:00:00,25.36,74.2,28.55,75.43,54.73,23.56,56.43,1318.07,58.7 -2006-09-14 00:00:00,25.23,74.17,28.5,75.67,54.66,23.88,56.35,1316.28,58.12 -2006-09-15 00:00:00,25.47,74.1,28.55,76.1,54.72,24.35,56.77,1319.66,58.07 -2006-09-18 00:00:00,25.79,73.89,28.57,75.46,55.03,24.3,56.29,1321.18,59.55 -2006-09-19 00:00:00,25.43,73.77,28.55,75.12,55.05,24.36,56.55,1317.64,58.83 -2006-09-20 00:00:00,25.05,75.26,28.69,76.54,55.06,24.65,56.85,1325.18,57.58 -2006-09-21 00:00:00,25.06,74.65,28.42,74.88,55.09,24.4,56.41,1318.03,58.18 -2006-09-22 00:00:00,24.89,73.0,28.39,74.51,54.86,24.18,56.12,1314.78,58.3 -2006-09-25 00:00:00,24.71,75.75,28.79,75.24,55.06,24.44,56.81,1326.37,58.44 -2006-09-26 00:00:00,25.06,77.61,29.25,75.7,55.47,24.67,57.12,1336.35,59.67 -2006-09-27 00:00:00,25.13,76.41,29.16,75.32,55.6,24.89,57.54,1336.59,60.29 -2006-09-28 00:00:00,25.26,77.01,29.28,75.23,55.67,24.85,57.01,1338.88,60.59 -2006-09-29 00:00:00,25.39,76.98,29.13,75.18,55.7,24.8,56.97,1335.85,60.27 -2006-10-02 00:00:00,25.01,74.86,29.3,75.12,55.83,24.81,56.16,1331.32,60.18 -2006-10-03 00:00:00,24.54,74.08,29.47,74.92,56.18,24.82,56.45,1334.11,58.75 -2006-10-04 00:00:00,24.6,75.38,29.79,76.25,56.47,25.34,56.67,1350.2,59.83 -2006-10-05 00:00:00,24.97,74.83,29.95,76.08,55.85,25.32,56.56,1353.22,60.47 -2006-10-06 00:00:00,25.12,74.22,29.82,76.29,55.8,25.28,56.24,1349.59,60.64 -2006-10-09 00:00:00,25.35,74.63,29.84,77.07,55.64,25.14,55.63,1350.66,59.77 -2006-10-10 00:00:00,25.62,73.81,29.96,77.25,55.72,25.11,55.36,1353.42,60.36 -2006-10-11 00:00:00,24.32,73.23,29.85,77.25,55.84,24.98,55.75,1349.95,59.76 -2006-10-12 00:00:00,24.09,75.26,29.89,77.72,55.62,25.59,54.87,1362.83,60.76 -2006-10-13 00:00:00,24.12,75.02,29.69,78.98,55.39,25.73,54.52,1365.62,61.44 -2006-10-16 00:00:00,24.74,75.4,29.35,79.56,55.69,25.8,54.72,1369.06,62.72 -2006-10-17 00:00:00,24.92,74.29,29.35,79.78,56.68,25.79,54.45,1364.05,62.34 -2006-10-18 00:00:00,24.8,74.53,29.35,82.42,58.46,25.87,55.17,1365.8,62.13 -2006-10-19 00:00:00,24.93,78.99,29.11,82.45,58.36,25.66,54.84,1366.96,62.63 -2006-10-20 00:00:00,24.87,79.95,29.27,83.02,58.86,25.78,54.84,1368.6,62.47 -2006-10-23 00:00:00,24.89,81.46,29.32,84.01,59.27,25.8,55.16,1377.02,62.8 -2006-10-24 00:00:00,25.09,81.05,29.23,83.95,58.97,25.65,55.18,1377.38,62.77 -2006-10-25 00:00:00,25.15,81.68,29.39,84.26,59.04,25.67,55.56,1382.22,63.78 -2006-10-26 00:00:00,25.0,82.19,29.37,83.99,59.03,25.71,55.72,1389.08,64.33 -2006-10-27 00:00:00,25.63,80.41,29.06,83.28,58.47,25.7,55.47,1377.34,64.18 -2006-10-30 00:00:00,25.59,80.42,29.05,83.96,58.07,25.87,55.46,1377.93,63.63 -2006-10-31 00:00:00,26.18,81.08,28.97,84.72,57.81,26.04,55.39,1377.94,64.15 -2006-11-01 00:00:00,25.79,79.16,28.8,84.23,57.62,26.13,55.31,1367.81,63.82 -2006-11-02 00:00:00,25.94,78.98,28.64,84.12,58.24,26.09,55.18,1367.34,63.94 -2006-11-03 00:00:00,25.93,78.29,28.69,83.87,58.16,26.06,55.21,1364.3,64.8 -2006-11-06 00:00:00,26.24,79.71,29.11,84.97,58.69,26.16,55.25,1379.78,65.49 -2006-11-07 00:00:00,26.27,80.51,29.33,85.1,58.94,26.26,55.35,1382.84,65.14 -2006-11-08 00:00:00,26.15,82.45,29.36,85.23,58.32,26.28,55.46,1385.72,66.58 -2006-11-09 00:00:00,26.41,83.34,29.12,85.08,56.74,26.54,54.73,1378.33,67.3 -2006-11-10 00:00:00,25.95,83.12,29.02,84.47,56.86,26.52,54.61,1380.9,67.13 -2006-11-13 00:00:00,25.93,84.35,29.18,84.75,56.56,26.62,53.61,1384.42,67.14 -2006-11-14 00:00:00,25.86,85.0,29.37,85.88,57.09,26.6,54.08,1393.22,67.16 -2006-11-15 00:00:00,25.99,84.05,29.54,85.71,57.07,26.5,53.46,1396.57,67.47 -2006-11-16 00:00:00,25.77,85.61,29.68,86.04,57.07,26.82,53.95,1399.76,65.55 -2006-11-17 00:00:00,25.73,85.85,29.92,86.36,57.67,26.75,54.37,1401.2,65.92 -2006-11-20 00:00:00,25.92,86.47,29.69,85.84,57.48,27.2,54.56,1400.5,65.34 -2006-11-21 00:00:00,26.57,88.6,29.54,85.68,57.13,27.23,54.62,1402.81,66.2 -2006-11-22 00:00:00,27.7,90.31,29.7,86.09,57.27,27.23,54.6,1406.09,65.77 -2006-11-24 00:00:00,27.96,91.63,29.45,85.93,56.8,27.08,54.43,1400.95,65.29 -2006-11-27 00:00:00,27.46,89.54,29.25,84.18,56.63,26.83,53.69,1381.96,65.37 -2006-11-28 00:00:00,27.49,91.81,29.05,84.09,56.9,26.75,53.97,1386.72,66.9 -2006-11-29 00:00:00,28.21,91.8,29.17,84.25,57.1,26.91,54.54,1399.48,68.58 -2006-11-30 00:00:00,28.37,91.66,29.11,84.62,56.85,26.72,54.1,1400.63,69.29 -2006-12-01 00:00:00,28.1,91.32,29.11,84.0,56.9,26.5,54.09,1396.71,69.64 -2006-12-04 00:00:00,28.38,91.12,29.21,86.08,57.17,26.69,54.9,1409.12,70.15 -2006-12-05 00:00:00,28.07,91.27,29.11,86.97,57.08,26.51,56.02,1414.76,70.42 -2006-12-06 00:00:00,27.99,89.83,28.97,86.64,56.96,26.38,55.88,1412.9,68.84 -2006-12-07 00:00:00,28.05,87.04,29.02,86.74,56.98,26.25,55.63,1407.29,68.3 -2006-12-08 00:00:00,28.32,88.26,29.11,86.4,56.89,26.75,55.5,1409.84,68.11 -2006-12-11 00:00:00,28.27,88.75,29.07,86.2,56.67,26.88,55.05,1413.04,67.98 -2006-12-12 00:00:00,27.86,86.14,29.41,86.64,56.57,26.78,55.13,1411.56,68.78 -2006-12-13 00:00:00,27.72,89.05,29.3,87.24,56.47,26.89,55.05,1413.21,69.78 -2006-12-14 00:00:00,28.0,88.55,29.88,87.78,57.15,27.36,54.82,1425.49,71.02 -2006-12-15 00:00:00,28.26,87.72,30.83,87.73,57.18,27.47,55.15,1427.09,69.73 -2006-12-18 00:00:00,27.69,85.47,31.36,87.86,57.45,27.2,55.32,1422.48,68.12 -2006-12-19 00:00:00,27.75,86.31,31.37,88.37,57.69,27.29,55.51,1425.55,69.45 -2006-12-20 00:00:00,27.35,84.76,31.48,88.37,57.3,27.38,55.52,1423.53,68.63 -2006-12-21 00:00:00,26.72,82.9,31.4,88.29,56.93,27.28,55.6,1418.3,68.44 -2006-12-22 00:00:00,26.66,82.2,31.23,87.68,56.63,26.97,55.35,1410.76,68.03 -2006-12-26 00:00:00,26.78,81.51,31.35,88.06,56.62,27.29,55.12,1416.9,68.6 -2006-12-27 00:00:00,27.37,81.52,31.42,89.48,56.94,27.32,55.16,1426.84,69.42 -2006-12-28 00:00:00,27.37,80.87,31.16,89.26,57.29,27.28,55.48,1424.73,69.76 -2006-12-29 00:00:00,27.36,84.84,30.93,89.43,56.95,27.17,54.86,1418.3,69.13 -2007-01-03 00:00:00,26.74,83.8,31.57,89.54,57.28,27.17,55.01,1416.6,66.85 -2007-01-04 00:00:00,26.54,85.66,31.38,90.5,57.99,27.13,55.39,1418.34,65.6 -2007-01-05 00:00:00,26.22,85.05,31.23,89.68,57.47,26.97,55.22,1409.71,66.07 -2007-01-08 00:00:00,25.97,85.47,31.22,91.04,57.37,27.24,55.34,1412.84,65.54 -2007-01-09 00:00:00,26.01,92.57,31.22,92.12,57.16,27.26,55.57,1412.11,65.03 -2007-01-10 00:00:00,27.56,97.0,31.23,91.03,57.06,26.99,56.27,1414.85,64.04 -2007-01-11 00:00:00,27.78,95.8,31.52,90.81,57.56,27.94,56.97,1423.82,64.03 -2007-01-12 00:00:00,28.08,94.62,31.5,91.45,57.48,28.4,56.75,1430.73,65.54 -2007-01-16 00:00:00,27.88,97.1,31.68,92.81,57.4,28.36,56.88,1431.9,64.62 -2007-01-17 00:00:00,27.84,94.95,31.57,92.07,57.68,28.3,57.01,1430.62,65.36 -2007-01-18 00:00:00,27.63,89.07,31.59,91.55,58.41,28.21,56.94,1426.37,64.91 -2007-01-19 00:00:00,28.63,88.5,30.72,88.53,58.45,28.31,56.86,1430.5,66.33 -2007-01-22 00:00:00,28.42,86.79,30.55,89.39,57.95,27.96,56.85,1422.95,65.76 -2007-01-23 00:00:00,28.79,85.7,30.39,89.37,57.36,27.97,56.87,1427.99,67.2 -2007-01-24 00:00:00,29.0,86.7,30.46,89.66,57.8,28.29,57.19,1440.13,67.57 -2007-01-25 00:00:00,28.7,86.25,30.21,89.76,57.52,27.71,56.51,1423.9,66.32 -2007-01-26 00:00:00,29.24,85.38,29.99,89.71,56.99,27.85,56.53,1422.18,66.4 -2007-01-29 00:00:00,29.0,85.94,30.09,90.71,57.06,27.78,56.66,1420.62,66.03 -2007-01-30 00:00:00,29.46,85.55,29.95,91.47,57.27,27.74,57.09,1428.82,67.11 -2007-01-31 00:00:00,29.61,85.73,29.97,91.27,57.62,28.08,57.22,1438.24,66.84 -2007-02-01 00:00:00,30.07,84.74,30.12,91.13,57.8,27.81,57.35,1445.94,67.73 -2007-02-02 00:00:00,29.74,84.75,30.15,91.29,57.43,27.47,57.05,1448.39,68.14 -2007-02-05 00:00:00,29.85,83.94,30.24,92.4,57.19,26.95,56.86,1446.99,68.26 -2007-02-06 00:00:00,30.11,84.15,30.19,91.92,56.93,26.85,56.48,1448.0,68.07 -2007-02-07 00:00:00,29.47,86.15,30.01,91.91,56.76,26.73,56.58,1450.02,67.75 -2007-02-08 00:00:00,29.92,86.18,29.71,91.98,56.72,26.63,55.53,1448.31,68.36 -2007-02-09 00:00:00,29.81,83.27,29.54,90.99,56.59,26.37,56.06,1438.06,68.14 -2007-02-12 00:00:00,30.16,84.88,29.63,91.02,56.47,26.34,55.89,1433.37,67.58 -2007-02-13 00:00:00,32.08,84.7,29.74,90.75,56.4,26.49,55.97,1444.26,68.35 -2007-02-14 00:00:00,31.69,85.3,30.32,91.59,56.8,26.85,55.57,1455.3,68.49 -2007-02-15 00:00:00,31.82,85.21,30.04,91.33,56.75,26.9,56.21,1456.81,68.25 -2007-02-16 00:00:00,31.88,84.83,29.82,91.4,56.51,26.24,56.68,1455.54,68.21 -2007-02-20 00:00:00,31.96,85.9,30.02,91.73,56.47,26.33,56.67,1459.68,67.83 -2007-02-21 00:00:00,32.22,89.2,29.85,91.49,56.07,26.8,57.03,1457.63,67.74 -2007-02-22 00:00:00,31.85,89.51,29.66,90.95,55.88,26.84,56.72,1456.38,68.02 -2007-02-23 00:00:00,32.16,89.07,29.41,90.24,55.66,26.39,56.65,1451.19,68.14 -2007-02-26 00:00:00,32.41,88.51,29.61,89.48,55.79,26.55,56.57,1449.37,68.31 -2007-02-27 00:00:00,30.97,83.93,29.04,86.75,54.7,25.45,55.05,1399.04,65.07 -2007-02-28 00:00:00,30.63,84.61,29.25,85.81,54.6,25.72,55.39,1406.82,64.94 -2007-03-01 00:00:00,30.48,87.06,29.33,85.19,54.18,25.65,55.64,1403.17,64.31 -2007-03-02 00:00:00,29.97,85.41,29.22,83.93,53.75,25.35,55.2,1387.17,63.42 -2007-03-05 00:00:00,29.09,86.32,28.95,84.77,53.64,25.16,55.06,1374.12,63.4 -2007-03-06 00:00:00,29.71,88.19,29.09,86.61,53.53,25.41,55.49,1395.41,64.32 -2007-03-07 00:00:00,29.69,87.72,28.76,86.74,53.67,25.21,55.3,1391.97,64.9 -2007-03-08 00:00:00,29.78,88.0,28.87,85.87,53.55,24.95,55.57,1401.89,65.09 -2007-03-09 00:00:00,30.43,87.97,28.76,86.13,53.91,24.92,55.42,1402.84,64.43 -2007-03-12 00:00:00,30.63,89.87,28.86,86.89,53.61,25.06,55.67,1406.6,64.2 -2007-03-13 00:00:00,30.02,88.4,28.56,85.6,52.72,24.4,54.78,1377.95,63.33 -2007-03-14 00:00:00,30.54,90.0,28.75,86.57,52.67,25.02,55.25,1387.17,64.34 -2007-03-15 00:00:00,31.06,89.57,28.92,86.28,52.52,24.91,55.51,1392.28,64.04 -2007-03-16 00:00:00,30.69,89.59,28.79,86.1,52.5,24.96,55.14,1386.95,63.29 -2007-03-19 00:00:00,31.13,91.13,29.05,86.78,52.69,25.41,55.38,1402.06,64.41 -2007-03-20 00:00:00,31.23,91.48,29.13,87.25,52.98,25.42,55.88,1410.94,65.23 -2007-03-21 00:00:00,31.03,93.87,29.73,88.05,53.12,26.04,56.56,1435.04,66.34 -2007-03-22 00:00:00,30.88,93.96,30.0,87.89,52.8,25.82,56.5,1434.54,67.36 -2007-03-23 00:00:00,31.34,93.52,30.01,87.74,52.5,25.59,56.48,1436.11,67.96 -2007-03-26 00:00:00,31.32,95.85,30.16,87.71,52.27,25.77,56.31,1437.5,68.37 -2007-03-27 00:00:00,31.17,95.46,29.99,87.47,52.08,25.31,55.48,1428.61,68.59 -2007-03-28 00:00:00,30.78,93.24,29.79,87.03,52.06,25.24,55.43,1417.23,68.45 -2007-03-29 00:00:00,30.87,93.75,29.79,87.32,52.35,25.34,56.04,1422.53,69.07 -2007-03-30 00:00:00,31.07,92.91,29.63,87.03,52.28,25.45,56.02,1420.86,68.35 -2007-04-02 00:00:00,31.09,93.65,29.57,87.91,52.14,25.33,55.87,1424.55,68.99 -2007-04-03 00:00:00,31.73,94.5,29.59,88.73,52.61,25.45,55.88,1437.77,69.57 -2007-04-04 00:00:00,31.62,94.27,29.42,88.83,53.18,26.03,56.17,1439.37,69.85 -2007-04-05 00:00:00,31.71,94.68,29.34,89.12,53.4,26.07,56.12,1443.76,69.95 -2007-04-09 00:00:00,31.96,93.65,29.14,89.21,53.47,26.09,55.51,1444.61,69.57 -2007-04-10 00:00:00,31.99,94.25,29.23,89.06,53.51,25.93,55.88,1448.39,70.27 -2007-04-11 00:00:00,32.16,92.59,29.28,87.86,53.7,25.67,55.71,1438.87,69.55 -2007-04-12 00:00:00,32.15,92.19,29.48,88.33,53.72,26.06,56.55,1447.8,70.11 -2007-04-13 00:00:00,32.19,90.24,29.64,87.65,54.1,26.13,56.76,1452.85,70.13 -2007-04-16 00:00:00,32.03,91.43,29.63,88.8,54.68,26.24,56.9,1468.33,70.82 -2007-04-17 00:00:00,31.87,90.35,29.49,89.67,56.0,26.34,57.99,1471.48,71.02 -2007-04-18 00:00:00,31.6,90.4,29.43,87.53,55.9,26.12,58.1,1472.5,70.84 -2007-04-19 00:00:00,31.47,90.27,29.33,87.06,56.34,26.2,58.19,1470.73,70.17 -2007-04-20 00:00:00,31.51,90.97,29.43,87.33,56.5,26.5,58.74,1484.35,72.26 -2007-04-23 00:00:00,31.3,93.51,29.16,87.91,56.18,26.28,58.69,1480.93,71.75 -2007-04-24 00:00:00,31.12,93.24,29.12,90.94,55.95,26.29,58.53,1480.41,71.2 -2007-04-25 00:00:00,32.78,95.35,29.67,93.68,56.12,26.47,59.03,1495.42,72.4 -2007-04-26 00:00:00,32.83,98.84,30.03,93.16,55.74,26.57,58.53,1494.25,72.97 -2007-04-27 00:00:00,32.99,99.92,30.87,93.41,55.67,27.5,58.42,1494.07,72.8 -2007-04-30 00:00:00,32.53,99.8,30.88,94.37,55.72,27.34,58.25,1482.37,71.91 -2007-05-01 00:00:00,31.86,99.47,31.09,95.26,56.01,27.76,58.52,1486.3,72.17 -2007-05-02 00:00:00,32.13,100.39,31.26,94.38,55.94,27.95,59.07,1495.92,72.31 -2007-05-03 00:00:00,32.3,100.4,31.29,94.92,55.8,28.28,59.32,1502.39,73.09 -2007-05-04 00:00:00,32.85,100.81,31.13,95.06,55.94,27.91,59.42,1505.62,72.97 -2007-05-07 00:00:00,35.58,103.92,31.2,95.25,55.75,28.04,59.47,1509.48,73.22 -2007-05-08 00:00:00,36.39,105.06,31.07,95.74,55.27,28.08,59.18,1507.72,73.72 -2007-05-09 00:00:00,35.68,106.88,31.22,96.75,55.62,28.11,59.2,1512.58,73.76 -2007-05-10 00:00:00,34.66,107.34,30.82,97.03,54.23,27.92,58.48,1491.47,72.23 -2007-05-11 00:00:00,35.03,108.74,30.98,98.23,54.03,28.21,58.87,1505.85,73.91 -2007-05-14 00:00:00,35.33,109.36,30.67,97.85,54.32,28.28,58.86,1503.15,73.92 -2007-05-15 00:00:00,36.19,107.52,30.7,97.17,53.64,28.31,59.44,1501.19,73.81 -2007-05-16 00:00:00,35.96,107.34,30.86,98.13,54.7,28.46,60.49,1514.14,74.11 -2007-05-17 00:00:00,36.06,109.44,30.61,97.61,54.43,28.38,60.36,1512.75,74.42 -2007-05-18 00:00:00,36.6,110.02,30.97,100.1,55.02,28.24,61.23,1522.75,75.75 -2007-05-21 00:00:00,35.92,111.98,31.09,99.22,55.11,28.45,60.84,1525.1,76.05 -2007-05-22 00:00:00,35.88,113.54,31.29,98.9,55.16,28.12,60.52,1524.12,75.31 -2007-05-23 00:00:00,37.19,112.89,31.5,97.86,55.36,28.02,60.54,1522.28,75.51 -2007-05-24 00:00:00,37.04,110.69,31.32,96.35,55.44,27.64,60.33,1507.51,74.86 -2007-05-25 00:00:00,37.68,113.62,31.47,97.49,55.18,27.92,60.65,1515.73,75.98 -2007-05-29 00:00:00,37.19,114.35,31.34,98.17,55.06,28.21,60.35,1518.11,75.17 -2007-05-30 00:00:00,37.99,118.77,31.61,99.11,55.21,28.5,60.43,1530.23,76.43 -2007-05-31 00:00:00,38.03,121.19,31.49,98.81,55.25,28.12,60.22,1530.62,75.67 -2007-06-01 00:00:00,38.19,118.4,31.38,98.75,55.38,28.02,60.55,1536.34,76.63 -2007-06-04 00:00:00,37.76,121.33,31.68,98.47,55.54,28.14,60.2,1539.18,76.63 -2007-06-05 00:00:00,37.39,122.67,31.34,98.1,55.29,28.02,59.59,1530.95,76.66 -2007-06-06 00:00:00,36.71,123.64,31.24,94.92,54.93,27.75,59.43,1517.38,76.08 -2007-06-07 00:00:00,35.86,124.07,30.8,94.36,54.14,27.14,58.8,1490.72,74.57 -2007-06-08 00:00:00,36.53,124.49,31.27,95.54,54.26,27.53,59.03,1507.67,75.22 -2007-06-11 00:00:00,36.2,120.19,31.39,95.68,54.38,27.5,58.53,1509.12,75.57 -2007-06-12 00:00:00,36.24,120.38,31.04,94.86,54.0,27.35,58.52,1493.0,74.61 -2007-06-13 00:00:00,37.29,117.5,31.54,95.58,54.3,27.84,58.84,1515.67,75.83 -2007-06-14 00:00:00,37.91,118.75,31.67,96.26,54.54,27.96,59.28,1522.97,77.13 -2007-06-15 00:00:00,38.32,120.5,31.94,97.41,54.82,27.93,59.09,1532.91,78.19 -2007-06-18 00:00:00,38.58,125.09,31.9,97.63,54.43,27.95,59.01,1531.05,78.57 -2007-06-19 00:00:00,38.3,123.66,32.92,98.72,54.51,27.91,58.31,1533.7,78.1 -2007-06-20 00:00:00,37.08,121.55,32.74,98.25,54.18,27.49,58.07,1512.84,75.35 -2007-06-21 00:00:00,37.16,123.9,32.74,98.81,54.24,27.69,58.38,1522.19,76.7 -2007-06-22 00:00:00,36.85,123.0,32.27,96.81,53.03,27.02,57.48,1502.56,75.08 -2007-06-25 00:00:00,36.3,122.34,32.25,97.42,53.37,27.02,57.29,1497.74,74.94 -2007-06-26 00:00:00,35.65,119.65,32.09,97.63,53.84,27.04,57.3,1492.89,74.44 -2007-06-27 00:00:00,35.9,121.89,32.12,97.72,53.66,27.36,57.76,1506.34,75.95 -2007-06-28 00:00:00,36.2,120.56,32.17,98.21,53.71,27.33,57.83,1505.71,76.06 -2007-06-29 00:00:00,37.33,122.04,32.31,97.56,53.81,27.0,57.47,1503.35,76.32 -2007-07-02 00:00:00,37.85,121.26,32.29,97.33,54.01,27.25,57.87,1519.43,77.17 -2007-07-03 00:00:00,38.23,127.17,32.66,98.79,54.1,27.5,58.13,1524.87,77.66 -2007-07-05 00:00:00,38.09,132.75,32.53,100.15,54.39,27.47,58.41,1525.4,77.48 -2007-07-06 00:00:00,38.38,132.3,32.47,101.06,54.26,27.46,58.69,1530.44,78.66 -2007-07-09 00:00:00,39.02,130.33,32.59,101.0,54.77,27.36,58.54,1531.85,79.56 -2007-07-10 00:00:00,38.38,132.35,31.98,100.69,54.32,26.87,58.38,1510.12,78.7 -2007-07-11 00:00:00,39.08,132.39,32.24,101.13,54.9,27.02,58.59,1518.76,79.42 -2007-07-12 00:00:00,41.72,134.07,32.91,101.29,55.33,27.55,59.32,1547.7,81.54 -2007-07-13 00:00:00,43.62,137.73,33.34,100.66,55.39,27.32,59.24,1552.5,82.18 -2007-07-16 00:00:00,43.08,138.1,33.86,101.64,55.72,27.51,59.37,1549.52,81.61 -2007-07-17 00:00:00,42.94,138.91,34.36,102.67,54.79,28.2,58.85,1549.37,81.06 -2007-07-18 00:00:00,42.79,138.12,34.14,102.96,54.32,28.33,58.61,1546.17,82.93 -2007-07-19 00:00:00,41.1,140.0,34.36,107.39,54.48,28.87,58.02,1553.08,83.97 -2007-07-20 00:00:00,39.68,143.75,33.86,106.42,53.96,28.55,57.31,1534.1,83.65 -2007-07-23 00:00:00,39.1,143.7,34.45,107.87,54.14,28.57,59.01,1541.57,85.01 -2007-07-24 00:00:00,38.0,134.89,33.94,107.68,53.68,28.22,58.72,1511.04,82.65 -2007-07-25 00:00:00,37.68,137.26,34.11,109.47,53.73,28.13,60.55,1518.09,84.42 -2007-07-26 00:00:00,35.0,146.0,33.36,108.01,53.24,27.47,59.24,1482.66,80.27 -2007-07-27 00:00:00,34.46,143.85,32.74,107.17,52.2,26.93,58.19,1458.95,77.87 -2007-07-30 00:00:00,35.23,141.43,33.14,106.15,52.46,26.93,58.4,1473.91,78.25 -2007-07-31 00:00:00,35.19,131.76,32.71,102.56,52.83,26.56,58.15,1455.27,77.45 -2007-08-01 00:00:00,35.11,135.0,32.87,103.85,53.24,26.84,58.87,1465.81,78.1 -2007-08-02 00:00:00,35.05,136.49,32.94,104.95,53.3,27.04,59.21,1472.2,77.5 -2007-08-03 00:00:00,33.48,131.85,32.12,103.71,52.88,26.53,58.91,1433.06,74.68 -2007-08-06 00:00:00,33.0,135.25,33.0,105.57,54.41,27.06,60.72,1467.67,76.01 -2007-08-07 00:00:00,33.87,135.03,33.32,105.23,54.21,27.07,61.29,1476.71,77.97 -2007-08-08 00:00:00,34.32,134.01,34.15,105.09,54.57,27.48,61.98,1497.49,79.97 -2007-08-09 00:00:00,32.79,126.39,32.86,103.0,53.12,26.84,60.71,1453.09,76.37 -2007-08-10 00:00:00,32.1,125.0,32.26,104.78,53.4,26.3,60.22,1453.64,77.2 -2007-08-13 00:00:00,32.88,127.79,32.21,104.84,53.66,26.23,60.33,1452.92,75.74 -2007-08-14 00:00:00,32.26,124.03,31.8,104.23,53.38,25.99,59.52,1426.54,75.94 -2007-08-15 00:00:00,31.18,119.9,31.14,103.46,53.53,25.83,59.68,1406.7,74.62 -2007-08-16 00:00:00,29.53,117.05,31.39,102.03,53.82,25.57,60.59,1411.27,73.69 -2007-08-17 00:00:00,30.8,122.06,32.45,103.16,54.16,25.97,61.49,1445.94,76.86 -2007-08-20 00:00:00,31.76,122.22,32.25,101.59,54.0,25.98,60.8,1445.55,77.21 -2007-08-21 00:00:00,32.01,127.57,32.36,101.43,53.86,25.81,60.66,1447.12,75.95 -2007-08-22 00:00:00,33.51,132.51,33.03,102.32,54.15,25.94,60.97,1464.07,76.35 -2007-08-23 00:00:00,33.1,131.07,33.01,103.67,54.24,26.02,60.18,1462.5,76.5 -2007-08-24 00:00:00,33.95,135.3,33.26,105.33,54.4,26.49,60.46,1479.37,78.27 -2007-08-27 00:00:00,34.22,132.25,32.91,105.52,54.16,26.19,60.35,1466.79,77.75 -2007-08-28 00:00:00,32.72,126.82,32.11,104.18,53.85,25.68,59.83,1432.36,75.82 -2007-08-29 00:00:00,33.67,134.08,32.67,106.57,54.39,26.28,60.43,1463.76,77.85 -2007-08-30 00:00:00,33.45,136.25,32.41,107.32,54.16,26.16,60.14,1457.64,78.01 -2007-08-31 00:00:00,33.8,138.48,32.8,108.54,54.32,26.41,60.29,1473.99,78.31 -2007-09-04 00:00:00,33.69,144.16,32.95,109.94,54.49,26.49,60.8,1489.42,79.68 -2007-09-05 00:00:00,33.75,136.76,32.7,109.65,54.2,26.18,60.54,1472.29,79.67 -2007-09-06 00:00:00,33.77,135.01,33.25,109.41,54.21,26.58,61.09,1478.55,79.92 -2007-09-07 00:00:00,32.26,131.77,32.7,107.48,54.23,26.15,60.58,1453.55,78.33 -2007-09-10 00:00:00,31.51,136.71,33.07,107.72,54.37,26.18,61.0,1451.7,77.52 -2007-09-11 00:00:00,31.64,135.49,33.34,109.16,54.55,26.6,62.26,1471.49,79.42 -2007-09-12 00:00:00,31.14,136.85,33.67,107.9,54.96,26.6,62.0,1471.56,80.06 -2007-09-13 00:00:00,31.85,137.2,34.19,107.85,55.48,26.81,62.27,1483.95,80.95 -2007-09-14 00:00:00,32.83,138.81,34.05,107.09,55.56,26.7,61.99,1484.25,81.0 -2007-09-17 00:00:00,32.6,138.41,33.91,106.52,55.33,26.41,62.2,1476.65,81.54 -2007-09-18 00:00:00,34.13,140.92,35.17,108.49,56.12,26.6,63.16,1519.78,83.82 -2007-09-19 00:00:00,34.49,140.77,35.25,108.52,56.7,26.36,63.37,1529.03,84.15 -2007-09-20 00:00:00,34.49,140.31,35.04,108.7,56.96,26.13,63.29,1518.75,84.12 -2007-09-21 00:00:00,34.61,144.15,35.05,108.63,57.25,26.34,63.66,1525.75,84.32 -2007-09-24 00:00:00,34.24,148.28,34.71,108.13,57.32,26.73,63.49,1517.73,83.79 -2007-09-25 00:00:00,34.24,153.18,34.92,108.38,57.12,27.18,63.46,1517.21,84.0 -2007-09-26 00:00:00,35.6,152.77,35.06,109.11,57.49,27.12,64.36,1525.42,84.38 -2007-09-27 00:00:00,36.09,154.5,35.17,109.49,57.62,27.11,64.71,1531.38,84.92 -2007-09-28 00:00:00,36.2,153.47,35.17,109.58,57.76,27.08,65.28,1526.75,84.55 -2007-10-01 00:00:00,36.22,156.34,35.7,110.72,58.15,27.37,65.95,1547.04,85.82 -2007-10-02 00:00:00,35.95,158.45,35.79,110.1,58.07,27.3,65.73,1546.63,84.26 -2007-10-03 00:00:00,34.83,157.92,35.3,108.27,58.11,27.07,65.47,1539.59,83.43 -2007-10-04 00:00:00,34.85,156.24,35.43,107.61,58.12,27.31,65.83,1542.84,83.05 -2007-10-05 00:00:00,35.89,161.45,35.49,108.18,58.24,27.43,65.71,1557.59,83.45 -2007-10-08 00:00:00,35.44,167.91,35.28,109.55,58.04,27.43,65.86,1552.58,82.83 -2007-10-09 00:00:00,36.75,167.86,35.7,110.04,58.24,27.67,65.24,1565.15,84.65 -2007-10-10 00:00:00,35.84,166.79,35.52,110.34,57.88,27.79,65.59,1562.47,85.07 -2007-10-11 00:00:00,35.23,162.23,35.34,109.81,57.98,27.5,63.95,1554.41,84.64 -2007-10-12 00:00:00,35.28,167.25,34.86,109.58,57.97,27.74,63.96,1561.8,85.39 -2007-10-15 00:00:00,35.35,166.98,34.68,109.79,57.72,27.62,63.58,1548.71,86.61 -2007-10-16 00:00:00,34.5,169.58,34.64,111.25,57.21,27.87,64.04,1538.53,86.54 -2007-10-17 00:00:00,35.13,172.75,34.83,107.7,57.01,28.57,64.26,1541.24,86.6 -2007-10-18 00:00:00,35.51,173.5,34.66,106.78,57.06,28.65,64.05,1540.08,86.82 -2007-10-19 00:00:00,34.64,170.42,34.02,104.44,56.47,27.74,62.73,1500.63,84.17 -2007-10-22 00:00:00,34.91,174.36,34.13,105.45,56.57,28.05,63.42,1506.33,83.04 -2007-10-23 00:00:00,35.4,186.16,34.39,106.67,56.75,28.41,63.74,1519.59,83.44 -2007-10-24 00:00:00,35.35,185.93,34.18,105.06,56.65,28.73,63.98,1515.88,84.16 -2007-10-25 00:00:00,35.52,182.78,34.12,104.93,56.22,29.41,64.14,1514.4,83.65 -2007-10-26 00:00:00,36.41,184.7,34.31,105.79,56.53,32.2,64.46,1535.28,84.23 -2007-10-29 00:00:00,37.41,185.09,34.46,106.78,57.13,31.78,65.67,1540.98,85.51 -2007-10-30 00:00:00,36.43,187.0,34.39,106.15,56.99,32.7,65.8,1531.02,83.25 -2007-10-31 00:00:00,36.79,189.95,34.97,108.01,57.3,33.84,65.69,1549.38,84.03 -2007-11-01 00:00:00,35.22,187.44,34.27,105.72,56.85,34.07,64.51,1508.44,80.84 -2007-11-02 00:00:00,35.83,187.87,34.27,106.59,56.95,34.07,65.03,1509.65,80.32 -2007-11-05 00:00:00,35.22,186.18,34.15,105.48,56.7,33.77,64.84,1502.17,80.07 -2007-11-06 00:00:00,35.84,191.79,34.14,105.27,56.8,33.47,65.49,1520.27,82.56 -2007-11-07 00:00:00,34.76,186.3,33.2,103.69,56.19,32.65,64.46,1475.62,79.96 -2007-11-08 00:00:00,35.0,175.47,33.15,99.05,56.79,31.94,65.5,1474.77,82.0 -2007-11-09 00:00:00,34.47,165.37,32.61,93.58,57.29,31.01,65.48,1453.7,79.64 -2007-11-12 00:00:00,33.33,153.76,32.5,94.7,58.3,30.69,64.67,1439.18,77.52 -2007-11-13 00:00:00,34.04,169.96,33.31,98.27,59.18,31.79,65.35,1481.05,79.67 -2007-11-14 00:00:00,34.25,166.11,33.14,96.56,58.81,31.3,65.99,1470.58,79.15 -2007-11-15 00:00:00,33.76,164.3,32.55,96.71,58.8,31.14,65.57,1451.15,77.48 -2007-11-16 00:00:00,33.74,166.39,32.84,97.82,59.56,31.44,66.08,1458.74,78.04 -2007-11-19 00:00:00,32.59,163.95,32.42,95.42,59.42,31.32,66.9,1433.27,77.13 -2007-11-20 00:00:00,32.88,168.85,32.32,96.54,59.47,31.9,66.69,1439.7,80.53 -2007-11-21 00:00:00,32.68,168.46,31.58,95.42,59.03,31.57,66.87,1416.77,79.82 -2007-11-23 00:00:00,32.66,171.54,32.01,97.13,59.16,31.46,67.29,1440.7,80.96 -2007-11-26 00:00:00,32.41,172.54,31.21,95.19,59.6,30.41,66.56,1407.22,78.57 -2007-11-27 00:00:00,32.56,174.81,31.82,96.92,59.92,30.49,67.65,1428.23,79.21 -2007-11-28 00:00:00,33.65,180.22,32.68,100.23,60.46,31.08,68.76,1469.02,80.62 -2007-11-29 00:00:00,33.97,184.29,32.4,100.35,60.51,30.98,68.2,1469.72,81.24 -2007-11-30 00:00:00,33.8,182.22,32.53,98.18,59.93,30.99,68.78,1481.14,81.76 -2007-12-03 00:00:00,32.98,178.86,31.38,98.79,59.9,30.36,68.24,1472.42,81.48 -2007-12-04 00:00:00,32.76,179.81,30.8,99.54,60.1,30.23,68.3,1462.79,80.81 -2007-12-05 00:00:00,33.09,185.5,31.19,100.97,60.34,31.5,68.3,1485.01,82.46 -2007-12-06 00:00:00,33.32,189.95,31.66,102.4,60.42,31.87,68.98,1507.34,83.85 -2007-12-07 00:00:00,34.3,194.3,31.63,101.62,59.87,31.85,68.95,1504.66,83.91 -2007-12-10 00:00:00,35.17,194.21,31.78,102.11,59.97,32.06,69.2,1515.96,84.39 -2007-12-11 00:00:00,33.58,188.54,31.46,99.87,59.76,31.45,68.49,1477.65,82.79 -2007-12-12 00:00:00,34.27,190.86,31.65,101.25,59.89,31.79,69.93,1486.59,84.29 -2007-12-13 00:00:00,33.76,191.83,31.93,100.98,60.04,32.49,70.47,1488.41,85.03 -2007-12-14 00:00:00,32.7,190.39,31.36,98.73,59.79,32.57,70.26,1467.95,83.61 -2007-12-17 00:00:00,31.5,184.4,30.99,97.58,59.76,31.72,69.28,1445.9,82.43 -2007-12-18 00:00:00,31.97,182.98,31.27,99.24,59.9,32.04,68.97,1454.98,83.83 -2007-12-19 00:00:00,32.05,183.12,31.07,100.01,59.55,32.09,68.76,1453.0,83.84 -2007-12-20 00:00:00,32.89,187.21,31.29,101.6,59.56,32.76,68.5,1460.12,84.48 -2007-12-21 00:00:00,33.78,193.91,31.82,103.66,60.18,33.26,69.27,1484.46,85.68 -2007-12-24 00:00:00,34.39,198.8,32.16,104.22,60.04,33.74,69.59,1496.45,85.89 -2007-12-26 00:00:00,34.76,198.95,32.18,104.14,59.77,33.77,69.2,1497.66,86.94 -2007-12-27 00:00:00,34.37,198.57,31.87,102.31,59.56,33.18,68.68,1476.27,85.9 -2007-12-28 00:00:00,34.25,199.83,32.0,102.77,59.61,33.32,68.98,1478.49,87.12 -2007-12-31 00:00:00,33.97,198.08,31.76,100.91,59.01,32.84,67.97,1468.36,85.91 -2008-01-02 00:00:00,33.58,194.84,31.5,97.73,58.31,32.49,67.42,1447.16,85.75 -2008-01-03 00:00:00,33.63,194.93,31.53,97.92,58.32,32.62,67.86,1447.16,86.04 -2008-01-04 00:00:00,32.4,180.05,30.88,94.4,58.24,31.71,67.65,1411.63,84.44 -2008-01-07 00:00:00,30.77,177.64,31.0,93.39,59.15,31.92,69.24,1416.18,83.65 -2008-01-08 00:00:00,28.81,171.25,30.33,91.1,59.22,30.85,69.79,1390.19,82.58 -2008-01-09 00:00:00,29.04,179.4,30.68,91.77,59.98,31.77,70.51,1409.13,83.96 -2008-01-10 00:00:00,29.22,178.02,30.78,93.27,60.08,31.67,71.25,1420.33,84.05 -2008-01-11 00:00:00,29.49,172.69,30.14,91.17,60.05,31.28,69.65,1401.02,82.81 -2008-01-14 00:00:00,30.57,178.78,30.39,96.08,60.11,31.72,68.88,1416.25,83.29 -2008-01-15 00:00:00,28.98,169.04,29.59,95.06,59.94,31.36,67.01,1380.95,81.63 -2008-01-16 00:00:00,28.46,159.64,29.61,94.87,60.43,30.65,65.85,1373.2,79.35 -2008-01-17 00:00:00,26.75,160.89,28.46,94.37,60.0,30.54,64.56,1333.25,76.95 -2008-01-18 00:00:00,27.04,161.36,29.4,96.52,58.64,30.45,63.99,1325.19,78.02 -2008-01-22 00:00:00,26.75,155.64,29.18,94.49,57.74,29.48,62.18,1310.5,75.61 -2008-01-23 00:00:00,27.13,139.07,29.64,99.04,56.79,29.45,63.13,1338.6,76.52 -2008-01-24 00:00:00,28.63,135.6,29.69,99.8,56.18,30.67,62.44,1352.07,78.86 -2008-01-25 00:00:00,28.52,130.01,29.13,97.57,55.25,30.38,61.72,1330.61,76.97 -2008-01-28 00:00:00,29.24,130.01,29.75,98.0,55.79,30.18,62.93,1353.96,78.07 -2008-01-29 00:00:00,30.35,131.54,29.79,99.04,55.71,30.07,61.46,1362.3,78.02 -2008-01-30 00:00:00,30.39,132.18,29.94,98.62,55.01,29.7,60.35,1355.81,78.2 -2008-01-31 00:00:00,30.75,135.36,30.3,99.99,55.86,30.07,60.94,1378.55,78.59 -2008-02-01 00:00:00,31.86,133.75,30.99,101.82,56.05,28.09,61.64,1395.42,78.82 -2008-02-04 00:00:00,31.67,131.65,30.31,100.75,56.15,27.85,61.99,1380.82,78.35 -2008-02-05 00:00:00,30.36,129.36,29.31,98.03,55.62,26.81,60.85,1336.64,75.3 -2008-02-06 00:00:00,30.28,122.0,29.31,97.07,55.78,26.31,59.76,1326.45,74.68 -2008-02-07 00:00:00,30.62,121.24,29.33,95.9,55.56,25.94,63.05,1336.91,75.42 -2008-02-08 00:00:00,31.54,125.48,29.0,96.77,54.87,26.34,62.51,1331.29,75.25 -2008-02-11 00:00:00,31.82,129.45,29.14,98.52,54.74,26.02,63.54,1339.13,76.64 -2008-02-12 00:00:00,31.28,124.86,29.45,99.82,55.71,26.14,64.44,1348.86,77.71 -2008-02-13 00:00:00,33.17,129.4,29.97,101.59,56.09,26.71,64.14,1367.21,78.73 -2008-02-14 00:00:00,33.03,127.46,29.47,99.45,55.55,26.29,64.09,1348.86,78.79 -2008-02-15 00:00:00,33.37,124.63,29.45,99.48,55.64,26.21,64.23,1349.99,78.62 -2008-02-19 00:00:00,33.82,122.18,29.37,98.39,56.32,26.08,63.7,1348.78,80.13 -2008-02-20 00:00:00,34.4,123.82,29.44,101.06,55.94,26.13,63.69,1360.03,81.14 -2008-02-21 00:00:00,33.91,121.54,29.13,100.2,55.71,26.02,63.65,1342.53,80.05 -2008-02-22 00:00:00,34.14,119.46,29.01,101.27,56.26,25.63,63.92,1353.11,80.28 -2008-02-25 00:00:00,36.29,119.74,29.58,103.15,56.86,25.78,64.11,1371.8,82.09 -2008-02-26 00:00:00,35.96,119.15,29.35,107.18,56.74,26.28,63.87,1381.29,82.79 -2008-02-27 00:00:00,36.45,122.96,29.42,109.13,56.14,26.17,63.76,1380.02,82.33 -2008-02-28 00:00:00,36.54,129.91,29.27,107.99,55.84,25.86,63.63,1367.68,82.32 -2008-02-29 00:00:00,34.69,125.02,28.66,106.69,55.18,25.19,62.29,1330.63,80.13 -2008-03-03 00:00:00,35.8,121.73,28.88,107.04,55.42,24.99,62.84,1331.34,80.82 -2008-03-04 00:00:00,35.5,124.62,28.98,108.43,55.78,25.55,62.72,1326.75,79.84 -2008-03-05 00:00:00,36.16,124.49,29.11,108.13,56.22,26.04,63.27,1333.7,80.3 -2008-03-06 00:00:00,35.84,120.93,28.41,105.44,55.77,25.53,63.13,1304.34,77.83 -2008-03-07 00:00:00,34.19,122.25,27.87,106.77,54.77,25.81,62.65,1293.37,75.97 -2008-03-10 00:00:00,33.29,119.69,27.41,106.83,54.61,25.97,62.14,1273.37,75.94 -2008-03-11 00:00:00,35.27,127.35,28.88,109.16,55.6,27.11,62.98,1320.65,79.83 -2008-03-12 00:00:00,35.3,126.03,29.36,109.7,55.7,26.51,62.63,1308.77,79.18 -2008-03-13 00:00:00,35.94,127.94,29.62,108.61,55.93,26.5,62.34,1315.48,80.17 -2008-03-14 00:00:00,35.86,126.61,29.24,107.98,55.79,25.89,61.63,1288.14,79.12 -2008-03-17 00:00:00,34.66,126.73,29.68,108.28,57.03,26.2,62.26,1276.6,79.01 -2008-03-18 00:00:00,36.06,132.82,31.25,110.96,58.16,27.24,63.04,1330.74,81.48 -2008-03-19 00:00:00,33.27,129.67,30.77,109.58,57.78,26.5,63.18,1298.42,77.76 -2008-03-20 00:00:00,32.4,133.27,32.42,110.88,58.22,27.02,64.09,1329.51,78.28 -2008-03-24 00:00:00,32.73,139.53,32.34,111.57,57.78,27.01,64.33,1349.88,79.16 -2008-03-25 00:00:00,33.39,140.98,32.23,110.54,57.48,26.98,64.41,1352.99,78.47 -2008-03-26 00:00:00,33.66,145.06,32.11,109.55,57.62,26.45,64.07,1341.13,79.44 -2008-03-27 00:00:00,33.05,140.25,31.85,108.25,57.54,25.97,64.09,1325.76,79.39 -2008-03-28 00:00:00,33.73,143.01,31.66,107.36,57.15,25.84,64.43,1315.22,78.49 -2008-03-31 00:00:00,33.69,143.5,32.0,107.89,57.77,26.28,65.0,1322.7,77.9 -2008-04-01 00:00:00,34.13,149.53,33.23,109.16,58.66,27.32,64.94,1370.18,80.14 -2008-04-02 00:00:00,34.03,147.49,32.88,107.58,58.16,27.0,64.3,1367.53,81.52 -2008-04-03 00:00:00,36.0,151.61,32.72,108.72,58.12,26.85,64.28,1369.31,81.26 -2008-04-04 00:00:00,36.43,153.08,32.48,108.47,58.53,27.0,64.4,1370.4,81.73 -2008-04-07 00:00:00,34.97,155.89,32.22,108.99,58.9,27.0,64.7,1372.54,81.89 -2008-04-08 00:00:00,34.73,152.84,31.95,108.95,59.06,26.62,64.17,1365.54,82.53 -2008-04-09 00:00:00,34.41,151.44,31.51,109.42,59.03,26.75,63.89,1354.49,82.61 -2008-04-10 00:00:00,33.73,154.55,31.78,111.3,59.07,26.95,64.55,1360.55,82.47 -2008-04-11 00:00:00,32.84,147.14,27.71,108.7,58.77,26.19,64.28,1332.83,81.62 -2008-04-14 00:00:00,31.7,147.78,27.45,109.9,58.54,25.98,63.88,1328.32,82.61 -2008-04-15 00:00:00,32.55,148.38,27.65,109.79,58.46,26.16,64.12,1334.43,83.62 -2008-04-16 00:00:00,33.6,153.7,27.87,112.89,58.51,26.81,64.02,1364.71,85.55 -2008-04-17 00:00:00,33.23,154.49,27.69,115.33,58.56,27.06,63.71,1365.56,86.0 -2008-04-18 00:00:00,33.87,161.04,28.27,116.57,59.23,27.78,63.56,1390.33,86.57 -2008-04-21 00:00:00,33.86,168.16,28.07,116.52,59.06,28.17,62.93,1388.17,86.81 -2008-04-22 00:00:00,33.35,160.2,27.96,115.88,59.65,28.01,62.21,1375.94,86.93 -2008-04-23 00:00:00,33.0,162.89,27.98,115.82,59.9,29.12,62.29,1379.93,86.77 -2008-04-24 00:00:00,32.56,168.94,28.37,116.37,59.99,29.45,61.22,1388.82,85.28 -2008-04-25 00:00:00,33.37,169.73,28.82,115.33,59.94,27.62,60.88,1397.84,85.15 -2008-04-28 00:00:00,33.39,172.24,28.68,114.03,59.95,26.84,61.36,1396.37,85.14 -2008-04-29 00:00:00,32.37,175.05,28.38,115.12,59.83,26.52,61.4,1390.94,84.54 -2008-04-30 00:00:00,32.65,173.95,28.28,113.1,59.74,26.41,61.7,1385.59,85.71 -2008-05-01 00:00:00,32.59,180.0,28.64,115.83,60.38,27.22,61.67,1409.34,82.61 -2008-05-02 00:00:00,33.9,180.94,28.83,115.43,60.79,27.08,62.21,1413.9,82.53 -2008-05-05 00:00:00,34.63,184.73,28.69,114.35,60.46,26.93,61.73,1407.49,82.44 -2008-05-06 00:00:00,35.67,186.66,28.53,115.09,60.18,27.5,61.73,1418.26,82.95 -2008-05-07 00:00:00,35.76,182.59,28.16,116.8,59.58,27.05,61.23,1392.57,81.8 -2008-05-08 00:00:00,37.22,185.06,28.18,117.53,59.57,27.1,60.81,1397.68,82.82 -2008-05-09 00:00:00,36.65,183.45,27.9,116.73,59.26,27.21,60.78,1388.28,82.17 -2008-05-12 00:00:00,39.06,188.16,28.02,117.84,59.41,27.77,60.64,1403.58,82.51 -2008-05-13 00:00:00,39.54,189.96,27.96,119.1,59.14,27.68,60.55,1403.04,82.96 -2008-05-14 00:00:00,39.43,186.26,28.11,119.98,59.49,27.82,60.41,1408.66,83.17 -2008-05-15 00:00:00,40.12,189.73,27.99,120.87,59.38,28.3,61.28,1423.57,84.46 -2008-05-16 00:00:00,40.51,187.62,27.78,120.26,59.38,27.87,61.1,1425.35,85.73 -2008-05-19 00:00:00,41.86,183.6,28.02,119.01,59.33,27.38,61.25,1426.63,87.29 -2008-05-20 00:00:00,40.58,185.9,27.43,117.78,58.91,26.73,60.73,1413.4,87.48 -2008-05-21 00:00:00,39.15,178.19,26.8,116.31,58.53,26.25,60.56,1390.71,86.65 -2008-05-22 00:00:00,38.3,177.05,26.81,117.33,58.66,26.46,61.56,1394.35,85.58 -2008-05-23 00:00:00,37.79,181.17,26.31,116.86,58.22,26.07,61.45,1375.93,83.91 -2008-05-27 00:00:00,37.91,186.43,26.29,119.79,58.42,26.43,62.13,1385.35,83.07 -2008-05-28 00:00:00,39.02,187.01,26.42,121.88,58.18,26.19,61.16,1390.84,83.66 -2008-05-29 00:00:00,37.87,186.69,26.49,122.04,59.56,26.31,61.97,1398.26,82.66 -2008-05-30 00:00:00,38.1,188.75,26.56,121.78,59.85,26.32,61.49,1400.38,82.11 -2008-06-02 00:00:00,38.14,186.1,26.3,119.83,59.64,25.84,60.82,1385.67,81.23 -2008-06-03 00:00:00,37.17,185.37,26.34,120.28,59.87,25.38,60.37,1377.65,79.29 -2008-06-04 00:00:00,36.52,185.19,26.33,120.01,59.68,25.59,60.41,1377.2,79.33 -2008-06-05 00:00:00,37.63,189.43,26.86,120.87,60.05,26.3,60.97,1404.05,82.62 -2008-06-06 00:00:00,36.82,185.64,25.96,117.55,58.97,25.55,59.36,1360.68,80.29 -2008-06-09 00:00:00,39.59,181.61,25.99,118.42,58.86,25.75,59.23,1361.76,82.4 -2008-06-10 00:00:00,40.1,185.64,26.23,118.49,58.85,25.92,61.23,1358.44,81.31 -2008-06-11 00:00:00,36.91,180.81,25.79,115.96,58.47,25.2,61.15,1335.49,81.97 -2008-06-12 00:00:00,35.43,173.26,25.12,116.53,58.91,26.25,61.57,1339.87,80.54 -2008-06-13 00:00:00,37.04,172.37,25.21,118.69,59.43,27.02,61.19,1360.03,81.74 -2008-06-16 00:00:00,37.27,176.84,25.05,119.22,59.04,26.89,59.84,1360.14,81.4 -2008-06-17 00:00:00,37.03,181.43,24.95,117.7,58.82,26.77,59.68,1350.93,81.98 -2008-06-18 00:00:00,36.71,178.75,24.39,116.82,57.79,26.45,58.95,1337.81,81.25 -2008-06-19 00:00:00,36.72,180.9,24.4,117.63,57.95,26.89,59.7,1342.83,79.36 -2008-06-20 00:00:00,35.05,175.27,23.94,115.48,57.45,26.24,58.97,1317.93,78.55 -2008-06-23 00:00:00,35.4,173.16,23.96,116.16,57.65,25.99,58.56,1318.0,81.13 -2008-06-24 00:00:00,34.63,173.25,24.12,116.16,58.04,25.77,58.01,1314.29,80.41 -2008-06-25 00:00:00,34.68,177.39,24.47,117.21,58.54,26.35,59.36,1321.97,81.04 -2008-06-26 00:00:00,33.14,168.26,23.2,113.97,57.63,25.79,58.68,1283.15,79.94 -2008-06-27 00:00:00,33.21,170.09,22.96,112.95,57.01,25.68,57.92,1278.38,80.07 -2008-06-30 00:00:00,33.44,167.44,23.33,111.52,57.7,25.57,57.62,1280.0,81.53 -2008-07-01 00:00:00,32.33,174.68,23.71,112.22,58.01,24.97,58.35,1284.91,81.73 -2008-07-02 00:00:00,30.14,168.18,23.18,112.06,57.97,24.05,59.58,1261.52,80.86 -2008-07-03 00:00:00,30.77,170.12,23.53,112.47,58.4,24.15,60.5,1262.9,81.66 -2008-07-07 00:00:00,31.35,175.16,23.69,114.32,58.51,24.19,60.36,1252.31,80.44 -2008-07-08 00:00:00,30.35,179.55,24.53,116.56,59.38,24.02,59.65,1273.7,79.5 -2008-07-09 00:00:00,29.61,174.25,23.77,113.28,59.35,23.45,59.21,1244.69,77.99 -2008-07-10 00:00:00,32.48,176.63,24.17,115.9,60.03,23.65,59.43,1253.39,79.61 -2008-07-11 00:00:00,32.52,172.58,24.18,114.9,59.42,23.47,58.58,1239.49,79.08 -2008-07-14 00:00:00,32.8,173.88,23.76,114.35,59.55,23.37,58.81,1228.3,79.02 -2008-07-15 00:00:00,32.4,169.64,23.3,115.92,60.71,24.3,59.41,1214.91,76.03 -2008-07-16 00:00:00,32.65,172.81,24.2,118.49,61.15,25.33,59.88,1245.36,74.76 -2008-07-17 00:00:00,31.67,171.81,24.48,119.04,60.83,25.58,59.37,1260.32,74.31 -2008-07-18 00:00:00,31.74,165.15,24.48,122.21,60.82,24.03,59.26,1260.68,75.43 -2008-07-21 00:00:00,31.88,166.29,24.21,121.05,60.18,23.83,58.39,1260.0,76.76 -2008-07-22 00:00:00,31.81,162.02,24.92,122.31,60.97,23.98,59.97,1277.0,76.65 -2008-07-23 00:00:00,30.73,166.26,25.64,121.86,61.22,24.56,61.36,1282.19,74.92 -2008-07-24 00:00:00,29.36,159.03,25.1,122.31,61.57,23.64,61.07,1252.54,74.75 -2008-07-25 00:00:00,29.86,162.12,25.1,120.93,61.9,24.31,60.9,1257.76,75.58 -2008-07-28 00:00:00,30.66,154.4,24.21,118.79,61.41,23.7,60.44,1234.37,74.64 -2008-07-29 00:00:00,31.32,157.08,24.83,120.11,61.41,24.27,60.69,1263.2,74.84 -2008-07-30 00:00:00,32.71,159.88,25.33,121.24,61.05,24.38,60.62,1284.26,78.06 -2008-07-31 00:00:00,31.68,158.95,24.73,120.41,61.4,23.9,60.31,1267.38,74.4 -2008-08-01 00:00:00,30.17,156.66,24.66,119.15,61.07,23.64,60.37,1260.31,73.75 -2008-08-04 00:00:00,29.14,153.23,24.63,120.02,61.86,23.49,61.31,1249.01,70.86 -2008-08-05 00:00:00,29.88,160.64,25.57,121.25,63.18,24.36,62.08,1284.88,72.48 -2008-08-06 00:00:00,30.36,164.19,25.35,122.0,63.73,25.11,62.1,1289.19,72.46 -2008-08-07 00:00:00,30.01,163.57,24.98,121.89,63.36,25.46,61.57,1266.07,71.64 -2008-08-08 00:00:00,29.98,169.55,25.91,121.67,64.16,26.14,62.83,1296.32,72.82 -2008-08-11 00:00:00,29.47,173.56,26.19,119.58,64.26,25.93,62.76,1305.32,72.67 -2008-08-12 00:00:00,29.22,176.73,26.0,118.28,64.3,26.13,63.08,1289.59,71.48 -2008-08-13 00:00:00,30.44,179.3,25.63,118.82,63.85,25.94,63.19,1285.83,72.68 -2008-08-14 00:00:00,30.07,179.32,25.81,119.9,63.84,25.94,63.37,1292.93,72.01 -2008-08-15 00:00:00,30.02,175.74,26.05,119.35,63.97,25.85,63.6,1298.2,71.66 -2008-08-18 00:00:00,29.36,175.39,25.66,117.68,63.75,25.73,63.25,1278.6,71.16 -2008-08-19 00:00:00,29.36,173.53,25.1,115.76,63.81,25.49,63.51,1266.69,72.48 -2008-08-20 00:00:00,29.93,175.84,25.05,115.72,63.74,25.46,63.29,1274.54,73.28 -2008-08-21 00:00:00,30.33,174.29,25.14,116.17,63.92,25.36,62.87,1277.72,74.71 -2008-08-22 00:00:00,30.47,176.79,25.46,118.0,64.46,25.98,63.33,1292.2,74.66 -2008-08-25 00:00:00,29.65,172.55,24.76,116.05,63.9,25.81,62.56,1266.84,73.19 -2008-08-26 00:00:00,29.83,173.64,24.72,115.71,63.82,25.45,62.25,1271.51,74.34 -2008-08-27 00:00:00,30.28,174.67,24.67,116.54,64.27,25.72,62.7,1281.66,74.82 -2008-08-28 00:00:00,30.58,173.74,25.21,117.67,64.45,26.07,62.69,1300.68,75.48 -2008-08-29 00:00:00,30.32,169.53,24.57,114.98,63.57,25.46,62.05,1282.83,74.39 -2008-09-02 00:00:00,28.75,166.19,24.94,111.84,64.74,25.29,62.93,1277.58,71.89 -2008-09-03 00:00:00,28.13,166.96,24.98,111.78,64.55,25.1,63.08,1274.98,72.54 -2008-09-04 00:00:00,26.95,161.22,24.22,108.62,63.59,24.59,62.35,1236.83,70.8 -2008-09-05 00:00:00,26.71,160.18,24.38,107.99,63.79,23.93,62.83,1242.31,70.31 -2008-09-08 00:00:00,25.99,157.92,25.43,110.79,65.19,24.37,64.12,1267.79,71.38 -2008-09-09 00:00:00,25.31,151.68,24.59,108.66,64.39,24.35,64.73,1224.51,68.12 -2008-09-10 00:00:00,25.66,151.61,24.56,111.49,64.29,24.67,65.48,1232.04,69.97 -2008-09-11 00:00:00,26.07,152.65,24.62,112.59,64.23,25.51,66.2,1249.05,70.26 -2008-09-12 00:00:00,27.06,148.94,23.39,112.37,63.71,25.77,66.69,1251.7,72.06 -2008-09-15 00:00:00,25.42,140.36,21.51,108.8,62.83,25.03,65.96,1192.7,68.11 -2008-09-16 00:00:00,25.01,139.88,21.91,109.61,63.0,24.25,66.53,1213.6,71.07 -2008-09-17 00:00:00,23.76,127.83,20.45,105.29,62.74,22.93,65.35,1156.39,70.0 -2008-09-18 00:00:00,24.42,134.09,21.96,108.74,64.02,23.57,66.76,1206.51,72.29 -2008-09-19 00:00:00,25.28,140.91,23.59,112.26,63.17,23.48,66.72,1255.08,74.02 -2008-09-22 00:00:00,25.29,131.05,23.17,109.77,61.75,23.7,64.8,1207.09,73.34 -2008-09-23 00:00:00,24.15,126.84,22.11,108.96,61.51,23.74,64.5,1188.22,72.24 -2008-09-24 00:00:00,24.18,128.71,21.79,110.0,61.55,24.0,63.9,1185.87,72.55 -2008-09-25 00:00:00,23.52,131.93,22.75,113.45,62.6,24.83,65.0,1209.18,75.01 -2008-09-26 00:00:00,22.22,128.24,22.37,112.8,62.64,25.57,65.37,1213.27,74.99 -2008-09-29 00:00:00,20.18,105.26,20.47,108.11,60.38,23.34,63.5,1106.42,68.86 -2008-09-30 00:00:00,21.31,113.66,22.59,110.47,62.53,24.9,64.97,1166.36,72.21 -2008-10-01 00:00:00,20.07,109.12,21.71,104.02,61.19,24.71,65.31,1161.06,73.06 -2008-10-02 00:00:00,18.29,100.1,19.63,98.93,61.19,24.49,64.64,1114.28,72.06 -2008-10-03 00:00:00,18.16,97.07,19.11,97.7,59.72,24.56,62.9,1099.23,72.47 -2008-10-06 00:00:00,17.09,98.14,18.94,95.04,58.22,23.24,60.75,1056.89,71.89 -2008-10-07 00:00:00,15.77,89.16,17.99,90.35,56.4,21.68,59.36,996.23,70.73 -2008-10-08 00:00:00,13.88,89.79,18.3,85.53,56.29,21.47,57.99,984.94,71.6 -2008-10-09 00:00:00,11.76,88.74,16.84,84.06,51.97,20.81,54.26,909.92,63.23 -2008-10-10 00:00:00,10.62,96.8,19.05,82.88,50.41,20.06,52.69,899.22,57.98 -2008-10-13 00:00:00,13.04,110.26,18.61,87.1,56.58,23.79,56.31,1003.35,67.95 -2008-10-14 00:00:00,12.26,104.08,18.47,88.41,57.77,22.49,49.59,998.01,67.37 -2008-10-15 00:00:00,10.69,97.95,17.06,83.39,54.64,21.14,46.72,907.84,57.97 -2008-10-16 00:00:00,11.52,101.89,17.62,86.44,57.32,22.57,48.39,946.43,64.58 -2008-10-17 00:00:00,11.14,97.4,17.39,85.75,56.55,22.33,49.12,940.55,63.26 -2008-10-20 00:00:00,11.71,98.44,17.84,87.38,58.16,23.07,51.74,985.4,69.73 -2008-10-21 00:00:00,11.47,91.49,18.03,83.93,57.46,21.8,50.14,955.05,66.48 -2008-10-22 00:00:00,9.93,96.87,16.8,78.96,55.44,20.09,48.9,896.78,60.04 -2008-10-23 00:00:00,9.43,98.23,16.66,79.67,56.37,20.83,48.75,908.11,65.45 -2008-10-24 00:00:00,8.88,96.38,15.8,77.52,54.87,20.49,47.19,876.77,64.19 -2008-10-27 00:00:00,8.53,92.09,15.71,75.24,54.29,19.76,46.94,848.92,61.45 -2008-10-28 00:00:00,10.17,99.91,17.27,82.44,57.94,21.55,50.9,940.51,69.61 -2008-10-29 00:00:00,10.52,104.55,17.01,83.31,55.54,21.46,50.14,930.09,69.41 -2008-10-30 00:00:00,10.81,111.04,17.14,85.66,54.67,21.12,52.04,954.09,69.78 -2008-10-31 00:00:00,10.85,107.59,17.29,87.81,55.37,20.84,51.97,968.75,68.92 -2008-11-03 00:00:00,11.21,106.96,17.1,87.54,55.2,21.11,52.39,966.3,69.08 -2008-11-04 00:00:00,11.77,110.99,18.4,88.22,55.86,21.96,53.18,1005.75,72.05 -2008-11-05 00:00:00,11.29,103.3,17.66,84.95,54.02,20.6,51.97,952.77,68.52 -2008-11-06 00:00:00,9.82,99.1,16.25,80.88,52.28,19.48,50.0,904.88,65.05 -2008-11-07 00:00:00,10.71,98.24,16.71,81.94,54.35,20.06,50.47,930.99,69.15 -2008-11-10 00:00:00,11.27,95.88,16.35,79.66,54.17,19.87,49.78,919.21,69.22 -2008-11-11 00:00:00,10.47,94.77,15.78,78.59,53.75,19.78,50.21,898.95,67.94 -2008-11-12 00:00:00,9.73,90.12,14.43,75.74,52.28,18.94,48.41,852.3,64.46 -2008-11-13 00:00:00,10.72,96.44,14.94,79.98,56.77,19.83,50.68,911.29,70.52 -2008-11-14 00:00:00,10.37,90.24,14.19,76.3,54.2,18.72,48.79,873.29,68.9 -2008-11-17 00:00:00,9.25,88.14,14.27,73.59,53.5,18.03,48.29,850.75,68.62 -2008-11-18 00:00:00,9.07,89.91,14.23,76.06,54.96,18.43,48.44,859.12,71.38 -2008-11-19 00:00:00,7.81,86.29,12.8,72.16,52.46,17.18,47.5,806.58,68.66 -2008-11-20 00:00:00,6.55,80.49,11.38,68.14,50.37,16.47,45.85,752.44,64.07 -2008-11-21 00:00:00,8.08,82.58,12.43,71.12,53.1,18.49,49.77,800.03,70.89 -2008-11-24 00:00:00,8.76,92.95,13.52,75.88,53.8,19.44,50.74,851.81,73.69 -2008-11-25 00:00:00,9.28,90.8,13.97,76.6,53.42,18.78,49.23,857.39,73.05 -2008-11-26 00:00:00,10.03,95.0,14.34,77.57,53.03,19.25,50.08,887.68,75.64 -2008-11-28 00:00:00,10.3,92.67,15.21,77.51,53.31,18.99,51.69,896.24,74.95 -2008-12-01 00:00:00,8.91,88.93,13.73,73.04,50.36,17.48,48.9,816.21,69.49 -2008-12-02 00:00:00,9.34,92.47,15.6,75.83,51.72,17.99,49.64,848.81,72.58 -2008-12-03 00:00:00,8.89,95.9,16.06,76.62,52.17,18.67,49.69,870.74,73.81 -2008-12-04 00:00:00,7.71,91.41,15.55,73.55,51.13,17.95,48.08,845.22,71.32 -2008-12-05 00:00:00,7.8,94.0,15.82,76.55,53.0,18.67,49.04,876.07,71.63 -2008-12-08 00:00:00,9.17,99.72,16.73,80.6,53.49,19.74,49.25,909.7,74.44 -2008-12-09 00:00:00,9.14,100.06,15.75,78.54,52.61,19.35,48.03,888.67,73.13 -2008-12-10 00:00:00,9.76,98.21,15.95,78.7,52.6,19.36,48.71,899.24,74.88 -2008-12-11 00:00:00,9.55,95.0,15.11,76.54,53.01,18.27,48.43,873.59,74.83 -2008-12-12 00:00:00,9.64,98.27,15.16,78.08,52.1,18.19,47.8,879.73,75.23 -2008-12-15 00:00:00,9.48,94.75,15.02,78.62,52.61,17.89,48.16,868.57,74.77 -2008-12-16 00:00:00,9.94,95.43,15.88,82.06,54.24,18.89,49.81,913.18,77.75 -2008-12-17 00:00:00,9.9,89.16,15.41,81.53,53.5,18.47,49.92,904.42,75.8 -2008-12-18 00:00:00,9.35,89.43,14.14,79.79,53.69,18.13,50.27,885.28,72.01 -2008-12-19 00:00:00,9.28,90.0,14.62,79.33,53.55,17.96,49.7,887.88,70.16 -2008-12-22 00:00:00,8.83,85.74,14.24,77.88,53.63,18.02,49.39,871.63,70.05 -2008-12-23 00:00:00,9.16,86.38,14.56,76.56,53.4,18.11,49.77,863.16,70.23 -2008-12-24 00:00:00,8.98,85.04,14.55,76.48,53.3,18.01,50.11,868.15,70.87 -2008-12-26 00:00:00,9.36,85.81,14.42,77.25,53.3,17.97,50.13,872.8,72.18 -2008-12-29 00:00:00,9.31,86.61,14.14,77.17,52.92,17.81,49.68,869.42,72.96 -2008-12-30 00:00:00,10.23,86.29,14.29,79.36,53.85,18.17,50.42,890.64,73.49 -2008-12-31 00:00:00,10.77,85.35,14.63,79.94,54.45,18.26,50.32,903.25,74.65 -2009-01-02 00:00:00,11.59,90.75,15.42,82.99,55.2,19.1,51.42,931.8,76.35 -2009-01-05 00:00:00,11.35,94.58,15.02,82.46,54.65,19.28,51.09,927.45,76.34 -2009-01-06 00:00:00,11.6,93.02,15.23,84.75,54.32,19.5,51.18,934.7,75.09 -2009-01-07 00:00:00,10.42,91.01,14.55,83.39,53.81,18.33,49.51,906.65,73.18 -2009-01-08 00:00:00,10.87,92.7,14.58,82.81,53.71,18.9,48.93,909.73,73.96 -2009-01-09 00:00:00,10.34,90.58,14.45,80.45,53.74,18.34,48.3,890.35,72.54 -2009-01-12 00:00:00,9.63,88.66,14.3,81.41,53.1,18.29,47.22,870.26,71.58 -2009-01-13 00:00:00,9.14,87.71,13.49,81.06,53.55,18.62,47.99,871.79,72.87 -2009-01-14 00:00:00,8.64,85.33,12.74,79.02,52.74,17.93,46.95,842.62,70.23 -2009-01-15 00:00:00,8.97,83.38,12.44,79.9,52.44,18.07,46.43,843.74,71.69 -2009-01-16 00:00:00,9.02,82.33,12.61,80.66,52.28,18.52,47.2,850.12,73.04 -2009-01-20 00:00:00,7.99,78.2,11.68,77.87,51.65,17.36,46.33,805.22,71.34 -2009-01-21 00:00:00,8.19,82.83,11.77,86.83,51.29,18.21,46.34,840.24,74.12 -2009-01-22 00:00:00,7.89,88.36,12.17,85.55,51.76,16.07,46.26,827.5,73.16 -2009-01-23 00:00:00,7.97,88.36,10.86,85.0,50.94,16.16,46.51,831.95,72.98 -2009-01-26 00:00:00,7.99,89.64,11.22,87.0,51.47,16.56,47.24,836.57,73.5 -2009-01-27 00:00:00,8.24,90.73,11.79,87.06,52.37,16.59,47.45,845.71,73.8 -2009-01-28 00:00:00,8.37,94.2,12.19,90.06,53.3,16.95,47.81,874.09,74.11 -2009-01-29 00:00:00,8.08,93.0,11.49,87.87,53.04,16.52,47.48,845.14,72.01 -2009-01-30 00:00:00,7.45,90.13,10.95,87.05,52.5,16.06,46.15,825.88,71.52 -2009-02-02 00:00:00,7.36,91.51,10.49,86.37,52.5,16.75,46.06,825.44,71.72 -2009-02-03 00:00:00,7.69,92.98,10.27,88.79,53.31,17.38,47.34,838.51,73.05 -2009-02-04 00:00:00,7.64,93.55,10.17,88.17,52.75,17.5,47.31,832.23,72.62 -2009-02-05 00:00:00,7.88,96.46,9.8,87.77,52.89,17.89,48.1,845.85,74.61 -2009-02-06 00:00:00,8.21,99.72,10.02,91.81,53.25,18.47,49.18,868.6,75.51 -2009-02-09 00:00:00,8.31,102.51,11.41,92.46,53.24,18.26,47.25,869.89,74.7 -2009-02-10 00:00:00,7.48,97.83,10.49,89.07,51.63,17.66,45.51,827.16,71.56 -2009-02-11 00:00:00,7.53,96.82,10.78,90.88,52.18,18.05,46.5,833.74,70.1 -2009-02-12 00:00:00,7.34,99.27,10.55,90.79,52.59,18.09,47.78,835.19,70.7 -2009-02-13 00:00:00,7.31,99.16,10.33,89.62,51.97,17.93,48.3,826.84,70.1 -2009-02-17 00:00:00,6.6,94.53,9.76,86.59,50.95,17.11,47.61,789.17,66.99 -2009-02-18 00:00:00,6.34,94.37,9.81,87.39,50.81,17.14,47.35,788.42,67.61 -2009-02-19 00:00:00,6.21,90.64,9.35,84.93,50.9,16.94,47.96,778.94,67.82 -2009-02-20 00:00:00,6.15,91.2,8.72,84.79,50.15,17.03,47.27,770.05,66.95 -2009-02-23 00:00:00,5.68,86.95,8.23,80.57,49.23,16.28,46.09,743.33,65.13 -2009-02-24 00:00:00,6.25,90.25,8.44,82.51,50.05,16.24,47.48,773.14,67.76 -2009-02-25 00:00:00,6.32,91.16,8.38,82.03,49.52,16.04,46.6,764.9,67.72 -2009-02-26 00:00:00,6.36,89.19,8.46,84.97,48.12,15.53,45.41,752.83,66.68 -2009-02-27 00:00:00,6.09,89.31,7.91,87.89,45.88,15.28,44.23,735.09,63.82 -2009-03-02 00:00:00,5.37,87.94,7.07,85.04,43.97,14.93,43.05,700.82,61.01 -2009-03-03 00:00:00,5.41,88.37,6.52,83.82,43.72,15.02,44.53,696.33,60.49 -2009-03-04 00:00:00,6.1,91.17,6.22,85.46,45.06,15.25,44.12,712.87,61.73 -2009-03-05 00:00:00,5.14,88.84,6.19,83.54,43.74,14.44,42.61,682.55,58.48 -2009-03-06 00:00:00,5.1,85.3,6.56,81.95,44.02,14.45,43.66,683.38,60.18 -2009-03-09 00:00:00,5.27,83.11,6.89,79.72,42.76,14.33,42.46,676.53,60.69 -2009-03-10 00:00:00,5.98,88.63,8.25,83.32,43.85,15.59,43.19,719.6,63.34 -2009-03-11 00:00:00,5.63,92.68,7.89,84.63,43.96,16.18,43.95,721.36,61.82 -2009-03-12 00:00:00,5.85,96.35,8.9,86.33,44.96,16.09,44.76,750.74,63.11 -2009-03-13 00:00:00,5.6,95.93,8.94,86.29,46.47,15.75,45.07,756.55,63.16 -2009-03-16 00:00:00,5.98,95.42,8.98,87.11,46.55,15.37,45.17,753.89,62.94 -2009-03-17 00:00:00,5.46,99.66,9.3,88.73,46.54,15.98,45.65,778.12,64.94 -2009-03-18 00:00:00,5.36,101.52,9.59,87.81,46.49,16.04,45.85,794.35,65.01 -2009-03-19 00:00:00,6.26,101.62,9.42,88.49,45.94,16.21,45.41,784.04,64.22 -2009-03-20 00:00:00,6.39,101.59,8.87,88.35,47.41,16.14,46.36,768.54,62.12 -2009-03-23 00:00:00,7.23,107.66,9.7,94.27,48.85,17.34,47.86,822.92,66.29 -2009-03-24 00:00:00,7.16,106.5,9.68,93.88,48.36,16.96,47.76,806.12,65.21 -2009-03-25 00:00:00,7.55,106.49,9.75,93.54,48.51,16.91,48.64,813.88,65.94 -2009-03-26 00:00:00,7.94,109.87,10.13,94.33,48.54,17.81,49.28,832.86,66.95 -2009-03-27 00:00:00,7.62,106.85,10.02,89.91,48.48,17.15,48.56,815.94,65.77 -2009-03-30 00:00:00,6.54,104.49,9.23,90.27,48.64,16.53,48.01,787.53,64.5 -2009-03-31 00:00:00,7.17,105.12,9.4,92.53,48.27,17.38,47.72,797.87,64.01 -2009-04-01 00:00:00,7.43,108.69,9.45,93.22,48.67,18.26,48.4,811.08,65.07 -2009-04-02 00:00:00,8.0,112.71,9.98,96.28,48.61,18.25,49.0,834.38,66.03 -2009-04-03 00:00:00,7.99,115.99,10.17,97.62,47.86,17.73,48.84,842.5,66.2 -2009-04-06 00:00:00,7.73,118.45,10.4,96.99,47.9,17.74,48.82,835.48,65.84 -2009-04-07 00:00:00,7.61,115.0,9.9,94.31,47.13,17.74,48.43,815.55,64.58 -2009-04-08 00:00:00,7.88,116.32,9.89,96.64,47.21,18.15,48.46,825.16,64.81 -2009-04-09 00:00:00,8.65,119.57,10.53,97.12,47.18,18.6,48.29,856.56,65.64 -2009-04-13 00:00:00,8.94,120.22,11.28,95.45,46.94,18.53,47.73,858.73,63.93 -2009-04-14 00:00:00,8.63,118.31,10.7,94.8,47.14,18.3,46.87,841.5,63.63 -2009-04-15 00:00:00,8.85,117.64,11.0,94.4,47.51,17.81,48.24,852.06,64.04 -2009-04-16 00:00:00,8.94,121.45,11.41,96.86,47.9,18.69,48.16,865.3,63.36 -2009-04-17 00:00:00,9.05,123.42,11.52,96.71,48.68,18.16,48.32,869.6,62.74 -2009-04-20 00:00:00,8.17,120.5,10.55,95.91,48.15,17.6,46.22,832.39,61.36 -2009-04-21 00:00:00,8.49,121.76,10.88,97.71,48.14,17.94,45.74,850.08,62.25 -2009-04-22 00:00:00,8.45,121.51,10.97,97.93,46.97,17.76,44.47,843.55,60.86 -2009-04-23 00:00:00,8.7,125.4,11.04,96.86,47.17,17.9,44.39,851.92,61.76 -2009-04-24 00:00:00,8.93,123.9,11.26,95.58,46.73,19.78,44.97,866.23,62.57 -2009-04-27 00:00:00,8.59,124.73,11.24,95.45,46.67,19.3,45.52,857.51,62.15 -2009-04-28 00:00:00,8.33,123.9,11.16,97.35,46.48,18.85,46.38,855.16,63.05 -2009-04-29 00:00:00,8.6,125.14,11.36,99.36,46.83,19.15,46.76,873.64,64.32 -2009-04-30 00:00:00,8.87,125.83,11.76,98.56,48.05,19.16,46.12,872.81,62.66 -2009-05-01 00:00:00,9.47,127.24,11.8,99.9,48.26,19.14,46.15,877.52,63.92 -2009-05-04 00:00:00,10.13,132.07,12.18,101.41,49.33,19.1,45.51,907.24,64.1 -2009-05-05 00:00:00,9.9,132.71,12.18,101.09,49.88,18.72,46.1,903.8,63.58 -2009-05-06 00:00:00,10.29,132.5,12.71,100.43,49.75,18.72,46.09,919.53,64.46 -2009-05-07 00:00:00,9.66,129.06,12.98,98.48,50.37,18.27,45.87,907.39,64.79 -2009-05-08 00:00:00,9.81,129.19,13.51,97.43,50.45,18.37,46.11,929.23,66.54 -2009-05-11 00:00:00,9.4,129.57,13.19,98.78,49.65,18.27,45.96,909.24,65.49 -2009-05-12 00:00:00,9.27,124.42,12.72,99.78,50.47,18.81,45.67,908.35,66.96 -2009-05-13 00:00:00,8.46,119.49,12.0,98.17,50.61,18.68,46.03,883.92,65.97 -2009-05-14 00:00:00,8.57,122.95,12.12,97.01,50.49,18.97,47.15,893.07,65.96 -2009-05-15 00:00:00,8.85,122.42,11.95,97.31,50.85,19.12,46.64,882.88,65.34 -2009-05-18 00:00:00,9.3,126.65,12.52,100.39,51.43,19.48,47.43,909.71,66.66 -2009-05-19 00:00:00,9.49,127.45,12.74,101.29,51.29,19.33,47.84,908.13,66.68 -2009-05-20 00:00:00,9.3,125.87,12.8,99.89,51.27,19.4,48.26,903.47,65.81 -2009-05-21 00:00:00,8.92,124.18,12.31,98.71,50.91,18.87,47.73,888.33,64.66 -2009-05-22 00:00:00,8.69,122.5,12.18,97.81,50.7,18.8,47.8,887.0,65.08 -2009-05-26 00:00:00,9.09,130.78,12.45,100.82,51.16,19.36,47.53,910.33,66.0 -2009-05-27 00:00:00,8.87,133.05,12.08,98.81,50.2,19.16,46.36,893.06,64.58 -2009-05-28 00:00:00,8.91,135.07,12.26,100.5,50.48,19.47,47.29,906.83,65.46 -2009-05-29 00:00:00,9.04,135.81,12.53,102.03,51.07,19.88,48.25,919.14,65.57 -2009-06-01 00:00:00,9.64,139.35,12.88,104.03,51.64,20.37,49.25,942.87,67.85 -2009-06-02 00:00:00,10.31,139.49,12.83,102.55,52.04,20.37,51.32,944.74,68.94 -2009-06-03 00:00:00,9.87,140.95,12.55,102.23,51.99,20.68,50.72,931.76,68.15 -2009-06-04 00:00:00,10.48,143.74,12.78,102.07,51.69,20.78,51.23,942.46,69.0 -2009-06-05 00:00:00,10.73,144.67,12.59,102.95,51.78,21.07,51.29,940.09,68.99 -2009-06-08 00:00:00,10.56,143.85,12.61,103.19,51.5,20.99,50.6,939.14,69.18 -2009-06-09 00:00:00,10.93,142.72,12.61,103.81,51.57,21.02,49.98,942.43,69.13 -2009-06-10 00:00:00,11.26,140.25,12.46,104.01,51.53,21.46,49.87,939.15,69.81 -2009-06-11 00:00:00,11.98,139.95,12.51,105.02,51.89,21.73,49.5,944.89,70.01 -2009-06-12 00:00:00,11.76,136.97,12.56,103.88,51.9,22.21,50.14,946.21,69.76 -2009-06-15 00:00:00,10.99,136.09,12.22,103.31,50.69,22.29,49.42,923.72,68.84 -2009-06-16 00:00:00,10.69,136.35,11.88,103.03,50.57,22.32,48.91,911.97,67.72 -2009-06-17 00:00:00,10.28,135.58,11.39,102.72,51.1,22.54,49.5,910.71,67.53 -2009-06-18 00:00:00,10.57,135.88,11.22,102.07,51.65,22.37,50.92,918.37,67.54 -2009-06-19 00:00:00,10.78,139.48,11.34,101.65,51.93,22.91,50.38,921.23,67.18 -2009-06-22 00:00:00,9.82,137.37,10.8,100.34,51.37,22.16,49.99,893.04,65.09 -2009-06-23 00:00:00,9.8,134.01,10.87,100.26,50.93,22.22,49.54,895.1,65.19 -2009-06-24 00:00:00,10.01,136.22,10.97,99.98,51.34,22.34,49.58,900.94,64.72 -2009-06-25 00:00:00,10.51,139.86,11.12,101.82,52.09,22.64,50.45,920.26,66.07 -2009-06-26 00:00:00,10.55,142.44,11.01,101.45,52.4,22.23,51.12,918.9,65.29 -2009-06-29 00:00:00,10.24,141.97,11.02,101.59,52.73,22.71,51.25,927.23,66.73 -2009-06-30 00:00:00,10.13,142.43,10.98,100.24,52.58,22.63,51.36,919.32,66.1 -2009-07-01 00:00:00,10.15,142.83,11.04,100.64,52.83,22.88,52.82,923.33,66.71 -2009-07-02 00:00:00,9.67,140.02,10.74,97.66,51.82,22.24,52.66,896.42,64.76 -2009-07-06 00:00:00,9.08,138.61,10.76,97.58,52.42,22.08,53.39,898.72,64.39 -2009-07-07 00:00:00,9.23,135.4,10.32,96.18,52.06,21.45,52.33,881.03,62.93 -2009-07-08 00:00:00,9.27,137.22,10.04,96.65,52.84,21.47,51.26,879.56,62.65 -2009-07-09 00:00:00,9.05,136.36,10.18,97.99,52.48,21.36,51.1,882.68,62.37 -2009-07-10 00:00:00,9.16,138.52,10.1,96.79,52.7,21.31,51.13,879.13,61.57 -2009-07-13 00:00:00,9.47,142.34,10.74,99.47,53.44,22.11,52.02,901.05,62.12 -2009-07-14 00:00:00,9.4,142.27,10.91,99.12,53.91,22.0,52.42,905.84,62.61 -2009-07-15 00:00:00,9.94,146.88,11.47,102.93,54.58,22.96,53.53,932.68,64.71 -2009-07-16 00:00:00,10.24,147.52,11.62,106.21,54.85,23.26,53.51,940.74,64.73 -2009-07-17 00:00:00,10.02,151.75,10.92,110.8,54.83,23.12,52.95,940.38,64.78 -2009-07-20 00:00:00,10.39,152.91,10.94,111.78,54.68,23.35,52.41,951.13,65.18 -2009-07-21 00:00:00,9.94,151.51,10.75,112.36,55.07,23.63,52.71,954.58,66.63 -2009-07-22 00:00:00,10.0,156.74,10.9,110.94,54.8,23.61,52.23,954.07,66.17 -2009-07-23 00:00:00,10.59,157.82,11.2,112.38,55.75,24.33,52.8,976.29,67.71 -2009-07-24 00:00:00,10.8,159.99,11.28,112.93,56.94,22.32,52.72,979.26,68.35 -2009-07-27 00:00:00,11.08,160.1,11.55,112.92,56.72,22.0,52.65,982.18,68.78 -2009-07-28 00:00:00,11.04,160.0,11.73,112.59,56.4,22.34,52.3,979.62,67.97 -2009-07-29 00:00:00,10.79,160.03,11.49,112.57,56.62,22.65,52.64,975.15,67.54 -2009-07-30 00:00:00,11.24,162.79,12.29,113.14,57.2,22.66,52.89,986.75,66.86 -2009-07-31 00:00:00,11.53,163.39,12.56,113.21,56.37,22.39,53.03,987.48,66.55 -2009-08-03 00:00:00,12.35,166.43,12.86,115.12,56.56,22.68,52.52,1002.63,66.8 -2009-08-04 00:00:00,12.59,165.55,12.95,114.81,56.53,22.63,55.19,1005.65,66.75 -2009-08-05 00:00:00,13.05,165.11,13.11,113.73,55.96,22.66,54.57,1002.72,66.21 -2009-08-06 00:00:00,12.58,163.91,13.41,113.21,55.48,22.33,54.04,997.08,65.93 -2009-08-07 00:00:00,12.78,165.51,13.78,115.09,55.45,22.43,53.96,1010.48,65.68 -2009-08-10 00:00:00,12.47,164.72,13.66,114.48,56.21,22.29,53.65,1007.1,65.41 -2009-08-11 00:00:00,12.49,162.83,13.11,113.6,55.75,22.02,53.18,994.35,64.81 -2009-08-12 00:00:00,12.74,165.31,13.24,115.05,56.09,22.4,52.97,1005.81,65.74 -2009-08-13 00:00:00,13.47,168.42,13.22,115.33,55.84,22.48,52.79,1012.73,65.4 -2009-08-14 00:00:00,13.04,166.78,13.05,114.36,55.62,22.55,52.86,1004.09,64.88 -2009-08-17 00:00:00,12.2,159.59,12.52,112.71,55.38,22.13,52.5,979.73,63.31 -2009-08-18 00:00:00,12.7,164.0,12.74,113.45,55.36,22.57,52.56,989.67,63.25 -2009-08-19 00:00:00,12.26,164.6,12.68,114.36,55.89,22.64,52.75,996.46,64.69 -2009-08-20 00:00:00,12.22,166.33,12.94,114.72,56.43,22.66,53.12,1007.37,65.25 -2009-08-21 00:00:00,12.34,169.22,13.32,115.64,56.96,23.37,53.73,1026.13,66.51 -2009-08-24 00:00:00,12.21,169.06,13.31,115.08,57.19,23.59,53.69,1025.57,67.82 -2009-08-25 00:00:00,12.14,169.4,13.4,114.61,57.06,23.59,53.54,1028.0,67.23 -2009-08-26 00:00:00,12.05,167.41,13.22,115.22,56.58,23.5,54.09,1028.12,67.89 -2009-08-27 00:00:00,12.19,169.45,13.3,115.19,56.45,23.63,53.98,1030.98,67.41 -2009-08-28 00:00:00,12.28,170.05,13.2,114.02,56.27,23.62,53.04,1028.93,66.7 -2009-08-31 00:00:00,11.84,168.21,13.03,113.85,56.41,23.59,52.96,1020.62,65.78 -2009-09-01 00:00:00,11.39,165.3,12.5,112.54,55.94,22.97,52.57,998.04,65.08 -2009-09-02 00:00:00,11.35,165.18,12.37,111.96,55.77,22.84,53.08,994.75,64.86 -2009-09-03 00:00:00,11.8,166.55,12.61,112.2,55.71,23.08,53.36,1003.24,64.93 -2009-09-04 00:00:00,11.97,170.31,13.0,113.29,56.29,23.57,54.21,1016.4,65.81 -2009-09-08 00:00:00,12.38,172.93,13.59,113.0,56.53,23.76,54.9,1025.39,67.21 -2009-09-09 00:00:00,12.59,171.14,13.94,112.61,56.85,23.72,54.68,1033.37,67.06 -2009-09-10 00:00:00,12.62,172.56,13.87,113.49,56.61,23.93,54.51,1044.14,67.21 -2009-09-11 00:00:00,12.77,172.16,13.75,113.85,56.39,23.8,55.4,1042.73,66.57 -2009-09-14 00:00:00,12.72,173.72,14.39,114.65,56.31,23.93,55.3,1049.34,66.59 -2009-09-15 00:00:00,13.75,175.16,15.0,115.11,56.14,24.12,54.91,1052.63,66.1 -2009-09-16 00:00:00,14.22,181.87,15.93,117.49,56.17,24.12,54.96,1068.76,66.91 -2009-09-17 00:00:00,13.81,184.55,15.71,117.55,56.71,24.22,55.39,1065.49,66.44 -2009-09-18 00:00:00,13.82,185.02,15.56,117.77,56.72,24.18,56.39,1068.3,66.58 -2009-09-21 00:00:00,13.7,184.02,15.8,117.25,56.62,24.22,55.6,1064.66,66.18 -2009-09-22 00:00:00,14.01,184.48,16.04,117.29,57.0,24.67,55.19,1071.66,66.43 -2009-09-23 00:00:00,13.9,185.5,16.03,116.53,56.71,24.61,55.08,1060.87,65.64 -2009-09-24 00:00:00,13.28,183.82,15.63,116.64,56.67,24.83,55.15,1050.78,65.57 -2009-09-25 00:00:00,12.85,182.37,15.43,116.78,56.57,24.46,55.28,1044.38,65.35 -2009-09-28 00:00:00,13.2,186.15,15.8,115.09,57.18,24.72,55.61,1062.98,66.2 -2009-09-29 00:00:00,13.08,185.38,15.75,114.59,56.86,24.65,55.12,1060.61,65.7 -2009-09-30 00:00:00,12.89,185.35,15.48,115.36,56.83,24.62,55.26,1057.08,65.27 -2009-10-01 00:00:00,12.7,180.86,15.06,113.71,55.82,23.82,55.07,1029.85,63.99 -2009-10-02 00:00:00,12.6,184.9,14.48,114.79,55.74,23.89,57.37,1025.21,63.33 -2009-10-05 00:00:00,13.19,186.02,14.92,115.49,55.83,23.59,57.32,1040.46,64.29 -2009-10-06 00:00:00,13.65,190.01,15.16,117.04,56.27,24.04,57.34,1054.72,65.31 -2009-10-07 00:00:00,13.95,190.25,15.24,118.42,56.66,24.03,57.63,1057.58,65.32 -2009-10-08 00:00:00,14.1,189.27,15.29,117.94,56.87,24.57,56.89,1065.48,65.68 -2009-10-09 00:00:00,13.99,190.47,15.25,121.45,57.62,24.46,57.08,1071.49,65.89 -2009-10-12 00:00:00,14.0,190.81,15.4,122.52,58.36,24.62,57.39,1076.19,66.71 -2009-10-13 00:00:00,13.87,190.02,15.45,122.51,56.94,24.71,57.09,1073.19,66.84 -2009-10-14 00:00:00,14.07,191.29,15.88,123.79,56.51,24.85,58.05,1092.02,68.34 -2009-10-15 00:00:00,14.11,190.56,15.83,123.43,56.87,25.57,59.05,1096.56,69.38 -2009-10-16 00:00:00,13.8,188.05,15.16,117.32,56.43,25.37,58.68,1087.68,69.56 -2009-10-19 00:00:00,13.83,189.86,14.93,118.69,57.08,25.23,58.45,1097.91,70.03 -2009-10-20 00:00:00,13.55,198.76,14.69,118.45,56.55,25.24,58.01,1091.06,69.46 -2009-10-21 00:00:00,13.58,204.92,14.64,116.57,56.29,25.44,58.26,1081.4,69.74 -2009-10-22 00:00:00,13.8,205.2,14.46,118.33,56.87,25.45,57.94,1092.91,70.81 -2009-10-23 00:00:00,13.49,203.94,14.33,116.08,56.5,26.82,57.49,1079.6,69.98 -2009-10-26 00:00:00,13.05,202.48,14.15,115.84,56.08,27.45,56.97,1066.95,69.66 -2009-10-27 00:00:00,12.59,197.37,14.08,116.36,56.02,27.37,57.47,1063.41,71.26 -2009-10-28 00:00:00,11.72,192.4,13.6,117.18,55.6,26.82,57.46,1042.63,70.24 -2009-10-29 00:00:00,12.78,196.35,14.02,118.5,55.87,27.01,57.83,1066.11,70.35 -2009-10-30 00:00:00,12.21,188.5,13.44,116.32,55.11,26.54,57.04,1036.19,68.18 -2009-11-02 00:00:00,12.26,189.31,13.64,116.28,55.52,26.69,57.09,1042.88,68.63 -2009-11-03 00:00:00,12.44,188.75,13.5,116.85,55.0,26.35,56.58,1045.41,68.24 -2009-11-04 00:00:00,12.32,190.81,13.38,116.98,55.55,26.86,56.88,1046.5,67.82 -2009-11-05 00:00:00,12.7,194.03,13.6,118.72,55.98,27.25,57.68,1066.63,68.97 -2009-11-06 00:00:00,12.7,194.34,14.45,119.64,56.28,27.3,58.18,1069.3,69.04 -2009-11-09 00:00:00,13.14,201.46,14.94,122.07,56.7,27.75,58.67,1093.08,69.7 -2009-11-10 00:00:00,13.27,202.98,14.88,122.95,57.14,27.77,58.48,1093.01,69.47 -2009-11-11 00:00:00,13.23,203.25,14.92,123.22,56.81,27.87,58.97,1098.51,69.76 -2009-11-12 00:00:00,13.0,201.99,14.85,122.32,57.07,28.1,57.72,1087.24,68.79 -2009-11-13 00:00:00,12.98,204.45,14.76,123.06,57.33,28.36,58.35,1093.48,69.34 -2009-11-16 00:00:00,13.41,206.63,15.09,124.21,58.04,28.28,58.81,1109.3,71.21 -2009-11-17 00:00:00,13.55,207.0,15.1,124.62,58.02,28.84,58.97,1110.32,71.79 -2009-11-18 00:00:00,13.55,205.96,15.17,124.15,58.16,28.95,58.69,1109.8,72.02 -2009-11-19 00:00:00,13.02,200.51,14.86,123.56,58.26,28.63,58.29,1094.9,71.42 -2009-11-20 00:00:00,12.93,199.92,14.7,123.0,58.61,28.48,58.48,1091.38,71.17 -2009-11-23 00:00:00,12.86,205.88,15.1,124.2,58.97,28.79,58.87,1106.24,72.43 -2009-11-24 00:00:00,12.73,204.44,15.2,123.94,59.43,28.76,58.88,1105.65,72.69 -2009-11-25 00:00:00,12.81,204.19,15.25,123.31,59.54,28.64,59.53,1110.63,73.17 -2009-11-27 00:00:00,12.47,200.59,15.03,121.78,59.16,28.09,58.69,1091.49,71.63 -2009-11-30 00:00:00,12.33,199.91,15.1,122.41,59.11,28.28,58.61,1095.63,71.83 -2009-12-01 00:00:00,12.61,196.97,15.25,123.95,59.74,28.85,60.17,1108.86,72.75 -2009-12-02 00:00:00,13.44,196.23,15.15,123.24,60.09,28.63,60.39,1109.24,72.52 -2009-12-03 00:00:00,13.07,196.48,15.09,123.57,60.35,28.68,59.54,1099.92,71.75 -2009-12-04 00:00:00,12.8,193.32,15.27,123.28,60.54,28.82,60.58,1105.98,71.04 -2009-12-07 00:00:00,12.85,188.95,15.16,123.07,60.55,28.64,60.94,1103.25,70.58 -2009-12-08 00:00:00,12.68,189.87,14.82,122.84,60.44,28.43,60.23,1091.94,69.8 -2009-12-09 00:00:00,12.88,197.8,14.76,124.38,60.56,28.56,58.63,1095.95,69.64 -2009-12-10 00:00:00,13.3,196.43,14.72,125.3,60.93,28.72,58.67,1102.35,69.27 -2009-12-11 00:00:00,14.39,194.67,15.01,125.63,61.0,28.7,58.13,1106.41,69.68 -2009-12-14 00:00:00,14.6,196.98,15.04,125.87,61.1,28.95,57.85,1114.11,66.68 -2009-12-15 00:00:00,14.46,194.17,14.85,124.48,60.9,28.86,57.86,1107.93,66.18 -2009-12-16 00:00:00,14.68,195.03,14.79,124.69,60.95,28.94,57.57,1109.18,65.47 -2009-12-17 00:00:00,14.28,191.86,14.89,123.42,60.64,28.46,56.96,1096.08,65.27 -2009-12-18 00:00:00,14.36,195.43,14.7,123.92,60.55,29.19,56.43,1102.47,65.26 -2009-12-21 00:00:00,15.49,198.23,14.68,124.63,60.51,29.34,57.38,1114.05,65.55 -2009-12-22 00:00:00,15.55,200.36,14.59,125.87,60.7,29.63,57.52,1118.02,65.61 -2009-12-23 00:00:00,15.76,202.1,14.62,125.94,60.74,29.73,57.57,1120.59,65.31 -2009-12-24 00:00:00,16.1,209.04,14.65,126.49,60.86,29.8,57.84,1126.48,65.69 -2009-12-28 00:00:00,15.86,211.61,14.56,128.18,61.09,29.97,58.02,1127.78,66.1 -2009-12-29 00:00:00,15.79,209.1,14.65,127.73,61.09,30.18,57.97,1126.2,65.87 -2009-12-30 00:00:00,16.06,211.64,14.57,128.43,61.06,29.77,58.17,1126.42,65.8 -2009-12-31 00:00:00,15.88,210.73,14.36,126.81,60.59,29.3,57.68,1115.1,65.24 -2010-01-04 00:00:00,16.4,214.01,14.66,128.32,60.84,29.76,58.1,1132.99,66.16 -2010-01-05 00:00:00,15.89,214.38,14.74,126.77,60.14,29.77,58.8,1136.52,66.42 -2010-01-06 00:00:00,16.72,210.97,14.66,125.94,60.63,29.58,58.21,1137.14,66.99 -2010-01-07 00:00:00,16.36,210.58,15.42,125.51,60.19,29.28,57.84,1141.69,66.78 -2010-01-08 00:00:00,16.77,211.98,15.75,126.77,60.4,29.48,57.65,1144.98,66.52 -2010-01-11 00:00:00,17.19,210.11,15.9,125.44,60.41,29.1,57.59,1146.98,67.26 -2010-01-12 00:00:00,15.29,207.72,15.91,126.44,60.73,28.91,58.39,1136.22,66.93 -2010-01-13 00:00:00,15.74,210.65,15.97,126.17,61.11,29.18,58.87,1145.68,66.66 -2010-01-14 00:00:00,15.57,209.43,15.85,128.18,61.24,29.77,59.58,1148.46,66.67 -2010-01-15 00:00:00,15.4,205.93,15.6,127.67,60.73,29.67,59.1,1136.03,66.12 -2010-01-19 00:00:00,15.39,215.04,15.7,129.95,61.47,29.9,59.13,1150.23,66.28 -2010-01-20 00:00:00,15.0,211.73,15.66,126.18,61.28,29.41,58.77,1138.04,65.09 -2010-01-21 00:00:00,14.04,208.07,15.2,124.97,60.17,28.85,57.82,1116.48,63.82 -2010-01-22 00:00:00,13.2,197.75,15.29,121.58,59.45,27.84,57.29,1091.76,63.24 -2010-01-25 00:00:00,13.19,203.07,15.53,122.18,59.47,28.19,57.14,1096.78,63.0 -2010-01-26 00:00:00,13.34,205.94,15.52,121.82,59.06,28.36,57.16,1092.17,63.07 -2010-01-27 00:00:00,13.1,207.88,15.47,122.39,59.68,28.53,57.2,1097.5,62.71 -2010-01-28 00:00:00,12.73,199.29,15.33,119.89,60.01,28.04,56.68,1084.53,62.15 -2010-01-29 00:00:00,12.54,192.06,15.26,118.57,59.13,27.09,56.56,1073.87,61.65 -2010-02-01 00:00:00,13.16,194.73,15.42,120.78,59.35,27.31,57.59,1089.19,63.32 -2010-02-02 00:00:00,13.47,195.86,15.99,121.61,60.19,27.36,58.02,1103.32,64.07 -2010-02-03 00:00:00,13.32,199.23,15.83,121.74,59.85,27.53,58.15,1097.28,63.72 -2010-02-04 00:00:00,12.74,192.05,15.22,119.16,58.92,26.77,56.58,1063.11,61.92 -2010-02-05 00:00:00,13.01,195.46,14.98,119.66,58.92,26.94,56.46,1066.19,62.0 -2010-02-08 00:00:00,12.89,194.12,14.8,118.6,58.67,26.65,55.94,1056.74,61.97 -2010-02-09 00:00:00,13.11,196.19,14.8,119.9,59.04,26.93,56.97,1070.52,62.79 -2010-02-10 00:00:00,12.99,195.12,14.89,119.51,59.01,26.91,57.28,1068.13,62.45 -2010-02-11 00:00:00,13.41,198.67,14.96,120.4,59.18,27.04,58.05,1078.47,62.83 -2010-02-12 00:00:00,13.11,200.38,14.76,120.67,59.0,26.85,57.8,1075.51,62.4 -2010-02-16 00:00:00,13.56,203.4,15.22,121.86,59.84,27.38,58.17,1094.87,63.83 -2010-02-17 00:00:00,13.43,202.55,15.33,122.93,60.18,27.62,58.93,1099.51,63.33 -2010-02-18 00:00:00,13.44,202.93,15.41,124.37,60.7,27.98,59.32,1106.75,63.52 -2010-02-19 00:00:00,13.36,201.67,15.34,123.77,60.48,27.79,59.45,1109.17,63.43 -2010-02-22 00:00:00,13.37,200.42,15.42,123.44,60.18,27.75,59.21,1108.01,62.98 -2010-02-23 00:00:00,13.01,197.06,15.14,123.06,60.01,27.36,58.61,1094.6,62.54 -2010-02-24 00:00:00,12.89,200.66,15.3,124.16,60.14,27.65,58.9,1105.24,63.13 -2010-02-25 00:00:00,13.14,202.0,15.2,123.65,59.98,27.63,59.11,1102.94,62.73 -2010-02-26 00:00:00,13.13,204.62,15.34,123.74,59.71,27.69,59.27,1104.49,62.6 -2010-03-01 00:00:00,13.14,208.99,15.18,125.11,60.08,28.03,60.18,1115.71,62.98 -2010-03-02 00:00:00,13.07,208.85,15.18,123.99,60.13,27.49,60.53,1118.31,63.07 -2010-03-03 00:00:00,13.17,209.33,15.31,123.47,60.09,27.49,61.13,1118.79,63.01 -2010-03-04 00:00:00,13.26,210.71,15.38,123.31,60.25,27.65,61.26,1122.97,62.98 -2010-03-05 00:00:00,13.66,218.95,15.61,123.83,60.7,27.62,61.5,1138.7,64.01 -2010-03-08 00:00:00,13.6,219.08,15.54,123.01,60.85,27.65,61.29,1138.5,64.02 -2010-03-09 00:00:00,13.5,223.02,15.75,122.18,60.92,27.82,61.49,1140.45,64.31 -2010-03-10 00:00:00,13.4,224.84,15.76,122.24,60.94,27.98,61.56,1145.61,64.73 -2010-03-11 00:00:00,13.47,225.5,15.74,124.17,60.87,28.19,62.08,1150.24,64.73 -2010-03-12 00:00:00,13.43,226.6,16.27,124.5,60.83,28.27,62.2,1149.99,64.33 -2010-03-15 00:00:00,13.34,223.84,16.51,124.39,61.2,28.29,63.2,1150.51,63.85 -2010-03-16 00:00:00,13.62,224.45,17.25,125.21,61.16,28.37,63.13,1159.46,64.11 -2010-03-17 00:00:00,14.28,224.12,17.23,124.33,61.28,28.62,63.61,1166.21,64.87 -2010-03-18 00:00:00,14.12,224.65,17.37,124.93,61.67,28.6,63.56,1165.83,64.9 -2010-03-19 00:00:00,14.08,222.25,17.25,124.28,61.71,28.58,63.6,1159.9,64.56 -2010-03-22 00:00:00,14.16,224.75,17.25,124.54,61.71,28.59,63.36,1165.81,64.49 -2010-03-23 00:00:00,14.31,228.36,17.5,125.89,61.95,28.86,63.88,1174.17,64.47 -2010-03-24 00:00:00,14.14,229.37,17.62,125.08,61.37,28.64,63.31,1167.72,64.04 -2010-03-25 00:00:00,13.93,226.65,17.47,125.77,61.2,28.99,63.59,1165.73,63.85 -2010-03-26 00:00:00,14.09,230.9,17.51,125.79,61.02,28.65,63.63,1166.59,64.08 -2010-03-29 00:00:00,14.26,232.39,17.57,125.13,61.44,28.58,63.59,1173.22,64.81 -2010-03-30 00:00:00,14.22,235.85,17.47,125.31,61.52,28.76,63.8,1173.27,64.57 -2010-03-31 00:00:00,14.06,235.0,17.38,124.8,61.8,28.29,63.21,1169.43,64.5 -2010-04-01 00:00:00,14.51,235.97,17.5,124.8,62.34,28.17,63.71,1178.1,65.11 -2010-04-05 00:00:00,14.54,238.49,17.69,125.87,61.99,28.27,63.04,1187.44,65.67 -2010-04-06 00:00:00,14.84,239.54,17.76,125.46,61.9,28.32,63.43,1189.44,65.39 -2010-04-07 00:00:00,14.55,240.6,17.67,125.03,61.82,28.35,63.05,1182.45,64.85 -2010-04-08 00:00:00,14.68,239.95,17.72,124.18,61.54,28.9,63.03,1186.44,65.35 -2010-04-09 00:00:00,14.21,241.79,17.68,125.3,61.74,29.31,63.41,1194.37,66.22 -2010-04-12 00:00:00,14.38,242.29,17.87,124.91,61.71,29.29,63.37,1196.48,66.17 -2010-04-13 00:00:00,14.16,242.43,18.09,125.56,62.25,29.41,63.43,1197.3,66.12 -2010-04-14 00:00:00,14.25,245.69,18.48,127.72,62.07,29.77,63.34,1210.65,66.07 -2010-04-15 00:00:00,14.13,248.92,18.62,127.37,62.09,29.82,63.32,1211.67,65.74 -2010-04-16 00:00:00,13.73,247.4,18.11,127.12,61.63,29.63,63.2,1192.13,65.42 -2010-04-19 00:00:00,13.54,247.07,18.09,128.68,62.59,29.98,63.18,1197.52,65.71 -2010-04-20 00:00:00,13.57,244.59,18.14,126.2,62.55,30.29,62.97,1207.17,66.42 -2010-04-21 00:00:00,13.53,259.22,18.17,125.52,61.98,30.26,63.04,1205.94,66.37 -2010-04-22 00:00:00,13.67,266.47,18.09,125.66,61.4,30.32,61.88,1208.67,66.03 -2010-04-23 00:00:00,13.93,270.83,18.21,126.5,61.65,29.91,61.83,1217.28,66.68 -2010-04-26 00:00:00,13.87,269.5,18.43,127.22,61.38,30.05,62.13,1212.05,66.73 -2010-04-27 00:00:00,13.27,262.04,17.86,125.36,60.93,29.8,61.37,1183.71,65.75 -2010-04-28 00:00:00,13.4,261.6,18.09,126.6,61.25,29.86,61.87,1191.36,66.63 -2010-04-29 00:00:00,13.54,268.64,18.61,126.95,61.62,29.94,62.3,1206.78,66.12 -2010-04-30 00:00:00,13.26,261.09,18.01,125.53,60.95,29.5,62.32,1186.69,65.26 -2010-05-03 00:00:00,12.98,266.35,18.39,126.12,61.92,29.81,62.77,1202.26,65.33 -2010-05-04 00:00:00,12.42,258.68,17.74,124.68,61.33,29.1,62.52,1173.6,64.01 -2010-05-05 00:00:00,12.33,255.99,17.28,124.03,61.74,28.83,62.3,1165.87,63.72 -2010-05-06 00:00:00,11.82,246.25,16.53,121.21,60.09,27.99,61.82,1128.15,61.53 -2010-05-07 00:00:00,11.87,235.86,16.12,119.43,60.01,27.25,61.7,1110.88,61.35 -2010-05-10 00:00:00,12.46,253.99,17.23,123.51,61.37,27.95,63.45,1159.73,62.82 -2010-05-11 00:00:00,12.0,256.52,17.19,124.11,61.3,27.9,63.59,1155.79,62.5 -2010-05-12 00:00:00,12.33,262.09,17.61,129.78,61.52,28.44,63.96,1171.67,62.93 -2010-05-13 00:00:00,12.67,258.36,17.24,128.6,61.3,28.24,63.52,1157.44,62.77 -2010-05-14 00:00:00,12.23,253.82,16.84,128.32,60.63,27.94,63.13,1135.68,61.66 -2010-05-17 00:00:00,11.97,254.22,16.77,127.58,60.55,27.95,63.78,1136.94,61.34 -2010-05-18 00:00:00,11.7,252.36,16.45,127.11,59.69,27.75,63.57,1120.8,60.88 -2010-05-19 00:00:00,11.66,248.34,16.48,126.04,58.98,27.4,63.1,1115.05,60.55 -2010-05-20 00:00:00,10.95,237.76,15.53,121.09,57.39,26.3,61.02,1071.59,58.49 -2010-05-21 00:00:00,11.23,242.32,15.68,122.67,57.71,26.04,60.75,1087.69,59.03 -2010-05-24 00:00:00,10.97,246.76,15.29,121.73,57.41,25.49,60.5,1073.65,58.36 -2010-05-25 00:00:00,11.18,245.22,15.23,121.79,57.2,25.3,60.09,1074.03,57.89 -2010-05-26 00:00:00,11.13,244.11,15.29,120.53,56.55,24.27,58.5,1067.95,57.51 -2010-05-27 00:00:00,11.7,253.35,15.91,123.62,56.46,25.23,60.1,1103.06,59.59 -2010-05-28 00:00:00,11.52,256.88,15.61,122.52,55.76,25.03,60.09,1089.41,58.62 -2010-06-01 00:00:00,11.07,260.83,15.26,121.62,56.2,25.12,59.97,1070.71,57.45 -2010-06-02 00:00:00,11.36,263.95,15.61,124.62,57.13,25.67,61.1,1098.38,58.92 -2010-06-03 00:00:00,11.25,263.12,15.71,125.16,57.17,26.06,61.02,1102.83,59.69 -2010-06-04 00:00:00,10.73,255.96,15.0,122.54,55.49,25.02,59.16,1064.88,57.72 -2010-06-07 00:00:00,10.4,250.94,14.71,121.41,55.48,24.54,59.44,1050.47,57.5 -2010-06-08 00:00:00,10.65,249.33,14.78,121.01,56.09,24.36,60.32,1062.0,59.38 -2010-06-09 00:00:00,10.69,243.2,14.63,121.19,55.64,24.05,60.17,1055.69,58.2 -2010-06-10 00:00:00,11.13,250.51,14.97,124.88,55.96,24.26,61.47,1086.84,60.01 -2010-06-11 00:00:00,11.24,253.51,14.86,125.64,55.92,24.9,61.2,1091.6,59.98 -2010-06-14 00:00:00,11.22,254.28,14.7,125.69,55.88,24.74,61.48,1089.63,59.5 -2010-06-15 00:00:00,11.47,259.69,15.08,126.95,56.57,25.79,61.85,1115.23,60.61 -2010-06-16 00:00:00,11.29,267.25,15.13,127.5,56.66,25.54,61.54,1114.61,60.61 -2010-06-17 00:00:00,11.06,271.87,15.29,128.11,56.61,25.59,62.09,1116.04,60.7 -2010-06-18 00:00:00,10.99,274.07,15.33,127.3,56.61,25.65,61.7,1117.51,61.18 -2010-06-21 00:00:00,11.6,270.17,15.47,127.79,56.56,25.18,61.64,1113.2,61.21 -2010-06-22 00:00:00,11.17,273.85,15.17,126.47,56.59,25.0,60.95,1095.31,60.06 -2010-06-23 00:00:00,11.31,270.97,14.79,127.26,56.66,24.56,60.4,1092.04,59.24 -2010-06-24 00:00:00,10.99,269.0,14.49,125.38,57.01,24.26,60.08,1073.69,58.24 -2010-06-25 00:00:00,11.11,266.7,14.33,124.34,56.15,23.8,58.51,1076.76,57.3 -2010-06-28 00:00:00,10.91,268.3,14.41,126.16,56.86,23.59,59.66,1074.57,56.69 -2010-06-29 00:00:00,10.23,256.17,13.91,122.35,56.66,22.62,58.95,1041.24,55.55 -2010-06-30 00:00:00,9.96,251.53,13.86,120.78,56.49,22.33,58.69,1030.71,55.33 -2010-07-01 00:00:00,9.95,248.48,13.57,119.89,56.5,22.47,59.23,1027.37,54.89 -2010-07-02 00:00:00,9.9,246.94,13.34,119.19,56.51,22.58,59.24,1022.58,54.85 -2010-07-06 00:00:00,10.1,248.63,13.42,120.76,56.51,23.11,59.35,1028.06,55.71 -2010-07-07 00:00:00,10.44,258.67,14.05,124.22,57.97,23.58,60.59,1060.27,56.65 -2010-07-08 00:00:00,10.61,258.09,14.25,125.17,58.71,23.68,61.62,1070.25,57.02 -2010-07-09 00:00:00,10.83,259.62,14.37,125.16,57.91,23.55,61.14,1077.96,56.99 -2010-07-12 00:00:00,10.76,257.29,14.35,125.85,57.59,24.09,61.37,1078.75,57.15 -2010-07-13 00:00:00,10.89,251.8,14.62,127.62,57.87,24.38,61.07,1095.34,57.61 -2010-07-14 00:00:00,10.8,252.73,14.61,127.86,57.98,24.68,61.2,1095.17,57.46 -2010-07-15 00:00:00,10.73,251.45,14.65,127.86,57.64,24.75,60.81,1096.48,57.47 -2010-07-16 00:00:00,10.3,249.9,13.98,125.23,56.85,24.15,60.13,1064.88,56.2 -2010-07-19 00:00:00,10.47,245.58,14.05,126.95,56.98,24.48,59.74,1071.25,56.65 -2010-07-20 00:00:00,10.74,251.89,14.36,123.78,56.03,24.72,62.32,1083.48,57.16 -2010-07-21 00:00:00,10.48,254.24,14.26,122.53,54.64,24.37,61.57,1069.59,56.4 -2010-07-22 00:00:00,10.71,259.02,14.62,124.68,54.54,25.07,61.82,1093.67,57.57 -2010-07-23 00:00:00,10.93,259.94,15.1,125.57,55.12,25.04,62.06,1102.66,57.9 -2010-07-26 00:00:00,11.11,259.28,15.51,125.6,55.23,25.32,62.57,1115.01,58.55 -2010-07-27 00:00:00,11.09,264.08,15.55,125.81,55.57,25.38,63.25,1113.84,58.96 -2010-07-28 00:00:00,10.92,260.96,15.42,125.62,55.31,25.18,62.78,1106.13,59.06 -2010-07-29 00:00:00,10.91,258.11,15.52,125.22,55.31,25.26,62.48,1101.53,58.5 -2010-07-30 00:00:00,11.05,257.25,15.49,125.59,55.56,25.04,62.5,1101.6,57.86 -2010-08-02 00:00:00,11.59,261.85,15.77,127.9,56.17,25.55,62.84,1125.86,60.06 -2010-08-03 00:00:00,11.44,261.93,15.76,127.52,56.77,25.38,63.33,1120.46,60.81 -2010-08-04 00:00:00,11.43,262.98,15.84,128.4,57.14,24.97,63.71,1127.24,60.81 -2010-08-05 00:00:00,11.49,261.7,15.87,128.94,57.16,24.62,63.14,1125.81,60.8 -2010-08-06 00:00:00,11.5,260.09,15.81,127.92,57.35,24.79,63.45,1121.64,60.08 -2010-08-09 00:00:00,11.57,261.75,15.74,129.75,57.44,24.85,63.95,1127.79,60.55 -2010-08-10 00:00:00,11.26,259.41,15.62,129.59,56.85,24.33,64.06,1121.06,60.05 -2010-08-11 00:00:00,10.58,250.19,15.09,127.62,55.96,24.12,63.02,1089.47,58.97 -2010-08-12 00:00:00,10.65,251.79,14.89,126.11,55.97,23.76,62.76,1083.61,58.82 -2010-08-13 00:00:00,10.56,249.1,14.78,125.69,55.62,23.67,63.12,1079.25,58.5 -2010-08-16 00:00:00,10.52,247.64,14.86,125.59,55.49,23.77,63.0,1079.38,58.47 -2010-08-17 00:00:00,10.86,251.97,14.97,126.26,56.64,24.1,63.11,1092.54,59.39 -2010-08-18 00:00:00,10.84,253.07,15.09,127.18,56.77,24.21,63.09,1094.16,58.74 -2010-08-19 00:00:00,10.58,249.88,14.65,126.7,56.17,23.84,62.26,1075.63,57.9 -2010-08-20 00:00:00,10.49,249.64,14.44,125.33,56.19,23.64,62.39,1071.69,57.51 -2010-08-23 00:00:00,10.29,245.8,14.31,124.31,56.31,23.68,62.41,1067.36,58.1 -2010-08-24 00:00:00,9.98,239.93,14.0,122.77,55.49,23.45,62.37,1051.87,57.56 -2010-08-25 00:00:00,10.03,242.89,14.0,123.13,55.46,23.51,62.17,1055.33,57.53 -2010-08-26 00:00:00,9.93,240.28,13.93,120.69,55.29,23.24,61.75,1047.22,57.11 -2010-08-27 00:00:00,10.24,241.62,14.14,122.6,55.61,23.34,61.74,1064.59,58.4 -2010-08-30 00:00:00,10.17,242.5,13.95,121.3,55.32,23.06,61.24,1048.92,57.61 -2010-08-31 00:00:00,10.14,243.1,13.91,121.03,55.05,22.89,61.8,1049.33,57.72 -2010-09-01 00:00:00,10.44,250.33,14.42,123.63,56.28,23.31,62.95,1080.29,59.48 -2010-09-02 00:00:00,10.74,252.17,14.56,122.91,56.59,23.35,63.03,1090.1,59.63 -2010-09-03 00:00:00,10.79,258.77,14.79,125.41,56.9,23.69,63.61,1104.51,59.88 -2010-09-07 00:00:00,10.77,257.81,14.84,123.8,56.68,23.37,63.52,1091.84,59.13 -2010-09-08 00:00:00,10.98,262.92,15.09,123.93,56.82,23.34,63.47,1098.87,59.32 -2010-09-09 00:00:00,11.14,263.07,15.29,124.21,57.76,23.42,64.12,1104.18,59.62 -2010-09-10 00:00:00,11.08,263.41,15.36,125.81,57.91,23.26,64.42,1109.55,59.76 -2010-09-13 00:00:00,11.43,267.04,15.62,127.4,58.24,24.49,64.27,1121.9,59.57 -2010-09-14 00:00:00,11.4,268.06,15.53,126.65,58.49,24.42,64.01,1121.1,59.58 -2010-09-15 00:00:00,11.34,270.22,15.7,127.22,58.95,24.5,64.51,1125.07,59.57 -2010-09-16 00:00:00,11.17,276.57,15.71,127.46,59.18,24.71,64.62,1124.66,59.54 -2010-09-17 00:00:00,11.08,275.37,15.77,127.97,59.45,24.6,64.14,1125.59,59.35 -2010-09-20 00:00:00,11.29,283.23,16.02,129.54,59.95,24.81,64.89,1142.71,60.1 -2010-09-21 00:00:00,11.08,283.77,15.99,129.73,59.8,24.53,64.47,1139.78,60.09 -2010-09-22 00:00:00,11.61,287.75,15.97,130.31,59.83,24.01,64.67,1134.28,60.01 -2010-09-23 00:00:00,11.65,288.92,15.62,129.43,59.68,23.83,63.82,1124.83,59.71 -2010-09-24 00:00:00,12.1,292.32,16.13,131.82,60.0,24.17,64.15,1148.67,60.3 -2010-09-27 00:00:00,11.98,291.16,15.9,132.35,59.89,24.12,64.39,1142.16,60.26 -2010-09-28 00:00:00,12.12,286.86,15.91,132.59,60.28,24.07,64.78,1147.7,60.6 -2010-09-29 00:00:00,11.99,287.37,15.84,133.17,60.16,23.9,64.75,1144.73,60.14 -2010-09-30 00:00:00,12.01,283.75,15.73,131.85,59.82,23.89,64.45,1141.2,60.34 -2010-10-01 00:00:00,12.13,282.52,15.84,133.33,59.62,23.78,65.0,1146.24,61.07 -2010-10-04 00:00:00,11.83,278.64,15.59,132.94,59.54,23.32,64.87,1137.03,60.73 -2010-10-05 00:00:00,12.04,288.94,15.98,135.31,60.64,23.75,65.73,1160.75,61.77 -2010-10-06 00:00:00,12.27,289.19,16.36,135.49,61.03,23.83,66.07,1159.97,62.44 -2010-10-07 00:00:00,12.1,289.22,16.51,136.36,61.04,23.93,64.12,1158.06,62.35 -2010-10-08 00:00:00,12.79,294.07,16.57,136.48,61.05,23.97,63.78,1165.15,62.87 -2010-10-11 00:00:00,12.83,295.36,16.42,137.28,61.12,23.99,63.56,1165.32,63.03 -2010-10-12 00:00:00,13.1,298.54,16.64,137.47,61.11,24.22,64.1,1169.77,63.18 -2010-10-13 00:00:00,13.27,300.14,16.73,137.98,61.39,24.72,64.41,1178.1,63.51 -2010-10-14 00:00:00,13.03,302.31,16.61,139.09,61.54,24.61,64.65,1173.81,63.77 -2010-10-15 00:00:00,13.03,314.74,15.78,138.66,61.38,24.91,64.69,1176.19,63.66 -2010-10-18 00:00:00,13.04,318.0,15.73,140.4,61.66,25.19,64.51,1184.71,64.72 -2010-10-19 00:00:00,12.57,309.49,15.56,135.68,61.11,24.48,63.45,1165.9,63.59 -2010-10-20 00:00:00,12.85,310.53,15.54,136.7,61.41,24.69,63.03,1178.17,64.46 -2010-10-21 00:00:00,12.68,309.52,15.59,137.45,61.78,24.8,63.23,1180.26,64.76 -2010-10-22 00:00:00,12.62,307.47,15.55,137.29,61.61,24.76,63.07,1183.08,64.78 -2010-10-25 00:00:00,12.78,308.84,15.55,137.46,61.77,24.57,63.1,1185.62,64.64 -2010-10-26 00:00:00,12.77,308.05,15.64,138.27,61.64,25.26,62.85,1185.64,64.97 -2010-10-27 00:00:00,12.6,307.83,15.6,139.02,61.38,25.41,62.35,1182.45,64.13 -2010-10-28 00:00:00,12.55,305.24,15.57,138.5,61.37,25.64,63.07,1183.78,64.66 -2010-10-29 00:00:00,13.04,300.98,15.51,141.15,61.54,26.02,63.35,1183.26,64.93 -2010-11-01 00:00:00,12.95,304.18,15.44,140.88,61.49,26.29,63.59,1184.38,65.38 -2010-11-02 00:00:00,13.14,309.36,15.43,141.39,61.68,26.72,63.83,1193.57,66.25 -2010-11-03 00:00:00,13.07,312.8,15.55,141.71,61.98,26.37,63.25,1197.96,66.37 -2010-11-04 00:00:00,13.52,318.27,15.98,144.29,62.53,26.47,63.4,1221.06,67.75 -2010-11-05 00:00:00,13.92,317.13,16.2,144.42,62.42,26.19,63.13,1225.85,68.36 -2010-11-08 00:00:00,13.88,318.62,16.18,144.6,62.11,26.15,63.16,1223.25,68.67 -2010-11-09 00:00:00,13.67,316.08,16.09,144.29,62.09,26.29,63.35,1213.4,69.41 -2010-11-10 00:00:00,13.8,318.03,16.02,144.69,61.75,26.28,63.3,1218.71,69.9 -2010-11-11 00:00:00,13.73,316.65,15.83,143.59,61.72,26.03,62.96,1213.54,70.58 -2010-11-12 00:00:00,13.41,308.03,15.73,141.92,61.48,25.63,62.71,1199.21,69.76 -2010-11-15 00:00:00,13.32,307.04,15.68,141.82,61.93,25.56,62.49,1197.75,69.26 -2010-11-16 00:00:00,12.96,301.59,15.35,140.44,60.96,25.33,62.13,1178.34,67.74 -2010-11-17 00:00:00,12.87,300.5,15.3,140.15,60.89,25.1,62.03,1178.59,67.81 -2010-11-18 00:00:00,13.31,308.43,15.53,142.53,61.63,25.36,62.83,1196.69,69.09 -2010-11-19 00:00:00,13.31,306.73,15.7,143.21,61.63,25.21,62.77,1199.73,69.32 -2010-11-22 00:00:00,13.22,313.36,15.52,143.55,61.43,25.25,62.77,1197.84,68.97 -2010-11-23 00:00:00,13.06,308.73,15.26,141.36,60.7,24.65,61.98,1180.73,67.78 -2010-11-24 00:00:00,13.24,314.8,15.43,143.96,61.11,24.9,62.41,1198.35,68.67 -2010-11-26 00:00:00,13.1,315.0,15.3,142.08,60.67,24.78,61.99,1189.4,68.03 -2010-11-29 00:00:00,13.22,316.87,15.46,141.08,60.29,24.84,62.1,1187.76,68.25 -2010-11-30 00:00:00,13.06,311.15,15.32,139.67,59.94,24.79,62.7,1180.55,68.35 -2010-12-01 00:00:00,13.49,316.4,15.78,142.58,60.79,25.56,64.14,1206.07,70.09 -2010-12-02 00:00:00,14.01,318.15,16.15,143.34,60.96,26.39,63.72,1221.53,70.24 -2010-12-03 00:00:00,14.15,317.44,16.24,143.54,60.92,26.52,63.69,1224.71,69.96 -2010-12-06 00:00:00,14.16,320.15,16.17,143.15,60.57,26.34,63.26,1223.12,70.07 -2010-12-07 00:00:00,14.07,318.21,16.49,142.19,60.68,26.37,63.22,1223.75,70.22 -2010-12-08 00:00:00,14.06,321.01,16.5,143.14,60.82,26.73,63.17,1228.28,70.6 -2010-12-09 00:00:00,14.07,319.76,16.58,142.47,60.44,26.58,63.25,1233.0,70.75 -2010-12-10 00:00:00,14.17,320.56,17.15,142.98,60.29,26.83,63.43,1240.4,70.93 -2010-12-13 00:00:00,14.28,321.67,17.06,142.45,60.24,26.74,64.05,1240.46,71.11 -2010-12-14 00:00:00,14.12,320.29,17.12,143.97,61.13,27.11,64.1,1241.59,70.93 -2010-12-15 00:00:00,13.88,320.36,16.93,142.89,60.93,27.33,63.76,1235.23,70.6 -2010-12-16 00:00:00,14.38,321.25,17.2,142.72,60.77,27.47,64.26,1242.87,70.97 -2010-12-17 00:00:00,14.48,320.61,17.13,143.16,60.9,27.38,64.48,1243.91,70.92 -2010-12-20 00:00:00,14.69,322.21,17.13,142.68,60.86,27.29,64.81,1247.08,70.97 -2010-12-21 00:00:00,14.81,324.2,17.33,143.89,60.71,27.55,63.92,1254.6,71.46 -2010-12-22 00:00:00,15.06,325.16,17.62,144.1,60.4,27.67,64.19,1258.84,71.54 -2010-12-23 00:00:00,15.25,323.6,17.6,144.04,60.62,27.78,64.2,1256.77,71.93 -2010-12-27 00:00:00,15.14,324.68,17.75,143.5,60.31,27.55,63.94,1257.54,71.74 -2010-12-28 00:00:00,15.16,325.47,17.87,143.86,60.43,27.49,63.8,1258.51,72.15 -2010-12-29 00:00:00,15.05,325.29,17.83,144.66,60.5,27.45,63.85,1259.78,72.1 -2010-12-30 00:00:00,15.12,323.66,17.75,144.81,60.32,27.33,63.65,1257.88,72.09 -2010-12-31 00:00:00,15.3,322.56,17.84,144.9,60.23,27.39,63.85,1257.64,71.85 -2011-01-03 00:00:00,15.71,329.57,17.84,145.61,61.18,27.46,64.26,1271.87,73.26 -2011-01-04 00:00:00,16.43,331.29,18.16,145.77,61.69,27.57,63.93,1270.2,73.6 -2011-01-05 00:00:00,16.47,334.0,18.19,145.19,61.65,27.48,65.08,1276.56,73.4 -2011-01-06 00:00:00,16.27,333.73,18.11,146.78,61.56,28.29,65.33,1273.85,73.88 -2011-01-07 00:00:00,16.33,336.12,17.98,146.05,60.96,28.07,64.89,1271.5,74.28 -2011-01-10 00:00:00,16.4,342.45,18.06,145.77,60.53,27.7,64.55,1269.75,73.83 -2011-01-11 00:00:00,16.24,341.64,18.18,145.41,60.64,27.59,64.83,1274.48,74.38 -2011-01-12 00:00:00,16.15,344.42,18.22,147.21,60.86,28.02,65.22,1285.96,75.25 -2011-01-13 00:00:00,15.66,345.68,18.15,146.93,61.26,27.67,65.39,1283.76,75.38 -2011-01-14 00:00:00,15.88,348.48,18.36,148.1,60.91,27.78,65.27,1293.24,76.49 -2011-01-18 00:00:00,16.18,340.65,18.15,148.74,60.48,28.13,65.06,1295.02,77.35 -2011-01-19 00:00:00,15.97,338.84,17.88,153.72,60.92,27.94,64.41,1281.92,76.88 -2011-01-20 00:00:00,15.89,332.68,17.98,153.82,61.22,27.82,64.41,1280.26,76.4 -2011-01-21 00:00:00,15.7,326.72,19.26,153.53,61.02,27.5,64.38,1283.35,77.61 -2011-01-24 00:00:00,16.34,337.45,19.55,157.61,60.59,27.85,64.68,1290.84,77.23 -2011-01-25 00:00:00,16.15,341.4,19.49,159.39,59.48,27.92,64.28,1291.18,77.32 -2011-01-26 00:00:00,16.51,343.85,19.44,159.0,59.01,28.25,64.37,1296.63,78.28 -2011-01-27 00:00:00,16.38,343.21,19.79,159.03,59.09,28.33,64.08,1299.54,78.49 -2011-01-28 00:00:00,16.04,336.1,19.71,157.19,58.44,27.24,62.94,1276.34,77.62 -2011-01-31 00:00:00,16.48,339.32,19.65,159.95,58.21,27.22,62.85,1286.12,79.28 -2011-02-01 00:00:00,17.22,345.03,20.29,161.49,59.04,27.47,63.58,1307.59,82.45 -2011-02-02 00:00:00,17.14,344.32,20.21,161.23,59.03,27.42,63.19,1304.03,81.96 -2011-02-03 00:00:00,17.14,343.44,20.25,161.46,59.21,27.14,62.73,1307.1,81.99 -2011-02-04 00:00:00,17.07,346.5,20.06,161.92,59.25,27.26,62.39,1310.87,81.84 -2011-02-07 00:00:00,17.25,351.88,20.36,162.73,59.28,27.68,62.24,1319.05,82.47 -2011-02-08 00:00:00,17.33,355.2,20.76,164.59,59.35,27.76,62.72,1324.57,81.97 -2011-02-09 00:00:00,17.09,358.16,20.79,163.21,59.29,27.45,62.96,1320.88,81.55 -2011-02-10 00:00:00,17.05,354.54,20.75,162.65,59.34,26.99,61.93,1321.87,82.19 -2011-02-11 00:00:00,17.3,356.85,20.81,162.41,59.11,26.74,62.42,1329.15,81.81 -2011-02-14 00:00:00,17.52,359.18,20.98,161.79,59.11,26.73,61.91,1332.32,83.88 -2011-02-15 00:00:00,17.33,359.9,20.94,161.41,59.03,26.62,62.89,1328.01,81.96 -2011-02-16 00:00:00,17.52,363.13,20.92,161.97,58.94,26.68,62.51,1336.32,82.67 -2011-02-17 00:00:00,17.45,358.3,21.0,162.8,59.2,26.86,63.23,1340.43,82.86 -2011-02-18 00:00:00,17.21,350.56,20.92,163.39,59.51,26.72,61.97,1343.01,83.47 -2011-02-22 00:00:00,16.48,338.61,20.31,160.53,59.06,26.25,61.72,1315.44,84.4 -2011-02-23 00:00:00,16.38,342.62,19.87,158.78,58.81,26.25,61.51,1307.4,86.01 -2011-02-24 00:00:00,16.49,342.88,20.22,159.36,58.67,26.43,61.6,1306.1,84.92 -2011-02-25 00:00:00,16.62,348.16,20.45,160.86,58.61,26.21,62.16,1319.88,84.3 -2011-02-28 00:00:00,16.78,353.21,20.55,160.46,60.37,26.24,61.98,1327.22,84.49 -2011-03-01 00:00:00,16.17,349.31,19.89,158.57,59.65,25.83,61.78,1306.33,83.77 -2011-03-02 00:00:00,16.12,352.12,19.96,158.76,59.75,25.75,61.99,1308.44,84.05 -2011-03-03 00:00:00,16.57,359.56,20.39,162.05,59.99,25.87,62.78,1330.97,84.78 -2011-03-04 00:00:00,16.52,360.0,20.01,160.41,60.0,25.62,62.44,1321.15,84.05 -2011-03-07 00:00:00,16.19,355.36,20.02,158.53,59.35,25.39,62.51,1310.13,83.69 -2011-03-08 00:00:00,16.43,355.76,20.27,160.86,59.66,25.58,62.82,1321.82,83.57 -2011-03-09 00:00:00,16.24,352.47,20.27,164.41,59.35,25.56,63.67,1320.02,83.35 -2011-03-10 00:00:00,15.74,346.67,19.75,160.6,58.58,25.09,63.45,1295.11,80.39 -2011-03-11 00:00:00,15.97,351.99,20.0,161.01,58.65,25.35,63.67,1304.28,81.12 -2011-03-14 00:00:00,16.06,353.56,19.57,159.97,58.1,25.36,63.17,1296.39,81.38 -2011-03-15 00:00:00,15.98,345.43,19.27,157.63,57.47,25.07,62.05,1281.87,80.4 -2011-03-16 00:00:00,15.6,330.01,18.62,151.66,56.66,24.47,61.37,1256.88,78.35 -2011-03-17 00:00:00,15.95,334.64,18.88,152.83,57.12,24.46,62.12,1273.72,80.17 -2011-03-18 00:00:00,16.05,330.67,18.91,154.52,57.55,24.48,62.28,1279.21,79.87 -2011-03-21 00:00:00,16.49,339.3,19.37,156.3,57.81,25.01,63.13,1298.38,81.83 -2011-03-22 00:00:00,16.39,341.2,19.15,156.61,57.77,24.98,62.97,1293.77,81.56 -2011-03-23 00:00:00,16.88,339.19,19.19,158.13,57.7,25.21,63.23,1297.54,81.6 -2011-03-24 00:00:00,17.04,344.97,19.43,158.64,58.01,25.48,63.23,1309.66,81.72 -2011-03-25 00:00:00,17.02,351.54,19.4,160.76,57.96,25.29,63.01,1313.8,82.6 -2011-03-28 00:00:00,17.17,350.44,19.4,159.96,58.21,25.09,63.36,1310.19,82.45 -2011-03-29 00:00:00,17.42,350.96,19.51,161.45,58.19,25.17,63.19,1319.44,82.24 -2011-03-30 00:00:00,17.57,348.63,19.76,162.17,58.35,25.28,64.06,1328.26,83.46 -2011-03-31 00:00:00,17.59,348.51,19.7,161.64,58.22,25.07,63.43,1325.83,83.11 -2011-04-01 00:00:00,17.4,344.56,19.98,162.83,58.46,25.16,64.23,1332.41,83.65 -2011-04-04 00:00:00,17.49,341.19,20.17,162.81,59.11,25.22,64.1,1332.87,83.84 -2011-04-05 00:00:00,17.98,338.89,19.97,162.55,58.76,25.45,64.59,1332.63,84.38 -2011-04-06 00:00:00,18.06,338.04,20.19,162.6,58.62,25.82,64.75,1335.54,84.14 -2011-04-07 00:00:00,18.05,338.08,19.99,162.94,58.45,25.87,64.92,1333.51,84.72 -2011-04-08 00:00:00,17.85,335.06,19.84,162.61,58.43,25.74,64.73,1328.17,84.9 -2011-04-11 00:00:00,17.7,330.8,19.83,162.51,58.82,25.65,65.04,1324.46,84.12 -2011-04-12 00:00:00,16.64,332.4,19.66,161.82,58.9,25.31,65.56,1314.16,82.17 -2011-04-13 00:00:00,16.49,336.13,19.59,162.51,58.57,25.3,65.44,1314.41,82.15 -2011-04-14 00:00:00,16.49,332.42,19.65,163.52,58.98,25.1,65.69,1314.52,82.43 -2011-04-15 00:00:00,16.46,327.46,19.69,164.75,59.51,25.05,66.09,1319.68,83.26 -2011-04-18 00:00:00,16.07,331.85,19.63,164.48,59.41,24.76,66.13,1305.14,82.09 -2011-04-19 00:00:00,16.38,337.86,19.91,163.95,61.6,24.83,65.8,1312.62,82.78 -2011-04-20 00:00:00,16.58,342.41,20.04,163.31,63.27,25.43,66.31,1330.36,84.61 -2011-04-21 00:00:00,16.9,350.7,19.6,166.8,62.96,25.19,66.39,1337.38,85.31 -2011-04-25 00:00:00,16.82,353.01,19.54,166.2,63.0,25.28,66.01,1335.25,85.17 -2011-04-26 00:00:00,16.96,350.42,19.75,167.01,63.82,25.86,66.68,1347.24,86.36 -2011-04-27 00:00:00,17.11,350.15,20.29,168.88,64.43,26.04,66.9,1355.66,86.71 -2011-04-28 00:00:00,17.02,346.75,20.24,169.28,64.25,26.37,68.66,1360.48,86.28 -2011-04-29 00:00:00,16.93,350.13,20.09,169.08,64.58,25.59,67.85,1363.61,86.91 -2011-05-02 00:00:00,17.15,346.28,20.12,170.64,65.06,25.33,68.26,1361.22,85.91 -2011-05-03 00:00:00,17.6,348.2,20.28,171.35,65.11,25.48,68.53,1356.62,84.58 -2011-05-04 00:00:00,17.4,349.57,19.91,169.12,64.53,25.73,68.77,1347.32,83.78 -2011-05-05 00:00:00,16.94,346.75,19.55,166.98,63.88,25.46,67.79,1335.1,81.62 -2011-05-06 00:00:00,17.08,346.66,19.66,168.16,64.14,25.54,68.22,1340.2,81.68 -2011-05-09 00:00:00,17.46,347.6,19.72,168.37,64.49,25.5,68.76,1346.29,82.17 -2011-05-10 00:00:00,17.45,349.45,19.94,169.64,64.62,25.34,68.97,1357.16,82.33 -2011-05-11 00:00:00,16.98,347.23,19.74,168.77,65.41,25.04,69.14,1342.08,80.59 -2011-05-12 00:00:00,17.11,346.57,19.79,171.49,66.02,25.0,69.88,1348.65,80.52 -2011-05-13 00:00:00,17.06,340.5,19.54,169.18,65.46,24.71,69.49,1337.77,80.34 -2011-05-16 00:00:00,16.88,333.3,19.41,168.13,65.22,24.26,69.65,1329.47,79.71 -2011-05-17 00:00:00,16.42,336.14,19.25,169.76,65.25,24.37,70.03,1328.98,79.88 -2011-05-18 00:00:00,16.65,339.87,19.41,169.7,65.35,24.54,70.19,1340.68,81.2 -2011-05-19 00:00:00,16.63,340.53,19.61,169.85,65.24,24.56,70.69,1343.6,81.79 -2011-05-20 00:00:00,16.23,335.22,19.28,169.42,64.55,24.34,70.22,1333.27,81.03 -2011-05-23 00:00:00,15.95,334.4,19.05,167.53,64.42,24.02,69.96,1317.37,80.14 -2011-05-24 00:00:00,16.08,332.19,18.76,167.26,64.64,24.0,69.9,1316.28,80.76 -2011-05-25 00:00:00,16.3,336.78,18.88,167.02,65.14,24.04,69.38,1320.47,81.42 -2011-05-26 00:00:00,16.34,335.0,19.08,166.46,64.93,24.52,69.35,1325.69,81.85 -2011-05-27 00:00:00,16.45,337.41,19.1,166.77,66.18,24.6,69.33,1331.1,82.09 -2011-05-31 00:00:00,16.77,347.83,19.29,168.2,66.7,24.85,70.04,1345.2,82.92 -2011-06-01 00:00:00,16.06,345.51,18.79,165.84,65.89,24.28,69.73,1314.55,81.49 -2011-06-02 00:00:00,16.17,346.1,18.75,165.37,65.89,24.07,68.96,1312.94,80.8 -2011-06-03 00:00:00,15.89,343.44,18.49,164.33,65.51,23.76,68.42,1300.16,80.65 -2011-06-06 00:00:00,15.58,338.04,18.14,164.04,65.47,23.86,68.34,1286.17,79.76 -2011-06-07 00:00:00,15.66,332.04,18.16,162.98,64.92,23.91,68.38,1284.94,79.48 -2011-06-08 00:00:00,15.38,332.24,18.18,163.63,65.56,23.79,68.29,1279.56,80.23 -2011-06-09 00:00:00,15.47,331.49,18.25,164.13,66.19,23.81,68.96,1289.0,80.65 -2011-06-10 00:00:00,15.25,325.9,18.0,162.47,65.51,23.56,68.14,1270.98,79.26 -2011-06-13 00:00:00,15.07,326.6,18.07,162.46,66.0,23.89,68.51,1271.83,78.71 -2011-06-14 00:00:00,15.38,332.44,18.27,163.41,66.51,24.07,69.01,1287.87,79.85 -2011-06-15 00:00:00,14.93,326.75,18.07,161.63,65.58,23.59,67.93,1265.42,78.14 -2011-06-16 00:00:00,14.76,325.16,18.26,161.96,65.73,23.85,68.34,1267.64,78.7 -2011-06-17 00:00:00,14.69,320.26,18.31,163.73,65.7,24.11,68.17,1271.5,78.5 -2011-06-20 00:00:00,14.75,315.32,18.3,164.3,65.92,24.32,68.43,1278.36,79.19 -2011-06-21 00:00:00,15.34,325.3,18.63,165.5,65.9,24.6,68.38,1295.52,80.04 -2011-06-22 00:00:00,15.26,322.61,18.38,164.96,65.49,24.5,68.23,1287.14,79.3 -2011-06-23 00:00:00,15.25,331.23,18.21,165.4,65.09,24.48,67.44,1283.5,77.93 -2011-06-24 00:00:00,15.2,326.35,17.8,164.35,64.49,24.15,67.9,1268.45,76.28 -2011-06-27 00:00:00,15.25,332.04,18.11,166.89,64.67,25.04,68.5,1280.1,77.41 -2011-06-28 00:00:00,15.62,335.26,18.26,169.27,65.33,25.64,69.06,1296.67,79.11 -2011-06-29 00:00:00,15.79,334.04,18.38,169.8,65.72,25.46,69.4,1307.41,79.72 -2011-06-30 00:00:00,15.83,335.67,18.68,170.81,65.93,25.84,69.87,1320.64,80.85 -2011-07-01 00:00:00,16.28,343.26,19.02,173.78,66.71,25.86,69.63,1339.67,81.47 -2011-07-05 00:00:00,16.36,349.43,18.86,174.67,67.02,25.87,69.21,1337.88,81.06 -2011-07-06 00:00:00,16.21,351.76,18.87,176.94,66.95,26.16,69.61,1339.22,81.03 -2011-07-07 00:00:00,16.46,357.2,19.12,175.71,67.32,26.6,69.96,1353.22,81.82 -2011-07-08 00:00:00,16.35,359.71,18.81,175.72,66.97,26.75,69.37,1343.8,81.88 -2011-07-11 00:00:00,15.88,354.0,18.45,174.23,66.68,26.46,68.75,1319.49,81.36 -2011-07-12 00:00:00,15.68,353.75,18.21,173.3,66.44,26.37,68.46,1313.64,81.35 -2011-07-13 00:00:00,15.82,358.02,18.33,173.56,67.03,26.46,68.34,1317.72,81.94 -2011-07-14 00:00:00,15.43,357.77,18.35,173.47,67.06,26.3,68.05,1308.87,81.7 -2011-07-15 00:00:00,15.45,364.92,18.24,174.78,66.85,26.61,67.98,1316.14,82.46 -2011-07-18 00:00:00,15.14,373.8,18.12,174.52,66.5,26.42,67.46,1305.44,82.11 -2011-07-19 00:00:00,15.41,376.85,18.4,184.41,66.13,27.37,67.99,1326.73,83.08 -2011-07-20 00:00:00,15.48,386.9,18.61,182.85,65.66,26.89,67.94,1325.84,82.75 -2011-07-21 00:00:00,15.74,387.29,18.98,184.1,65.88,26.93,65.64,1343.8,84.46 -2011-07-22 00:00:00,15.8,393.3,18.86,184.38,66.13,27.36,65.24,1345.02,84.66 -2011-07-25 00:00:00,15.62,398.5,18.78,182.9,65.66,27.73,63.86,1337.43,84.02 -2011-07-26 00:00:00,15.45,403.41,18.38,182.14,65.34,27.9,63.56,1331.94,83.82 -2011-07-27 00:00:00,14.9,392.59,17.94,180.56,64.65,27.16,63.35,1304.89,82.76 -2011-07-28 00:00:00,14.8,391.82,17.94,181.01,64.51,27.55,63.38,1300.67,80.93 -2011-07-29 00:00:00,14.7,390.48,17.74,181.06,64.22,27.23,63.53,1292.28,79.27 -2011-08-01 00:00:00,14.72,396.75,17.8,179.97,63.84,27.1,63.35,1286.94,79.08 -2011-08-02 00:00:00,14.13,388.91,17.05,177.28,62.87,26.63,62.68,1254.05,77.33 -2011-08-03 00:00:00,14.26,392.57,17.3,178.05,62.85,26.75,63.97,1260.34,77.21 -2011-08-04 00:00:00,12.94,377.37,16.31,170.74,61.29,25.78,62.84,1200.07,73.36 -2011-08-05 00:00:00,12.79,373.62,16.35,172.23,62.16,25.52,64.15,1199.38,74.33 -2011-08-08 00:00:00,11.33,353.21,15.28,166.22,60.58,24.33,62.47,1119.46,69.73 -2011-08-09 00:00:00,12.24,374.01,15.81,170.61,61.65,25.42,62.59,1172.53,71.17 -2011-08-10 00:00:00,11.6,363.69,14.95,162.54,59.67,24.05,59.84,1120.76,68.03 -2011-08-11 00:00:00,12.25,373.7,15.53,166.73,62.88,25.03,62.37,1172.64,71.58 -2011-08-12 00:00:00,12.26,376.99,15.73,168.2,62.8,24.94,62.68,1178.81,72.0 -2011-08-15 00:00:00,12.56,383.41,16.23,172.99,64.02,25.35,63.06,1204.49,74.29 -2011-08-16 00:00:00,12.26,380.48,16.0,171.24,63.79,25.35,63.25,1192.76,73.5 -2011-08-17 00:00:00,12.26,380.44,16.08,171.48,63.69,25.25,64.1,1193.89,74.16 -2011-08-18 00:00:00,11.51,366.05,15.19,163.83,62.6,24.67,62.59,1140.65,70.94 -2011-08-19 00:00:00,11.21,356.03,14.95,157.54,62.58,24.05,61.57,1123.53,69.8 -2011-08-22 00:00:00,11.23,356.44,14.97,158.98,62.73,23.98,61.43,1123.82,70.18 -2011-08-23 00:00:00,11.68,373.6,15.39,164.32,64.4,24.72,62.97,1162.35,73.66 -2011-08-24 00:00:00,11.87,376.18,15.57,166.76,64.95,24.9,63.19,1177.6,73.54 -2011-08-25 00:00:00,11.59,373.72,15.3,165.58,63.98,24.57,62.52,1159.27,71.77 -2011-08-26 00:00:00,11.86,383.58,15.39,169.14,64.28,25.25,62.66,1176.8,72.64 -2011-08-29 00:00:00,12.42,389.97,15.89,172.62,65.86,25.84,63.65,1210.08,74.12 -2011-08-30 00:00:00,12.36,389.99,15.97,172.51,65.77,26.23,64.0,1212.92,73.91 -2011-08-31 00:00:00,12.8,384.83,16.16,171.91,65.8,26.6,64.43,1218.89,74.02 -2011-09-01 00:00:00,12.49,381.03,16.05,170.33,65.33,26.21,64.15,1204.42,73.49 -2011-09-02 00:00:00,12.04,374.05,15.61,166.98,64.07,25.8,63.3,1173.97,72.14 -2011-09-06 00:00:00,11.77,379.74,15.11,165.11,64.64,25.51,62.45,1165.24,71.15 -2011-09-07 00:00:00,12.25,383.93,15.65,167.31,65.43,26.0,61.62,1198.62,73.65 -2011-09-08 00:00:00,12.03,384.14,15.44,165.25,64.95,26.22,61.34,1185.9,72.82 -2011-09-09 00:00:00,11.58,377.48,14.95,161.37,63.64,25.74,59.99,1154.23,71.01 -2011-09-12 00:00:00,11.55,379.94,14.87,162.42,63.59,25.89,60.14,1162.27,71.84 -2011-09-13 00:00:00,11.63,384.62,15.26,163.43,63.61,26.04,60.54,1172.87,71.65 -2011-09-14 00:00:00,11.73,389.3,15.64,167.24,63.73,26.5,61.58,1188.68,72.64 -2011-09-15 00:00:00,11.98,392.96,16.08,170.09,64.4,26.99,63.22,1209.11,74.01 -2011-09-16 00:00:00,11.97,400.5,16.33,172.99,64.59,27.12,62.05,1216.01,74.55 -2011-09-19 00:00:00,11.58,411.63,16.18,173.13,64.14,27.21,60.56,1204.09,73.7 -2011-09-20 00:00:00,11.25,413.45,16.04,174.72,64.22,26.98,60.39,1202.09,74.01 -2011-09-21 00:00:00,10.84,412.14,15.38,173.02,63.13,25.99,60.79,1166.76,71.97 -2011-09-22 00:00:00,10.11,401.82,15.04,168.62,61.92,25.06,60.92,1129.56,69.24 -2011-09-23 00:00:00,10.07,404.3,15.21,169.34,61.59,25.06,60.34,1136.43,69.31 -2011-09-26 00:00:00,10.45,403.17,15.57,174.51,62.69,25.44,61.89,1162.95,71.72 -2011-09-27 00:00:00,10.48,399.26,15.76,177.71,63.82,25.67,62.43,1175.38,72.91 -2011-09-28 00:00:00,9.97,397.01,15.45,177.55,63.25,25.58,61.97,1151.06,72.07 -2011-09-29 00:00:00,10.06,390.57,15.86,179.17,63.9,25.45,62.58,1160.4,73.88 -2011-09-30 00:00:00,9.57,381.32,15.22,174.87,63.69,24.89,61.9,1131.42,72.63 -2011-10-03 00:00:00,8.9,374.6,14.69,173.29,62.08,24.53,60.29,1099.23,71.15 -2011-10-04 00:00:00,9.12,372.5,14.86,174.74,62.17,25.34,60.45,1123.95,72.83 -2011-10-05 00:00:00,9.37,378.25,15.27,176.85,62.35,25.89,60.29,1144.03,73.95 -2011-10-06 00:00:00,9.88,377.37,15.53,181.69,62.81,26.34,60.57,1164.97,73.89 -2011-10-07 00:00:00,9.71,369.8,15.5,182.39,63.13,26.25,61.02,1155.46,73.56 -2011-10-10 00:00:00,10.09,388.81,16.14,186.62,64.43,26.94,61.87,1194.89,76.28 -2011-10-11 00:00:00,10.3,400.29,16.14,185.0,63.96,27.0,60.95,1195.54,76.27 -2011-10-12 00:00:00,10.05,402.19,16.4,186.12,64.33,26.96,62.7,1207.25,77.16 -2011-10-13 00:00:00,10.1,408.43,16.22,186.82,64.23,27.18,62.36,1203.66,76.37 -2011-10-14 00:00:00,10.26,422.0,16.6,190.53,64.72,27.27,62.24,1224.58,78.11 diff --git a/ch12.ipynb b/ch12.ipynb index c88f90d17..52e49f07d 100644 --- a/ch12.ipynb +++ b/ch12.ipynb @@ -1,2189 +1,550 @@ { - "metadata": { - "name": "", - "signature": "sha256:ee839a37538f481abf14fdebcd8219c687df840e35bf9d9437399180d9b23a7f" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "np.random.seed(12345)\n", + "import matplotlib.pyplot as plt\n", + "plt.rc('figure', figsize=(10, 6))\n", + "PREVIOUS_MAX_ROWS = pd.options.display.max_rows\n", + "pd.options.display.max_columns = 20\n", + "pd.options.display.max_rows = 20\n", + "pd.options.display.max_colwidth = 80\n", + "np.set_printoptions(precision=4, suppress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame({\n", + " 'x0': [1, 2, 3, 4, 5],\n", + " 'x1': [0.01, -0.01, 0.25, -4.1, 0.],\n", + " 'y': [-1.5, 0., 3.6, 1.3, -2.]})\n", + "data\n", + "data.columns\n", + "data.to_numpy()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "df2 = pd.DataFrame(data.to_numpy(), columns=['one', 'two', 'three'])\n", + "df2" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "df3 = data.copy()\n", + "df3['strings'] = ['a', 'b', 'c', 'd', 'e']\n", + "df3\n", + "df3.to_numpy()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "model_cols = ['x0', 'x1']\n", + "data.loc[:, model_cols].to_numpy()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "data['category'] = pd.Categorical(['a', 'b', 'a', 'a', 'b'],\n", + " categories=['a', 'b'])\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "dummies = pd.get_dummies(data.category, prefix='category',\n", + " dtype=float)\n", + "data_with_dummies = data.drop('category', axis=1).join(dummies)\n", + "data_with_dummies" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame({\n", + " 'x0': [1, 2, 3, 4, 5],\n", + " 'x1': [0.01, -0.01, 0.25, -4.1, 0.],\n", + " 'y': [-1.5, 0., 3.6, 1.3, -2.]})\n", + "data\n", + "import patsy\n", + "y, X = patsy.dmatrices('y ~ x0 + x1', data)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "y\n", + "X" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "np.asarray(y)\n", + "np.asarray(X)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "patsy.dmatrices('y ~ x0 + x1 + 0', data)[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "coef, resid, _, _ = np.linalg.lstsq(X, y, rcond=None)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "coef\n", + "coef = pd.Series(coef.squeeze(), index=X.design_info.column_names)\n", + "coef" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "y, X = patsy.dmatrices('y ~ x0 + np.log(np.abs(x1) + 1)', data)\n", + "X" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "y, X = patsy.dmatrices('y ~ standardize(x0) + center(x1)', data)\n", + "X" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "new_data = pd.DataFrame({\n", + " 'x0': [6, 7, 8, 9],\n", + " 'x1': [3.1, -0.5, 0, 2.3],\n", + " 'y': [1, 2, 3, 4]})\n", + "new_X = patsy.build_design_matrices([X.design_info], new_data)\n", + "new_X" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "y, X = patsy.dmatrices('y ~ I(x0 + x1)', data)\n", + "X" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame({\n", + " 'key1': ['a', 'a', 'b', 'b', 'a', 'b', 'a', 'b'],\n", + " 'key2': [0, 1, 0, 1, 0, 1, 0, 0],\n", + " 'v1': [1, 2, 3, 4, 5, 6, 7, 8],\n", + " 'v2': [-1, 0, 2.5, -0.5, 4.0, -1.2, 0.2, -1.7]\n", + "})\n", + "y, X = patsy.dmatrices('v2 ~ key1', data)\n", + "X" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "y, X = patsy.dmatrices('v2 ~ key1 + 0', data)\n", + "X" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "y, X = patsy.dmatrices('v2 ~ C(key2)', data)\n", + "X" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "data['key2'] = data['key2'].map({0: 'zero', 1: 'one'})\n", + "data\n", + "y, X = patsy.dmatrices('v2 ~ key1 + key2', data)\n", + "X\n", + "y, X = patsy.dmatrices('v2 ~ key1 + key2 + key1:key2', data)\n", + "X" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "import statsmodels.api as sm\n", + "import statsmodels.formula.api as smf" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "# To make the example reproducible\n", + "rng = np.random.default_rng(seed=12345)\n", + "\n", + "def dnorm(mean, variance, size=1):\n", + " if isinstance(size, int):\n", + " size = size,\n", + " return mean + np.sqrt(variance) * rng.standard_normal(*size)\n", + "\n", + "N = 100\n", + "X = np.c_[dnorm(0, 0.4, size=N),\n", + " dnorm(0, 0.6, size=N),\n", + " dnorm(0, 0.2, size=N)]\n", + "eps = dnorm(0, 0.1, size=N)\n", + "beta = [0.1, 0.3, 0.5]\n", + "\n", + "y = np.dot(X, beta) + eps" + ] + }, { - "cells": [ - { - "cell_type": "heading", - "level": 1, - "metadata": {}, - "source": [ - "Advanced NumPy" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from __future__ import division\n", - "from numpy.random import randn\n", - "from pandas import Series\n", - "import numpy as np\n", - "np.set_printoptions(precision=4)\n", - "import sys; sys.path.append('book_scripts')\n", - "%cd book_scripts" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "/home/phillip/Documents/code/py/pandas-book/rev_539000/book_scripts\n" - ] - } - ], - "prompt_number": 1 - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "ndarray object internals" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "NumPy dtype hierarchy" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "ints = np.ones(10, dtype=np.uint16)\n", - "floats = np.ones(10, dtype=np.float32)\n", - "np.issubdtype(ints.dtype, np.integer)\n", - "np.issubdtype(floats.dtype, np.floating)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 2, - "text": [ - "True" - ] - } - ], - "prompt_number": 2 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.float64.mro()" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 3, - "text": [ - "[numpy.float64,\n", - " numpy.floating,\n", - " numpy.inexact,\n", - " numpy.number,\n", - " numpy.generic,\n", - " float,\n", - " object]" - ] - } - ], - "prompt_number": 3 - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Advanced array manipulation" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Reshaping arrays" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(8)\n", - "arr\n", - "arr.reshape((4, 2))" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 4, - "text": [ - "array([[0, 1],\n", - " [2, 3],\n", - " [4, 5],\n", - " [6, 7]])" - ] - } - ], - "prompt_number": 4 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr.reshape((4, 2)).reshape((2, 4))" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 5, - "text": [ - "array([[0, 1, 2, 3],\n", - " [4, 5, 6, 7]])" - ] - } - ], - "prompt_number": 5 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(15)\n", - "arr.reshape((5, -1))" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 6, - "text": [ - "array([[ 0, 1, 2],\n", - " [ 3, 4, 5],\n", - " [ 6, 7, 8],\n", - " [ 9, 10, 11],\n", - " [12, 13, 14]])" - ] - } - ], - "prompt_number": 6 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "other_arr = np.ones((3, 5))\n", - "other_arr.shape\n", - "arr.reshape(other_arr.shape)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 7, - "text": [ - "array([[ 0, 1, 2, 3, 4],\n", - " [ 5, 6, 7, 8, 9],\n", - " [10, 11, 12, 13, 14]])" - ] - } - ], - "prompt_number": 7 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(15).reshape((5, 3))\n", - "arr\n", - "arr.ravel()" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 8, - "text": [ - "array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14])" - ] - } - ], - "prompt_number": 8 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr.flatten()" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 9, - "text": [ - "array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14])" - ] - } - ], - "prompt_number": 9 - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "C vs. Fortran order" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(12).reshape((3, 4))\n", - "arr\n", - "arr.ravel()\n", - "arr.ravel('F')" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 10, - "text": [ - "array([ 0, 4, 8, 1, 5, 9, 2, 6, 10, 3, 7, 11])" - ] - } - ], - "prompt_number": 10 - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Concatenating and splitting arrays" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr1 = np.array([[1, 2, 3], [4, 5, 6]])\n", - "arr2 = np.array([[7, 8, 9], [10, 11, 12]])\n", - "np.concatenate([arr1, arr2], axis=0)\n", - "np.concatenate([arr1, arr2], axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 11, - "text": [ - "array([[ 1, 2, 3, 7, 8, 9],\n", - " [ 4, 5, 6, 10, 11, 12]])" - ] - } - ], - "prompt_number": 11 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.vstack((arr1, arr2))\n", - "np.hstack((arr1, arr2))" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 12, - "text": [ - "array([[ 1, 2, 3, 7, 8, 9],\n", - " [ 4, 5, 6, 10, 11, 12]])" - ] - } - ], - "prompt_number": 12 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from numpy.random import randn\n", - "arr = randn(5, 2)\n", - "arr\n", - "first, second, third = np.split(arr, [1, 3])\n", - "first\n", - "second\n", - "third" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 13, - "text": [ - "array([[ 0.0865, -0.0964],\n", - " [ 1.7154, 0.3276]])" - ] - } - ], - "prompt_number": 13 - }, - { - "cell_type": "heading", - "level": 4, - "metadata": {}, - "source": [ - "Stacking helpers: " - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(6)\n", - "arr1 = arr.reshape((3, 2))\n", - "arr2 = randn(3, 2)\n", - "np.r_[arr1, arr2]\n", - "np.c_[np.r_[arr1, arr2], arr]" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 14, - "text": [ - "array([[ 0. , 1. , 0. ],\n", - " [ 2. , 3. , 1. ],\n", - " [ 4. , 5. , 2. ],\n", - " [-0.477 , 1.153 , 3. ],\n", - " [ 0.0919, -0.3852, 4. ],\n", - " [-1.891 , -1.4744, 5. ]])" - ] - } - ], - "prompt_number": 14 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.c_[1:6, -10:-5]" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 15, - "text": [ - "array([[ 1, -10],\n", - " [ 2, -9],\n", - " [ 3, -8],\n", - " [ 4, -7],\n", - " [ 5, -6]])" - ] - } - ], - "prompt_number": 15 - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Repeating elements: tile and repeat" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(3)\n", - "arr.repeat(3)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 16, - "text": [ - "array([0, 0, 0, 1, 1, 1, 2, 2, 2])" - ] - } - ], - "prompt_number": 16 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr.repeat([2, 3, 4])" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 17, - "text": [ - "array([0, 0, 1, 1, 1, 2, 2, 2, 2])" - ] - } - ], - "prompt_number": 17 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = randn(2, 2)\n", - "arr\n", - "arr.repeat(2, axis=0)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 18, - "text": [ - "array([[ 0.8373, -0.0382],\n", - " [ 0.8373, -0.0382],\n", - " [-2.3026, -3.1157],\n", - " [-2.3026, -3.1157]])" - ] - } - ], - "prompt_number": 18 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr.repeat([2, 3], axis=0)\n", - "arr.repeat([2, 3], axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 19, - "text": [ - "array([[ 0.8373, 0.8373, -0.0382, -0.0382, -0.0382],\n", - " [-2.3026, -2.3026, -3.1157, -3.1157, -3.1157]])" - ] - } - ], - "prompt_number": 19 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr\n", - "np.tile(arr, 2)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 20, - "text": [ - "array([[ 0.8373, -0.0382, 0.8373, -0.0382],\n", - " [-2.3026, -3.1157, -2.3026, -3.1157]])" - ] - } - ], - "prompt_number": 20 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr\n", - "np.tile(arr, (2, 1))\n", - "np.tile(arr, (3, 2))" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 21, - "text": [ - "array([[ 0.8373, -0.0382, 0.8373, -0.0382],\n", - " [-2.3026, -3.1157, -2.3026, -3.1157],\n", - " [ 0.8373, -0.0382, 0.8373, -0.0382],\n", - " [-2.3026, -3.1157, -2.3026, -3.1157],\n", - " [ 0.8373, -0.0382, 0.8373, -0.0382],\n", - " [-2.3026, -3.1157, -2.3026, -3.1157]])" - ] - } - ], - "prompt_number": 21 - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Fancy indexing equivalents: take and put" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(10) * 100\n", - "inds = [7, 1, 2, 6]\n", - "arr[inds]" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 22, - "text": [ - "array([700, 100, 200, 600])" - ] - } - ], - "prompt_number": 22 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr.take(inds)\n", - "arr.put(inds, 42)\n", - "arr\n", - "arr.put(inds, [40, 41, 42, 43])\n", - "arr" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 23, - "text": [ - "array([ 0, 41, 42, 300, 400, 500, 43, 40, 800, 900])" - ] - } - ], - "prompt_number": 23 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "inds = [2, 0, 2, 1]\n", - "arr = randn(2, 4)\n", - "arr\n", - "arr.take(inds, axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 24, - "text": [ - "array([[ 0.7526, -0.5752, 0.7526, -0.9173],\n", - " [ 0.5017, 0.8759, 0.5017, -0.4772]])" - ] - } - ], - "prompt_number": 24 - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Broadcasting" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(5)\n", - "arr\n", - "arr * 4" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 25, - "text": [ - "array([ 0, 4, 8, 12, 16])" - ] - } - ], - "prompt_number": 25 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = randn(4, 3)\n", - "arr.mean(0)\n", - "demeaned = arr - arr.mean(0)\n", - "demeaned\n", - "demeaned.mean(0)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 26, - "text": [ - "array([ 0., 0., -0.])" - ] - } - ], - "prompt_number": 26 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr\n", - "row_means = arr.mean(1)\n", - "row_means.reshape((4, 1))\n", - "demeaned = arr - row_means.reshape((4, 1))\n", - "demeaned.mean(1)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 27, - "text": [ - "array([ 0., -0., 0., -0.])" - ] - } - ], - "prompt_number": 27 - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Broadcasting over other axes" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr - arr.mean(1)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "operands could not be broadcast together with shapes (4,3) (4,) ", - "output_type": "pyerr", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0marr\u001b[0m \u001b[1;33m-\u001b[0m \u001b[0marr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmean\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;31mValueError\u001b[0m: operands could not be broadcast together with shapes (4,3) (4,) " - ] - } - ], - "prompt_number": 28 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr - arr.mean(1).reshape((4, 1))" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 29, - "text": [ - "array([[-1.6838, -0.3736, 2.0574],\n", - " [ 1.513 , -0.6511, -0.8619],\n", - " [ 0.4619, 0.3708, -0.8327],\n", - " [ 0.0346, -0.6972, 0.6626]])" - ] - } - ], - "prompt_number": 29 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.zeros((4, 4))\n", - "arr_3d = arr[:, np.newaxis, :]\n", - "arr_3d.shape" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 30, - "text": [ - "(4, 1, 4)" - ] - } - ], - "prompt_number": 30 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr_1d = np.random.normal(size=3)\n", - "arr_1d[:, np.newaxis]\n", - "arr_1d[np.newaxis, :]" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 31, - "text": [ - "array([[ 0.6034, 0.4693, 0.6303]])" - ] - } - ], - "prompt_number": 31 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = randn(3, 4, 5)\n", - "depth_means = arr.mean(2)\n", - "depth_means\n", - "demeaned = arr - depth_means[:, :, np.newaxis]\n", - "demeaned.mean(2)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 32, - "text": [ - "array([[ 0., 0., -0., 0.],\n", - " [ 0., 0., 0., -0.],\n", - " [ 0., -0., -0., -0.]])" - ] - } - ], - "prompt_number": 32 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def demean_axis(arr, axis=0):\n", - " means = arr.mean(axis)\n", - "\n", - " # This generalized things like [:, :, np.newaxis] to N dimensions\n", - " indexer = [slice(None)] * arr.ndim\n", - " indexer[axis] = np.newaxis\n", - " return arr - means[indexer]" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 34 - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Setting array values by broadcasting" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.zeros((4, 3))\n", - "arr[:] = 5\n", - "arr" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 35, - "text": [ - "array([[ 5., 5., 5.],\n", - " [ 5., 5., 5.],\n", - " [ 5., 5., 5.],\n", - " [ 5., 5., 5.]])" - ] - } - ], - "prompt_number": 35 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "col = np.array([1.28, -0.42, 0.44, 1.6])\n", - "arr[:] = col[:, np.newaxis]\n", - "arr\n", - "arr[:2] = [[-1.37], [0.509]]\n", - "arr" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 36, - "text": [ - "array([[-1.37 , -1.37 , -1.37 ],\n", - " [ 0.509, 0.509, 0.509],\n", - " [ 0.44 , 0.44 , 0.44 ],\n", - " [ 1.6 , 1.6 , 1.6 ]])" - ] - } - ], - "prompt_number": 36 - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Advanced ufunc usage" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Ufunc instance methods" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(10)\n", - "np.add.reduce(arr)\n", - "arr.sum()" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 37, - "text": [ - "45" - ] - } - ], - "prompt_number": 37 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "np.random.seed(12346)" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 38 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = randn(5, 5)\n", - "arr[::2].sort(1) # sort a few rows\n", - "arr[:, :-1] < arr[:, 1:]\n", - "np.logical_and.reduce(arr[:, :-1] < arr[:, 1:], axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 39, - "text": [ - "array([ True, False, True, False, True], dtype=bool)" - ] - } - ], - "prompt_number": 39 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(15).reshape((3, 5))\n", - "np.add.accumulate(arr, axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 40, - "text": [ - "array([[ 0, 1, 3, 6, 10],\n", - " [ 5, 11, 18, 26, 35],\n", - " [10, 21, 33, 46, 60]])" - ] - } - ], - "prompt_number": 40 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(3).repeat([1, 2, 2])\n", - "arr\n", - "np.multiply.outer(arr, np.arange(5))" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 41, - "text": [ - "array([[0, 0, 0, 0, 0],\n", - " [0, 1, 2, 3, 4],\n", - " [0, 1, 2, 3, 4],\n", - " [0, 2, 4, 6, 8],\n", - " [0, 2, 4, 6, 8]])" - ] - } - ], - "prompt_number": 41 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "result = np.subtract.outer(randn(3, 4), randn(5))\n", - "result.shape" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 42, - "text": [ - "(3, 4, 5)" - ] - } - ], - "prompt_number": 42 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.arange(10)\n", - "np.add.reduceat(arr, [0, 5, 8])" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 43, - "text": [ - "array([10, 18, 17])" - ] - } - ], - "prompt_number": 43 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = np.multiply.outer(np.arange(4), np.arange(5))\n", - "arr\n", - "np.add.reduceat(arr, [0, 2, 4], axis=1)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 44, - "text": [ - "array([[ 0, 0, 0],\n", - " [ 1, 5, 4],\n", - " [ 2, 10, 8],\n", - " [ 3, 15, 12]])" - ] - } - ], - "prompt_number": 44 - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Custom ufuncs" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def add_elements(x, y):\n", - " return x + y\n", - "add_them = np.frompyfunc(add_elements, 2, 1)\n", - "add_them(np.arange(8), np.arange(8))" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 45, - "text": [ - "array([0, 2, 4, 6, 8, 10, 12, 14], dtype=object)" - ] - } - ], - "prompt_number": 45 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "add_them = np.vectorize(add_elements, otypes=[np.float64])\n", - "add_them(np.arange(8), np.arange(8))" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 46, - "text": [ - "array([ 0., 2., 4., 6., 8., 10., 12., 14.])" - ] - } - ], - "prompt_number": 46 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "arr = randn(10000)\n", - "%timeit add_them(arr, arr)\n", - "%timeit np.add(arr, arr)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "1000 loops, best of 3: 1.7 ms per loop\n", - "100000 loops, best of 3: 4.68 \u00b5s per loop" - ] - }, - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "\n" - ] - } - ], - "prompt_number": 47 - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Structured and record arrays" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "dtype = [('x', np.float64), ('y', np.int32)]\n", - "sarr = np.array([(1.5, 6), (np.pi, -2)], dtype=dtype)\n", - "sarr" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 48, - "text": [ - "array([(1.5, 6), (3.141592653589793, -2)], \n", - " dtype=[('x', '= 250]\n", + "active_titles" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "mean_ratings = mean_ratings.loc[active_titles]\n", + "mean_ratings" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "mean_ratings = mean_ratings.rename(index={\"Seven Samurai (The Magnificent Seven) (Shichinin no samurai) (1954)\":\n", + " \"Seven Samurai (Shichinin no samurai) (1954)\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "top_female_ratings = mean_ratings.sort_values(\"F\", ascending=False)\n", + "top_female_ratings.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "mean_ratings[\"diff\"] = mean_ratings[\"M\"] - mean_ratings[\"F\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_by_diff = mean_ratings.sort_values(\"diff\")\n", + "sorted_by_diff.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_by_diff[::-1].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "rating_std_by_title = data.groupby(\"title\")[\"rating\"].std()\n", + "rating_std_by_title = rating_std_by_title.loc[active_titles]\n", + "rating_std_by_title.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "rating_std_by_title.sort_values(ascending=False)[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "movies[\"genres\"].head()\n", + "movies[\"genres\"].head().str.split(\"|\")\n", + "movies[\"genre\"] = movies.pop(\"genres\").str.split(\"|\")\n", + "movies.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "movies_exploded = movies.explode(\"genre\")\n", + "movies_exploded[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "ratings_with_genre = pd.merge(pd.merge(movies_exploded, ratings), users)\n", + "ratings_with_genre.iloc[0]\n", + "genre_ratings = (ratings_with_genre.groupby([\"genre\", \"age\"])\n", + " [\"rating\"].mean()\n", + " .unstack(\"age\"))\n", + "genre_ratings[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "!head -n 10 datasets/babynames/yob1880.txt" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "names1880 = pd.read_csv(\"datasets/babynames/yob1880.txt\",\n", + " names=[\"name\", \"sex\", \"births\"])\n", + "names1880" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "names1880.groupby(\"sex\")[\"births\"].sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "pieces = []\n", + "for year in range(1880, 2011):\n", + " path = f\"datasets/babynames/yob{year}.txt\"\n", + " frame = pd.read_csv(path, names=[\"name\", \"sex\", \"births\"])\n", + "\n", + " # Add a column for the year\n", + " frame[\"year\"] = year\n", + " pieces.append(frame)\n", + "\n", + "# Concatenate everything into a single DataFrame\n", + "names = pd.concat(pieces, ignore_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "names" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "total_births = names.pivot_table(\"births\", index=\"year\",\n", + " columns=\"sex\", aggfunc=sum)\n", + "total_births.tail()\n", + "total_births.plot(title=\"Total births by sex and year\")" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "def add_prop(group):\n", + " group[\"prop\"] = group[\"births\"] / group[\"births\"].sum()\n", + " return group\n", + "names = names.groupby([\"year\", \"sex\"], group_keys=False).apply(add_prop)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "names" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "names.groupby([\"year\", \"sex\"])[\"prop\"].sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "def get_top1000(group):\n", + " return group.sort_values(\"births\", ascending=False)[:1000]\n", + "grouped = names.groupby([\"year\", \"sex\"])\n", + "top1000 = grouped.apply(get_top1000)\n", + "top1000.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "top1000 = top1000.reset_index(drop=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "top1000.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "boys = top1000[top1000[\"sex\"] == \"M\"]\n", + "girls = top1000[top1000[\"sex\"] == \"F\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "total_births = top1000.pivot_table(\"births\", index=\"year\",\n", + " columns=\"name\",\n", + " aggfunc=sum)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "total_births.info()\n", + "subset = total_births[[\"John\", \"Harry\", \"Mary\", \"Marilyn\"]]\n", + "subset.plot(subplots=True, figsize=(12, 10),\n", + " title=\"Number of births per year\")" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "table = top1000.pivot_table(\"prop\", index=\"year\",\n", + " columns=\"sex\", aggfunc=sum)\n", + "table.plot(title=\"Sum of table1000.prop by year and sex\",\n", + " yticks=np.linspace(0, 1.2, 13))" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "df = boys[boys[\"year\"] == 2010]\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "prop_cumsum = df[\"prop\"].sort_values(ascending=False).cumsum()\n", + "prop_cumsum[:10]\n", + "prop_cumsum.searchsorted(0.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "df = boys[boys.year == 1900]\n", + "in1900 = df.sort_values(\"prop\", ascending=False).prop.cumsum()\n", + "in1900.searchsorted(0.5) + 1" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "def get_quantile_count(group, q=0.5):\n", + " group = group.sort_values(\"prop\", ascending=False)\n", + " return group.prop.cumsum().searchsorted(q) + 1\n", + "\n", + "diversity = top1000.groupby([\"year\", \"sex\"]).apply(get_quantile_count)\n", + "diversity = diversity.unstack()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "fig = plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "diversity.head()\n", + "diversity.plot(title=\"Number of popular names in top 50%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "def get_last_letter(x):\n", + " return x[-1]\n", + "\n", + "last_letters = names[\"name\"].map(get_last_letter)\n", + "last_letters.name = \"last_letter\"\n", + "\n", + "table = names.pivot_table(\"births\", index=last_letters,\n", + " columns=[\"sex\", \"year\"], aggfunc=sum)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "subtable = table.reindex(columns=[1910, 1960, 2010], level=\"year\")\n", + "subtable.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "subtable.sum()\n", + "letter_prop = subtable / subtable.sum()\n", + "letter_prop" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "fig, axes = plt.subplots(2, 1, figsize=(10, 8))\n", + "letter_prop[\"M\"].plot(kind=\"bar\", rot=0, ax=axes[0], title=\"Male\")\n", + "letter_prop[\"F\"].plot(kind=\"bar\", rot=0, ax=axes[1], title=\"Female\",\n", + " legend=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "plt.subplots_adjust(hspace=0.25)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "letter_prop = table / table.sum()\n", + "\n", + "dny_ts = letter_prop.loc[[\"d\", \"n\", \"y\"], \"M\"].T\n", + "dny_ts.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "plt.close(\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "fig = plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [], + "source": [ + "dny_ts.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "all_names = pd.Series(top1000[\"name\"].unique())\n", + "lesley_like = all_names[all_names.str.contains(\"Lesl\")]\n", + "lesley_like" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "filtered = top1000[top1000[\"name\"].isin(lesley_like)]\n", + "filtered.groupby(\"name\")[\"births\"].sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "table = filtered.pivot_table(\"births\", index=\"year\",\n", + " columns=\"sex\", aggfunc=\"sum\")\n", + "table = table.div(table.sum(axis=\"columns\"), axis=\"index\")\n", + "table.tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [], + "source": [ + "fig = plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [], + "source": [ + "table.plot(style={\"M\": \"k-\", \"F\": \"k--\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "db = json.load(open(\"datasets/usda_food/database.json\"))\n", + "len(db)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [], + "source": [ + "db[0].keys()\n", + "db[0][\"nutrients\"][0]\n", + "nutrients = pd.DataFrame(db[0][\"nutrients\"])\n", + "nutrients.head(7)" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "info_keys = [\"description\", \"group\", \"id\", \"manufacturer\"]\n", + "info = pd.DataFrame(db, columns=info_keys)\n", + "info.head()\n", + "info.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [], + "source": [ + "pd.value_counts(info[\"group\"])[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [], + "source": [ + "nutrients = []\n", + "\n", + "for rec in db:\n", + " fnuts = pd.DataFrame(rec[\"nutrients\"])\n", + " fnuts[\"id\"] = rec[\"id\"]\n", + " nutrients.append(fnuts)\n", + "\n", + "nutrients = pd.concat(nutrients, ignore_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [], + "source": [ + "nutrients" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [], + "source": [ + "nutrients.duplicated().sum() # number of duplicates\n", + "nutrients = nutrients.drop_duplicates()" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [], + "source": [ + "col_mapping = {\"description\" : \"food\",\n", + " \"group\" : \"fgroup\"}\n", + "info = info.rename(columns=col_mapping, copy=False)\n", + "info.info()\n", + "col_mapping = {\"description\" : \"nutrient\",\n", + " \"group\" : \"nutgroup\"}\n", + "nutrients = nutrients.rename(columns=col_mapping, copy=False)\n", + "nutrients" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [], + "source": [ + "ndata = pd.merge(nutrients, info, on=\"id\")\n", + "ndata.info()\n", + "ndata.iloc[30000]" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [], + "source": [ + "fig = plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [], + "source": [ + "result = ndata.groupby([\"nutrient\", \"fgroup\"])[\"value\"].quantile(0.5)\n", + "result[\"Zinc, Zn\"].sort_values().plot(kind=\"barh\")" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [], + "source": [ + "by_nutrient = ndata.groupby([\"nutgroup\", \"nutrient\"])\n", + "\n", + "def get_maximum(x):\n", + " return x.loc[x.value.idxmax()]\n", + "\n", + "max_foods = by_nutrient.apply(get_maximum)[[\"value\", \"food\"]]\n", + "\n", + "# make the food a little smaller\n", + "max_foods[\"food\"] = max_foods[\"food\"].str[:50]" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [], + "source": [ + "max_foods.loc[\"Amino Acids\"][\"food\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [], + "source": [ + "fec = pd.read_csv(\"datasets/fec/P00000001-ALL.csv\", low_memory=False)\n", + "fec.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [], + "source": [ + "fec.iloc[123456]" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [], + "source": [ + "unique_cands = fec[\"cand_nm\"].unique()\n", + "unique_cands\n", + "unique_cands[2]" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [], + "source": [ + "parties = {\"Bachmann, Michelle\": \"Republican\",\n", + " \"Cain, Herman\": \"Republican\",\n", + " \"Gingrich, Newt\": \"Republican\",\n", + " \"Huntsman, Jon\": \"Republican\",\n", + " \"Johnson, Gary Earl\": \"Republican\",\n", + " \"McCotter, Thaddeus G\": \"Republican\",\n", + " \"Obama, Barack\": \"Democrat\",\n", + " \"Paul, Ron\": \"Republican\",\n", + " \"Pawlenty, Timothy\": \"Republican\",\n", + " \"Perry, Rick\": \"Republican\",\n", + " \"Roemer, Charles E. 'Buddy' III\": \"Republican\",\n", + " \"Romney, Mitt\": \"Republican\",\n", + " \"Santorum, Rick\": \"Republican\"}" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [], + "source": [ + "fec[\"cand_nm\"][123456:123461]\n", + "fec[\"cand_nm\"][123456:123461].map(parties)\n", + "# Add it as a column\n", + "fec[\"party\"] = fec[\"cand_nm\"].map(parties)\n", + "fec[\"party\"].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [], + "source": [ + "(fec[\"contb_receipt_amt\"] > 0).value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [], + "source": [ + "fec = fec[fec[\"contb_receipt_amt\"] > 0]" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [], + "source": [ + "fec_mrbo = fec[fec[\"cand_nm\"].isin([\"Obama, Barack\", \"Romney, Mitt\"])]" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [], + "source": [ + "fec[\"contbr_occupation\"].value_counts()[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [], + "source": [ + "occ_mapping = {\n", + " \"INFORMATION REQUESTED PER BEST EFFORTS\" : \"NOT PROVIDED\",\n", + " \"INFORMATION REQUESTED\" : \"NOT PROVIDED\",\n", + " \"INFORMATION REQUESTED (BEST EFFORTS)\" : \"NOT PROVIDED\",\n", + " \"C.E.O.\": \"CEO\"\n", + "}\n", + "\n", + "def get_occ(x):\n", + " # If no mapping provided, return x\n", + " return occ_mapping.get(x, x)\n", + "\n", + "fec[\"contbr_occupation\"] = fec[\"contbr_occupation\"].map(get_occ)" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [], + "source": [ + "emp_mapping = {\n", + " \"INFORMATION REQUESTED PER BEST EFFORTS\" : \"NOT PROVIDED\",\n", + " \"INFORMATION REQUESTED\" : \"NOT PROVIDED\",\n", + " \"SELF\" : \"SELF-EMPLOYED\",\n", + " \"SELF EMPLOYED\" : \"SELF-EMPLOYED\",\n", + "}\n", + "\n", + "def get_emp(x):\n", + " # If no mapping provided, return x\n", + " return emp_mapping.get(x, x)\n", + "\n", + "fec[\"contbr_employer\"] = fec[\"contbr_employer\"].map(get_emp)" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [], + "source": [ + "by_occupation = fec.pivot_table(\"contb_receipt_amt\",\n", + " index=\"contbr_occupation\",\n", + " columns=\"party\", aggfunc=\"sum\")\n", + "over_2mm = by_occupation[by_occupation.sum(axis=\"columns\") > 2000000]\n", + "over_2mm" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [], + "source": [ + "over_2mm.plot(kind=\"barh\")" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [], + "source": [ + "def get_top_amounts(group, key, n=5):\n", + " totals = group.groupby(key)[\"contb_receipt_amt\"].sum()\n", + " return totals.nlargest(n)" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [], + "source": [ + "grouped = fec_mrbo.groupby(\"cand_nm\")\n", + "grouped.apply(get_top_amounts, \"contbr_occupation\", n=7)\n", + "grouped.apply(get_top_amounts, \"contbr_employer\", n=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [], + "source": [ + "bins = np.array([0, 1, 10, 100, 1000, 10000,\n", + " 100_000, 1_000_000, 10_000_000])\n", + "labels = pd.cut(fec_mrbo[\"contb_receipt_amt\"], bins)\n", + "labels" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [], + "source": [ + "grouped = fec_mrbo.groupby([\"cand_nm\", labels])\n", + "grouped.size().unstack(level=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [], + "source": [ + "bucket_sums = grouped[\"contb_receipt_amt\"].sum().unstack(level=0)\n", + "normed_sums = bucket_sums.div(bucket_sums.sum(axis=\"columns\"),\n", + " axis=\"index\")\n", + "normed_sums\n", + "normed_sums[:-2].plot(kind=\"barh\")" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": {}, + "outputs": [], + "source": [ + "grouped = fec_mrbo.groupby([\"cand_nm\", \"contbr_st\"])\n", + "totals = grouped[\"contb_receipt_amt\"].sum().unstack(level=0).fillna(0)\n", + "totals = totals[totals.sum(axis=\"columns\") > 100000]\n", + "totals.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "metadata": {}, + "outputs": [], + "source": [ + "percent = totals.div(totals.sum(axis=\"columns\"), axis=\"index\")\n", + "percent.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} \ No newline at end of file diff --git a/ch02/names/NationalReadMe.pdf b/datasets/babynames/NationalReadMe.pdf similarity index 100% rename from ch02/names/NationalReadMe.pdf rename to datasets/babynames/NationalReadMe.pdf diff --git a/ch02/names/yob1880.txt b/datasets/babynames/yob1880.txt similarity index 100% rename from ch02/names/yob1880.txt rename to datasets/babynames/yob1880.txt diff --git a/ch02/names/yob1881.txt b/datasets/babynames/yob1881.txt similarity index 100% rename from ch02/names/yob1881.txt rename to datasets/babynames/yob1881.txt diff --git a/ch02/names/yob1882.txt b/datasets/babynames/yob1882.txt similarity index 100% rename from ch02/names/yob1882.txt rename to datasets/babynames/yob1882.txt diff --git a/ch02/names/yob1883.txt b/datasets/babynames/yob1883.txt similarity index 100% rename from ch02/names/yob1883.txt rename to datasets/babynames/yob1883.txt diff --git a/ch02/names/yob1884.txt b/datasets/babynames/yob1884.txt similarity index 100% rename from ch02/names/yob1884.txt rename to datasets/babynames/yob1884.txt diff --git a/ch02/names/yob1885.txt b/datasets/babynames/yob1885.txt similarity index 100% rename from ch02/names/yob1885.txt rename to datasets/babynames/yob1885.txt diff --git a/ch02/names/yob1886.txt b/datasets/babynames/yob1886.txt similarity index 100% rename from ch02/names/yob1886.txt rename to datasets/babynames/yob1886.txt diff --git a/ch02/names/yob1887.txt b/datasets/babynames/yob1887.txt similarity index 100% rename from ch02/names/yob1887.txt rename to datasets/babynames/yob1887.txt diff --git a/ch02/names/yob1888.txt b/datasets/babynames/yob1888.txt similarity index 100% rename from ch02/names/yob1888.txt rename to datasets/babynames/yob1888.txt diff --git a/ch02/names/yob1889.txt b/datasets/babynames/yob1889.txt similarity index 100% rename from ch02/names/yob1889.txt rename to datasets/babynames/yob1889.txt diff --git a/ch02/names/yob1890.txt b/datasets/babynames/yob1890.txt similarity index 100% rename from ch02/names/yob1890.txt rename to datasets/babynames/yob1890.txt diff --git a/ch02/names/yob1891.txt b/datasets/babynames/yob1891.txt similarity index 100% rename from ch02/names/yob1891.txt rename to datasets/babynames/yob1891.txt diff --git a/ch02/names/yob1892.txt b/datasets/babynames/yob1892.txt similarity index 100% rename from ch02/names/yob1892.txt rename to datasets/babynames/yob1892.txt diff --git a/ch02/names/yob1893.txt b/datasets/babynames/yob1893.txt similarity index 100% rename from ch02/names/yob1893.txt rename to datasets/babynames/yob1893.txt diff --git a/ch02/names/yob1894.txt b/datasets/babynames/yob1894.txt similarity index 100% rename from ch02/names/yob1894.txt rename to datasets/babynames/yob1894.txt diff --git a/ch02/names/yob1895.txt b/datasets/babynames/yob1895.txt similarity index 100% rename from ch02/names/yob1895.txt rename to datasets/babynames/yob1895.txt diff --git a/ch02/names/yob1896.txt b/datasets/babynames/yob1896.txt similarity index 100% rename from ch02/names/yob1896.txt rename to datasets/babynames/yob1896.txt diff --git a/ch02/names/yob1897.txt b/datasets/babynames/yob1897.txt similarity index 100% rename from ch02/names/yob1897.txt rename to datasets/babynames/yob1897.txt diff --git a/ch02/names/yob1898.txt b/datasets/babynames/yob1898.txt similarity index 100% rename from ch02/names/yob1898.txt rename to datasets/babynames/yob1898.txt diff --git a/ch02/names/yob1899.txt b/datasets/babynames/yob1899.txt similarity index 100% rename from ch02/names/yob1899.txt rename to datasets/babynames/yob1899.txt diff --git a/ch02/names/yob1900.txt b/datasets/babynames/yob1900.txt similarity index 100% rename from ch02/names/yob1900.txt rename to datasets/babynames/yob1900.txt diff --git a/ch02/names/yob1901.txt b/datasets/babynames/yob1901.txt similarity index 100% rename from ch02/names/yob1901.txt rename to datasets/babynames/yob1901.txt diff --git a/ch02/names/yob1902.txt b/datasets/babynames/yob1902.txt similarity index 100% rename from ch02/names/yob1902.txt rename to datasets/babynames/yob1902.txt diff --git a/ch02/names/yob1903.txt b/datasets/babynames/yob1903.txt similarity index 100% rename from ch02/names/yob1903.txt rename to datasets/babynames/yob1903.txt diff --git a/ch02/names/yob1904.txt b/datasets/babynames/yob1904.txt similarity index 100% rename from ch02/names/yob1904.txt rename to datasets/babynames/yob1904.txt diff --git a/ch02/names/yob1905.txt b/datasets/babynames/yob1905.txt similarity index 100% rename from ch02/names/yob1905.txt rename to datasets/babynames/yob1905.txt diff --git a/ch02/names/yob1906.txt b/datasets/babynames/yob1906.txt similarity index 100% rename from ch02/names/yob1906.txt rename to datasets/babynames/yob1906.txt diff --git a/ch02/names/yob1907.txt b/datasets/babynames/yob1907.txt similarity index 100% rename from ch02/names/yob1907.txt rename to datasets/babynames/yob1907.txt diff --git a/ch02/names/yob1908.txt b/datasets/babynames/yob1908.txt similarity index 100% rename from ch02/names/yob1908.txt rename to datasets/babynames/yob1908.txt diff --git a/ch02/names/yob1909.txt b/datasets/babynames/yob1909.txt similarity index 100% rename from ch02/names/yob1909.txt rename to datasets/babynames/yob1909.txt diff --git a/ch02/names/yob1910.txt b/datasets/babynames/yob1910.txt similarity index 100% rename from ch02/names/yob1910.txt rename to datasets/babynames/yob1910.txt diff --git a/ch02/names/yob1911.txt b/datasets/babynames/yob1911.txt similarity index 100% rename from ch02/names/yob1911.txt rename to datasets/babynames/yob1911.txt diff --git a/ch02/names/yob1912.txt b/datasets/babynames/yob1912.txt similarity index 100% rename from ch02/names/yob1912.txt rename to datasets/babynames/yob1912.txt diff --git a/ch02/names/yob1913.txt b/datasets/babynames/yob1913.txt similarity index 100% rename from ch02/names/yob1913.txt rename to datasets/babynames/yob1913.txt diff --git a/ch02/names/yob1914.txt b/datasets/babynames/yob1914.txt similarity index 100% rename from ch02/names/yob1914.txt rename to datasets/babynames/yob1914.txt diff --git a/ch02/names/yob1915.txt b/datasets/babynames/yob1915.txt similarity index 100% rename from ch02/names/yob1915.txt rename to datasets/babynames/yob1915.txt diff --git a/ch02/names/yob1916.txt b/datasets/babynames/yob1916.txt similarity index 100% rename from ch02/names/yob1916.txt rename to datasets/babynames/yob1916.txt diff --git a/ch02/names/yob1917.txt b/datasets/babynames/yob1917.txt similarity index 100% rename from ch02/names/yob1917.txt rename to datasets/babynames/yob1917.txt diff --git a/ch02/names/yob1918.txt b/datasets/babynames/yob1918.txt similarity index 100% rename from ch02/names/yob1918.txt rename to datasets/babynames/yob1918.txt diff --git a/ch02/names/yob1919.txt b/datasets/babynames/yob1919.txt similarity index 100% rename from ch02/names/yob1919.txt rename to datasets/babynames/yob1919.txt diff --git a/ch02/names/yob1920.txt b/datasets/babynames/yob1920.txt similarity index 100% rename from ch02/names/yob1920.txt rename to datasets/babynames/yob1920.txt diff --git a/ch02/names/yob1921.txt b/datasets/babynames/yob1921.txt similarity index 100% rename from ch02/names/yob1921.txt rename to datasets/babynames/yob1921.txt diff --git a/ch02/names/yob1922.txt b/datasets/babynames/yob1922.txt similarity index 100% rename from ch02/names/yob1922.txt rename to datasets/babynames/yob1922.txt diff --git a/ch02/names/yob1923.txt b/datasets/babynames/yob1923.txt similarity index 100% rename from ch02/names/yob1923.txt rename to datasets/babynames/yob1923.txt diff --git a/ch02/names/yob1924.txt b/datasets/babynames/yob1924.txt similarity index 100% rename from ch02/names/yob1924.txt rename to datasets/babynames/yob1924.txt diff --git a/ch02/names/yob1925.txt b/datasets/babynames/yob1925.txt similarity index 100% rename from ch02/names/yob1925.txt rename to datasets/babynames/yob1925.txt diff --git a/ch02/names/yob1926.txt b/datasets/babynames/yob1926.txt similarity index 100% rename from ch02/names/yob1926.txt rename to datasets/babynames/yob1926.txt diff --git a/ch02/names/yob1927.txt b/datasets/babynames/yob1927.txt similarity index 100% rename from ch02/names/yob1927.txt rename to datasets/babynames/yob1927.txt diff --git a/ch02/names/yob1928.txt b/datasets/babynames/yob1928.txt similarity index 100% rename from ch02/names/yob1928.txt rename to datasets/babynames/yob1928.txt diff --git a/ch02/names/yob1929.txt b/datasets/babynames/yob1929.txt similarity index 100% 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diff --git a/ch02/names/yob1971.txt b/datasets/babynames/yob1971.txt similarity index 100% rename from ch02/names/yob1971.txt rename to datasets/babynames/yob1971.txt diff --git a/ch02/names/yob1972.txt b/datasets/babynames/yob1972.txt similarity index 100% rename from ch02/names/yob1972.txt rename to datasets/babynames/yob1972.txt diff --git a/ch02/names/yob1973.txt b/datasets/babynames/yob1973.txt similarity index 100% rename from ch02/names/yob1973.txt rename to datasets/babynames/yob1973.txt diff --git a/ch02/names/yob1974.txt b/datasets/babynames/yob1974.txt similarity index 100% rename from ch02/names/yob1974.txt rename to datasets/babynames/yob1974.txt diff --git a/ch02/names/yob1975.txt b/datasets/babynames/yob1975.txt similarity index 100% rename from ch02/names/yob1975.txt rename to datasets/babynames/yob1975.txt diff --git a/ch02/names/yob1976.txt b/datasets/babynames/yob1976.txt similarity index 100% rename from ch02/names/yob1976.txt rename to 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to datasets/babynames/yob1982.txt diff --git a/ch02/names/yob1983.txt b/datasets/babynames/yob1983.txt similarity index 100% rename from ch02/names/yob1983.txt rename to datasets/babynames/yob1983.txt diff --git a/ch02/names/yob1984.txt b/datasets/babynames/yob1984.txt similarity index 100% rename from ch02/names/yob1984.txt rename to datasets/babynames/yob1984.txt diff --git a/ch02/names/yob1985.txt b/datasets/babynames/yob1985.txt similarity index 100% rename from ch02/names/yob1985.txt rename to datasets/babynames/yob1985.txt diff --git a/ch02/names/yob1986.txt b/datasets/babynames/yob1986.txt similarity index 100% rename from ch02/names/yob1986.txt rename to datasets/babynames/yob1986.txt diff --git a/ch02/names/yob1987.txt b/datasets/babynames/yob1987.txt similarity index 100% rename from ch02/names/yob1987.txt rename to datasets/babynames/yob1987.txt diff --git a/ch02/names/yob1988.txt b/datasets/babynames/yob1988.txt similarity index 100% rename from ch02/names/yob1988.txt 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--- a/ch02/usagov_bitly_data2012-03-16-1331923249.txt +++ b/datasets/bitly_usagov/example.txt @@ -493,7 +493,7 @@ { "a": "Mozilla\/5.0 (iPad; CPU OS 5_1 like Mac OS X) AppleWebKit\/534.46 (KHTML, like Gecko) Version\/5.1 Mobile\/9B176 Safari\/7534.48.3", "c": "US", "nk": 0, "tz": "America\/Chicago", "gr": "TX", "g": "vNJS4H", "h": "u0uD9q", "l": "o_4us71ccioa", "al": "en-us", "hh": "1.usa.gov", "r": "direct", "u": "https:\/\/www.nysdot.gov\/rexdesign\/design\/community.gif", "t": 1331923669, "hc": 1319563556, "cy": "Cleveland", "ll": [ 30.365101, -95.067398 ] } { "a": "Mozilla\/5.0 (Windows NT 6.1; WOW64; rv:10.0.2) Gecko\/20100101 Firefox\/10.0.2", "c": "US", "nk": 1, "tz": "America\/New_York", "gr": "PA", "g": "vNJS4H", "h": "u0uD9q", "l": "o_4us71ccioa", "al": "en-us,en;q=0.5", "hh": "1.usa.gov", "r": "direct", "u": "https:\/\/www.nysdot.gov\/rexdesign\/design\/community.gif", "t": 1331923670, "hc": 1319563556, "cy": "Allentown", "ll": [ 40.567799, -75.482803 ] } { "a": "Mozilla\/5.0 (iPad; U; CPU OS 4_3_3 like Mac OS X; ar) AppleWebKit\/533.17.9 (KHTML, like Gecko) Mobile\/8J2 Twitter for iPad", "c": null, "nk": 0, "tz": "", "g": "wUsrEq", "h": "wUsrEq", "l": "bitly", "al": "ar", "hh": "1.usa.gov", "r": "https:\/\/twitter.com\/nasa\/status\/180682946339016704", "u": "http:\/\/www.nasa.gov\/topics\/earth\/features\/seac4rs.html", "t": 1331923672, "hc": 1331670810 } -{ "a": "GoogleProducer", "c": "US", "nk": 0, "tz": "America\/Los_Angeles", "gr": "CA", "g": "A9mAnL", "h": "AgdaTg", "l": "usmc", "hh": "1.usa.gov", "r": "direct", "u": "http:\/\/www.marines.mil\/unit\/2ndmardiv\/Pages\/Marine’sfatherplanstrekacrosscountrytoraisemoneyformilitaryfoundations.aspx#.T2DkVZhM_7I", "t": 1331923673, "hc": 1331751509, "cy": "Mountain View", "ll": [ 37.419201, -122.057404 ] } +{ "a": "GoogleProducer", "c": "US", "nk": 0, "tz": "America\/Los_Angeles", "gr": "CA", "g": "A9mAnL", "h": "AgdaTg", "l": "usmc", "hh": "1.usa.gov", "r": "direct", "u": "http:\/\/www.marines.mil\/unit\/2ndmardiv\/Pages\/Marine’sfatherplanstrekacrosscountrytoraisemoneyformilitaryfoundations.aspx#.T2DkVZhM_7I", "t": 1331923673, "hc": 1331751509, "cy": "Mountain View", "ll": [ 37.419201, -122.057404 ] } { "a": "Mozilla\/5.0 (Windows NT 6.1; rv:10.0.2) Gecko\/20100101 Firefox\/10.0.2", "c": "TR", "nk": 0, "tz": "Asia\/Istanbul", "gr": "07", "g": "xVZg4P", "h": "wqUkTo", "l": "nasatwitter", "al": "en-us,en;q=0.5", "hh": "go.nasa.gov", "r": "http:\/\/www.facebook.com\/l.php?u=http%3A%2F%2Fgo.nasa.gov%2FwqUkTo&h=yAQE-p9hsAQFyNa3DggWZsfjtqjN4-8DwoRHGbR2t2oDuGQ", "u": "http:\/\/www.nasa.gov\/multimedia\/imagegallery\/image_feature_2199.html", "t": 1331923677, "hc": 1331908247, "cy": "Antalya", "ll": [ 36.912498, 30.689699 ] } { "a": "Mozilla\/5.0 (Windows NT 6.0) AppleWebKit\/535.11 (KHTML, like Gecko) Chrome\/17.0.963.79 Safari\/535.11", "c": "GB", "nk": 0, "tz": "Europe\/London", "gr": "H9", "g": "wcndER", "h": "zkpJBR", "l": "bnjacobs", "al": "en-GB,en-US;q=0.8,en;q=0.6", "hh": "1.usa.gov", "r": "http:\/\/www.facebook.com\/l.php?u=http%3A%2F%2F1.usa.gov%2FzkpJBR&h=FAQHpr2puAQEWwTh_3LA_-OrTe-SnnGMzLKQbg7XH8GyS5A", "u": "http:\/\/www.nasa.gov\/mission_pages\/nustar\/main\/index.html", "t": 1331923676, "hc": 1331922854, "cy": "London", "ll": [ 51.500198, -0.126200 ] } { "a": "Opera\/9.80 (Windows NT 5.1; U; ru) Presto\/2.9.168 Version\/11.51", "c": "RU", "nk": 0, "tz": "Asia\/Novosibirsk", "gr": "53", "g": "xVZg4P", "h": "wqUkTo", "l": "nasatwitter", "al": "ru-RU,ru;q=0.9,en;q=0.8", "hh": "go.nasa.gov", "r": "direct", "u": "http:\/\/www.nasa.gov\/multimedia\/imagegallery\/image_feature_2199.html", "t": 1331923677, "hc": 1331908247, "cy": "Novosibirsk", "ll": [ 55.041100, 82.934402 ] } diff --git a/ch09/P00000001-ALL.csv b/datasets/fec/P00000001-ALL.csv similarity index 100% rename from ch09/P00000001-ALL.csv rename to datasets/fec/P00000001-ALL.csv diff --git a/datasets/fec/fec.parquet b/datasets/fec/fec.parquet new file mode 100644 index 000000000..cc57ffbba Binary files /dev/null and b/datasets/fec/fec.parquet differ diff --git a/ch08/Haiti.csv b/datasets/haiti/Haiti.csv similarity index 100% rename from ch08/Haiti.csv rename to datasets/haiti/Haiti.csv diff --git a/ch08/PortAuPrince_Roads/PortAuPrince_Roads.dbf b/datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads.dbf similarity index 100% rename from ch08/PortAuPrince_Roads/PortAuPrince_Roads.dbf rename to datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads.dbf diff --git a/ch08/PortAuPrince_Roads/PortAuPrince_Roads.prj b/datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads.prj similarity index 100% rename from ch08/PortAuPrince_Roads/PortAuPrince_Roads.prj rename to datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads.prj diff --git a/ch08/PortAuPrince_Roads/PortAuPrince_Roads.sbn b/datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads.sbn similarity index 100% rename from ch08/PortAuPrince_Roads/PortAuPrince_Roads.sbn rename to datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads.sbn diff --git a/ch08/PortAuPrince_Roads/PortAuPrince_Roads.sbx b/datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads.sbx similarity index 100% rename from ch08/PortAuPrince_Roads/PortAuPrince_Roads.sbx rename to datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads.sbx diff --git a/ch08/PortAuPrince_Roads/PortAuPrince_Roads.shp b/datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads.shp similarity index 100% rename from ch08/PortAuPrince_Roads/PortAuPrince_Roads.shp rename to datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads.shp diff --git a/ch08/PortAuPrince_Roads/PortAuPrince_Roads.shx b/datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads.shx similarity index 100% rename from ch08/PortAuPrince_Roads/PortAuPrince_Roads.shx rename to datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads.shx diff --git a/ch08/PortAuPrince_Roads/PortAuPrince_Roads_README.txt b/datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads_README.txt similarity index 100% rename from ch08/PortAuPrince_Roads/PortAuPrince_Roads_README.txt rename to datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads_README.txt diff --git a/ch08/PortAuPrince_Roads/PortAuPrince_Roads_sample.jpg b/datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads_sample.jpg similarity index 100% rename from ch08/PortAuPrince_Roads/PortAuPrince_Roads_sample.jpg rename to datasets/haiti/PortAuPrince_Roads/PortAuPrince_Roads_sample.jpg diff --git a/ch02/movielens/README b/datasets/movielens/README similarity index 100% rename from ch02/movielens/README rename to datasets/movielens/README diff --git a/ch02/movielens/movies.dat b/datasets/movielens/movies.dat similarity index 98% rename from ch02/movielens/movies.dat rename to datasets/movielens/movies.dat index 9a7354357..1d28e348e 100644 --- a/ch02/movielens/movies.dat +++ b/datasets/movielens/movies.dat @@ -70,7 +70,7 @@ 70::From Dusk Till Dawn (1996)::Action|Comedy|Crime|Horror|Thriller 71::Fair Game (1995)::Action 72::Kicking and Screaming (1995)::Comedy|Drama -73::Mis�rables, Les (1995)::Drama|Musical +73::Misérables, Les (1995)::Drama|Musical 74::Bed of Roses (1996)::Drama|Romance 75::Big Bully (1996)::Comedy|Drama 76::Screamers (1995)::Sci-Fi|Thriller @@ -564,7 +564,7 @@ 567::Kika (1993)::Drama 568::Bhaji on the Beach (1993)::Comedy|Drama 569::Little Big League (1994)::Children's|Comedy -570::Slingshot, The (K�disbellan ) (1993)::Comedy|Drama +570::Slingshot, The (Kådisbellan ) (1993)::Comedy|Drama 571::Wedding Gift, The (1994)::Drama 572::Foreign Student (1994)::Drama 573::Ciao, Professore! (Io speriamo che me la cavo ) (1993)::Drama @@ -576,7 +576,7 @@ 579::Scorta, La (1993)::Thriller 580::Princess Caraboo (1994)::Drama 581::Celluloid Closet, The (1995)::Documentary -582::Metisse (Caf� au Lait) (1993)::Comedy +582::Metisse (Café au Lait) (1993)::Comedy 583::Dear Diary (Caro Diario) (1994)::Comedy|Drama 584::I Don't Want to Talk About It (De eso no se habla) (1993)::Drama 585::Brady Bunch Movie, The (1995)::Comedy @@ -641,7 +641,7 @@ 645::Nelly & Monsieur Arnaud (1995)::Drama 647::Courage Under Fire (1996)::Drama|War 648::Mission: Impossible (1996)::Action|Adventure|Mystery -649::Cold Fever (� k�ldum klaka) (1994)::Comedy|Drama +649::Cold Fever (Á köldum klaka) (1994)::Comedy|Drama 650::Moll Flanders (1996)::Drama 651::Superweib, Das (1996)::Comedy 652::301, 302 (1995)::Mystery @@ -1099,7 +1099,7 @@ 1114::Funeral, The (1996)::Drama 1115::Sleepover (1995)::Comedy|Drama 1116::Single Girl, A (La Fille Seule) (1995)::Drama -1117::Eighth Day, The (Le Huiti�me jour ) (1996)::Drama +1117::Eighth Day, The (Le Huitième jour ) (1996)::Drama 1118::Tashunga (1995)::Adventure|Western 1119::Drunks (1997)::Drama 1120::People vs. Larry Flynt, The (1996)::Drama @@ -1131,7 +1131,7 @@ 1146::Curtis's Charm (1995)::Comedy|Drama 1147::When We Were Kings (1996)::Documentary 1148::Wrong Trousers, The (1993)::Animation|Comedy -1149::JLG/JLG - autoportrait de d�cembre (1994)::Documentary|Drama +1149::JLG/JLG - autoportrait de décembre (1994)::Documentary|Drama 1150::Return of Martin Guerre, The (Retour de Martin Guerre, Le) (1982)::Drama 1151::Faust (1994)::Animation|Comedy|Thriller 1152::He Walked by Night (1948)::Crime|Film-Noir|Thriller @@ -1158,7 +1158,7 @@ 1173::Cook the Thief His Wife & Her Lover, The (1989)::Drama 1174::Grosse Fatigue (1994)::Comedy 1175::Delicatessen (1991)::Comedy|Sci-Fi -1176::Double Life of Veronique, The (La Double Vie de V�ronique) (1991)::Drama +1176::Double Life of Veronique, The (La Double Vie de Véronique) (1991)::Drama 1177::Enchanted April (1991)::Drama 1178::Paths of Glory (1957)::Drama|War 1179::Grifters, The (1990)::Crime|Drama|Film-Noir @@ -1191,7 +1191,7 @@ 1208::Apocalypse Now (1979)::Drama|War 1209::Once Upon a Time in the West (1969)::Western 1210::Star Wars: Episode VI - Return of the Jedi (1983)::Action|Adventure|Romance|Sci-Fi|War -1211::Wings of Desire (Der Himmel �ber Berlin) (1987)::Comedy|Drama|Romance +1211::Wings of Desire (Der Himmel über Berlin) (1987)::Comedy|Drama|Romance 1212::Third Man, The (1949)::Mystery|Thriller 1213::GoodFellas (1990)::Crime|Drama 1214::Alien (1979)::Action|Horror|Sci-Fi|Thriller @@ -1298,7 +1298,7 @@ 1317::I'm Not Rappaport (1996)::Comedy 1318::Blue Juice (1995)::Comedy|Drama 1319::Kids of Survival (1993)::Documentary -1320::Alien� (1992)::Action|Horror|Sci-Fi|Thriller +1320::Alien³ (1992)::Action|Horror|Sci-Fi|Thriller 1321::American Werewolf in London, An (1981)::Horror 1322::Amityville 1992: It's About Time (1992)::Horror 1323::Amityville 3-D (1983)::Horror @@ -1341,7 +1341,7 @@ 1361::Paradise Lost: The Child Murders at Robin Hood Hills (1996)::Documentary 1362::Garden of Finzi-Contini, The (Giardino dei Finzi-Contini, Il) (1970)::Drama 1363::Preacher's Wife, The (1996)::Drama -1364::Zero Kelvin (Kj�rlighetens kj�tere) (1995)::Action +1364::Zero Kelvin (Kjærlighetens kjøtere) (1995)::Action 1365::Ridicule (1996)::Drama 1366::Crucible, The (1996)::Drama 1367::101 Dalmatians (1996)::Children's|Comedy @@ -1381,7 +1381,7 @@ 1401::Ghosts of Mississippi (1996)::Drama 1404::Night Falls on Manhattan (1997)::Crime|Drama 1405::Beavis and Butt-head Do America (1996)::Animation|Comedy -1406::C�r�monie, La (1995)::Drama +1406::Cérémonie, La (1995)::Drama 1407::Scream (1996)::Horror|Thriller 1408::Last of the Mohicans, The (1992)::Action|Romance|War 1409::Michael (1996)::Comedy|Romance @@ -1530,7 +1530,7 @@ 1569::My Best Friend's Wedding (1997)::Comedy|Romance 1570::Tetsuo II: Body Hammer (1992)::Sci-Fi 1571::When the Cats Away (Chacun cherche son chat) (1996)::Comedy|Romance -1572::Contempt (Le M�pris) (1963)::Drama +1572::Contempt (Le Mépris) (1963)::Drama 1573::Face/Off (1997)::Action|Sci-Fi|Thriller 1574::Fall (1997)::Romance 1575::Gabbeh (1996)::Drama @@ -1616,7 +1616,7 @@ 1661::Switchback (1997)::Thriller 1662::Gang Related (1997)::Crime 1663::Stripes (1981)::Comedy -1664::N�nette et Boni (1996)::Drama +1664::Nénette et Boni (1996)::Drama 1665::Bean (1997)::Comedy 1666::Hugo Pool (1997)::Romance 1667::Mad City (1997)::Action|Drama @@ -1688,7 +1688,7 @@ 1738::Vermin (1998)::Comedy 1739::3 Ninjas: High Noon On Mega Mountain (1998)::Action|Children's 1740::Men of Means (1998)::Action|Drama -1741::Midaq Alley (Callej�n de los milagros, El) (1995)::Drama +1741::Midaq Alley (Callejón de los milagros, El) (1995)::Drama 1742::Caught Up (1998)::Crime 1743::Arguing the World (1996)::Documentary 1744::Firestorm (1998)::Action|Adventure|Thriller @@ -1733,7 +1733,7 @@ 1792::U.S. Marshalls (1998)::Action|Thriller 1793::Welcome to Woop-Woop (1997)::Comedy 1794::Love and Death on Long Island (1997)::Comedy|Drama -1795::Callej�n de los milagros, El (1995)::Drama +1795::Callejón de los milagros, El (1995)::Drama 1796::In God's Hands (1998)::Action|Drama 1797::Everest (1998)::Documentary 1798::Hush (1998)::Thriller @@ -1802,7 +1802,7 @@ 1870::Dancer, Texas Pop. 81 (1998)::Comedy|Drama 1871::Friend of the Deceased, A (1997)::Comedy|Drama 1872::Go Now (1995)::Drama -1873::Mis�rables, Les (1998)::Drama +1873::Misérables, Les (1998)::Drama 1874::Still Breathing (1997)::Comedy|Romance 1875::Clockwatchers (1997)::Comedy 1876::Deep Impact (1998)::Action|Drama|Sci-Fi|Thriller @@ -1862,7 +1862,7 @@ 1930::Cavalcade (1933)::Drama 1931::Mutiny on the Bounty (1935)::Adventure 1932::Great Ziegfeld, The (1936)::Musical -1933::Life of �mile Zola, The (1937)::Drama +1933::Life of Émile Zola, The (1937)::Drama 1934::You Can't Take It With You (1938)::Comedy 1935::How Green Was My Valley (1941)::Drama 1936::Mrs. Miniver (1942)::Drama|War @@ -1992,7 +1992,7 @@ 2060::BASEketball (1998)::Comedy 2061::Full Tilt Boogie (1997)::Documentary 2062::Governess, The (1998)::Drama|Romance -2063::Seventh Heaven (Le Septi�me ciel) (1997)::Drama|Romance +2063::Seventh Heaven (Le Septième ciel) (1997)::Drama|Romance 2064::Roger & Me (1989)::Comedy|Documentary 2065::Purple Rose of Cairo, The (1985)::Comedy|Drama|Romance 2066::Out of the Past (1947)::Film-Noir @@ -2060,7 +2060,7 @@ 2128::Safe Men (1998)::Comedy 2129::Saltmen of Tibet, The (1997)::Documentary 2130::Atlantic City (1980)::Crime|Drama|Romance -2131::Autumn Sonata (H�stsonaten ) (1978)::Drama +2131::Autumn Sonata (Höstsonaten ) (1978)::Drama 2132::Who's Afraid of Virginia Woolf? (1966)::Drama 2133::Adventures in Babysitting (1987)::Adventure|Comedy 2134::Weird Science (1985)::Comedy @@ -2104,7 +2104,7 @@ 2172::Strike! (a.k.a. All I Wanna Do, The Hairy Bird) (1998)::Comedy 2173::Navigator: A Mediaeval Odyssey, The (1988)::Adventure|Fantasy|Sci-Fi 2174::Beetlejuice (1988)::Comedy|Fantasy -2175::D�j� Vu (1997)::Drama|Romance +2175::Déjà Vu (1997)::Drama|Romance 2176::Rope (1948)::Thriller 2177::Family Plot (1976)::Comedy|Thriller 2178::Frenzy (1972)::Thriller @@ -2253,7 +2253,7 @@ 2321::Pleasantville (1998)::Comedy 2322::Soldier (1998)::Action|Adventure|Sci-Fi|Thriller|War 2323::Cruise, The (1998)::Documentary -2324::Life Is Beautiful (La Vita � bella) (1997)::Comedy|Drama +2324::Life Is Beautiful (La Vita è bella) (1997)::Comedy|Drama 2325::Orgazmo (1997)::Comedy 2326::Shattered Image (1998)::Drama|Thriller 2327::Tales from the Darkside: The Movie (1990)::Horror @@ -2409,10 +2409,10 @@ 2477::Firewalker (1986)::Adventure 2478::Three Amigos! (1986)::Comedy|Western 2479::Gloria (1999)::Drama|Thriller -2480::Dry Cleaning (Nettoyage � sec) (1997)::Drama +2480::Dry Cleaning (Nettoyage à sec) (1997)::Drama 2481::My Name Is Joe (1998)::Drama|Romance 2482::Still Crazy (1998)::Comedy|Romance -2483::Day of the Beast, The (El D�a de la bestia) (1995)::Comedy|Horror|Thriller +2483::Day of the Beast, The (El Día de la bestia) (1995)::Comedy|Horror|Thriller 2484::Tinseltown (1998)::Comedy 2485::She's All That (1999)::Comedy|Romance 2486::24-hour Woman (1998)::Drama @@ -2424,7 +2424,7 @@ 2492::20 Dates (1998)::Comedy 2493::Harmonists, The (1997)::Drama 2494::Last Days, The (1998)::Documentary -2495::Fantastic Planet, The (La Plan�te sauvage) (1973)::Animation|Sci-Fi +2495::Fantastic Planet, The (La Planète sauvage) (1973)::Animation|Sci-Fi 2496::Blast from the Past (1999)::Comedy|Romance 2497::Message in a Bottle (1999)::Romance 2498::My Favorite Martian (1999)::Comedy|Sci-Fi @@ -2473,7 +2473,7 @@ 2541::Cruel Intentions (1999)::Drama 2542::Lock, Stock & Two Smoking Barrels (1998)::Comedy|Crime|Thriller 2543::Six Ways to Sunday (1997)::Comedy -2544::School of Flesh, The (L' �cole de la chair) (1998)::Drama +2544::School of Flesh, The (L' École de la chair) (1998)::Drama 2545::Relax... It's Just Sex (1998)::Comedy 2546::Deep End of the Ocean, The (1999)::Drama 2547::Harvest (1998)::Drama @@ -2504,7 +2504,7 @@ 2572::10 Things I Hate About You (1999)::Comedy|Romance 2573::Tango (1998)::Drama 2574::Out-of-Towners, The (1999)::Comedy -2575::Dreamlife of Angels, The (La Vie r�v�e des anges) (1998)::Drama +2575::Dreamlife of Angels, The (La Vie rêvée des anges) (1998)::Drama 2576::Love, etc. (1996)::Drama 2577::Metroland (1997)::Comedy|Drama 2578::Sticky Fingers of Time, The (1997)::Sci-Fi @@ -2514,13 +2514,13 @@ 2582::Twin Dragons (Shuang long hui) (1992)::Action|Comedy 2583::Cookie's Fortune (1999)::Mystery 2584::Foolish (1999)::Comedy -2585::Lovers of the Arctic Circle, The (Los Amantes del C�rculo Polar) (1998)::Drama|Romance +2585::Lovers of the Arctic Circle, The (Los Amantes del Círculo Polar) (1998)::Drama|Romance 2586::Goodbye, Lover (1999)::Comedy|Crime|Thriller 2587::Life (1999)::Comedy 2588::Clubland (1998)::Drama 2589::Friends & Lovers (1999)::Comedy|Drama|Romance 2590::Hideous Kinky (1998)::Drama -2591::Jeanne and the Perfect Guy (Jeanne et le gar�on formidable) (1998)::Comedy|Romance +2591::Jeanne and the Perfect Guy (Jeanne et le garçon formidable) (1998)::Comedy|Romance 2592::Joyriders, The (1999)::Drama 2593::Monster, The (Il Mostro) (1994)::Comedy 2594::Open Your Eyes (Abre los ojos) (1997)::Drama|Romance|Sci-Fi @@ -2532,7 +2532,7 @@ 2600::eXistenZ (1999)::Action|Sci-Fi|Thriller 2601::Little Bit of Soul, A (1998)::Comedy 2602::Mighty Peking Man (Hsing hsing wang) (1977)::Adventure|Sci-Fi -2603::N� (1998)::Drama +2603::Nô (1998)::Drama 2604::Let it Come Down: The Life of Paul Bowles (1998)::Documentary 2605::Entrapment (1999)::Crime|Thriller 2606::Idle Hands (1999)::Comedy|Horror @@ -2625,7 +2625,7 @@ 2693::Trekkies (1997)::Documentary 2694::Big Daddy (1999)::Comedy 2695::Boys, The (1997)::Drama -2696::Dinner Game, The (Le D�ner de cons) (1998)::Comedy +2696::Dinner Game, The (Le Dîner de cons) (1998)::Comedy 2697::My Son the Fanatic (1998)::Comedy|Drama|Romance 2698::Zone 39 (1997)::Sci-Fi 2699::Arachnophobia (1990)::Action|Comedy|Sci-Fi|Thriller @@ -2634,7 +2634,7 @@ 2702::Summer of Sam (1999)::Drama 2703::Broken Vessels (1998)::Drama 2704::Lovers on the Bridge, The (Les Amants du Pont-Neuf) (1991)::Drama|Romance -2705::Late August, Early September (Fin ao�t, d�but septembre) (1998)::Drama +2705::Late August, Early September (Fin août, début septembre) (1998)::Drama 2706::American Pie (1999)::Comedy 2707::Arlington Road (1999)::Thriller 2708::Autumn Tale, An (Conte d'automne) (1998)::Romance @@ -2671,7 +2671,7 @@ 2739::Color Purple, The (1985)::Drama 2740::Kindred, The (1986)::Horror 2741::No Mercy (1986)::Action|Thriller -2742::M�nage (Tenue de soir�e) (1986)::Comedy|Drama +2742::Ménage (Tenue de soirée) (1986)::Comedy|Drama 2743::Native Son (1986)::Drama 2744::Otello (1986)::Drama 2745::Mission, The (1986)::Drama @@ -2689,7 +2689,7 @@ 2757::Frances (1982)::Drama 2758::Plenty (1985)::Drama 2759::Dick (1999)::Comedy -2760::Gambler, The (A J�t�kos) (1997)::Drama +2760::Gambler, The (A Játékos) (1997)::Drama 2761::Iron Giant, The (1999)::Animation|Children's 2762::Sixth Sense, The (1999)::Thriller 2763::Thomas Crown Affair, The (1999)::Action|Thriller @@ -2798,7 +2798,7 @@ 2866::Buddy Holly Story, The (1978)::Drama 2867::Fright Night (1985)::Comedy|Horror 2868::Fright Night Part II (1989)::Horror -2869::Separation, The (La S�paration) (1994)::Drama +2869::Separation, The (La Séparation) (1994)::Drama 2870::Barefoot in the Park (1967)::Comedy 2871::Deliverance (1972)::Adventure|Thriller 2872::Excalibur (1981)::Action|Drama|Fantasy|Romance @@ -2983,7 +2983,7 @@ 3051::Anywhere But Here (1999)::Drama 3052::Dogma (1999)::Comedy 3053::Messenger: The Story of Joan of Arc, The (1999)::Drama|War -3054::Pok�mon: The First Movie (1998)::Animation|Children's +3054::Pokémon: The First Movie (1998)::Animation|Children's 3055::Felicia's Journey (1999)::Thriller 3056::Oxygen (1999)::Thriller 3057::Where's Marlowe? (1999)::Comedy @@ -3156,7 +3156,7 @@ 3224::Woman in the Dunes (Suna no onna) (1964)::Drama 3225::Down to You (2000)::Comedy|Romance 3226::Hellhounds on My Trail (1999)::Documentary -3227::Not Love, Just Frenzy (M�s que amor, frenes�) (1996)::Comedy|Drama|Thriller +3227::Not Love, Just Frenzy (Más que amor, frenesí) (1996)::Comedy|Drama|Thriller 3228::Wirey Spindell (1999)::Comedy 3229::Another Man's Poison (1952)::Crime|Drama 3230::Odessa File, The (1974)::Thriller @@ -3166,11 +3166,11 @@ 3234::Train Ride to Hollywood (1978)::Comedy 3235::Where the Buffalo Roam (1980)::Comedy 3236::Zachariah (1971)::Western -3237::Kestrel's Eye (Falkens �ga) (1998)::Documentary +3237::Kestrel's Eye (Falkens öga) (1998)::Documentary 3238::Eye of the Beholder (1999)::Thriller 3239::Isn't She Great? (2000)::Comedy 3240::Big Tease, The (1999)::Comedy -3241::Cup, The (Ph�rpa) (1999)::Comedy +3241::Cup, The (Phörpa) (1999)::Comedy 3242::Santitos (1997)::Comedy 3243::Encino Man (1992)::Comedy 3244::Goodbye Girl, The (1977)::Comedy|Romance @@ -3195,7 +3195,7 @@ 3263::White Men Can't Jump (1992)::Comedy 3264::Buffy the Vampire Slayer (1992)::Comedy|Horror 3265::Hard-Boiled (Lashou shentan) (1992)::Action|Crime -3266::Man Bites Dog (C'est arriv� pr�s de chez vous) (1992)::Action|Comedy|Crime|Drama +3266::Man Bites Dog (C'est arrivé près de chez vous) (1992)::Action|Comedy|Crime|Drama 3267::Mariachi, El (1992)::Action|Thriller 3268::Stop! Or My Mom Will Shoot (1992)::Action|Comedy 3269::Forever Young (1992)::Adventure|Romance|Sci-Fi @@ -3298,7 +3298,7 @@ 3366::Where Eagles Dare (1969)::Action|Adventure|War 3367::Devil's Brigade, The (1968)::War 3368::Big Country, The (1958)::Romance|Western -3369::Any Number Can Win (M�lodie en sous-sol ) (1963)::Crime +3369::Any Number Can Win (Mélodie en sous-sol ) (1963)::Crime 3370::Betrayed (1988)::Drama|Thriller 3371::Bound for Glory (1976)::Drama 3372::Bridge at Remagen, The (1969)::Action|War @@ -3345,7 +3345,7 @@ 3413::Impact (1949)::Crime|Drama 3414::Love Is a Many-Splendored Thing (1955)::Romance 3415::Mirror, The (Zerkalo) (1975)::Drama -3416::Trial, The (Le Proc�s) (1963)::Drama +3416::Trial, The (Le Procès) (1963)::Drama 3417::Crimson Pirate, The (1952)::Adventure|Comedy|Sci-Fi 3418::Thelma & Louise (1991)::Action|Drama 3419::Something for Everyone (1970)::Comedy|Crime @@ -3461,7 +3461,7 @@ 3529::Postman Always Rings Twice, The (1981)::Crime|Thriller 3530::Smoking/No Smoking (1993)::Comedy 3531::All the Vermeers in New York (1990)::Comedy|Drama|Romance -3532::Freedom for Us (� nous la libert� ) (1931)::Comedy +3532::Freedom for Us (À nous la liberté ) (1931)::Comedy 3533::Actor's Revenge, An (Yukinojo Henge) (1963)::Drama 3534::28 Days (2000)::Comedy 3535::American Psycho (2000)::Comedy|Horror|Thriller @@ -3521,7 +3521,7 @@ 3589::Kill, Baby... Kill! (Operazione Paura) (1966)::Horror 3590::Lords of Flatbush, The (1974)::Comedy 3591::Mr. Mom (1983)::Comedy|Drama -3592::Time Masters (Les Ma�tres du Temps) (1982)::Animation|Sci-Fi +3592::Time Masters (Les Maîtres du Temps) (1982)::Animation|Sci-Fi 3593::Battlefield Earth (2000)::Action|Sci-Fi 3594::Center Stage (2000)::Drama 3595::Held Up (2000)::Comedy @@ -3574,14 +3574,14 @@ 3642::In Old California (1942)::Western 3643::Fighting Seabees, The (1944)::Action|Drama|War 3644::Dark Command (1940)::Western -3645::Cleo From 5 to 7 (Cl�o de 5 � 7) (1962)::Drama +3645::Cleo From 5 to 7 (Cléo de 5 à 7) (1962)::Drama 3646::Big Momma's House (2000)::Comedy 3647::Running Free (2000)::Drama 3648::Abominable Snowman, The (1957)::Horror|Sci-Fi 3649::American Gigolo (1980)::Drama 3650::Anguish (Angustia) (1986)::Horror 3651::Blood Spattered Bride, The (La Novia Ensangrentada) (1972)::Horror -3652::City of the Living Dead (Paura nella citt� dei morti viventi) (1980)::Horror +3652::City of the Living Dead (Paura nella città dei morti viventi) (1980)::Horror 3653::Endless Summer, The (1966)::Documentary 3654::Guns of Navarone, The (1961)::Action|Drama|War 3655::Blow-Out (La Grande Bouffe) (1973)::Drama @@ -3678,7 +3678,7 @@ 3746::Butterfly (La Lengua de las Mariposas) (2000)::Drama|War 3747::Jesus' Son (1999)::Drama 3748::Match, The (1999)::Comedy|Romance -3749::Time Regained (Le Temps Retrouv�) (1999)::Drama +3749::Time Regained (Le Temps Retrouvé) (1999)::Drama 3750::Boricua's Bond (2000)::Drama 3751::Chicken Run (2000)::Animation|Children's|Comedy 3752::Me, Myself and Irene (2000)::Comedy @@ -3728,7 +3728,7 @@ 3796::Wisdom of Crocodiles, The (a.k.a. Immortality) (2000)::Romance|Thriller 3797::In Crowd, The (2000)::Thriller 3798::What Lies Beneath (2000)::Thriller -3799::Pok�mon the Movie 2000 (2000)::Animation|Children's +3799::Pokémon the Movie 2000 (2000)::Animation|Children's 3800::Criminal Lovers (Les Amants Criminels) (1999)::Drama|Romance 3801::Anatomy of a Murder (1959)::Drama|Mystery 3802::Freejack (1992)::Action|Sci-Fi @@ -3745,7 +3745,7 @@ 3813::Interiors (1978)::Drama 3814::Love and Death (1975)::Comedy 3816::Official Story, The (La Historia Oficial) (1985)::Drama -3817::Other Side of Sunday, The (S�ndagsengler) (1996)::Comedy|Drama +3817::Other Side of Sunday, The (Søndagsengler) (1996)::Comedy|Drama 3818::Pot O' Gold (1941)::Comedy|Musical 3819::Tampopo (1986)::Comedy 3820::Thomas and the Magic Railroad (2000)::Children's @@ -3773,7 +3773,7 @@ 3842::Make Them Die Slowly (Cannibal Ferox) (1980)::Horror 3843::Sleepaway Camp (1983)::Horror 3844::Steel Magnolias (1989)::Drama -3845::And God Created Woman (Et Dieu…Cr�a la Femme) (1956)::Drama +3845::And God Created Woman (Et Dieu…Créa la Femme) (1956)::Drama 3846::Easy Money (1983)::Comedy 3847::Ilsa, She Wolf of the SS (1974)::Horror 3848::Silent Fall (1994)::Drama|Thriller @@ -3782,7 +3782,7 @@ 3851::I'm the One That I Want (2000)::Comedy 3852::Tao of Steve, The (2000)::Comedy 3853::Tic Code, The (1998)::Drama -3854::Aim�e & Jaguar (1999)::Drama|Romance +3854::Aimée & Jaguar (1999)::Drama|Romance 3855::Affair of Love, An (Une Liaison Pornographique) (1999)::Drama|Romance 3856::Autumn Heart (1999)::Drama 3857::Bless the Child (2000)::Thriller diff --git a/ch02/movielens/ratings.dat b/datasets/movielens/ratings.dat similarity index 100% rename from ch02/movielens/ratings.dat rename to datasets/movielens/ratings.dat diff --git a/ch02/movielens/users.dat b/datasets/movielens/users.dat similarity index 100% rename from ch02/movielens/users.dat rename to datasets/movielens/users.dat diff --git a/datasets/mta_perf/Performance_LIBUS.xml b/datasets/mta_perf/Performance_LIBUS.xml new file mode 100644 index 000000000..e0473ffae --- /dev/null +++ b/datasets/mta_perf/Performance_LIBUS.xml @@ -0,0 +1,8643 @@ + + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - 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LI Bus + Average number of miles a bus travels between mechanical failures + 2008 + 10 + Service Indicators + M + U + - + 0 + 2,200.00 + 1,932.00 + 2,200.00 + 2,047.00 + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2008 + 11 + Service Indicators + M + U + - + 0 + 2,200.00 + 1,991.00 + 2,200.00 + 2,235.00 + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2008 + 12 + Service Indicators + M + U + - + 0 + 2,200.00 + 1,971.00 + 2,200.00 + 1,908.00 + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2009 + 1 + Service Indicators + M + U + - + 0 + 2,103.00 + 1,945.00 + 2,137.00 + 1,945.00 + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2009 + 2 + Service Indicators + M + U + - 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LI Bus + Average number of miles a bus travels between mechanical failures + 2010 + 4 + Service Indicators + M + U + - + 0 + 3,261.00 + 4,017.00 + 3,204.00 + 4,009.00 + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2010 + 5 + Service Indicators + M + U + - + 0 + 3,184.00 + 3,980.00 + 2,905.00 + 3,838.00 + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2010 + 6 + Service Indicators + M + U + - + 0 + 3,085.00 + 3,917.00 + 2,675.00 + 3,627.00 + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2010 + 7 + Service Indicators + M + U + - + 0 + 3,046.00 + 3,788.00 + 2,833.00 + 3,167.00 + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2010 + 8 + Service Indicators + M + U + - 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LI Bus + Average number of miles a bus travels between mechanical failures + 2011 + 1 + Service Indicators + M + U + - + 0 + 3,729.00 + 3,986.00 + 3,729.00 + 3,986.00 + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2011 + 2 + Service Indicators + M + U + - + 0 + 3,805.00 + 4,018.00 + 3,891.00 + 4,053.00 + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2011 + 3 + Service Indicators + M + U + - + 0 + 3,850.00 + 4,140.00 + 3,938.00 + 4,371.00 + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2011 + 4 + Service Indicators + M + U + - + 0 + 3,827.00 + 4,402.00 + 3,760.00 + 5,390.00 + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2011 + 5 + Service Indicators + M + U + - + 0 + 3,735.00 + + 3,409.00 + + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2011 + 6 + Service Indicators + M + U + - + 0 + 3,620.00 + + 3,138.00 + + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2011 + 7 + Service Indicators + M + U + - + 0 + 3,574.00 + + 3,324.00 + + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2011 + 8 + Service Indicators + M + U + - + 0 + 3,539.00 + + 3,311.00 + + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2011 + 9 + Service Indicators + M + U + - + 0 + 3,584.00 + + 3,994.00 + + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2011 + 10 + Service Indicators + M + U + - + 0 + 3,633.00 + + 4,112.00 + + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2011 + 11 + Service Indicators + M + U + - + 0 + 3,681.00 + + 4,268.00 + + + + 166887 + 166587 + LI Bus + Mean Distance Between Failures - LI Bus + Average number of miles a bus travels between mechanical failures + 2011 + 12 + Service Indicators + M + U + - + 0 + 3,697.00 + + 3,891.00 + + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 1 + Service Indicators + M + U + - + 0 + + 29,921.00 + + 29,921.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 2 + Service Indicators + M + U + - + 0 + + 57,923.00 + + 28,002.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 3 + Service Indicators + M + U + - + 0 + + 88,635.00 + + 30,712.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 4 + Service Indicators + M + U + - + 0 + + 121,088.00 + + 32,453.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 5 + Service Indicators + M + U + - + 0 + + 153,269.00 + + 32,181.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 6 + Service Indicators + M + U + - + 0 + + 184,757.00 + + 31,488.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 7 + Service Indicators + M + U + - + 0 + + 217,057.00 + + 32,300.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 8 + Service Indicators + M + U + - + 0 + + 248,619.00 + + 31,562.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 9 + Service Indicators + M + U + - + 0 + + 281,381.00 + + 32,762.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 10 + Service Indicators + M + U + - + 0 + + 316,647.00 + + 35,266.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 11 + Service Indicators + M + U + - + 0 + + 346,981.00 + + 30,334.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 12 + Service Indicators + M + U + - + 0 + + 378,207.00 + + 31,226.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 1 + Service Indicators + M + U + - + 0 + + 29,405.00 + + 29,405.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 2 + Service Indicators + M + U + - + 0 + + 59,870.00 + + 30,465.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 3 + Service Indicators + M + U + - + 0 + + 93,848.00 + + 33,978.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 4 + Service Indicators + M + U + - + 0 + + 128,231.00 + + 34,383.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 5 + Service Indicators + M + U + - + 0 + + 161,489.00 + + 33,258.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 6 + Service Indicators + M + U + - + 0 + + 195,168.00 + + 33,679.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 7 + Service Indicators + M + U + - + 0 + + 228,910.00 + + 33,742.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 8 + Service Indicators + M + U + - + 0 + + 261,128.00 + + 32,218.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 9 + Service Indicators + M + U + - + 0 + + 295,008.00 + + 33,880.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 10 + Service Indicators + M + U + - + 0 + + 331,544.00 + + 36,536.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 11 + Service Indicators + M + U + - + 0 + + 363,777.00 + + 32,233.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 12 + Service Indicators + M + U + - + 0 + + 394,917.00 + + 31,140.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 1 + Service Indicators + M + U + - + 0 + + 30,397.00 + + 30,397.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 2 + Service Indicators + M + U + - + 0 + + 56,142.00 + + 25,745.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 3 + Service Indicators + M + U + - + 0 + + 91,381.00 + + 35,239.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 4 + Service Indicators + M + U + - + 0 + + 124,825.00 + + 33,444.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 5 + Service Indicators + M + U + - + 0 + + 156,195.00 + + 31,370.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 6 + Service Indicators + M + U + - + 0 + + 186,377.00 + + 30,182.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 7 + Service Indicators + M + U + - + 0 + + 214,374.00 + + 27,997.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 8 + Service Indicators + M + U + - + 0 + + 242,609.00 + + 28,235.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 9 + Service Indicators + M + U + - + 0 + + 270,427.00 + + 27,818.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 10 + Service Indicators + M + U + - + 0 + + 300,434.00 + + 30,007.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 11 + Service Indicators + M + U + - + 0 + + 329,620.00 + + 29,186.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 12 + Service Indicators + M + U + - + 0 + + 2,752,674.00 + + 2,423,054.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 1 + Service Indicators + M + U + - + 0 + + 23,927.00 + + 23,927.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 2 + Service Indicators + M + U + - + 0 + + 49,822.00 + + 25,895.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 3 + Service Indicators + M + U + - + 0 + + 82,399.00 + + 32,577.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 4 + Service Indicators + M + U + - + 0 + + 111,514.00 + + 29,115.00 + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 5 + Service Indicators + M + U + - + 0 + + + + + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 6 + Service Indicators + M + U + - + 0 + + + + + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 7 + Service Indicators + M + U + - + 0 + + + + + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 8 + Service Indicators + M + U + - + 0 + + + + + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 9 + Service Indicators + M + U + - + 0 + + + + + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 10 + Service Indicators + M + U + - + 0 + + + + + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 11 + Service Indicators + M + U + - + 0 + + + + + + + 166916 + 166616 + LI Bus + Total Paratransit Ridership - LI Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 12 + Service Indicators + M + U + - + 0 + + + + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 1 + Safety Indicators + M + D + - + 2 + + + + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 2 + Safety Indicators + M + D + - + 2 + + + + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 3 + Safety Indicators + M + D + - + 2 + + + + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 4 + Safety Indicators + M + D + - + 2 + + + + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 5 + Safety Indicators + M + D + - + 2 + + + + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 6 + Safety Indicators + M + D + - + 2 + + + + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 7 + Safety Indicators + M + D + - + 2 + + + + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 8 + Safety Indicators + M + D + - + 2 + + + + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 9 + Safety Indicators + M + D + - + 2 + + + + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 10 + Safety Indicators + M + D + - + 2 + + + + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 11 + Safety Indicators + M + D + - + 2 + + + + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 12 + Safety Indicators + M + D + - + 2 + + 1.43 + + .78 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 1.25 + 1.72 + 1.25 + 1.72 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 1.25 + .86 + 1.25 + .43 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 1.25 + .55 + 1.25 + .00 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 1.25 + .51 + 1.25 + .39 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 1.25 + .81 + 1.25 + 1.95 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 1.25 + 1.20 + 1.25 + 3.09 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 1.25 + 1.20 + 1.25 + 3.09 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 1.25 + 1.23 + 1.25 + 1.54 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 1.25 + 1.31 + 1.25 + 1.85 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 1.25 + 1.20 + 1.25 + .36 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 1.25 + 1.13 + 1.25 + .39 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 1.25 + 1.10 + 1.25 + .81 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 1.07 + .44 + 1.07 + .44 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 1.07 + .68 + 1.07 + .95 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 1.07 + 1.42 + 1.07 + 2.60 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 1.07 + 1.75 + 1.07 + 2.62 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 1.07 + 2.43 + 1.07 + 4.99 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 1.07 + 2.20 + 1.07 + 1.12 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 1.07 + 2.44 + 1.07 + 3.80 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 1.07 + 2.22 + 1.07 + .75 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 1.07 + 2.13 + 1.07 + 1.48 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 1.07 + 2.02 + 1.07 + 1.09 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 1.07 + 1.90 + 1.07 + .76 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 1.07 + 1.82 + 1.07 + .83 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 1 + Safety Indicators + M + D + - + 2 + 1.78 + 3.23 + 1.78 + 3.23 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 2 + Safety Indicators + M + D + - + 2 + 1.78 + 1.83 + 1.78 + .46 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 3 + Safety Indicators + M + D + - + 2 + 1.78 + 1.85 + 1.78 + 1.12 + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 4 + Safety Indicators + M + D + - + 2 + 1.78 + + 1.78 + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 5 + Safety Indicators + M + D + - + 2 + 1.78 + + 1.78 + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 6 + Safety Indicators + M + D + - + 2 + 1.78 + + 1.78 + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 7 + Safety Indicators + M + D + - + 2 + 1.78 + + 1.78 + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 8 + Safety Indicators + M + D + - + 2 + 1.78 + + 1.78 + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 9 + Safety Indicators + M + D + - + 2 + 1.78 + + 1.78 + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 10 + Safety Indicators + M + D + - + 2 + 1.78 + + 1.78 + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 11 + Safety Indicators + M + D + - + 2 + 1.78 + + 1.78 + + + + 166924 + 166624 + LI Bus + Customer Accident Injury Rate - LI Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 12 + Safety Indicators + M + D + - + 2 + 1.78 + + 1.78 + + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 1 + Service Indicators + M + U + - + 0 + 32,781,000.00 + 2,583,985.00 + 2,520,808.00 + 2,583,985.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 2 + Service Indicators + M + U + - + 0 + 32,781,000.00 + 5,037,191.00 + 2,520,808.00 + 2,453,206.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 3 + Service Indicators + M + U + - + 0 + 32,781,000.00 + 7,688,867.00 + 2,520,808.00 + 2,651,676.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 4 + Service Indicators + M + U + - + 0 + 32,781,000.00 + 10,477,348.00 + 2,520,808.00 + 2,788,481.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 5 + Service Indicators + M + U + - + 0 + 32,781,000.00 + 13,259,489.00 + 2,520,808.00 + 2,782,141.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 6 + Service Indicators + M + U + - + 0 + 32,781,000.00 + 16,020,679.00 + 2,520,808.00 + 2,761,190.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 7 + Service Indicators + M + U + - + 0 + 32,781,000.00 + 18,902,638.00 + 2,520,808.00 + 2,881,959.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 8 + Service Indicators + M + U + - + 0 + 32,781,000.00 + 21,731,655.00 + 2,520,808.00 + 2,829,017.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 9 + Service Indicators + M + U + - + 0 + 32,781,000.00 + 24,610,572.00 + 2,520,808.00 + 2,878,917.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 10 + Service Indicators + M + U + - + 0 + 32,781,000.00 + 27,591,500.00 + 2,520,808.00 + 2,980,928.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 11 + Service Indicators + M + U + - + 0 + 32,781,000.00 + 30,129,451.00 + 2,520,808.00 + 2,537,951.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 12 + Service Indicators + M + U + - + 0 + 32,781,000.00 + 32,708,782.00 + 2,520,808.00 + 2,579,331.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 1 + Service Indicators + M + U + - + 0 + 2,435,953.00 + 2,345,231.00 + 2,435,953.00 + 2,345,231.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 2 + Service Indicators + M + U + - + 0 + 4,718,991.00 + 4,637,692.00 + 2,283,038.00 + 2,292,461.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 3 + Service Indicators + M + U + - + 0 + 7,408,718.00 + 7,247,181.00 + 2,689,727.00 + 2,609,489.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 4 + Service Indicators + M + U + - + 0 + 10,183,977.00 + 9,837,286.00 + 2,775,259.00 + 2,590,105.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 5 + Service Indicators + M + U + - + 0 + 12,841,880.00 + 12,405,332.00 + 2,657,903.00 + 2,568,046.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 6 + Service Indicators + M + U + - + 0 + 15,660,851.00 + 14,995,159.00 + 2,818,971.00 + 2,589,827.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 7 + Service Indicators + M + U + - + 0 + 18,576,059.00 + 17,691,556.00 + 2,915,208.00 + 2,696,397.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 8 + Service Indicators + M + U + - + 0 + 21,463,979.00 + 20,284,304.00 + 2,887,920.00 + 2,592,748.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 9 + Service Indicators + M + U + - + 0 + 24,329,004.00 + 22,986,709.00 + 2,865,025.00 + 2,702,405.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 10 + Service Indicators + M + U + - + 0 + 27,255,423.00 + 25,779,737.00 + 2,926,419.00 + 2,793,028.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 11 + Service Indicators + M + U + - + 0 + 30,022,827.00 + 28,317,468.00 + 2,767,404.00 + 2,537,731.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 12 + Service Indicators + M + U + - + 0 + 32,565,271.00 + 30,787,662.00 + 2,542,444.00 + 2,470,194.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 1 + Service Indicators + M + U + - + 0 + 2,283,818.00 + 2,266,157.00 + 2,283,818.00 + 2,266,157.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 2 + Service Indicators + M + U + - + 0 + 4,530,039.00 + 4,371,553.00 + 2,246,221.00 + 2,105,396.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 3 + Service Indicators + M + U + - + 0 + 7,078,955.00 + 7,062,456.00 + 2,548,916.00 + 2,690,903.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 4 + Service Indicators + M + U + - + 0 + 9,608,937.00 + 9,737,696.00 + 2,529,982.00 + 2,675,240.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 5 + Service Indicators + M + U + - + 0 + 12,117,372.00 + 12,344,093.00 + 2,508,435.00 + 2,606,397.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 6 + Service Indicators + M + U + - + 0 + 14,647,082.00 + 15,013,580.00 + 2,529,710.00 + 2,669,487.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 7 + Service Indicators + M + U + - + 0 + 17,280,889.00 + 17,643,011.00 + 2,633,807.00 + 2,629,431.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 8 + Service Indicators + M + U + - + 0 + 19,813,453.00 + 20,304,014.00 + 2,532,564.00 + 2,661,003.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 9 + Service Indicators + M + U + - + 0 + 22,453,128.00 + 23,007,327.00 + 2,639,675.00 + 2,703,313.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 10 + Service Indicators + M + U + - + 0 + 25,181,323.00 + 25,768,390.00 + 2,728,195.00 + 2,761,063.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 11 + Service Indicators + M + U + - + 0 + 27,660,147.00 + 28,393,835.00 + 2,478,824.00 + 2,625,445.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 12 + Service Indicators + M + U + - + 0 + 30,073,001.00 + 30,562,001.00 + 2,412,854.00 + 2,168,166.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 1 + Service Indicators + M + U + - + 0 + 2,224,000.00 + 2,168,166.00 + 2,224,000.00 + 2,168,166.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 2 + Service Indicators + M + U + - + 0 + 4,290,000.00 + 4,361,614.00 + 2,066,000.00 + 2,193,448.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 3 + Service Indicators + M + U + - + 0 + 7,012,000.00 + 7,051,529.00 + 2,722,000.00 + 2,689,915.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 4 + Service Indicators + M + U + - + 0 + 9,588,000.00 + 9,562,798.00 + 2,576,000.00 + 2,511,269.00 + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 5 + Service Indicators + M + U + - + 0 + 12,193,000.00 + + 2,605,000.00 + + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 6 + Service Indicators + M + U + - + 0 + 14,894,000.00 + + 2,701,000.00 + + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 7 + Service Indicators + M + U + - + 0 + 17,485,000.00 + + 2,591,000.00 + + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 8 + Service Indicators + M + U + - + 0 + 20,228,000.00 + + 2,743,000.00 + + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 9 + Service Indicators + M + U + - + 0 + 22,881,000.00 + + 2,653,000.00 + + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 10 + Service Indicators + M + U + - + 0 + 25,531,000.00 + + 2,650,000.00 + + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 11 + Service Indicators + M + U + - + 0 + 28,190,000.00 + + 2,659,000.00 + + + + 204243 + 203943 + LI Bus + Total Ridership - LI Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers from bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 12 + Service Indicators + M + U + - + 0 + 30,581,000.00 + + 2,391,000.00 + + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 1 + Safety Indicators + M + D + - + 2 + 2.40 + 6.10 + 2.40 + 6.10 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 2 + Safety Indicators + M + D + - + 2 + 2.40 + 4.45 + 2.40 + 2.65 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 3 + Safety Indicators + M + D + - + 2 + 2.40 + 3.78 + 2.40 + 2.48 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 4 + Safety Indicators + M + D + - + 2 + 2.40 + 4.38 + 2.40 + 6.13 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 5 + Safety Indicators + M + D + - + 2 + 2.40 + 3.49 + 2.40 + .00 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 6 + Safety Indicators + M + D + - + 2 + 2.40 + 3.73 + 2.40 + 4.91 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 7 + Safety Indicators + M + D + - + 2 + 2.40 + 3.88 + 2.40 + 4.75 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 8 + Safety Indicators + M + D + - + 2 + 2.40 + 3.69 + 2.40 + 2.39 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 9 + Safety Indicators + M + D + - + 2 + 2.40 + 3.42 + 2.40 + 1.25 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 10 + Safety Indicators + M + D + - + 2 + 2.40 + 3.56 + 2.40 + 4.75 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 11 + Safety Indicators + M + D + - + 2 + 2.40 + 3.47 + 2.40 + 2.54 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 12 + Safety Indicators + M + D + - + 2 + 2.40 + 3.19 + 2.40 + .00 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 2.40 + 3.11 + 2.40 + 3.11 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 2.40 + 1.55 + 2.40 + .00 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 2.40 + 1.73 + 2.40 + 2.08 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 2.40 + 2.08 + 2.40 + 3.12 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 2.40 + 2.69 + 2.40 + 5.14 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 2.40 + 2.59 + 2.40 + 2.06 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 2.40 + 2.37 + 2.40 + 1.04 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 2.40 + 3.11 + 2.40 + 8.28 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 2.40 + 3.45 + 2.40 + 6.26 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 2.40 + 3.42 + 2.40 + 3.11 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 2.40 + 3.30 + 2.40 + 2.08 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 2.40 + 3.54 + 2.40 + 6.26 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 3.43 + 2.09 + 3.43 + 2.09 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 3.43 + 2.10 + 3.43 + 2.10 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 3.43 + 1.76 + 3.43 + 1.08 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 3.43 + 1.33 + 3.43 + .00 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 3.43 + 2.36 + 3.43 + 6.61 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 3.43 + 3.05 + 3.43 + 6.64 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 3.43 + 3.09 + 3.43 + 3.34 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 3.43 + 3.39 + 3.43 + 2.23 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 3.43 + 3.25 + 3.43 + 3.42 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 3.43 + 3.10 + 3.43 + 3.45 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 3.43 + 3.12 + 3.43 + 3.41 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 3.43 + 3.15 + 3.43 + 3.46 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 1 + Safety Indicators + M + D + - + 2 + 3.06 + 2.32 + 3.06 + 2.32 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 2 + Safety Indicators + M + D + - + 2 + 3.06 + 2.33 + 3.06 + 2.34 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 3 + Safety Indicators + M + D + - + 2 + 3.06 + 3.50 + 3.06 + 5.88 + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 4 + Safety Indicators + M + D + - + 2 + 3.06 + + 3.06 + + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 5 + Safety Indicators + M + D + - + 2 + 3.06 + + 3.06 + + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 6 + Safety Indicators + M + D + - + 2 + 3.06 + + 3.06 + + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 7 + Safety Indicators + M + D + - + 2 + 3.06 + + 3.06 + + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 8 + Safety Indicators + M + D + - + 2 + 3.06 + + 3.06 + + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 9 + Safety Indicators + M + D + - + 2 + 3.06 + + 3.06 + + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 10 + Safety Indicators + M + D + - + 2 + 3.06 + + 3.06 + + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 11 + Safety Indicators + M + D + - + 2 + 3.06 + + 3.06 + + + + 247925 + 247625 + LI Bus + Employee Lost Time Rate - LI Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 12 + Safety Indicators + M + D + - + 2 + 3.06 + + 3.06 + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 1 + Safety Indicators + M + D + - + 2 + + + + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 2 + Safety Indicators + M + D + - + 2 + + + + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 3 + Safety Indicators + M + D + - + 2 + + + + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 4 + Safety Indicators + M + D + - + 2 + + + + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 5 + Safety Indicators + M + D + - + 2 + + + + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 6 + Safety Indicators + M + D + - + 2 + + + + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 7 + Safety Indicators + M + D + - + 2 + + + + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 8 + Safety Indicators + M + D + - + 2 + + + + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 9 + Safety Indicators + M + D + - + 2 + + + + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 10 + Safety Indicators + M + D + - + 2 + + + + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 11 + Safety Indicators + M + D + - + 2 + + + + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 12 + Safety Indicators + M + D + - + 2 + + .00 + + .00 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 5.54 + 2.00 + 5.54 + 2.00 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 5.54 + 1.58 + 5.54 + 1.11 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 5.54 + 3.06 + 5.54 + 5.78 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 5.54 + 2.53 + 5.54 + .99 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 5.54 + 3.44 + 5.54 + 7.03 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 5.54 + 3.50 + 5.54 + 3.79 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 5.54 + 3.50 + 5.54 + 3.79 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 5.54 + 3.07 + 5.54 + .96 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 5.54 + 2.94 + 5.54 + 1.94 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 5.54 + 2.63 + 5.54 + .00 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 5.54 + 2.39 + 5.54 + .00 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 5.54 + 2.35 + 5.54 + 1.89 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 2.28 + 8.73 + 2.28 + 8.73 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 2.28 + 7.08 + 2.28 + 5.29 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 2.28 + 5.81 + 2.28 + 3.57 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 2.28 + 5.02 + 2.28 + 2.77 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 2.28 + 6.13 + 2.28 + 10.57 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 2.28 + 5.92 + 2.28 + 4.84 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 2.28 + 5.48 + 2.28 + 2.86 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 2.28 + 5.26 + 2.28 + 3.75 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 2.28 + 4.91 + 2.28 + 1.99 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 2.28 + 4.90 + 2.28 + 4.85 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 2.28 + 4.82 + 2.28 + 3.98 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 2.28 + 4.99 + 2.28 + 6.90 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 1 + Safety Indicators + M + D + - + 2 + 4.84 + 6.05 + 4.84 + 6.05 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 2 + Safety Indicators + M + D + - + 2 + 4.84 + 6.87 + 4.84 + 7.78 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 3 + Safety Indicators + M + D + - + 2 + 4.84 + 6.01 + 4.84 + 15.68 + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 4 + Safety Indicators + M + D + - + 2 + 4.84 + + 4.84 + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 5 + Safety Indicators + M + D + - + 2 + 4.84 + + 4.84 + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 6 + Safety Indicators + M + D + - + 2 + 4.84 + + 4.84 + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 7 + Safety Indicators + M + D + - + 2 + 4.84 + + 4.84 + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 8 + Safety Indicators + M + D + - + 2 + 4.84 + + 4.84 + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 9 + Safety Indicators + M + D + - + 2 + 4.84 + + 4.84 + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 10 + Safety Indicators + M + D + - + 2 + 4.84 + + 4.84 + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 11 + Safety Indicators + M + D + - + 2 + 4.84 + + 4.84 + + + + 304493 + 304490 + LI Bus + Collisions with Injury Rate - LI Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 12 + Safety Indicators + M + D + - + 2 + 4.84 + + 4.84 + + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2008 + 1 + Service Indicators + M + U + % + 2 + + 99.58 + + 99.58 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2008 + 2 + Service Indicators + M + U + % + 2 + 100.00 + 99.13 + 100.00 + 99.14 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2008 + 3 + Service Indicators + M + U + % + 2 + 100.00 + 99.14 + 100.00 + 99.16 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2008 + 4 + Service Indicators + M + U + % + 2 + 100.00 + 99.10 + 100.00 + 98.98 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2008 + 5 + Service Indicators + M + U + % + 2 + 100.00 + 99.19 + 100.00 + 99.57 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2008 + 6 + Service Indicators + M + U + % + 2 + 100.00 + 99.22 + 100.00 + 99.33 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2008 + 7 + Service Indicators + M + U + % + 2 + 100.00 + 99.25 + 100.00 + 99.51 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2008 + 8 + Service Indicators + M + U + % + 2 + 100.00 + 99.30 + 100.00 + 99.62 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2008 + 9 + Service Indicators + M + U + % + 2 + 100.00 + 99.33 + 100.00 + 99.50 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2008 + 10 + Service Indicators + M + U + % + 2 + 100.00 + 99.41 + 100.00 + 99.63 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2008 + 11 + Service Indicators + M + U + % + 2 + 100.00 + 99.58 + 100.00 + 99.64 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2008 + 12 + Service Indicators + M + U + % + 2 + 100.00 + 99.60 + 100.00 + 99.60 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2009 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.58 + 99.40 + 99.58 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2009 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.57 + 99.40 + 99.55 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2009 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.55 + 99.40 + 99.51 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2009 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.50 + 99.40 + 99.50 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2009 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.53 + 99.40 + 99.54 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2009 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.51 + 99.40 + 99.39 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2009 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.50 + 99.40 + 99.47 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2009 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.52 + 99.40 + 99.65 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2009 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.53 + 99.40 + 99.61 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2009 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.54 + 99.40 + 99.61 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2009 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.55 + 99.40 + 99.64 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2009 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 99.55 + 99.40 + 99.57 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2010 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.61 + 99.40 + 99.61 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2010 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.47 + 99.40 + 99.33 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2010 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.46 + 99.40 + 99.42 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2010 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.33 + 99.40 + 98.98 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2010 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.19 + 99.40 + 98.59 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2010 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.06 + 99.40 + 98.46 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2010 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.08 + 99.40 + 99.19 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2010 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.10 + 99.40 + 99.19 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2010 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.11 + 99.40 + 99.18 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2010 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.12 + 99.40 + 99.26 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2010 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.14 + 99.40 + 99.32 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2010 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 98.90 + 99.40 + 96.35 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2011 + 1 + Service Indicators + M + U + % + 2 + 99.36 + 97.25 + 99.36 + 97.25 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2011 + 2 + Service Indicators + M + U + % + 2 + 99.36 + 97.84 + 99.36 + 98.48 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2011 + 3 + Service Indicators + M + U + % + 2 + 99.36 + 97.68 + 99.36 + 97.40 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2011 + 4 + Service Indicators + M + U + % + 2 + 99.36 + 98.01 + 99.36 + 99.01 + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2011 + 5 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2011 + 6 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2011 + 7 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2011 + 8 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2011 + 9 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2011 + 10 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2011 + 11 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374900 + + LI Bus + % of Completed Trips - LI Bus + The percent of total scheduled trips completed + 2011 + 12 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.66 + 99.40 + 99.66 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.67 + 99.40 + 99.68 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.68 + 99.40 + 99.70 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.68 + 99.40 + 99.66 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.68 + 99.40 + 99.68 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.62 + 99.40 + 99.36 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.62 + 99.40 + 99.59 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.64 + 99.40 + 99.76 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.62 + 99.40 + 99.49 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.62 + 99.40 + 99.62 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.63 + 99.40 + 99.68 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 99.62 + 99.40 + 99.55 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.61 + 99.40 + 99.61 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.57 + 99.40 + 99.54 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.54 + 99.40 + 99.48 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.50 + 99.40 + 99.38 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.50 + 99.40 + 99.50 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.45 + 99.40 + 99.25 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.46 + 99.40 + 99.48 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.48 + 99.40 + 99.65 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.49 + 99.40 + 99.52 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.56 + 99.40 + 99.65 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.57 + 99.40 + 99.66 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 99.50 + 99.40 + 99.58 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.51 + 99.40 + 99.51 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.43 + 99.40 + 99.36 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.44 + 99.40 + 99.47 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.25 + 99.40 + 98.70 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.03 + 99.40 + 98.19 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 98.83 + 99.40 + 97.91 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 98.87 + 99.40 + 99.11 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 98.91 + 99.40 + 99.14 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 98.94 + 99.40 + 99.17 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 98.97 + 99.40 + 99.25 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.01 + 99.40 + 99.45 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 98.82 + 99.40 + 96.81 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 1 + Service Indicators + M + U + % + 2 + 99.36 + 97.24 + 99.36 + 97.24 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 2 + Service Indicators + M + U + % + 2 + 99.36 + 97.68 + 99.36 + 98.15 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 3 + Service Indicators + M + U + % + 2 + 99.36 + 97.91 + 99.36 + 98.34 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 4 + Service Indicators + M + U + % + 2 + 99.36 + 98.13 + 99.36 + 98.86 + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 5 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 6 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 7 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 8 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 9 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 10 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 11 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374901 + 374900 + LI Bus + Rockville Centre Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 12 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.56 + 99.40 + 99.56 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.56 + 99.40 + 99.56 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.57 + 99.40 + 99.58 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.54 + 99.40 + 99.47 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.55 + 99.40 + 99.57 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.52 + 99.40 + 99.41 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.53 + 99.40 + 99.53 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.54 + 99.40 + 99.61 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.55 + 99.40 + 99.62 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.55 + 99.40 + 99.64 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.56 + 99.40 + 99.62 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2008 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 99.56 + 99.40 + 99.60 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.57 + 99.40 + 99.57 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.57 + 99.40 + 99.56 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.55 + 99.40 + 99.52 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.54 + 99.40 + 99.50 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.54 + 99.40 + 99.55 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.52 + 99.40 + 99.44 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.51 + 99.40 + 99.46 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.53 + 99.40 + 99.66 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.54 + 99.40 + 99.65 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.49 + 99.40 + 99.48 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.49 + 99.40 + 99.57 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2009 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 99.57 + 99.40 + 99.57 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.64 + 99.40 + 99.64 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.49 + 99.40 + 99.32 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.46 + 99.40 + 99.40 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.37 + 99.40 + 99.11 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.26 + 99.40 + 98.78 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.17 + 99.40 + 98.72 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.18 + 99.40 + 99.24 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.18 + 99.40 + 99.22 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.18 + 99.40 + 99.19 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.19 + 99.40 + 99.27 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.20 + 99.40 + 99.25 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2010 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 98.94 + 99.40 + 96.12 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 1 + Service Indicators + M + U + % + 2 + 99.36 + 97.26 + 99.36 + 97.26 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 2 + Service Indicators + M + U + % + 2 + 99.36 + 97.92 + 99.36 + 98.64 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 3 + Service Indicators + M + U + % + 2 + 99.36 + 97.57 + 99.36 + 96.94 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 4 + Service Indicators + M + U + % + 2 + 99.36 + 97.96 + 99.36 + 99.07 + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 5 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 6 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 7 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 8 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 9 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 10 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 11 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374902 + 374900 + LI Bus + Norman J. Levy Depot - % of Completed Trips + The percent of total scheduled trips completed + 2011 + 12 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2008 + 1 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2008 + 2 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2008 + 3 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2008 + 4 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2008 + 5 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2008 + 6 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2008 + 7 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2008 + 8 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2008 + 9 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2008 + 10 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2008 + 11 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2008 + 12 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2009 + 1 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2009 + 2 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2009 + 3 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2009 + 4 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2009 + 5 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2009 + 6 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2009 + 7 + Service Indicators + M + N + - + 0 + + 784.00 + + 784.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2009 + 8 + Service Indicators + M + N + - + 0 + + 1,376.00 + + 592.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2009 + 9 + Service Indicators + M + N + - + 0 + + 1,917.00 + + 541.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2009 + 10 + Service Indicators + M + N + - + 0 + + 2,341.00 + + 424.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2009 + 11 + Service Indicators + M + N + - + 0 + + 2,773.00 + + 432.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2009 + 12 + Service Indicators + M + N + - + 0 + + 3,182.00 + + 409.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2010 + 1 + Service Indicators + M + N + - + 0 + + 350.00 + + 350.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2010 + 2 + Service Indicators + M + N + - + 0 + + 651.00 + + 301.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2010 + 3 + Service Indicators + M + N + - + 0 + + 1,003.00 + + 352.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2010 + 4 + Service Indicators + M + N + - + 0 + + 1,401.00 + + 398.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2010 + 5 + Service Indicators + M + N + - + 0 + + 1,764.00 + + 363.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2010 + 6 + Service Indicators + M + N + - + 0 + + 2,165.00 + + 401.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2010 + 7 + Service Indicators + M + N + - + 0 + + 2,569.00 + + 404.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2010 + 8 + Service Indicators + M + N + - + 0 + + 2,985.00 + + 416.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2010 + 9 + Service Indicators + M + N + - + 0 + + 3,426.00 + + 441.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2010 + 10 + Service Indicators + M + N + - + 0 + + 3,971.00 + + 545.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2010 + 11 + Service Indicators + M + N + - + 0 + + 4,370.00 + + 399.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2010 + 12 + Service Indicators + M + N + - + 0 + + 4,812.00 + + 442.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2011 + 1 + Service Indicators + M + N + - + 0 + + 381.00 + + 381.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2011 + 2 + Service Indicators + M + N + - + 0 + + 775.00 + + 394.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2011 + 3 + Service Indicators + M + N + - + 0 + + 1,228.00 + + 453.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2011 + 4 + Service Indicators + M + N + - + 0 + + 1,581.00 + + 353.00 + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2011 + 5 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2011 + 6 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2011 + 7 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2011 + 8 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2011 + 9 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2011 + 10 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2011 + 11 + Service Indicators + M + N + - + 0 + + + + + + + 374955 + 374952 + LI Bus + Bus Passenger Wheelchair Lift Usage - LI Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. New LIB measurement standardizes it with operations of NYCT Bus and MTA Bus. + 2011 + 12 + Service Indicators + M + N + - + 0 + + + + + + \ No newline at end of file diff --git a/datasets/mta_perf/Performance_LIBUS.xsd b/datasets/mta_perf/Performance_LIBUS.xsd new file mode 100644 index 000000000..d99ad1840 --- /dev/null +++ b/datasets/mta_perf/Performance_LIBUS.xsd @@ -0,0 +1,96 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/datasets/mta_perf/Performance_LIRR.xml b/datasets/mta_perf/Performance_LIRR.xml new file mode 100644 index 000000000..b2ba574a2 --- /dev/null +++ b/datasets/mta_perf/Performance_LIRR.xml @@ -0,0 +1,16635 @@ + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 1 + Safety Indicators + M + D + - + 2 + 2.70 + 2.24 + 2.70 + 2.24 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 2 + Safety Indicators + M + D + - + 2 + 2.70 + 1.54 + 2.70 + .79 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 3 + Safety Indicators + M + D + - + 2 + 2.70 + 1.62 + 2.70 + 1.76 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 4 + Safety Indicators + M + D + - + 2 + 2.70 + 1.53 + 2.70 + 1.24 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 5 + Safety Indicators + M + D + - + 2 + 2.70 + 1.66 + 2.70 + 2.18 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 6 + Safety Indicators + M + D + - + 2 + 2.70 + 1.85 + 2.70 + 2.61 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 7 + Safety Indicators + M + D + - + 2 + 2.70 + 1.92 + 2.70 + 2.38 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 8 + Safety Indicators + M + D + - + 2 + 2.70 + 1.99 + 2.70 + 2.46 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 9 + Safety Indicators + M + D + - + 2 + 2.70 + 2.03 + 2.70 + 2.30 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 10 + Safety Indicators + M + D + - + 2 + 2.70 + 2.06 + 2.70 + 2.32 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 11 + Safety Indicators + M + D + - + 2 + 2.70 + 2.02 + 2.70 + 1.59 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 12 + Safety Indicators + M + D + - + 2 + 2.70 + 2.05 + 2.70 + 2.40 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 1.95 + 2.33 + 1.95 + 2.33 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 1.95 + 2.86 + 1.95 + 3.37 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 1.95 + 2.75 + 1.95 + 2.58 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 1.95 + 2.70 + 1.95 + 2.55 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 1.95 + 2.46 + 1.95 + 1.64 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 1.95 + 2.39 + 1.95 + 1.98 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 1.95 + 2.34 + 1.95 + 2.10 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 1.95 + 2.50 + 1.95 + 3.72 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 1.95 + 2.49 + 1.95 + 2.43 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 1.95 + 2.41 + 1.95 + 1.76 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 1.95 + 2.32 + 1.95 + 1.30 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 1.95 + 2.30 + 1.95 + 2.08 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 2.05 + 3.88 + 2.05 + 3.88 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 2.05 + 2.94 + 2.05 + 2.28 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 2.05 + 2.64 + 2.05 + 2.02 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 2.05 + 2.60 + 2.05 + 2.47 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 2.05 + 2.47 + 2.05 + 2.02 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 2.05 + 2.44 + 2.05 + 2.30 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 2.05 + 2.52 + 2.05 + 2.94 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 2.05 + 2.79 + 2.05 + 4.98 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 2.05 + 2.80 + 2.05 + 2.82 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 2.05 + 2.77 + 2.05 + 2.55 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 2.05 + 2.76 + 2.05 + 2.67 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 2.05 + 2.77 + 2.05 + 2.90 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 1 + Safety Indicators + M + D + - + 2 + 2.30 + 4.50 + 2.30 + 4.50 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 2 + Safety Indicators + M + D + - + 2 + 2.30 + 3.50 + 2.30 + 2.50 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 3 + Safety Indicators + M + D + - + 2 + 2.30 + 3.30 + 2.30 + 2.90 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 4 + Safety Indicators + M + D + - + 2 + 2.30 + 3.30 + 2.30 + 3.30 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 5 + Safety Indicators + M + D + - + 2 + 2.30 + 2.90 + 2.30 + 1.50 + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 6 + Safety Indicators + M + D + - + 2 + 2.25 + + 2.25 + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 7 + Safety Indicators + M + D + - + 2 + 2.25 + + 2.25 + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 8 + Safety Indicators + M + D + - + 2 + 2.25 + + 2.25 + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 9 + Safety Indicators + M + D + - + 2 + 2.25 + + 2.25 + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 10 + Safety Indicators + M + D + - + 2 + 2.25 + + 2.25 + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 11 + Safety Indicators + M + D + - + 2 + 2.25 + + 2.25 + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 12 + Safety Indicators + M + D + - + 2 + 2.25 + + 2.25 + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 1 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 2 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 3 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 4 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 5 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 6 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 7 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 8 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 9 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 10 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 11 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 12 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2014 + 1 + Safety Indicators + M + D + - + 2 + 55,555.00 + + 55,555.00 + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2014 + 2 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2014 + 3 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2014 + 4 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2014 + 5 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2014 + 6 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2014 + 7 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2014 + 8 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2014 + 9 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2014 + 10 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2014 + 11 + Safety Indicators + M + D + - + 2 + + + + + + + 20419 + + Long Island Rail Road + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2014 + 12 + Safety Indicators + M + D + - + 2 + + + + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 1 + Safety Indicators + M + D + - + 2 + 3.91 + 5.09 + 3.91 + 5.09 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 2 + Safety Indicators + M + D + - + 2 + 3.91 + 5.55 + 3.91 + 6.05 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 3 + Safety Indicators + M + D + - + 2 + 3.91 + 5.47 + 3.91 + 5.32 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 4 + Safety Indicators + M + D + - + 2 + 3.91 + 5.87 + 3.91 + 7.02 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 5 + Safety Indicators + M + D + - + 2 + 3.91 + 5.73 + 3.91 + 5.20 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 6 + Safety Indicators + M + D + - + 2 + 3.91 + 5.97 + 3.91 + 7.08 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 7 + Safety Indicators + M + D + - + 2 + 3.91 + 5.98 + 3.91 + 6.05 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 8 + Safety Indicators + M + D + - + 2 + 3.91 + 6.15 + 3.91 + 7.28 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 9 + Safety Indicators + M + D + - + 2 + 3.91 + 6.21 + 3.91 + 6.70 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 10 + Safety Indicators + M + D + - + 2 + 3.91 + 6.16 + 3.91 + 5.68 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 11 + Safety Indicators + M + D + - + 2 + 3.91 + 6.29 + 3.91 + 7.77 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 12 + Safety Indicators + M + D + - + 2 + 3.91 + 6.30 + 3.91 + 6.37 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 5.43 + 7.38 + 5.43 + 7.38 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 5.43 + 6.76 + 5.43 + 6.08 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 5.43 + 5.88 + 5.43 + 4.28 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 5.43 + 5.86 + 5.43 + 5.82 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 5.43 + 5.69 + 5.43 + 5.00 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 5.43 + 5.75 + 5.43 + 6.02 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 5.43 + 5.96 + 5.43 + 7.14 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 5.43 + 5.93 + 5.43 + 5.73 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 5.43 + 6.04 + 5.43 + 6.92 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 5.43 + 5.95 + 5.43 + 5.14 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 5.43 + 5.87 + 5.43 + 5.05 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 5.43 + 5.96 + 5.43 + 6.85 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 5.22 + 4.96 + 5.22 + 4.96 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 5.22 + 5.39 + 5.22 + 5.85 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 5.22 + 5.45 + 5.22 + 5.57 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 5.22 + 5.42 + 5.22 + 5.34 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 5.22 + 5.38 + 5.22 + 5.19 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 5.22 + 5.55 + 5.22 + 6.32 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 5.22 + 5.69 + 5.22 + 6.49 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 5.22 + 5.54 + 5.22 + 4.50 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 5.22 + 5.59 + 5.22 + 6.00 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 5.22 + 5.50 + 5.22 + 4.70 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 5.22 + 5.36 + 5.22 + 3.96 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 5.22 + 5.33 + 5.22 + 5.01 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 1 + Safety Indicators + M + D + - + 2 + 5.22 + 7.81 + 5.22 + 7.81 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 2 + Safety Indicators + M + D + - + 2 + 5.22 + 6.91 + 5.22 + 6.00 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 3 + Safety Indicators + M + D + - + 2 + 5.22 + 6.18 + 5.22 + 4.98 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 4 + Safety Indicators + M + D + - + 2 + 5.22 + 5.71 + 5.22 + 4.36 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 5 + Safety Indicators + M + D + - + 2 + 5.22 + 5.63 + 5.22 + 5.34 + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 6 + Safety Indicators + M + D + - + 2 + 5.22 + + 5.22 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 7 + Safety Indicators + M + D + - + 2 + 5.22 + + 5.22 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 8 + Safety Indicators + M + D + - + 2 + 5.22 + + 5.22 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 9 + Safety Indicators + M + D + - + 2 + 5.22 + + 5.22 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 10 + Safety Indicators + M + D + - + 2 + 5.22 + + 5.22 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 11 + Safety Indicators + M + D + - + 2 + 5.22 + + 5.22 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 12 + Safety Indicators + M + D + - + 2 + 5.22 + + 5.22 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2014 + 1 + Safety Indicators + M + D + - + 2 + + + + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2014 + 2 + Safety Indicators + M + D + - + 2 + 555.00 + + 555.00 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2014 + 3 + Safety Indicators + M + D + - + 2 + 555.00 + + 555.00 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2014 + 4 + Safety Indicators + M + D + - + 2 + 555.00 + + 555.00 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2014 + 5 + Safety Indicators + M + D + - + 2 + 555.00 + + 555.00 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2014 + 6 + Safety Indicators + M + D + - + 2 + 555.00 + + 555.00 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2014 + 7 + Safety Indicators + M + D + - + 2 + 555.00 + + 555.00 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2014 + 8 + Safety Indicators + M + D + - + 2 + 555.00 + + 555.00 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2014 + 9 + Safety Indicators + M + D + - + 2 + 555.00 + + 555.00 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2014 + 10 + Safety Indicators + M + D + - + 2 + 555.00 + + 555.00 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2014 + 11 + Safety Indicators + M + D + - + 2 + 555.00 + + 555.00 + + + + 20420 + + Long Island Rail Road + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2014 + 12 + Safety Indicators + M + D + - + 2 + 555.00 + + 555.00 + + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 1 + Service Indicators + M + U + % + 1 + + 96.60 + + 96.60 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 2 + Service Indicators + M + U + % + 1 + + 95.90 + + 95.20 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 3 + Service Indicators + M + U + % + 1 + + 95.40 + + 94.40 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 4 + Service Indicators + M + U + % + 1 + + 95.50 + + 96.00 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 5 + Service Indicators + M + U + % + 1 + + 95.60 + + 96.00 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 6 + Service Indicators + M + U + % + 1 + + 95.60 + + 95.20 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 7 + Service Indicators + M + U + % + 1 + + 95.40 + + 94.20 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 8 + Service Indicators + M + U + % + 1 + + 95.40 + + 95.50 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 9 + Service Indicators + M + U + % + 1 + + 95.40 + + 95.20 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 10 + Service Indicators + M + U + % + 1 + + 95.30 + + 95.00 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 11 + Service Indicators + M + U + % + 1 + + 95.10 + + 92.60 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 12 + Service Indicators + M + U + % + 1 + + 95.10 + + 95.50 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 96.10 + + 96.10 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 95.90 + + 95.60 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 95.20 + + 94.00 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 95.60 + + 96.70 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 95.80 + + 96.60 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 95.70 + + 95.40 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 95.60 + + 94.60 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 95.60 + + 95.80 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 95.60 + + 95.60 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 95.50 + + 95.20 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 95.50 + + 95.30 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 95.20 + + 91.90 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 96.90 + 95.10 + 96.90 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 95.40 + 95.10 + 93.80 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 94.30 + 95.10 + 92.40 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 93.60 + 95.10 + 91.50 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 93.60 + 95.10 + 93.50 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.10 + 93.40 + 95.10 + 92.20 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.10 + 93.10 + 95.10 + 91.90 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.10 + 92.40 + 95.10 + 87.30 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.10 + 92.40 + 95.10 + 92.40 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.10 + 92.50 + 95.10 + 93.60 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.10 + 92.60 + 95.10 + 94.30 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.10 + 92.80 + 95.10 + 92.20 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 89.30 + 95.10 + 89.30 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 92.00 + 95.10 + 95.10 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 93.30 + 95.10 + 95.60 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 94.00 + 95.10 + 95.90 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 94.00 + 95.10 + 94.00 + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 20421 + + Long Island Rail Road + On-Time Performance + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 1 + Service Indicators + M + U + % + 1 + + 97.00 + + 97.00 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 2 + Service Indicators + M + U + % + 1 + + 96.20 + + 95.40 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 3 + Service Indicators + M + U + % + 1 + + 95.80 + + 95.00 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 4 + Service Indicators + M + U + % + 1 + + 96.20 + + 97.20 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 5 + Service Indicators + M + U + % + 1 + + 96.10 + + 95.80 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 6 + Service Indicators + M + U + % + 1 + + 96.10 + + 95.90 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 7 + Service Indicators + M + U + % + 1 + + 95.80 + + 94.20 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 8 + Service Indicators + M + U + % + 1 + + 95.70 + + 95.30 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 9 + Service Indicators + M + U + % + 1 + + 95.60 + + 95.00 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 10 + Service Indicators + M + U + % + 1 + + 95.60 + + 95.00 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 11 + Service Indicators + M + U + % + 1 + + 95.20 + + 91.80 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 12 + Service Indicators + M + U + % + 1 + + 95.30 + + 95.40 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 95.80 + + 95.80 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 95.40 + + 95.10 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 94.60 + + 92.90 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 94.90 + + 96.00 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 95.30 + + 96.70 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 95.20 + + 95.00 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 95.10 + + 94.40 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 95.20 + + 95.70 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 95.20 + + 95.60 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 95.20 + + 95.00 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 95.10 + + 94.50 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 94.80 + + 91.40 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 96.10 + 95.10 + 96.10 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 94.80 + 95.10 + 93.40 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 93.70 + 95.10 + 91.70 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 92.90 + 95.10 + 90.60 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 92.80 + 95.10 + 92.30 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.10 + 92.60 + 95.10 + 91.60 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.10 + 92.30 + 95.10 + 90.70 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.10 + 91.30 + 95.10 + 84.10 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.10 + 91.30 + 95.10 + 92.00 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.10 + 91.40 + 95.10 + 92.30 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.10 + 91.60 + 95.10 + 93.40 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.10 + 91.70 + 95.10 + 91.40 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 88.20 + 95.10 + 88.20 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 91.40 + 95.10 + 95.00 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 92.70 + 95.10 + 95.10 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 93.70 + 95.10 + 96.40 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 93.70 + 95.10 + 94.00 + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373902 + 20421 + Long Island Rail Road + Babylon Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 1 + Service Indicators + M + U + % + 1 + + 98.50 + + 98.50 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 2 + Service Indicators + M + U + % + 1 + + 98.00 + + 97.40 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 3 + Service Indicators + M + U + % + 1 + + 97.60 + + 97.00 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 4 + Service Indicators + M + U + % + 1 + + 97.70 + + 97.80 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 5 + Service Indicators + M + U + % + 1 + + 97.70 + + 97.80 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 6 + Service Indicators + M + U + % + 1 + + 97.70 + + 97.70 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 7 + Service Indicators + M + U + % + 1 + + 97.80 + + 98.40 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 8 + Service Indicators + M + U + % + 1 + + 97.90 + + 98.80 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 9 + Service Indicators + M + U + % + 1 + + 97.90 + + 97.50 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 10 + Service Indicators + M + U + % + 1 + + 97.90 + + 98.20 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 11 + Service Indicators + M + U + % + 1 + + 97.70 + + 95.20 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 12 + Service Indicators + M + U + % + 1 + + 97.80 + + 98.50 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 99.20 + + 99.20 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 98.40 + + 97.50 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 97.60 + + 96.10 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 97.80 + + 98.50 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 98.00 + + 98.70 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 98.10 + + 98.50 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 98.10 + + 98.00 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 98.10 + + 98.00 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 98.10 + + 98.30 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 98.10 + + 98.10 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 98.10 + + 98.60 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 98.00 + + 96.30 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 99.00 + 95.10 + 99.00 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 98.40 + 95.10 + 97.60 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 96.60 + 95.10 + 93.30 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 96.50 + 95.10 + 96.50 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 96.80 + 95.10 + 97.90 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.10 + 96.90 + 95.10 + 97.40 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.10 + 96.80 + 95.10 + 96.30 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.10 + 96.00 + 95.10 + 90.70 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.10 + 96.10 + 95.10 + 96.40 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.10 + 96.00 + 95.10 + 95.00 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.10 + 96.20 + 95.10 + 98.30 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.10 + 96.30 + 95.10 + 95.60 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 94.60 + 95.10 + 94.60 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 95.90 + 95.10 + 97.40 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 96.70 + 95.10 + 98.00 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 97.00 + 95.10 + 98.00 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 97.10 + 95.10 + 97.20 + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373903 + 20421 + Long Island Rail Road + Far Rockaway Branch OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 1 + Service Indicators + M + U + % + 1 + + 94.80 + + 94.80 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 2 + Service Indicators + M + U + % + 1 + + 94.60 + + 94.30 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 3 + Service Indicators + M + U + % + 1 + + 94.10 + + 93.30 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 4 + Service Indicators + M + U + % + 1 + + 94.40 + + 95.20 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 5 + Service Indicators + M + U + % + 1 + + 94.60 + + 95.60 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 6 + Service Indicators + M + U + % + 1 + + 94.80 + + 95.40 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 7 + Service Indicators + M + U + % + 1 + + 94.90 + + 95.50 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 8 + Service Indicators + M + U + % + 1 + + 95.10 + + 96.60 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 9 + Service Indicators + M + U + % + 1 + + 95.00 + + 94.70 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 10 + Service Indicators + M + U + % + 1 + + 94.80 + + 93.10 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 11 + Service Indicators + M + U + % + 1 + + 94.60 + + 92.10 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 12 + Service Indicators + M + U + % + 1 + + 94.50 + + 93.60 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 96.30 + + 96.30 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 95.40 + + 94.50 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 94.90 + + 93.80 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 95.30 + + 96.60 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 95.40 + + 95.70 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 95.10 + + 93.70 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 94.80 + + 93.40 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 94.90 + + 94.90 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 94.90 + + 95.10 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 94.80 + + 93.80 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 94.80 + + 95.10 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 94.40 + + 90.20 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 96.40 + 95.10 + 96.40 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 94.70 + 95.10 + 92.80 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 92.60 + 95.10 + 88.70 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 92.00 + 95.10 + 89.80 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 92.20 + 95.10 + 93.30 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.10 + 91.90 + 95.10 + 90.20 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.10 + 91.80 + 95.10 + 91.00 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.10 + 90.90 + 95.10 + 85.10 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.10 + 90.90 + 95.10 + 91.00 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.10 + 91.10 + 95.10 + 92.70 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.10 + 91.40 + 95.10 + 94.30 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.10 + 91.50 + 95.10 + 91.50 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 87.20 + 95.10 + 87.20 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 90.40 + 95.10 + 94.00 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 91.90 + 95.10 + 94.80 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 92.70 + 95.10 + 95.20 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 92.70 + 95.10 + 92.70 + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373904 + 20421 + Long Island Rail Road + Hicksville/Huntington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 1 + Service Indicators + M + U + % + 1 + + 97.70 + + 97.70 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 2 + Service Indicators + M + U + % + 1 + + 97.40 + + 97.10 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 3 + Service Indicators + M + U + % + 1 + + 96.80 + + 95.60 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 4 + Service Indicators + M + U + % + 1 + + 96.70 + + 96.40 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 5 + Service Indicators + M + U + % + 1 + + 96.70 + + 96.80 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 6 + Service Indicators + M + U + % + 1 + + 96.90 + + 97.90 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 7 + Service Indicators + M + U + % + 1 + + 97.10 + + 97.80 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 8 + Service Indicators + M + U + % + 1 + + 97.20 + + 98.20 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 9 + Service Indicators + M + U + % + 1 + + 97.20 + + 97.60 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 10 + Service Indicators + M + U + % + 1 + + 97.20 + + 96.90 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 11 + Service Indicators + M + U + % + 1 + + 96.90 + + 94.20 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 12 + Service Indicators + M + U + % + 1 + + 96.90 + + 96.60 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 96.30 + + 96.30 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 96.70 + + 97.10 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 96.30 + + 95.60 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 96.80 + + 98.30 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 97.00 + + 97.60 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 97.10 + + 97.80 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 97.20 + + 97.60 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 97.30 + + 97.80 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 97.30 + + 98.10 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 97.40 + + 97.40 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 97.40 + + 98.00 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 97.30 + + 95.70 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 98.50 + 95.10 + 98.50 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 97.50 + 95.10 + 96.40 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 97.00 + 95.10 + 96.20 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 96.50 + 95.10 + 95.10 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 96.50 + 95.10 + 96.20 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.10 + 96.50 + 95.10 + 96.80 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.10 + 96.40 + 95.10 + 95.50 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.10 + 95.60 + 95.10 + 90.50 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.10 + 95.70 + 95.10 + 96.00 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.10 + 95.60 + 95.10 + 95.20 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.10 + 95.70 + 95.10 + 96.60 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.10 + 95.90 + 95.10 + 96.00 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 93.40 + 95.10 + 93.40 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 95.30 + 95.10 + 97.50 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 96.30 + 95.10 + 98.00 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 96.70 + 95.10 + 98.00 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 96.90 + 95.10 + 97.40 + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373905 + 20421 + Long Island Rail Road + Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 1 + Service Indicators + M + U + % + 1 + + 98.10 + + 98.10 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 2 + Service Indicators + M + U + % + 1 + + 97.10 + + 96.10 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 3 + Service Indicators + M + U + % + 1 + + 96.40 + + 94.90 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 4 + Service Indicators + M + U + % + 1 + + 96.50 + + 96.90 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 5 + Service Indicators + M + U + % + 1 + + 96.70 + + 97.40 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 6 + Service Indicators + M + U + % + 1 + + 96.60 + + 95.80 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 7 + Service Indicators + M + U + % + 1 + + 96.40 + + 95.30 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 8 + Service Indicators + M + U + % + 1 + + 96.40 + + 96.70 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 9 + Service Indicators + M + U + % + 1 + + 96.50 + + 96.90 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 10 + Service Indicators + M + U + % + 1 + + 96.50 + + 97.10 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 11 + Service Indicators + M + U + % + 1 + + 96.30 + + 93.70 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 12 + Service Indicators + M + U + % + 1 + + 96.40 + + 97.70 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 97.60 + + 97.60 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 97.60 + + 97.60 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 96.80 + + 95.10 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 96.90 + + 97.30 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 97.10 + + 97.90 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 97.00 + + 96.60 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 96.80 + + 95.60 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 96.70 + + 96.30 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 96.50 + + 94.90 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 96.60 + + 97.40 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 96.60 + + 96.70 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 96.40 + + 93.80 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 98.10 + 95.10 + 98.10 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 97.10 + 95.10 + 96.10 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 96.30 + 95.10 + 94.80 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 95.40 + 95.10 + 92.90 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 95.70 + 95.10 + 96.60 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.10 + 95.60 + 95.10 + 95.50 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.10 + 95.60 + 95.10 + 95.70 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.10 + 94.80 + 95.10 + 89.40 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.10 + 94.90 + 95.10 + 95.60 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.10 + 95.10 + 95.10 + 96.50 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.10 + 95.30 + 95.10 + 98.00 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.10 + 95.40 + 95.10 + 95.20 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 93.20 + 95.10 + 93.20 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 95.10 + 95.10 + 97.30 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 95.70 + 95.10 + 96.70 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 96.30 + 95.10 + 98.00 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 96.20 + 95.10 + 96.00 + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373906 + 20421 + Long Island Rail Road + Long Beach Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 1 + Service Indicators + M + U + % + 1 + + 96.50 + + 96.50 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 2 + Service Indicators + M + U + % + 1 + + 95.40 + + 94.20 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 3 + Service Indicators + M + U + % + 1 + + 94.60 + + 93.00 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 4 + Service Indicators + M + U + % + 1 + + 95.00 + + 96.40 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 5 + Service Indicators + M + U + % + 1 + + 95.10 + + 95.30 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 6 + Service Indicators + M + U + % + 1 + + 94.60 + + 92.30 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 7 + Service Indicators + M + U + % + 1 + + 94.00 + + 90.20 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 8 + Service Indicators + M + U + % + 1 + + 93.90 + + 93.10 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 9 + Service Indicators + M + U + % + 1 + + 93.90 + + 94.10 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 10 + Service Indicators + M + U + % + 1 + + 94.00 + + 94.40 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 11 + Service Indicators + M + U + % + 1 + + 93.60 + + 89.90 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 12 + Service Indicators + M + U + % + 1 + + 93.70 + + 94.50 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 95.60 + + 95.60 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 95.40 + + 95.20 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 94.10 + + 91.60 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 94.20 + + 94.40 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 94.00 + + 93.30 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 94.10 + + 94.70 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 93.40 + + 89.50 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 93.00 + + 90.50 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 93.10 + + 93.50 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 92.90 + + 91.40 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 92.70 + + 89.80 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 92.30 + + 87.90 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 96.40 + 95.10 + 96.40 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 94.60 + 95.10 + 92.70 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 93.00 + 95.10 + 90.00 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 90.50 + 95.10 + 82.40 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 90.60 + 95.10 + 90.90 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.10 + 90.40 + 95.10 + 89.80 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.10 + 89.90 + 95.10 + 87.10 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.10 + 89.00 + 95.10 + 83.00 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.10 + 88.80 + 95.10 + 87.40 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.10 + 89.10 + 95.10 + 91.40 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.10 + 89.00 + 95.10 + 88.50 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.10 + 89.40 + 95.10 + 93.00 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 84.30 + 95.10 + 84.30 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 88.80 + 95.10 + 93.60 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 89.90 + 95.10 + 92.20 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 89.90 + 95.10 + 90.10 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 89.50 + 95.10 + 87.70 + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373907 + 20421 + Long Island Rail Road + Montauk Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 1 + Service Indicators + M + U + % + 1 + + 95.70 + + 95.70 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 2 + Service Indicators + M + U + % + 1 + + 94.60 + + 93.40 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 3 + Service Indicators + M + U + % + 1 + + 93.90 + + 92.60 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 4 + Service Indicators + M + U + % + 1 + + 93.90 + + 94.00 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 5 + Service Indicators + M + U + % + 1 + + 94.30 + + 95.80 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 6 + Service Indicators + M + U + % + 1 + + 94.30 + + 94.40 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 7 + Service Indicators + M + U + % + 1 + + 94.40 + + 94.70 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 8 + Service Indicators + M + U + % + 1 + + 94.40 + + 94.40 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 9 + Service Indicators + M + U + % + 1 + + 94.20 + + 92.80 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 10 + Service Indicators + M + U + % + 1 + + 94.00 + + 91.80 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 11 + Service Indicators + M + U + % + 1 + + 93.50 + + 88.40 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 12 + Service Indicators + M + U + % + 1 + + 93.70 + + 95.80 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 95.30 + + 95.30 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 94.60 + + 93.70 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 94.60 + + 94.60 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 95.20 + + 96.90 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 95.50 + + 96.50 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 95.40 + + 95.20 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 95.40 + + 95.40 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 95.50 + + 96.30 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 95.50 + + 95.10 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 95.30 + + 93.60 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 95.30 + + 95.10 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 94.90 + + 90.90 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 97.30 + 95.10 + 97.30 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 94.50 + 95.10 + 91.40 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 94.10 + 95.10 + 93.30 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 94.10 + 95.10 + 94.10 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 94.50 + 95.10 + 96.00 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.10 + 94.30 + 95.10 + 93.40 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.10 + 94.30 + 95.10 + 94.70 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.10 + 93.20 + 95.10 + 85.60 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.10 + 93.10 + 95.10 + 92.00 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.10 + 93.00 + 95.10 + 92.70 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.10 + 93.10 + 95.10 + 93.80 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.10 + 93.30 + 95.10 + 92.00 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 86.50 + 95.10 + 86.50 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 89.20 + 95.10 + 92.30 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 92.00 + 95.10 + 96.90 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 93.50 + 95.10 + 97.90 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 93.70 + 95.10 + 94.60 + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373908 + 20421 + Long Island Rail Road + Oyster Bay Branch - OTP + The percentage of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 1 + Service Indicators + M + U + % + 1 + + 93.80 + + 93.80 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 2 + Service Indicators + M + U + % + 1 + + 92.60 + + 91.40 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 3 + Service Indicators + M + U + % + 1 + + 92.00 + + 90.80 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 4 + Service Indicators + M + U + % + 1 + + 92.50 + + 94.10 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 5 + Service Indicators + M + U + % + 1 + + 92.50 + + 92.60 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 6 + Service Indicators + M + U + % + 1 + + 91.90 + + 88.90 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 7 + Service Indicators + M + U + % + 1 + + 91.50 + + 88.80 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 8 + Service Indicators + M + U + % + 1 + + 91.50 + + 91.70 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 9 + Service Indicators + M + U + % + 1 + + 91.80 + + 93.90 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 10 + Service Indicators + M + U + % + 1 + + 91.80 + + 92.60 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 11 + Service Indicators + M + U + % + 1 + + 91.40 + + 86.70 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 12 + Service Indicators + M + U + % + 1 + + 91.10 + + 88.70 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 94.00 + + 94.00 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 93.50 + + 93.10 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 92.50 + + 90.40 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 93.10 + + 95.10 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 93.60 + + 95.50 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 93.70 + + 94.00 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 93.50 + + 92.60 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 93.90 + + 96.30 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 94.00 + + 94.90 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 93.90 + + 93.60 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 93.80 + + 92.60 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 93.40 + + 89.00 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 94.20 + 95.10 + 94.20 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 91.50 + 95.10 + 88.60 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 91.10 + 95.10 + 90.50 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 90.90 + 95.10 + 90.20 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 90.90 + 95.10 + 91.10 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.10 + 90.90 + 95.10 + 90.80 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.10 + 90.40 + 95.10 + 87.60 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.10 + 89.60 + 95.10 + 83.70 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.10 + 89.70 + 95.10 + 90.60 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.10 + 89.90 + 95.10 + 92.30 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.10 + 90.00 + 95.10 + 90.40 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.10 + 90.10 + 95.10 + 90.30 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 81.70 + 95.10 + 81.70 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 85.70 + 95.10 + 90.00 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 88.50 + 95.10 + 93.70 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 89.40 + 95.10 + 92.00 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 89.80 + 95.10 + 91.50 + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373909 + 20421 + Long Island Rail Road + Port Jefferson Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 1 + Service Indicators + M + U + % + 1 + + 97.10 + + 97.10 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 2 + Service Indicators + M + U + % + 1 + + 96.80 + + 96.40 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 3 + Service Indicators + M + U + % + 1 + + 96.30 + + 95.10 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 4 + Service Indicators + M + U + % + 1 + + 96.10 + + 95.50 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 5 + Service Indicators + M + U + % + 1 + + 96.00 + + 95.70 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 6 + Service Indicators + M + U + % + 1 + + 96.00 + + 95.90 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 7 + Service Indicators + M + U + % + 1 + + 95.60 + + 93.30 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 8 + Service Indicators + M + U + % + 1 + + 95.50 + + 94.90 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 9 + Service Indicators + M + U + % + 1 + + 95.40 + + 94.40 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 10 + Service Indicators + M + U + % + 1 + + 95.50 + + 96.60 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 11 + Service Indicators + M + U + % + 1 + + 95.70 + + 97.20 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 12 + Service Indicators + M + U + % + 1 + + 95.80 + + 97.40 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 98.50 + + 98.50 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 97.70 + + 96.70 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 97.00 + + 95.80 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 97.00 + + 96.90 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 97.20 + + 98.20 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 96.90 + + 95.20 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 96.60 + + 94.90 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 96.50 + + 95.70 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 96.30 + + 94.90 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 96.30 + + 96.30 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 96.40 + + 97.10 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 96.10 + + 93.60 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 97.20 + 95.10 + 97.20 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 95.60 + 95.10 + 93.80 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 95.40 + 95.10 + 95.20 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 94.60 + 95.10 + 91.90 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 94.00 + 95.10 + 91.70 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.10 + 92.80 + 95.10 + 87.30 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.10 + 92.50 + 95.10 + 90.30 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.10 + 92.70 + 95.10 + 94.30 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.10 + 92.50 + 95.10 + 90.60 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.10 + 92.70 + 95.10 + 94.80 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.10 + 92.80 + 95.10 + 94.20 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.10 + 92.90 + 95.10 + 94.30 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 92.90 + 95.10 + 92.90 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 94.40 + 95.10 + 96.20 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 95.50 + 95.10 + 97.30 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 95.70 + 95.10 + 96.40 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 95.70 + 95.10 + 95.60 + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373910 + 20421 + Long Island Rail Road + Port Washington Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 1 + Service Indicators + M + U + % + 1 + + 94.30 + + 94.30 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 2 + Service Indicators + M + U + % + 1 + + 93.80 + + 93.20 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 3 + Service Indicators + M + U + % + 1 + + 93.40 + + 92.60 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 4 + Service Indicators + M + U + % + 1 + + 93.40 + + 93.60 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 5 + Service Indicators + M + U + % + 1 + + 93.70 + + 94.70 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 6 + Service Indicators + M + U + % + 1 + + 93.50 + + 92.40 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 7 + Service Indicators + M + U + % + 1 + + 93.30 + + 91.90 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 8 + Service Indicators + M + U + % + 1 + + 93.30 + + 93.30 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 9 + Service Indicators + M + U + % + 1 + + 93.30 + + 93.40 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 10 + Service Indicators + M + U + % + 1 + + 93.10 + + 91.70 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 11 + Service Indicators + M + U + % + 1 + + 92.80 + + 89.20 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 12 + Service Indicators + M + U + % + 1 + + 92.80 + + 93.40 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 90.30 + + 90.30 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 91.70 + + 93.20 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 92.10 + + 92.70 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 93.00 + + 95.80 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 93.30 + + 94.20 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 93.20 + + 93.00 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 93.10 + + 92.30 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 93.30 + + 95.10 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 93.50 + + 94.60 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 93.30 + + 91.90 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 93.30 + + 92.70 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 92.70 + + 86.80 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 95.00 + 95.10 + 95.00 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 93.00 + 95.10 + 90.90 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 91.40 + 95.10 + 88.50 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 90.90 + 95.10 + 89.40 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 90.90 + 95.10 + 90.90 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.10 + 90.90 + 95.10 + 90.60 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.10 + 90.70 + 95.10 + 89.90 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.10 + 90.40 + 95.10 + 87.90 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.10 + 90.40 + 95.10 + 90.70 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.10 + 90.50 + 95.10 + 91.80 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.10 + 90.70 + 95.10 + 92.30 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.10 + 90.20 + 95.10 + 83.80 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 86.00 + 95.10 + 86.00 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 89.50 + 95.10 + 93.40 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 90.50 + 95.10 + 92.40 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 91.40 + 95.10 + 94.10 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 91.40 + 95.10 + 91.50 + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373911 + 20421 + Long Island Rail Road + Greenport/Ronkonkoma Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 1 + Service Indicators + M + U + % + 1 + + 98.20 + + 98.20 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 2 + Service Indicators + M + U + % + 1 + + 97.40 + + 96.60 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 3 + Service Indicators + M + U + % + 1 + + 97.30 + + 97.20 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 4 + Service Indicators + M + U + % + 1 + + 97.30 + + 97.40 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 5 + Service Indicators + M + U + % + 1 + + 97.60 + + 98.40 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 6 + Service Indicators + M + U + % + 1 + + 97.60 + + 98.10 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 7 + Service Indicators + M + U + % + 1 + + 97.50 + + 96.70 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 8 + Service Indicators + M + U + % + 1 + + 97.60 + + 98.30 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 9 + Service Indicators + M + U + % + 1 + + 97.60 + + 97.70 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 10 + Service Indicators + M + U + % + 1 + + 97.60 + + 96.90 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 11 + Service Indicators + M + U + % + 1 + + 97.40 + + 96.40 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2008 + 12 + Service Indicators + M + U + % + 1 + + 97.50 + + 98.30 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 97.90 + + 97.90 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 98.00 + + 98.20 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 97.20 + + 95.40 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 97.60 + + 98.60 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 97.70 + + 98.10 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 97.80 + + 98.30 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 97.80 + + 97.80 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 97.80 + + 98.00 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 97.80 + + 97.70 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 97.80 + + 97.80 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 97.80 + + 97.30 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 97.70 + + 97.10 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 98.70 + 95.10 + 98.70 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 98.30 + 95.10 + 97.80 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 98.00 + 95.10 + 97.40 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 97.50 + 95.10 + 96.10 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 97.20 + 95.10 + 96.20 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.10 + 97.30 + 95.10 + 97.80 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.10 + 97.10 + 95.10 + 95.80 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.10 + 94.60 + 95.10 + 77.60 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.10 + 94.80 + 95.10 + 96.40 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.10 + 95.10 + 95.10 + 98.30 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.10 + 95.30 + 95.10 + 97.90 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.10 + 96.20 + 95.10 + 95.40 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.10 + 92.50 + 95.10 + 92.50 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.10 + 95.10 + 95.10 + 97.90 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.10 + 96.20 + 95.10 + 98.10 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.10 + 96.50 + 95.10 + 97.50 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.10 + 96.30 + 95.10 + 95.50 + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 373912 + 20421 + Long Island Rail Road + West Hempstead Branch - OTP + The percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the schedule. Individual branch-line targets are not currently calculated. However, the LIRR expects to acheive a system-wide on-time performance target of at least 95%. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.10 + + 95.10 + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2008 + 1 + Service Indicators + M + U + - + 0 + 100,000.00 + 130,248.00 + 100,000.00 + 130,248.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2008 + 2 + Service Indicators + M + U + - + 0 + 100,000.00 + 107,507.00 + 100,000.00 + 90,624.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2008 + 3 + Service Indicators + M + U + - + 0 + 100,000.00 + 111,579.00 + 100,000.00 + 120,413.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2008 + 4 + Service Indicators + M + U + - + 0 + 100,000.00 + 115,099.00 + 100,000.00 + 126,927.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2008 + 5 + Service Indicators + M + U + - + 0 + 100,000.00 + 121,686.00 + 100,000.00 + 156,712.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2008 + 6 + Service Indicators + M + U + - + 0 + 100,000.00 + 124,327.00 + 100,000.00 + 139,529.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2008 + 7 + Service Indicators + M + U + - + 0 + 100,000.00 + 125,312.00 + 100,000.00 + 131,423.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2008 + 8 + Service Indicators + M + U + - + 0 + 100,000.00 + 128,679.00 + 100,000.00 + 158,385.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2008 + 9 + Service Indicators + M + U + - + 0 + 100,000.00 + 129,129.00 + 100,000.00 + 132,893.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2008 + 10 + Service Indicators + M + U + - + 0 + 100,000.00 + 132,886.00 + 100,000.00 + 177,564.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2008 + 11 + Service Indicators + M + U + - + 0 + 100,000.00 + 132,452.00 + 100,000.00 + 128,050.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2008 + 12 + Service Indicators + M + U + - + 0 + 100,000.00 + 132,203.00 + 100,000.00 + 129,592.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2009 + 1 + Service Indicators + M + U + - + 0 + 105,000.00 + 130,887.00 + 105,000.00 + 130,887.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2009 + 2 + Service Indicators + M + U + - + 0 + 105,000.00 + 119,132.00 + 105,000.00 + 108,487.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2009 + 3 + Service Indicators + M + U + - + 0 + 105,000.00 + 119,722.00 + 105,000.00 + 120,846.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2009 + 4 + Service Indicators + M + U + - + 0 + 105,000.00 + 126,286.00 + 105,000.00 + 150,354.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2009 + 5 + Service Indicators + M + U + - + 0 + 105,000.00 + 131,973.00 + 105,000.00 + 160,553.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2009 + 6 + Service Indicators + M + U + - + 0 + 105,000.00 + 131,670.00 + 105,000.00 + 130,246.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2009 + 7 + Service Indicators + M + U + - + 0 + 105,000.00 + 133,034.00 + 105,000.00 + 141,309.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2009 + 8 + Service Indicators + M + U + - + 0 + 105,000.00 + 136,782.00 + 105,000.00 + 169,521.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2009 + 9 + Service Indicators + M + U + - + 0 + 105,000.00 + 138,776.00 + 105,000.00 + 157,224.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2009 + 10 + Service Indicators + M + U + - + 0 + 105,000.00 + 142,388.00 + 105,000.00 + 184,696.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2009 + 11 + Service Indicators + M + U + - + 0 + 105,000.00 + 146,075.00 + 105,000.00 + 198,999.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2009 + 12 + Service Indicators + M + U + - + 0 + 105,000.00 + 145,703.00 + 105,000.00 + 141,863.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2010 + 1 + Service Indicators + M + U + - + 0 + 110,000.00 + 159,257.00 + 110,000.00 + 159,257.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2010 + 2 + Service Indicators + M + U + - + 0 + 110,000.00 + 157,792.00 + 110,000.00 + 156,249.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2010 + 3 + Service Indicators + M + U + - + 0 + 110,000.00 + 168,416.00 + 110,000.00 + 192,163.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2010 + 4 + Service Indicators + M + U + - + 0 + 110,000.00 + 157,018.00 + 110,000.00 + 130,898.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2010 + 5 + Service Indicators + M + U + - + 0 + 110,000.00 + 158,580.00 + 110,000.00 + 165,077.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2010 + 6 + Service Indicators + M + U + - + 0 + 110,000.00 + 158,667.00 + 110,000.00 + 159,091.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2010 + 7 + Service Indicators + M + U + - + 0 + 110,000.00 + 154,512.00 + 110,000.00 + 134,085.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2010 + 8 + Service Indicators + M + U + - + 0 + 110,000.00 + 152,129.00 + 110,000.00 + 137,413.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2010 + 9 + Service Indicators + M + U + - + 0 + 110,000.00 + 150,681.00 + 110,000.00 + 139,823.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2010 + 10 + Service Indicators + M + U + - + 0 + 110,000.00 + 151,513.00 + 110,000.00 + 159,700.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2010 + 11 + Service Indicators + M + U + - + 0 + 110,000.00 + 149,666.00 + 110,000.00 + 132,759.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2010 + 12 + Service Indicators + M + U + - + 0 + 110,000.00 + 149,651.00 + 110,000.00 + 149,482.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2011 + 1 + Service Indicators + M + U + - + 0 + 150,000.00 + 198,157.00 + 150,000.00 + 198,157.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2011 + 2 + Service Indicators + M + U + - + 0 + 150,000.00 + 167,844.00 + 150,000.00 + 143,749.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2011 + 3 + Service Indicators + M + U + - + 0 + 150,000.00 + 170,715.00 + 150,000.00 + 176,297.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2011 + 4 + Service Indicators + M + U + - + 0 + 150,000.00 + 183,825.00 + 150,000.00 + 239,409.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2011 + 5 + Service Indicators + M + U + - + 0 + 150,000.00 + 182,109.00 + 150,000.00 + 175,687.00 + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2011 + 6 + Service Indicators + M + U + - + 0 + 150,000.00 + + 150,000.00 + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2011 + 7 + Service Indicators + M + U + - + 0 + 150,000.00 + + 150,000.00 + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2011 + 8 + Service Indicators + M + U + - + 0 + 150,000.00 + + 150,000.00 + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2011 + 9 + Service Indicators + M + U + - + 0 + 150,000.00 + + 150,000.00 + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2011 + 10 + Service Indicators + M + U + - + 0 + 150,000.00 + + 150,000.00 + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2011 + 11 + Service Indicators + M + U + - + 0 + 150,000.00 + + 150,000.00 + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2011 + 12 + Service Indicators + M + U + - + 0 + 150,000.00 + + 150,000.00 + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2014 + 1 + Service Indicators + M + U + - + 0 + + + + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2014 + 2 + Service Indicators + M + U + - + 0 + + + + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2014 + 3 + Service Indicators + M + U + - + 0 + + + + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2014 + 4 + Service Indicators + M + U + - + 0 + + + + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2014 + 5 + Service Indicators + M + U + - + 0 + + + + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2014 + 6 + Service Indicators + M + U + - + 0 + + + + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2014 + 7 + Service Indicators + M + U + - + 0 + + + + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2014 + 8 + Service Indicators + M + U + - + 0 + + + + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2014 + 9 + Service Indicators + M + U + - + 0 + + + + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2014 + 10 + Service Indicators + M + U + - + 0 + + + + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2014 + 11 + Service Indicators + M + U + - + 0 + + + + + + + 20439 + 20438 + Long Island Rail Road + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds. + 2014 + 12 + Service Indicators + M + U + - + 0 + + + + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 1 + Service Indicators + M + U + - + 0 + 7,162,457.00 + 7,078,442.00 + 7,162,457.00 + 7,078,442.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 2 + Service Indicators + M + U + - + 0 + 13,854,804.00 + 13,695,354.00 + 6,692,347.00 + 6,616,912.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 3 + Service Indicators + M + U + - + 0 + 21,010,184.00 + 20,844,680.00 + 7,155,380.00 + 7,149,326.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 4 + Service Indicators + M + U + - + 0 + 28,276,023.00 + 28,104,528.00 + 7,265,839.00 + 7,259,848.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 5 + Service Indicators + M + U + - + 0 + 35,432,312.00 + 35,410,626.00 + 7,156,289.00 + 7,306,098.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 6 + Service Indicators + M + U + - + 0 + 42,845,798.00 + 43,040,401.00 + 7,413,486.00 + 7,629,775.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 7 + Service Indicators + M + U + - + 0 + 50,440,375.00 + 50,969,628.00 + 7,594,577.00 + 7,929,227.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 8 + Service Indicators + M + U + - + 0 + 57,857,008.00 + 58,524,826.00 + 7,416,633.00 + 7,555,198.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 9 + Service Indicators + M + U + - + 0 + 65,221,023.00 + 65,842,196.00 + 7,364,015.00 + 7,317,370.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 10 + Service Indicators + M + U + - + 0 + 72,868,486.00 + 73,418,703.00 + 7,647,463.00 + 7,576,507.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 11 + Service Indicators + M + U + - + 0 + 79,685,679.00 + 79,983,782.00 + 6,817,193.00 + 6,565,079.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 12 + Service Indicators + M + U + - + 0 + 87,229,679.00 + 87,358,476.00 + 7,544,000.00 + 7,374,694.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 1 + Service Indicators + M + U + - + 0 + 6,694,107.00 + 6,635,505.00 + 6,694,107.00 + 6,635,505.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 2 + Service Indicators + M + U + - + 0 + 12,871,144.00 + 12,722,143.00 + 6,177,037.00 + 6,086,638.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 3 + Service Indicators + M + U + - + 0 + 20,061,648.00 + 19,729,583.00 + 7,190,504.00 + 7,007,440.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 4 + Service Indicators + M + U + - + 0 + 27,230,996.00 + 26,772,343.00 + 7,169,348.00 + 7,042,760.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 5 + Service Indicators + M + U + - + 0 + 34,259,923.00 + 33,567,080.00 + 7,028,927.00 + 6,794,737.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 6 + Service Indicators + M + U + - + 0 + 41,826,243.00 + 41,045,502.00 + 7,566,320.00 + 7,478,422.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 7 + Service Indicators + M + U + - + 0 + 49,245,410.00 + 48,331,797.00 + 7,419,167.00 + 7,286,295.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 8 + Service Indicators + M + U + - + 0 + 56,490,010.00 + 55,486,145.00 + 7,244,600.00 + 7,154,348.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 9 + Service Indicators + M + U + - + 0 + 63,707,409.00 + 62,418,270.00 + 7,217,399.00 + 6,932,125.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 10 + Service Indicators + M + U + - + 0 + 71,073,328.00 + 69,415,947.00 + 7,365,919.00 + 6,997,677.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 11 + Service Indicators + M + U + - + 0 + 77,920,345.00 + 75,948,619.00 + 6,847,017.00 + 6,532,672.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 12 + Service Indicators + M + U + - + 0 + 85,314,822.00 + 82,950,847.00 + 7,394,477.00 + 7,002,228.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 1 + Service Indicators + M + U + - + 0 + 6,242,814.00 + 6,247,660.00 + 6,242,814.00 + 6,247,660.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 2 + Service Indicators + M + U + - + 0 + 12,179,513.00 + 12,059,212.00 + 5,936,699.00 + 5,811,552.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 3 + Service Indicators + M + U + - + 0 + 19,194,240.00 + 19,066,361.00 + 7,014,727.00 + 7,007,149.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 4 + Service Indicators + M + U + - + 0 + 26,017,041.00 + 25,997,647.00 + 6,822,801.00 + 6,931,286.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 5 + Service Indicators + M + U + - + 0 + 32,687,988.00 + 32,741,411.00 + 6,670,947.00 + 6,743,764.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 6 + Service Indicators + M + U + - + 0 + 39,765,139.00 + 40,021,155.00 + 7,077,151.00 + 7,279,744.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 7 + Service Indicators + M + U + - + 0 + 46,962,506.00 + 47,259,873.00 + 7,197,367.00 + 7,238,718.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 8 + Service Indicators + M + U + - + 0 + 54,195,784.00 + 54,368,538.00 + 7,233,278.00 + 7,108,665.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 9 + Service Indicators + M + U + - + 0 + 61,192,853.00 + 61,202,737.00 + 6,997,069.00 + 6,834,199.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 10 + Service Indicators + M + U + - + 0 + 68,158,956.00 + 68,007,262.00 + 6,966,103.00 + 6,804,525.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 11 + Service Indicators + M + U + - + 0 + 74,947,869.00 + 74,570,611.00 + 6,788,913.00 + 6,563,349.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 12 + Service Indicators + M + U + - + 0 + 82,122,104.00 + 81,555,700.00 + 7,174,235.00 + 6,985,089.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 1 + Service Indicators + M + U + - + 0 + 6,291,184.00 + 5,890,855.00 + 6,291,184.00 + 5,890,855.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 2 + Service Indicators + M + U + - + 0 + 12,262,530.00 + 11,727,346.00 + 5,971,346.00 + 5,836,491.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 3 + Service Indicators + M + U + - + 0 + 19,311,546.00 + 18,758,858.00 + 7,049,016.00 + 7,031,512.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 4 + Service Indicators + M + U + - + 0 + 26,028,494.00 + 25,410,818.00 + 6,716,948.00 + 6,651,960.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 5 + Service Indicators + M + U + - + 0 + 32,885,977.00 + 32,150,030.00 + 6,857,483.00 + 6,739,212.00 + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 6 + Service Indicators + M + U + - + 0 + 40,151,429.00 + + 7,265,452.00 + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 7 + Service Indicators + M + U + - + 0 + 47,121,662.00 + + 6,970,233.00 + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 8 + Service Indicators + M + U + - + 0 + 54,424,108.00 + + 7,302,446.00 + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 9 + Service Indicators + M + U + - + 0 + 61,367,362.00 + + 6,943,254.00 + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 10 + Service Indicators + M + U + - + 0 + 68,259,132.00 + + 6,891,770.00 + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 11 + Service Indicators + M + U + - + 0 + 74,982,106.00 + + 6,722,974.00 + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 12 + Service Indicators + M + U + - + 0 + 81,926,287.00 + + 6,944,181.00 + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2012 + 1 + Service Indicators + M + U + - + 0 + + + + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2012 + 2 + Service Indicators + M + U + - + 0 + + + + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2012 + 3 + Service Indicators + M + U + - + 0 + + + + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2012 + 4 + Service Indicators + M + U + - + 0 + + + + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2012 + 5 + Service Indicators + M + U + - + 0 + + + + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2012 + 6 + Service Indicators + M + U + - + 0 + + + + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2012 + 7 + Service Indicators + M + U + - + 0 + + + + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2012 + 8 + Service Indicators + M + U + - + 0 + + + + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2012 + 9 + Service Indicators + M + U + - + 0 + + + + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2012 + 10 + Service Indicators + M + U + - + 0 + + + + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2012 + 11 + Service Indicators + M + U + - + 0 + + + + + + + 20537 + + Long Island Rail Road + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2012 + 12 + Service Indicators + M + U + - + 0 + + + + + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2008 + 1 + Service Indicators + M + U + % + 1 + 95.00 + 97.48 + 95.00 + 97.48 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2008 + 2 + Service Indicators + M + U + % + 1 + 95.00 + 97.94 + 95.00 + 98.45 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2008 + 3 + Service Indicators + M + U + % + 1 + 95.00 + 98.02 + 95.00 + 98.18 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2008 + 4 + Service Indicators + M + U + % + 1 + 95.00 + 97.92 + 95.00 + 97.61 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2008 + 5 + Service Indicators + M + U + % + 1 + 95.00 + 98.01 + 95.00 + 98.39 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2008 + 6 + Service Indicators + M + U + % + 1 + 95.00 + 97.84 + 95.00 + 96.96 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2008 + 7 + Service Indicators + M + U + % + 1 + 95.00 + 97.81 + 95.00 + 97.62 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2008 + 8 + Service Indicators + M + U + % + 1 + 95.00 + 97.80 + 95.00 + 97.76 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2008 + 9 + Service Indicators + M + U + % + 1 + 95.00 + 97.84 + 95.00 + 98.19 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2008 + 10 + Service Indicators + M + U + % + 1 + 95.00 + 97.81 + 95.00 + 97.55 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2008 + 11 + Service Indicators + M + U + % + 1 + 95.00 + 97.80 + 95.00 + 97.68 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2008 + 12 + Service Indicators + M + U + % + 1 + 95.00 + 97.78 + 95.00 + 97.62 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2009 + 1 + Service Indicators + M + U + % + 1 + 95.00 + 96.25 + 95.00 + 96.25 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2009 + 2 + Service Indicators + M + U + % + 1 + 95.00 + 97.13 + 95.00 + 98.10 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2009 + 3 + Service Indicators + M + U + % + 1 + 95.00 + 97.10 + 95.00 + 97.04 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2009 + 4 + Service Indicators + M + U + % + 1 + 95.00 + 97.18 + 95.00 + 97.40 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2009 + 5 + Service Indicators + M + U + % + 1 + 95.00 + 97.16 + 95.00 + 97.10 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2009 + 6 + Service Indicators + M + U + % + 1 + 95.00 + 97.23 + 95.00 + 97.55 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2009 + 7 + Service Indicators + M + U + % + 1 + 95.00 + 97.28 + 95.00 + 97.56 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2009 + 8 + Service Indicators + M + U + % + 1 + 95.00 + 97.29 + 95.00 + 97.37 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2009 + 9 + Service Indicators + M + U + % + 1 + 95.00 + 97.37 + 95.00 + 98.03 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2009 + 10 + Service Indicators + M + U + % + 1 + 95.00 + 97.40 + 95.00 + 97.20 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2009 + 11 + Service Indicators + M + U + % + 1 + 95.00 + 97.40 + 95.00 + 97.40 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2009 + 12 + Service Indicators + M + U + % + 1 + 95.00 + 97.20 + 95.00 + 95.70 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.00 + 96.70 + 95.00 + 96.70 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.00 + 96.80 + 95.00 + 96.80 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.00 + 96.30 + 95.00 + 95.40 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.00 + 96.80 + 95.00 + 98.20 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.00 + 96.90 + 95.00 + 97.60 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.00 + 97.00 + 95.00 + 97.10 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.00 + 97.00 + 95.00 + 97.20 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.00 + 97.10 + 95.00 + 97.40 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.00 + 97.20 + 95.00 + 98.00 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.00 + 97.20 + 95.00 + 97.40 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.00 + 97.30 + 95.00 + 98.20 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.00 + 97.20 + 95.00 + 96.90 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.00 + 95.90 + 95.00 + 95.90 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.00 + 96.60 + 95.00 + 97.50 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.00 + 97.20 + 95.00 + 98.40 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.00 + 97.40 + 95.00 + 98.10 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.00 + 97.40 + 95.00 + 97.10 + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 373938 + + Long Island Rail Road + Elevator Availability + Percent of the time that elevators are operational systemwide. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2008 + 1 + Service Indicators + M + U + % + 1 + 95.00 + 98.30 + 95.00 + 98.30 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2008 + 2 + Service Indicators + M + U + % + 1 + 95.00 + 97.89 + 95.00 + 97.46 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2008 + 3 + Service Indicators + M + U + % + 1 + 95.00 + 97.69 + 95.00 + 97.28 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2008 + 4 + Service Indicators + M + U + % + 1 + 95.00 + 98.17 + 95.00 + 99.65 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2008 + 5 + Service Indicators + M + U + % + 1 + 95.00 + 97.89 + 95.00 + 96.77 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2008 + 6 + Service Indicators + M + U + % + 1 + 95.00 + 97.83 + 95.00 + 97.54 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2008 + 7 + Service Indicators + M + U + % + 1 + 95.00 + 97.80 + 95.00 + 97.62 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2008 + 8 + Service Indicators + M + U + % + 1 + 95.00 + 97.86 + 95.00 + 98.30 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2008 + 9 + Service Indicators + M + U + % + 1 + 95.00 + 97.81 + 95.00 + 97.37 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2008 + 10 + Service Indicators + M + U + % + 1 + 95.00 + 97.88 + 95.00 + 98.47 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2008 + 11 + Service Indicators + M + U + % + 1 + 95.00 + 98.02 + 95.00 + 99.50 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2008 + 12 + Service Indicators + M + U + % + 1 + 95.00 + 97.86 + 95.00 + 96.10 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2009 + 1 + Service Indicators + M + U + % + 1 + 95.00 + 97.11 + 95.00 + 97.11 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2009 + 2 + Service Indicators + M + U + % + 1 + 95.00 + 97.86 + 95.00 + 98.68 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2009 + 3 + Service Indicators + M + U + % + 1 + 95.00 + 98.19 + 95.00 + 98.81 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2009 + 4 + Service Indicators + M + U + % + 1 + 95.00 + 96.71 + 95.00 + 92.28 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2009 + 5 + Service Indicators + M + U + % + 1 + 95.00 + 95.33 + 95.00 + 89.98 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2009 + 6 + Service Indicators + M + U + % + 1 + 95.00 + 94.16 + 95.00 + 88.25 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2009 + 7 + Service Indicators + M + U + % + 1 + 95.00 + 93.47 + 95.00 + 89.47 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2009 + 8 + Service Indicators + M + U + % + 1 + 95.00 + 93.39 + 95.00 + 92.87 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2009 + 9 + Service Indicators + M + U + % + 1 + 95.00 + 93.50 + 95.00 + 94.40 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2009 + 10 + Service Indicators + M + U + % + 1 + 95.00 + 93.40 + 95.00 + 92.90 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2009 + 11 + Service Indicators + M + U + % + 1 + 95.00 + 93.70 + 95.00 + 96.50 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2009 + 12 + Service Indicators + M + U + % + 1 + 95.00 + 93.90 + 95.00 + 96.40 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.00 + 95.40 + 95.00 + 95.40 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.00 + 96.50 + 95.00 + 97.70 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.00 + 95.90 + 95.00 + 94.60 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.00 + 96.10 + 95.00 + 96.70 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.00 + 96.60 + 95.00 + 98.80 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.00 + 96.00 + 95.00 + 93.00 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.00 + 96.10 + 95.00 + 96.80 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.00 + 96.30 + 95.00 + 97.50 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.00 + 96.30 + 95.00 + 96.70 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.00 + 96.20 + 95.00 + 95.10 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.00 + 96.00 + 95.00 + 94.40 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.00 + 95.50 + 95.00 + 90.20 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.00 + 93.20 + 95.00 + 93.20 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.00 + 94.90 + 95.00 + 96.80 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.00 + 94.70 + 95.00 + 94.20 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.00 + 95.50 + 95.00 + 98.10 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.00 + 96.10 + 95.00 + 98.10 + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 373942 + + Long Island Rail Road + Escalator Availability + Percent of the time that escalators are operational systemwide. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + \ No newline at end of file diff --git a/datasets/mta_perf/Performance_LIRR.xsd b/datasets/mta_perf/Performance_LIRR.xsd new file mode 100644 index 000000000..d99ad1840 --- /dev/null +++ b/datasets/mta_perf/Performance_LIRR.xsd @@ -0,0 +1,96 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/datasets/mta_perf/Performance_MNR.xml b/datasets/mta_perf/Performance_MNR.xml new file mode 100644 index 000000000..198e516b6 --- /dev/null +++ b/datasets/mta_perf/Performance_MNR.xml @@ -0,0 +1,11715 @@ + + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2008 + 1 + Service Indicators + M + U + % + 1 + 95.00 + 96.90 + 95.00 + 96.90 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2008 + 2 + Service Indicators + M + U + % + 1 + 95.00 + 96.00 + 95.00 + 95.00 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2008 + 3 + Service Indicators + M + U + % + 1 + 95.00 + 96.30 + 95.00 + 96.90 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2008 + 4 + Service Indicators + M + U + % + 1 + 95.00 + 96.80 + 95.00 + 98.30 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2008 + 5 + Service Indicators + M + U + % + 1 + 95.00 + 96.60 + 95.00 + 95.80 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2008 + 6 + Service Indicators + M + U + % + 1 + 95.00 + 96.20 + 95.00 + 94.40 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2008 + 7 + Service Indicators + M + U + % + 1 + 95.00 + 96.20 + 95.00 + 96.00 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2008 + 8 + Service Indicators + M + U + % + 1 + 95.00 + 96.20 + 95.00 + 96.40 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2008 + 9 + Service Indicators + M + U + % + 1 + 95.00 + 95.90 + 95.00 + 93.70 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2008 + 10 + Service Indicators + M + U + % + 1 + 95.00 + 96.00 + 95.00 + 96.40 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2008 + 11 + Service Indicators + M + U + % + 1 + 95.00 + 96.10 + 95.00 + 96.90 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2008 + 12 + Service Indicators + M + U + % + 1 + 95.00 + 96.00 + 95.00 + 95.10 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2009 + 1 + Service Indicators + M + U + % + 1 + 96.20 + 92.60 + 96.20 + 92.60 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2009 + 2 + Service Indicators + M + U + % + 1 + 96.20 + 94.60 + 96.20 + 96.80 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2009 + 3 + Service Indicators + M + U + % + 1 + 96.20 + 95.40 + 96.20 + 96.90 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2009 + 4 + Service Indicators + M + U + % + 1 + 96.20 + 95.90 + 96.20 + 97.10 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2009 + 5 + Service Indicators + M + U + % + 1 + 96.20 + 96.20 + 96.20 + 97.80 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2009 + 6 + Service Indicators + M + U + % + 1 + 96.20 + 96.40 + 96.20 + 97.30 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2009 + 7 + Service Indicators + M + U + % + 1 + 96.20 + 96.50 + 96.20 + 96.70 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2009 + 8 + Service Indicators + M + U + % + 1 + 96.20 + 96.40 + 96.20 + 95.70 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2009 + 9 + Service Indicators + M + U + % + 1 + 96.20 + 96.30 + 96.20 + 96.10 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2009 + 10 + Service Indicators + M + U + % + 1 + 96.20 + 96.20 + 96.20 + 94.80 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2009 + 11 + Service Indicators + M + U + % + 1 + 96.20 + 96.10 + 96.20 + 95.70 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2009 + 12 + Service Indicators + M + U + % + 1 + 96.20 + 96.00 + 96.20 + 95.00 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2010 + 1 + Service Indicators + M + U + % + 1 + 96.30 + 98.00 + 96.30 + 98.00 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2010 + 2 + Service Indicators + M + U + % + 1 + 96.30 + 95.60 + 96.30 + 93.00 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2010 + 3 + Service Indicators + M + U + % + 1 + 96.30 + 96.10 + 96.30 + 96.90 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2010 + 4 + Service Indicators + M + U + % + 1 + 96.30 + 96.60 + 96.30 + 98.10 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2010 + 5 + Service Indicators + M + U + % + 1 + 96.30 + 96.80 + 96.30 + 97.60 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2010 + 6 + Service Indicators + M + U + % + 1 + 96.30 + 96.90 + 96.30 + 97.40 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2010 + 7 + Service Indicators + M + U + % + 1 + 96.30 + 96.90 + 96.30 + 96.60 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2010 + 8 + Service Indicators + M + U + % + 1 + 96.30 + 96.90 + 96.30 + 97.10 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2010 + 9 + Service Indicators + M + U + % + 1 + 96.30 + 96.90 + 96.30 + 96.70 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2010 + 10 + Service Indicators + M + U + % + 1 + 96.30 + 96.70 + 96.30 + 95.00 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2010 + 11 + Service Indicators + M + U + % + 1 + 96.30 + 96.60 + 96.30 + 96.10 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2010 + 12 + Service Indicators + M + U + % + 1 + 96.30 + 96.50 + 96.30 + 94.60 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2011 + 1 + Service Indicators + M + U + % + 1 + 96.40 + 92.10 + 96.40 + 92.10 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2011 + 2 + Service Indicators + M + U + % + 1 + 96.40 + 93.40 + 96.40 + 94.80 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2011 + 3 + Service Indicators + M + U + % + 1 + 96.40 + 94.60 + 96.40 + 96.90 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2011 + 4 + Service Indicators + M + U + % + 1 + 96.40 + 95.20 + 96.40 + 96.90 + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2011 + 5 + Service Indicators + M + U + % + 1 + 96.40 + + 96.40 + + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2011 + 6 + Service Indicators + M + U + % + 1 + 96.40 + + 96.40 + + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2011 + 7 + Service Indicators + M + U + % + 1 + 96.40 + + 96.40 + + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2011 + 8 + Service Indicators + M + U + % + 1 + 96.40 + + 96.40 + + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2011 + 9 + Service Indicators + M + U + % + 1 + 96.40 + + 96.40 + + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2011 + 10 + Service Indicators + M + U + % + 1 + 96.40 + + 96.40 + + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2011 + 11 + Service Indicators + M + U + % + 1 + 96.40 + + 96.40 + + + + 28445 + + Metro-North Railroad + On-Time Performance (West of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. West of Hudson services include the Pascack Valley and Port Jervis lines. Metro-North Railroad contracts with New Jersey Transit to operate service on these lines. + + 2011 + 12 + Service Indicators + M + U + % + 1 + 96.40 + + 96.40 + + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2008 + 1 + Service Indicators + M + U + % + 1 + 94.40 + 96.00 + 94.40 + 96.00 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2008 + 2 + Service Indicators + M + U + % + 1 + 94.40 + 94.80 + 94.40 + 93.50 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2008 + 3 + Service Indicators + M + U + % + 1 + 94.40 + 96.00 + 94.40 + 98.50 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2008 + 4 + Service Indicators + M + U + % + 1 + 94.40 + 96.60 + 94.40 + 98.50 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2008 + 5 + Service Indicators + M + U + % + 1 + 94.40 + 96.40 + 94.40 + 95.50 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2008 + 6 + Service Indicators + M + U + % + 1 + 94.40 + 95.70 + 94.40 + 92.30 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2008 + 7 + Service Indicators + M + U + % + 1 + 94.40 + 95.40 + 94.40 + 93.60 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2008 + 8 + Service Indicators + M + U + % + 1 + 94.40 + 95.10 + 94.40 + 93.10 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2008 + 9 + Service Indicators + M + U + % + 1 + 94.40 + 94.70 + 94.40 + 91.10 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2008 + 10 + Service Indicators + M + U + % + 1 + 94.40 + 94.70 + 94.40 + 95.20 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2008 + 11 + Service Indicators + M + U + % + 1 + 94.40 + 94.80 + 94.40 + 95.40 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2008 + 12 + Service Indicators + M + U + % + 1 + 94.40 + 94.70 + 94.40 + 94.10 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2009 + 1 + Service Indicators + M + U + % + 1 + 95.00 + 94.50 + 95.00 + 94.50 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2009 + 2 + Service Indicators + M + U + % + 1 + 95.00 + 95.30 + 95.00 + 96.30 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2009 + 3 + Service Indicators + M + U + % + 1 + 95.00 + 95.80 + 95.00 + 96.60 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2009 + 4 + Service Indicators + M + U + % + 1 + 95.00 + 96.30 + 95.00 + 97.80 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2009 + 5 + Service Indicators + M + U + % + 1 + 95.00 + 96.70 + 95.00 + 98.40 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2009 + 6 + Service Indicators + M + U + % + 1 + 95.00 + 96.60 + 95.00 + 96.30 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2009 + 7 + Service Indicators + M + U + % + 1 + 95.00 + 96.50 + 95.00 + 95.60 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2009 + 8 + Service Indicators + M + U + % + 1 + 95.00 + 96.40 + 95.00 + 95.50 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2009 + 9 + Service Indicators + M + U + % + 1 + 95.00 + 96.30 + 95.00 + 95.50 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2009 + 10 + Service Indicators + M + U + % + 1 + 95.00 + 95.80 + 95.00 + 91.80 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2009 + 11 + Service Indicators + M + U + % + 1 + 95.00 + 95.70 + 95.00 + 94.40 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2009 + 12 + Service Indicators + M + U + % + 1 + 95.00 + 95.40 + 95.00 + 92.70 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.20 + 96.70 + 95.20 + 96.70 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.20 + 93.40 + 95.20 + 89.60 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.20 + 94.40 + 95.20 + 96.30 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.20 + 95.10 + 95.20 + 96.90 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.20 + 95.50 + 95.20 + 97.20 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.20 + 95.60 + 95.20 + 96.20 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.20 + 95.50 + 95.20 + 94.80 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.20 + 95.40 + 95.20 + 94.60 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.20 + 95.30 + 95.20 + 95.10 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.20 + 94.90 + 95.20 + 90.50 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.20 + 94.80 + 95.20 + 93.90 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.20 + 94.40 + 95.20 + 91.00 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.50 + 88.00 + 95.50 + 88.00 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.50 + 89.50 + 95.50 + 91.00 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.50 + 92.00 + 95.50 + 96.60 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.50 + 92.20 + 95.50 + 92.90 + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 28460 + 28445 + Metro-North Railroad + Port Jervis Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New York Transit to operate service on the Port Jervis Line. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2008 + 1 + Service Indicators + M + U + % + 1 + 95.60 + 97.50 + 95.60 + 97.50 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2008 + 2 + Service Indicators + M + U + % + 1 + 95.60 + 96.80 + 95.60 + 96.10 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2008 + 3 + Service Indicators + M + U + % + 1 + 95.60 + 96.50 + 95.60 + 95.80 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2008 + 4 + Service Indicators + M + U + % + 1 + 95.60 + 96.90 + 95.60 + 98.20 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2008 + 5 + Service Indicators + M + U + % + 1 + 95.60 + 96.70 + 95.60 + 96.00 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2008 + 6 + Service Indicators + M + U + % + 1 + 95.60 + 96.60 + 95.60 + 95.80 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2008 + 7 + Service Indicators + M + U + % + 1 + 95.60 + 96.80 + 95.60 + 97.70 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2008 + 8 + Service Indicators + M + U + % + 1 + 95.60 + 97.00 + 95.60 + 98.60 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2008 + 9 + Service Indicators + M + U + % + 1 + 95.60 + 96.80 + 95.60 + 95.50 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2008 + 10 + Service Indicators + M + U + % + 1 + 95.60 + 96.90 + 95.60 + 97.20 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2008 + 11 + Service Indicators + M + U + % + 1 + 95.60 + 97.00 + 95.60 + 97.90 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2008 + 12 + Service Indicators + M + U + % + 1 + 95.60 + 96.90 + 95.60 + 95.80 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2009 + 1 + Service Indicators + M + U + % + 1 + 97.00 + 91.40 + 97.00 + 91.40 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2009 + 2 + Service Indicators + M + U + % + 1 + 97.00 + 94.10 + 97.00 + 97.20 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2009 + 3 + Service Indicators + M + U + % + 1 + 97.00 + 95.20 + 97.00 + 97.10 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2009 + 4 + Service Indicators + M + U + % + 1 + 97.00 + 95.60 + 97.00 + 96.60 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2009 + 5 + Service Indicators + M + U + % + 1 + 97.00 + 95.90 + 97.00 + 97.50 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2009 + 6 + Service Indicators + M + U + % + 1 + 97.00 + 96.30 + 97.00 + 98.00 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2009 + 7 + Service Indicators + M + U + % + 1 + 97.00 + 96.40 + 97.00 + 97.40 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2009 + 8 + Service Indicators + M + U + % + 1 + 97.00 + 96.40 + 97.00 + 95.90 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2009 + 9 + Service Indicators + M + U + % + 1 + 97.00 + 96.40 + 97.00 + 96.50 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2009 + 10 + Service Indicators + M + U + % + 1 + 97.00 + 96.40 + 97.00 + 96.90 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2009 + 11 + Service Indicators + M + U + % + 1 + 97.00 + 96.50 + 97.00 + 96.50 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2009 + 12 + Service Indicators + M + U + % + 1 + 97.00 + 96.50 + 97.00 + 96.50 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2010 + 1 + Service Indicators + M + U + % + 1 + 97.00 + 98.80 + 97.00 + 98.80 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2010 + 2 + Service Indicators + M + U + % + 1 + 97.00 + 97.10 + 97.00 + 95.20 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2010 + 3 + Service Indicators + M + U + % + 1 + 97.00 + 97.20 + 97.00 + 97.30 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2010 + 4 + Service Indicators + M + U + % + 1 + 97.00 + 97.60 + 97.00 + 98.90 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2010 + 5 + Service Indicators + M + U + % + 1 + 97.00 + 97.60 + 97.00 + 97.80 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2010 + 6 + Service Indicators + M + U + % + 1 + 97.00 + 97.80 + 97.00 + 98.30 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2010 + 7 + Service Indicators + M + U + % + 1 + 97.00 + 97.80 + 97.00 + 97.80 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2010 + 8 + Service Indicators + M + U + % + 1 + 97.00 + 97.90 + 97.00 + 98.90 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2010 + 9 + Service Indicators + M + U + % + 1 + 97.00 + 97.90 + 97.00 + 97.80 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2010 + 10 + Service Indicators + M + U + % + 1 + 97.00 + 97.90 + 97.00 + 98.20 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2010 + 11 + Service Indicators + M + U + % + 1 + 97.00 + 97.90 + 97.00 + 97.60 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2010 + 12 + Service Indicators + M + U + % + 1 + 97.00 + 97.80 + 97.00 + 97.20 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2011 + 1 + Service Indicators + M + U + % + 1 + 97.00 + 94.90 + 97.00 + 94.90 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2011 + 2 + Service Indicators + M + U + % + 1 + 97.00 + 96.20 + 97.00 + 97.50 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2011 + 3 + Service Indicators + M + U + % + 1 + 97.00 + 96.50 + 97.00 + 97.10 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2011 + 4 + Service Indicators + M + U + % + 1 + 97.00 + 97.30 + 97.00 + 99.70 + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2011 + 5 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2011 + 6 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2011 + 7 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2011 + 8 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2011 + 9 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2011 + 10 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2011 + 11 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 28461 + 28445 + Metro-North Railroad + Pascack Valley Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. Metro-North Railroad contracts with New Jersey Transit to operate service on the Pascack Valley Line. + 2011 + 12 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2008 + 1 + Service Indicators + M + U + - + 0 + 100,000.00 + 170,344.00 + 100,000.00 + 170,344.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2008 + 2 + Service Indicators + M + U + - + 0 + 100,000.00 + 142,587.00 + 100,000.00 + 121,615.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2008 + 3 + Service Indicators + M + U + - + 0 + 100,000.00 + 143,137.00 + 100,000.00 + 144,223.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2008 + 4 + Service Indicators + M + U + - + 0 + 100,000.00 + 139,925.00 + 100,000.00 + 131,432.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2008 + 5 + Service Indicators + M + U + - + 0 + 100,000.00 + 137,138.00 + 100,000.00 + 127,412.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2008 + 6 + Service Indicators + M + U + - + 0 + 100,000.00 + 127,693.00 + 100,000.00 + 95,022.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2008 + 7 + Service Indicators + M + U + - + 0 + 100,000.00 + 113,519.00 + 100,000.00 + 69,206.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2008 + 8 + Service Indicators + M + U + - + 0 + 100,000.00 + 110,396.00 + 100,000.00 + 92,878.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2008 + 9 + Service Indicators + M + U + - + 0 + 100,000.00 + 110,077.00 + 100,000.00 + 107,579.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2008 + 10 + Service Indicators + M + U + - + 0 + 100,000.00 + 108,859.00 + 100,000.00 + 99,487.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2008 + 11 + Service Indicators + M + U + - + 0 + 100,000.00 + 109,676.00 + 100,000.00 + 119,045.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2008 + 12 + Service Indicators + M + U + - + 0 + 100,000.00 + 104,865.00 + 100,000.00 + 71,307.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2009 + 1 + Service Indicators + M + U + - + 0 + 105,000.00 + 61,868.00 + 105,000.00 + 61,868.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2009 + 2 + Service Indicators + M + U + - + 0 + 105,000.00 + 71,443.00 + 105,000.00 + 85,652.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2009 + 3 + Service Indicators + M + U + - + 0 + 105,000.00 + 74,040.00 + 105,000.00 + 79,372.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2009 + 4 + Service Indicators + M + U + - + 0 + 105,000.00 + 81,617.00 + 105,000.00 + 115,640.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2009 + 5 + Service Indicators + M + U + - + 0 + 105,000.00 + 86,001.00 + 105,000.00 + 109,447.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2009 + 6 + Service Indicators + M + U + - + 0 + 105,000.00 + 95,454.00 + 105,000.00 + 199,874.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2009 + 7 + Service Indicators + M + U + - + 0 + 105,000.00 + 100,927.00 + 105,000.00 + 149,383.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2009 + 8 + Service Indicators + M + U + - + 0 + 105,000.00 + 103,243.00 + 105,000.00 + 167,607.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2009 + 9 + Service Indicators + M + U + - + 0 + 105,000.00 + 110,872.00 + 105,000.00 + 170,649.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2009 + 10 + Service Indicators + M + U + - + 0 + 105,000.00 + 115,665.00 + 105,000.00 + 186,500.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2009 + 11 + Service Indicators + M + U + - + 0 + 105,000.00 + 118,534.00 + 105,000.00 + 159,929.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2009 + 12 + Service Indicators + M + U + - + 0 + 105,000.00 + 116,066.00 + 105,000.00 + 94,916.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2010 + 1 + Service Indicators + M + U + - + 0 + 115,000.00 + 133,979.00 + 115,000.00 + 133,979.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2010 + 2 + Service Indicators + M + U + - + 0 + 115,000.00 + 136,624.00 + 115,000.00 + 139,626.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2010 + 3 + Service Indicators + M + U + - + 0 + 115,000.00 + 148,691.00 + 115,000.00 + 176,730.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2010 + 4 + Service Indicators + M + U + - + 0 + 115,000.00 + 152,854.00 + 115,000.00 + 166,295.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2010 + 5 + Service Indicators + M + U + - + 0 + 115,000.00 + 161,507.00 + 115,000.00 + 207,245.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2010 + 6 + Service Indicators + M + U + - + 0 + 115,000.00 + 150,239.00 + 115,000.00 + 112,101.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2010 + 7 + Service Indicators + M + U + - + 0 + 115,000.00 + 147,618.00 + 115,000.00 + 133,718.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2010 + 8 + Service Indicators + M + U + - + 0 + 115,000.00 + 144,758.00 + 115,000.00 + 127,910.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2010 + 9 + Service Indicators + M + U + - + 0 + 115,000.00 + 140,083.00 + 115,000.00 + 111,026.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2010 + 10 + Service Indicators + M + U + - + 0 + 115,000.00 + 136,653.00 + 115,000.00 + 111,898.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2010 + 11 + Service Indicators + M + U + - + 0 + 115,000.00 + 132,432.00 + 115,000.00 + 100,852.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2010 + 12 + Service Indicators + M + U + - + 0 + 115,000.00 + 129,329.00 + 115,000.00 + 102,536.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2011 + 1 + Service Indicators + M + U + - + 0 + 125,000.00 + 56,773.00 + 125,000.00 + 56,773.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2011 + 2 + Service Indicators + M + U + - + 0 + 125,000.00 + 57,252.00 + 125,000.00 + 57,770.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2011 + 3 + Service Indicators + M + U + - + 0 + 125,000.00 + 66,962.00 + 125,000.00 + 95,307.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2011 + 4 + Service Indicators + M + U + - + 0 + 125,000.00 + 79,346.00 + 125,000.00 + 165,331.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2011 + 5 + Service Indicators + M + U + - + 0 + 125,000.00 + 87,903.00 + 125,000.00 + 147,369.00 + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2011 + 6 + Service Indicators + M + U + - + 0 + 125,000.00 + + 125,000.00 + + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2011 + 7 + Service Indicators + M + U + - + 0 + 125,000.00 + + 125,000.00 + + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2011 + 8 + Service Indicators + M + U + - + 0 + 125,000.00 + + 125,000.00 + + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2011 + 9 + Service Indicators + M + U + - + 0 + 125,000.00 + + 125,000.00 + + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2011 + 10 + Service Indicators + M + U + - + 0 + 125,000.00 + + 125,000.00 + + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2011 + 11 + Service Indicators + M + U + - + 0 + 125,000.00 + + 125,000.00 + + + + 28463 + + Metro-North Railroad + Mean Distance Between Failures + Average number of miles a railcar travels before a mechanical failure makes the train arrive at its final destination later than 5 minutes and 59 seconds + 2011 + 12 + Service Indicators + M + U + - + 0 + 125,000.00 + + 125,000.00 + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 1 + Safety Indicators + M + D + - + 2 + 3.20 + 4.65 + 3.20 + 4.65 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 2 + Safety Indicators + M + D + - + 2 + 3.20 + 4.29 + 3.20 + 3.91 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 3 + Safety Indicators + M + D + - + 2 + 3.20 + 3.96 + 3.20 + 3.33 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 4 + Safety Indicators + M + D + - + 2 + 3.20 + 3.73 + 3.20 + 3.09 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 5 + Safety Indicators + M + D + - + 2 + 3.20 + 3.72 + 3.20 + 3.65 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 6 + Safety Indicators + M + D + - + 2 + 3.20 + 3.49 + 3.20 + 2.43 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 7 + Safety Indicators + M + D + - + 2 + 3.20 + 3.95 + 3.20 + 3.43 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 8 + Safety Indicators + M + D + - + 2 + 3.20 + 3.45 + 3.20 + 3.22 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 9 + Safety Indicators + M + D + - + 2 + 3.20 + 3.41 + 3.20 + 1.96 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 10 + Safety Indicators + M + D + - + 2 + 3.20 + 3.23 + 3.20 + 1.78 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 11 + Safety Indicators + M + D + - + 2 + 3.20 + 3.18 + 3.20 + 2.67 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2008 + 12 + Safety Indicators + M + D + - + 2 + 3.20 + 3.13 + 3.20 + 2.43 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 3.20 + 2.27 + 3.20 + 2.27 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 3.20 + 2.10 + 3.20 + 1.92 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 3.20 + 2.22 + 3.20 + 1.97 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 3.20 + 2.03 + 3.20 + 1.50 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 3.20 + 2.16 + 3.20 + 2.50 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 3.20 + 2.45 + 3.20 + 3.79 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 3.20 + 2.57 + 3.20 + 2.93 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 3.20 + 2.60 + 3.20 + 2.82 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 3.20 + 2.72 + 3.20 + 3.53 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 3.20 + 2.68 + 3.20 + 2.36 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 3.20 + 2.67 + 3.20 + 2.21 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 3.20 + 2.77 + 3.20 + 3.55 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 2.80 + 1.85 + 2.80 + 1.85 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 2.80 + 1.56 + 2.80 + 1.26 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 2.80 + 1.43 + 2.80 + 1.18 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 2.80 + 1.81 + 2.80 + 2.85 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 2.80 + 2.16 + 2.80 + 2.89 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 2.80 + 2.26 + 2.80 + 2.72 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 2.80 + 2.49 + 2.80 + 2.93 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 2.80 + 2.78 + 2.80 + 4.59 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 2.80 + 2.74 + 2.80 + 2.39 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 2.80 + 2.76 + 2.80 + 2.91 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 2.80 + 2.68 + 2.80 + 1.95 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 2.80 + 2.74 + 2.80 + 3.18 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 1 + Safety Indicators + M + D + - + 2 + 2.80 + 3.20 + 2.80 + 3.20 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 2 + Safety Indicators + M + D + - + 2 + 2.80 + 3.20 + 2.80 + 3.20 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 3 + Safety Indicators + M + D + - + 2 + 2.80 + 3.73 + 2.80 + 3.63 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 4 + Safety Indicators + M + D + - + 2 + 2.80 + 3.34 + 2.80 + 2.26 + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 5 + Safety Indicators + M + D + - + 2 + 2.80 + + 2.80 + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 6 + Safety Indicators + M + D + - + 2 + 2.80 + + 2.80 + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 7 + Safety Indicators + M + D + - + 2 + 2.80 + + 2.80 + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 8 + Safety Indicators + M + D + - + 2 + 2.80 + + 2.80 + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 9 + Safety Indicators + M + D + - + 2 + 2.80 + + 2.80 + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 10 + Safety Indicators + M + D + - + 2 + 2.80 + + 2.80 + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 11 + Safety Indicators + M + D + - + 2 + 2.80 + + 2.80 + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2011 + 12 + Safety Indicators + M + D + - + 2 + 2.80 + + 2.80 + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2012 + 1 + Safety Indicators + M + D + - + 2 + + + + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2012 + 2 + Safety Indicators + M + D + - + 2 + + + + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2012 + 3 + Safety Indicators + M + D + - + 2 + + + + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2012 + 4 + Safety Indicators + M + D + - + 2 + + + + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2012 + 5 + Safety Indicators + M + D + - + 2 + + + + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2012 + 6 + Safety Indicators + M + D + - + 2 + + + + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2012 + 7 + Safety Indicators + M + D + - + 2 + + + + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2012 + 8 + Safety Indicators + M + D + - + 2 + + + + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2012 + 9 + Safety Indicators + M + D + - + 2 + + + + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2012 + 10 + Safety Indicators + M + D + - + 2 + + + + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2012 + 11 + Safety Indicators + M + D + - + 2 + + + + + + + 28530 + + Metro-North Railroad + Customer Injury Rate + Any injury to a customer as a result of an incident within/on railroad property. Included are injuries that result from an assault or crime. The rate is injuries per million customers. + 2012 + 12 + Safety Indicators + M + D + - + 2 + + + + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 1 + Safety Indicators + M + D + - + 2 + 2.00 + .19 + 2.00 + .19 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 2 + Safety Indicators + M + D + - + 2 + 2.00 + .49 + 2.00 + .81 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 3 + Safety Indicators + M + D + - + 2 + 2.00 + .84 + 2.00 + 1.55 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 4 + Safety Indicators + M + D + - + 2 + 2.00 + 1.06 + 2.00 + 1.69 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 5 + Safety Indicators + M + D + - + 2 + 2.00 + 1.00 + 2.00 + .90 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 6 + Safety Indicators + M + D + - + 2 + 2.00 + 1.05 + 2.00 + 1.13 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 7 + Safety Indicators + M + D + - + 2 + 2.00 + 1.17 + 2.00 + 1.89 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 8 + Safety Indicators + M + D + - + 2 + 2.00 + 1.89 + 2.00 + 1.36 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 9 + Safety Indicators + M + D + - + 2 + 2.00 + 1.16 + 2.00 + 1.23 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 10 + Safety Indicators + M + D + - + 2 + 2.00 + 1.28 + 2.00 + 2.11 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 11 + Safety Indicators + M + D + - + 2 + 2.00 + 1.24 + 2.00 + 1.03 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 12 + Safety Indicators + M + D + - + 2 + 2.00 + 1.22 + 2.00 + .79 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 1.90 + 3.14 + 1.90 + 3.14 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 1.90 + 2.42 + 1.90 + 1.63 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 1.90 + 2.31 + 1.90 + 2.30 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 1.90 + 2.30 + 1.90 + 2.20 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 1.90 + 2.23 + 1.90 + 1.93 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 1.90 + 2.07 + 1.90 + 1.30 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 1.90 + 2.19 + 1.90 + 2.88 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 1.90 + 2.28 + 1.90 + 3.14 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 1.90 + 2.22 + 1.90 + 1.72 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 1.90 + 2.11 + 1.90 + 1.29 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 1.90 + 2.15 + 1.90 + 2.45 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 1.90 + 2.13 + 1.90 + 1.82 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 1.80 + 1.20 + 1.80 + 1.20 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 1.80 + 1.64 + 1.80 + 2.11 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 1.80 + 1.97 + 1.80 + 2.54 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 1.80 + 1.86 + 1.80 + 1.54 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 1.80 + 1.80 + 1.80 + 1.37 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 1.80 + 1.90 + 1.80 + 2.35 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 1.80 + 1.88 + 1.80 + 1.60 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 1.80 + 1.94 + 1.80 + 2.54 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 1.80 + 1.94 + 1.80 + 1.96 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 1.80 + 1.99 + 1.80 + 2.44 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 1.80 + 1.89 + 1.80 + .80 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 1.80 + 1.88 + 1.80 + 1.80 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 1 + Safety Indicators + M + D + - + 2 + 1.70 + 3.89 + 1.70 + 3.89 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 2 + Safety Indicators + M + D + - + 2 + 1.70 + 3.25 + 1.70 + 2.55 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 3 + Safety Indicators + M + D + - + 2 + 1.70 + 2.99 + 1.70 + 2.53 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 4 + Safety Indicators + M + D + - + 2 + 1.70 + 2.69 + 1.70 + 1.77 + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 5 + Safety Indicators + M + D + - + 2 + 1.70 + + 1.70 + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 6 + Safety Indicators + M + D + - + 2 + 1.70 + + 1.70 + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 7 + Safety Indicators + M + D + - + 2 + 1.70 + + 1.70 + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 8 + Safety Indicators + M + D + - + 2 + 1.70 + + 1.70 + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 9 + Safety Indicators + M + D + - + 2 + 1.70 + + 1.70 + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 10 + Safety Indicators + M + D + - + 2 + 1.70 + + 1.70 + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 11 + Safety Indicators + M + D + - + 2 + 1.70 + + 1.70 + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 12 + Safety Indicators + M + D + - + 2 + 1.70 + + 1.70 + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 1 + Safety Indicators + M + D + - + 2 + + + + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 2 + Safety Indicators + M + D + - + 2 + + + + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 3 + Safety Indicators + M + D + - + 2 + + + + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 4 + Safety Indicators + M + D + - + 2 + + + + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 5 + Safety Indicators + M + D + - + 2 + + + + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 6 + Safety Indicators + M + D + - + 2 + + + + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 7 + Safety Indicators + M + D + - + 2 + + + + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 8 + Safety Indicators + M + D + - + 2 + + + + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 9 + Safety Indicators + M + D + - + 2 + + + + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 10 + Safety Indicators + M + D + - + 2 + + + + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 11 + Safety Indicators + M + D + - + 2 + + + + + + + 28627 + + Metro-North Railroad + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2012 + 12 + Safety Indicators + M + D + - + 2 + + + + + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 1 + Service Indicators + M + U + - + 0 + 6,475,134.00 + 6,618,443.00 + 6,475,134.00 + 6,618,443.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 2 + Service Indicators + M + U + - + 0 + 12,520,602.00 + 12,919,928.00 + 6,045,468.00 + 6,301,485.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 3 + Service Indicators + M + U + - + 0 + 19,084,109.00 + 19,691,414.00 + 6,563,507.00 + 6,771,486.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 4 + Service Indicators + M + U + - + 0 + 25,895,437.00 + 26,650,054.00 + 6,811,328.00 + 6,958,640.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 5 + Service Indicators + M + U + - + 0 + 32,758,164.00 + 33,672,738.00 + 6,862,727.00 + 7,022,684.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 6 + Service Indicators + M + U + - + 0 + 39,733,412.00 + 40,867,001.00 + 6,975,248.00 + 7,194,263.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 7 + Service Indicators + M + U + - + 0 + 46,909,968.00 + 48,356,564.00 + 7,176,556.00 + 7,489,563.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 8 + Service Indicators + M + U + - + 0 + 53,710,765.00 + 55,362,353.00 + 6,800,797.00 + 7,005,789.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 9 + Service Indicators + M + U + - + 0 + 60,604,983.00 + 62,369,501.00 + 6,894,218.00 + 7,007,148.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 10 + Service Indicators + M + U + - + 0 + 67,965,837.00 + 69,879,022.00 + 7,360,854.00 + 7,509,521.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 11 + Service Indicators + M + U + - + 0 + 74,415,693.00 + 76,389,999.00 + 6,449,856.00 + 6,510,977.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 12 + Service Indicators + M + U + - + 0 + 81,739,667.00 + 83,555,228.00 + 7,323,974.00 + 7,165,229.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 1 + Service Indicators + M + U + - + 0 + 6,508,071.00 + 6,332,765.00 + 6,508,071.00 + 6,332,765.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 2 + Service Indicators + M + U + - + 0 + 12,594,887.00 + 12,209,821.00 + 6,086,816.00 + 5,877,056.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 3 + Service Indicators + M + U + - + 0 + 19,596,253.00 + 18,972,340.00 + 7,001,366.00 + 6,762,519.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 4 + Service Indicators + M + U + - + 0 + 26,767,083.00 + 25,737,369.00 + 7,170,830.00 + 6,765,029.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 5 + Service Indicators + M + U + - + 0 + 33,823,015.00 + 32,280,151.00 + 7,055,932.00 + 6,542,782.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 6 + Service Indicators + M + U + - + 0 + 41,458,198.00 + 39,314,929.00 + 7,635,183.00 + 7,034,778.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 7 + Service Indicators + M + U + - + 0 + 49,202,681.00 + 46,315,848.00 + 7,744,483.00 + 7,000,919.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 8 + Service Indicators + M + U + - + 0 + 56,456,685.00 + 52,867,646.00 + 7,254,004.00 + 6,551,798.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 9 + Service Indicators + M + U + - + 0 + 63,690,048.00 + 59,537,711.00 + 7,233,363.00 + 6,670,065.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 10 + Service Indicators + M + U + - + 0 + 71,191,251.00 + 66,490,483.00 + 7,501,203.00 + 6,952,772.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 11 + Service Indicators + M + U + - + 0 + 78,164,917.00 + 72,976,241.00 + 6,973,666.00 + 6,485,758.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 12 + Service Indicators + M + U + - + 0 + 85,733,300.00 + 79,899,147.00 + 7,568,383.00 + 6,922,906.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 1 + Service Indicators + M + U + - + 0 + 5,939,175.00 + 6,057,658.00 + 5,939,175.00 + 6,057,658.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 2 + Service Indicators + M + U + - + 0 + 11,638,866.00 + 11,745,609.00 + 5,699,691.00 + 5,687,951.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 3 + Service Indicators + M + U + - + 0 + 18,402,757.00 + 18,683,819.00 + 6,763,891.00 + 6,938,210.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 4 + Service Indicators + M + U + - + 0 + 25,018,196.00 + 25,521,081.00 + 6,615,439.00 + 6,837,262.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 5 + Service Indicators + M + U + - + 0 + 31,429,860.00 + 32,252,137.00 + 6,411,664.00 + 6,731,056.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 6 + Service Indicators + M + U + - + 0 + 38,331,210.00 + 39,410,262.00 + 6,901,350.00 + 7,158,125.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 7 + Service Indicators + M + U + - + 0 + 45,092,948.00 + 46,402,728.00 + 6,761,738.00 + 6,992,466.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 8 + Service Indicators + M + U + - + 0 + 51,804,118.00 + 53,315,701.00 + 6,711,170.00 + 6,912,973.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 9 + Service Indicators + M + U + - + 0 + 58,430,546.00 + 60,168,330.00 + 6,626,428.00 + 6,852,629.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 10 + Service Indicators + M + U + - + 0 + 65,255,967.00 + 67,195,926.00 + 6,825,421.00 + 7,027,596.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 11 + Service Indicators + M + U + - + 0 + 71,961,212.00 + 74,006,393.00 + 6,705,245.00 + 6,810,467.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 12 + Service Indicators + M + U + - + 0 + 79,067,578.00 + 81,095,848.00 + 7,106,366.00 + 7,089,455.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 1 + Service Indicators + M + U + - + 0 + 6,110,803.00 + 6,058,384.00 + 6,110,803.00 + 6,058,384.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 2 + Service Indicators + M + U + - + 0 + 11,848,447.00 + 11,882,226.00 + 5,737,644.00 + 5,823,842.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 3 + Service Indicators + M + U + - + 0 + 18,846,561.00 + 18,949,529.00 + 6,998,114.00 + 7,067,303.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 4 + Service Indicators + M + U + - + 0 + 25,578,846.00 + 25,754,122.00 + 6,732,285.00 + 6,804,593.00 + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 5 + Service Indicators + M + U + - + 0 + 32,542,163.00 + + 6,963,317.00 + + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 6 + Service Indicators + M + U + - + 0 + 39,771,526.00 + + 7,229,363.00 + + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 7 + Service Indicators + M + U + - + 0 + 46,653,482.00 + + 6,881,956.00 + + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 8 + Service Indicators + M + U + - + 0 + 53,701,665.00 + + 7,048,183.00 + + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 9 + Service Indicators + M + U + - + 0 + 60,550,721.00 + + 6,849,056.00 + + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 10 + Service Indicators + M + U + - + 0 + 67,612,098.00 + + 7,061,377.00 + + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 11 + Service Indicators + M + U + - + 0 + 74,589,125.00 + + 6,977,027.00 + + + + 55512 + + Metro-North Railroad + Total Ridership + The number of passengers from whom the agency receives a fare (cash, train tickets, time-based passes, etc.) Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 12 + Service Indicators + M + U + - + 0 + 81,670,880.00 + + 7,081,755.00 + + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 1 + Service Indicators + M + U + % + 1 + 98.00 + 99.30 + 98.00 + 99.30 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 2 + Service Indicators + M + U + % + 1 + 98.00 + 99.20 + 98.00 + 99.10 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 3 + Service Indicators + M + U + % + 1 + 98.00 + 98.40 + 98.00 + 96.90 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 4 + Service Indicators + M + U + % + 1 + 98.00 + 98.40 + 98.00 + 98.60 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 5 + Service Indicators + M + U + % + 1 + 98.00 + 98.20 + 98.00 + 97.40 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 6 + Service Indicators + M + U + % + 1 + 98.00 + 97.80 + 98.00 + 95.90 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 7 + Service Indicators + M + U + % + 1 + 98.00 + 97.70 + 98.00 + 97.00 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 8 + Service Indicators + M + U + % + 1 + 98.00 + 97.70 + 98.00 + 97.70 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 9 + Service Indicators + M + U + % + 1 + 98.00 + 97.80 + 98.00 + 98.20 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 10 + Service Indicators + M + U + % + 1 + 98.00 + 97.70 + 98.00 + 96.80 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 11 + Service Indicators + M + U + % + 1 + 98.00 + 97.60 + 98.00 + 97.00 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 12 + Service Indicators + M + U + % + 1 + 98.00 + 97.60 + 98.00 + 97.20 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 1 + Service Indicators + M + U + % + 1 + 97.90 + 96.40 + 97.90 + 96.40 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 2 + Service Indicators + M + U + % + 1 + 97.90 + 97.60 + 97.90 + 98.90 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 3 + Service Indicators + M + U + % + 1 + 97.90 + 97.90 + 97.90 + 98.50 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 4 + Service Indicators + M + U + % + 1 + 97.90 + 98.10 + 97.90 + 98.80 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 5 + Service Indicators + M + U + % + 1 + 97.90 + 98.20 + 97.90 + 98.50 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 6 + Service Indicators + M + U + % + 1 + 97.90 + 98.10 + 97.90 + 97.60 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 7 + Service Indicators + M + U + % + 1 + 97.90 + 98.10 + 97.90 + 97.80 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 8 + Service Indicators + M + U + % + 1 + 97.90 + 97.90 + 97.90 + 96.70 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 9 + Service Indicators + M + U + % + 1 + 97.90 + 97.90 + 97.90 + 98.50 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 10 + Service Indicators + M + U + % + 1 + 97.90 + 97.90 + 97.90 + 98.10 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 11 + Service Indicators + M + U + % + 1 + 97.90 + 97.90 + 97.90 + 97.90 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 12 + Service Indicators + M + U + % + 1 + 97.90 + 97.90 + 97.90 + 98.30 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 1 + Service Indicators + M + U + % + 1 + 98.10 + 99.00 + 98.10 + 99.00 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 2 + Service Indicators + M + U + % + 1 + 98.10 + 98.10 + 98.10 + 97.20 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 3 + Service Indicators + M + U + % + 1 + 98.10 + 98.30 + 98.10 + 98.60 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 4 + Service Indicators + M + U + % + 1 + 98.10 + 98.40 + 98.10 + 98.60 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 5 + Service Indicators + M + U + % + 1 + 98.10 + 98.30 + 98.10 + 97.90 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 6 + Service Indicators + M + U + % + 1 + 98.10 + 98.30 + 98.10 + 98.50 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 7 + Service Indicators + M + U + % + 1 + 98.10 + 98.20 + 98.10 + 97.50 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 8 + Service Indicators + M + U + % + 1 + 98.10 + 98.20 + 98.10 + 98.00 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 9 + Service Indicators + M + U + % + 1 + 98.10 + 98.10 + 98.10 + 97.40 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 10 + Service Indicators + M + U + % + 1 + 98.10 + 98.10 + 98.10 + 97.80 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 11 + Service Indicators + M + U + % + 1 + 98.10 + 98.10 + 98.10 + 98.10 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 12 + Service Indicators + M + U + % + 1 + 98.10 + 98.00 + 98.10 + 97.10 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 1 + Service Indicators + M + U + % + 1 + 98.20 + 97.40 + 98.20 + 97.40 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 2 + Service Indicators + M + U + % + 1 + 98.20 + 97.70 + 98.20 + 98.10 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 3 + Service Indicators + M + U + % + 1 + 98.20 + 97.90 + 98.20 + 98.30 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 4 + Service Indicators + M + U + % + 1 + 98.20 + 98.10 + 98.20 + 98.70 + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 5 + Service Indicators + M + U + % + 1 + 98.20 + + 98.20 + + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 6 + Service Indicators + M + U + % + 1 + 98.20 + + 98.20 + + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 7 + Service Indicators + M + U + % + 1 + 98.20 + + 98.20 + + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 8 + Service Indicators + M + U + % + 1 + 98.20 + + 98.20 + + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 9 + Service Indicators + M + U + % + 1 + 98.20 + + 98.20 + + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 10 + Service Indicators + M + U + % + 1 + 98.20 + + 98.20 + + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 11 + Service Indicators + M + U + % + 1 + 98.20 + + 98.20 + + + + 28345 + 55526 + Metro-North Railroad + Hudson Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 12 + Service Indicators + M + U + % + 1 + 98.20 + + 98.20 + + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 1 + Service Indicators + M + U + % + 1 + 98.00 + 99.00 + 98.00 + 99.00 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 2 + Service Indicators + M + U + % + 1 + 98.00 + 99.10 + 98.00 + 99.20 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 3 + Service Indicators + M + U + % + 1 + 98.00 + 98.50 + 98.00 + 97.20 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 4 + Service Indicators + M + U + % + 1 + 98.00 + 98.70 + 98.00 + 99.20 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 5 + Service Indicators + M + U + % + 1 + 98.00 + 98.70 + 98.00 + 98.60 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 6 + Service Indicators + M + U + % + 1 + 98.00 + 98.50 + 98.00 + 97.80 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 7 + Service Indicators + M + U + % + 1 + 98.00 + 98.40 + 98.00 + 98.00 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 8 + Service Indicators + M + U + % + 1 + 98.00 + 98.40 + 98.00 + 98.20 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 9 + Service Indicators + M + U + % + 1 + 98.00 + 98.30 + 98.00 + 97.70 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 10 + Service Indicators + M + U + % + 1 + 98.00 + 98.30 + 98.00 + 97.80 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 11 + Service Indicators + M + U + % + 1 + 98.00 + 98.30 + 98.00 + 98.10 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 12 + Service Indicators + M + U + % + 1 + 98.00 + 98.20 + 98.00 + 97.60 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 1 + Service Indicators + M + U + % + 1 + 98.20 + 97.80 + 98.20 + 97.80 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 2 + Service Indicators + M + U + % + 1 + 98.20 + 98.20 + 98.20 + 98.60 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 3 + Service Indicators + M + U + % + 1 + 98.20 + 98.50 + 98.20 + 99.10 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 4 + Service Indicators + M + U + % + 1 + 98.20 + 98.60 + 98.20 + 98.90 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 5 + Service Indicators + M + U + % + 1 + 98.20 + 98.70 + 98.20 + 98.90 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 6 + Service Indicators + M + U + % + 1 + 98.20 + 98.70 + 98.20 + 99.00 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 7 + Service Indicators + M + U + % + 1 + 98.20 + 98.70 + 98.20 + 98.70 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 8 + Service Indicators + M + U + % + 1 + 98.20 + 98.70 + 98.20 + 98.50 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 9 + Service Indicators + M + U + % + 1 + 98.20 + 98.60 + 98.20 + 98.20 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 10 + Service Indicators + M + U + % + 1 + 98.20 + 98.60 + 98.20 + 98.10 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 11 + Service Indicators + M + U + % + 1 + 98.20 + 98.60 + 98.20 + 98.50 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 12 + Service Indicators + M + U + % + 1 + 98.20 + 98.60 + 98.20 + 98.80 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 1 + Service Indicators + M + U + % + 1 + 98.30 + 99.10 + 98.30 + 99.10 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 2 + Service Indicators + M + U + % + 1 + 98.30 + 98.60 + 98.30 + 98.10 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 3 + Service Indicators + M + U + % + 1 + 98.30 + 98.70 + 98.30 + 98.80 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 4 + Service Indicators + M + U + % + 1 + 98.30 + 98.60 + 98.30 + 98.40 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 5 + Service Indicators + M + U + % + 1 + 98.30 + 98.70 + 98.30 + 99.20 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 6 + Service Indicators + M + U + % + 1 + 98.30 + 98.80 + 98.30 + 99.00 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 7 + Service Indicators + M + U + % + 1 + 98.30 + 98.70 + 98.30 + 98.20 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 8 + Service Indicators + M + U + % + 1 + 98.30 + 98.70 + 98.30 + 99.10 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 9 + Service Indicators + M + U + % + 1 + 98.30 + 98.80 + 98.30 + 99.00 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 10 + Service Indicators + M + U + % + 1 + 98.30 + 98.70 + 98.30 + 97.70 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 11 + Service Indicators + M + U + % + 1 + 98.30 + 98.60 + 98.30 + 97.60 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 12 + Service Indicators + M + U + % + 1 + 98.30 + 98.50 + 98.30 + 98.10 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 1 + Service Indicators + M + U + % + 1 + 98.30 + 96.60 + 98.30 + 96.60 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 2 + Service Indicators + M + U + % + 1 + 98.30 + 97.20 + 98.30 + 97.70 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 3 + Service Indicators + M + U + % + 1 + 98.30 + 97.50 + 98.30 + 98.10 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 4 + Service Indicators + M + U + % + 1 + 98.30 + 97.70 + 98.30 + 98.50 + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 5 + Service Indicators + M + U + % + 1 + 98.30 + + 98.30 + + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 6 + Service Indicators + M + U + % + 1 + 98.30 + + 98.30 + + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 7 + Service Indicators + M + U + % + 1 + 98.30 + + 98.30 + + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 8 + Service Indicators + M + U + % + 1 + 98.30 + + 98.30 + + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 9 + Service Indicators + M + U + % + 1 + 98.30 + + 98.30 + + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 10 + Service Indicators + M + U + % + 1 + 98.30 + + 98.30 + + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 11 + Service Indicators + M + U + % + 1 + 98.30 + + 98.30 + + + + 28346 + 55526 + Metro-North Railroad + Harlem Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 12 + Service Indicators + M + U + % + 1 + 98.30 + + 98.30 + + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 1 + Service Indicators + M + U + % + 1 + 97.10 + 98.40 + 97.10 + 98.40 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 2 + Service Indicators + M + U + % + 1 + 97.10 + 98.20 + 97.10 + 98.10 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 3 + Service Indicators + M + U + % + 1 + 97.10 + 97.80 + 97.10 + 96.90 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 4 + Service Indicators + M + U + % + 1 + 97.10 + 97.90 + 97.10 + 98.30 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 5 + Service Indicators + M + U + % + 1 + 97.10 + 98.00 + 97.10 + 98.30 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 6 + Service Indicators + M + U + % + 1 + 97.10 + 97.60 + 97.10 + 95.70 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 7 + Service Indicators + M + U + % + 1 + 97.10 + 97.50 + 97.10 + 96.70 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 8 + Service Indicators + M + U + % + 1 + 97.10 + 97.40 + 97.10 + 96.90 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 9 + Service Indicators + M + U + % + 1 + 97.10 + 97.50 + 97.10 + 97.90 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 10 + Service Indicators + M + U + % + 1 + 97.10 + 97.30 + 97.10 + 95.70 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 11 + Service Indicators + M + U + % + 1 + 97.10 + 97.10 + 97.10 + 95.80 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2008 + 12 + Service Indicators + M + U + % + 1 + 97.10 + 97.00 + 97.10 + 95.30 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 1 + Service Indicators + M + U + % + 1 + 97.00 + 95.60 + 97.00 + 95.60 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 2 + Service Indicators + M + U + % + 1 + 97.00 + 96.10 + 97.00 + 96.70 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 3 + Service Indicators + M + U + % + 1 + 97.00 + 95.90 + 97.00 + 95.60 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 4 + Service Indicators + M + U + % + 1 + 97.00 + 96.40 + 97.00 + 97.70 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 5 + Service Indicators + M + U + % + 1 + 97.00 + 96.60 + 97.00 + 97.70 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 6 + Service Indicators + M + U + % + 1 + 97.00 + 96.80 + 97.00 + 97.60 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 7 + Service Indicators + M + U + % + 1 + 97.00 + 97.00 + 97.00 + 98.00 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 8 + Service Indicators + M + U + % + 1 + 97.00 + 97.20 + 97.00 + 97.50 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 9 + Service Indicators + M + U + % + 1 + 97.00 + 97.20 + 97.00 + 98.10 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 10 + Service Indicators + M + U + % + 1 + 97.00 + 97.30 + 97.00 + 98.10 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 11 + Service Indicators + M + U + % + 1 + 97.00 + 97.40 + 97.00 + 98.10 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2009 + 12 + Service Indicators + M + U + % + 1 + 97.00 + 97.20 + 97.00 + 95.70 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 1 + Service Indicators + M + U + % + 1 + 97.00 + 97.60 + 97.00 + 97.60 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 2 + Service Indicators + M + U + % + 1 + 97.00 + 97.60 + 97.00 + 97.60 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 3 + Service Indicators + M + U + % + 1 + 97.00 + 97.20 + 97.00 + 96.50 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 4 + Service Indicators + M + U + % + 1 + 97.00 + 97.20 + 97.00 + 97.20 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 5 + Service Indicators + M + U + % + 1 + 97.00 + 97.40 + 97.00 + 98.10 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 6 + Service Indicators + M + U + % + 1 + 97.00 + 97.30 + 97.00 + 97.10 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 7 + Service Indicators + M + U + % + 1 + 97.00 + 97.10 + 97.00 + 95.90 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 8 + Service Indicators + M + U + % + 1 + 97.00 + 97.30 + 97.00 + 98.10 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 9 + Service Indicators + M + U + % + 1 + 97.00 + 97.10 + 97.00 + 96.30 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 10 + Service Indicators + M + U + % + 1 + 97.00 + 97.00 + 97.00 + 95.80 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 11 + Service Indicators + M + U + % + 1 + 97.00 + 96.80 + 97.00 + 95.10 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2010 + 12 + Service Indicators + M + U + % + 1 + 97.00 + 96.80 + 97.00 + 96.40 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 1 + Service Indicators + M + U + % + 1 + 97.20 + 88.90 + 97.20 + 88.90 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 2 + Service Indicators + M + U + % + 1 + 97.20 + 90.40 + 97.20 + 92.10 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 3 + Service Indicators + M + U + % + 1 + 97.20 + 92.70 + 97.20 + 96.80 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 4 + Service Indicators + M + U + % + 1 + 97.20 + 93.90 + 97.20 + 97.00 + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 5 + Service Indicators + M + U + % + 1 + 97.20 + + 97.20 + + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 6 + Service Indicators + M + U + % + 1 + 97.20 + + 97.20 + + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 7 + Service Indicators + M + U + % + 1 + 97.20 + + 97.20 + + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 8 + Service Indicators + M + U + % + 1 + 97.20 + + 97.20 + + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 9 + Service Indicators + M + U + % + 1 + 97.20 + + 97.20 + + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 10 + Service Indicators + M + U + % + 1 + 97.20 + + 97.20 + + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 11 + Service Indicators + M + U + % + 1 + 97.20 + + 97.20 + + + + 28347 + 55526 + Metro-North Railroad + New Haven Line - OTP + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. + 2011 + 12 + Service Indicators + M + U + % + 1 + 97.20 + + 97.20 + + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2008 + 1 + Service Indicators + M + U + % + 1 + 97.60 + 98.80 + 97.60 + 98.80 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2008 + 2 + Service Indicators + M + U + % + 1 + 97.60 + 98.80 + 97.60 + 98.70 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2008 + 3 + Service Indicators + M + U + % + 1 + 97.60 + 98.20 + 97.60 + 97.00 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2008 + 4 + Service Indicators + M + U + % + 1 + 97.60 + 98.30 + 97.60 + 98.70 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2008 + 5 + Service Indicators + M + U + % + 1 + 97.60 + 98.30 + 97.60 + 98.20 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2008 + 6 + Service Indicators + M + U + % + 1 + 97.60 + 98.00 + 97.60 + 96.40 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2008 + 7 + Service Indicators + M + U + % + 1 + 97.60 + 97.90 + 97.60 + 97.20 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2008 + 8 + Service Indicators + M + U + % + 1 + 97.60 + 97.80 + 97.60 + 97.50 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2008 + 9 + Service Indicators + M + U + % + 1 + 97.60 + 97.80 + 97.60 + 97.90 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2008 + 10 + Service Indicators + M + U + % + 1 + 97.60 + 97.70 + 97.60 + 96.70 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2008 + 11 + Service Indicators + M + U + % + 1 + 97.60 + 97.60 + 97.60 + 96.80 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2008 + 12 + Service Indicators + M + U + % + 1 + 97.60 + 97.50 + 97.60 + 96.50 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2009 + 1 + Service Indicators + M + U + % + 1 + 97.60 + 96.50 + 97.60 + 96.50 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2009 + 2 + Service Indicators + M + U + % + 1 + 97.60 + 97.10 + 97.60 + 97.80 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2009 + 3 + Service Indicators + M + U + % + 1 + 97.60 + 97.20 + 97.60 + 97.40 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2009 + 4 + Service Indicators + M + U + % + 1 + 97.60 + 97.50 + 97.60 + 98.40 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2009 + 5 + Service Indicators + M + U + % + 1 + 97.60 + 97.70 + 97.60 + 98.30 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2009 + 6 + Service Indicators + M + U + % + 1 + 97.60 + 97.70 + 97.60 + 98.10 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2009 + 7 + Service Indicators + M + U + % + 1 + 97.60 + 97.80 + 97.60 + 98.20 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2009 + 8 + Service Indicators + M + U + % + 1 + 97.60 + 97.80 + 97.60 + 97.60 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2009 + 9 + Service Indicators + M + U + % + 1 + 97.60 + 97.80 + 97.60 + 98.20 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2009 + 10 + Service Indicators + M + U + % + 1 + 97.60 + 97.90 + 97.60 + 98.10 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2009 + 11 + Service Indicators + M + U + % + 1 + 97.60 + 97.90 + 97.60 + 98.20 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2009 + 12 + Service Indicators + M + U + % + 1 + 97.60 + 97.80 + 97.60 + 97.30 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2010 + 1 + Service Indicators + M + U + % + 1 + 97.70 + 98.40 + 97.70 + 98.40 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2010 + 2 + Service Indicators + M + U + % + 1 + 97.70 + 98.10 + 97.70 + 97.70 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2010 + 3 + Service Indicators + M + U + % + 1 + 97.70 + 98.00 + 97.70 + 97.80 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2010 + 4 + Service Indicators + M + U + % + 1 + 97.70 + 98.00 + 97.70 + 97.90 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2010 + 5 + Service Indicators + M + U + % + 1 + 97.70 + 98.00 + 97.70 + 98.40 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2010 + 6 + Service Indicators + M + U + % + 1 + 97.70 + 98.00 + 97.70 + 98.00 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2010 + 7 + Service Indicators + M + U + % + 1 + 97.70 + 97.90 + 97.70 + 97.00 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2010 + 8 + Service Indicators + M + U + % + 1 + 97.70 + 98.00 + 97.70 + 98.40 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2010 + 9 + Service Indicators + M + U + % + 1 + 97.70 + 97.90 + 97.70 + 97.40 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2010 + 10 + Service Indicators + M + U + % + 1 + 97.70 + 97.80 + 97.70 + 96.90 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2010 + 11 + Service Indicators + M + U + % + 1 + 97.70 + 97.70 + 97.70 + 96.60 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2010 + 12 + Service Indicators + M + U + % + 1 + 97.70 + 97.70 + 97.70 + 97.10 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2011 + 1 + Service Indicators + M + U + % + 1 + 97.80 + 93.50 + 97.80 + 93.50 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2011 + 2 + Service Indicators + M + U + % + 1 + 97.80 + 94.40 + 97.80 + 95.40 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2011 + 3 + Service Indicators + M + U + % + 1 + 97.80 + 95.60 + 97.80 + 97.60 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2011 + 4 + Service Indicators + M + U + % + 1 + 97.80 + 96.20 + 97.80 + 97.90 + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2011 + 5 + Service Indicators + M + U + % + 1 + 97.80 + + 97.80 + + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2011 + 6 + Service Indicators + M + U + % + 1 + 97.80 + + 97.80 + + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2011 + 7 + Service Indicators + M + U + % + 1 + 97.80 + + 97.80 + + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2011 + 8 + Service Indicators + M + U + % + 1 + 97.80 + + 97.80 + + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2011 + 9 + Service Indicators + M + U + % + 1 + 97.80 + + 97.80 + + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2011 + 10 + Service Indicators + M + U + % + 1 + 97.80 + + 97.80 + + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2011 + 11 + Service Indicators + M + U + % + 1 + 97.80 + + 97.80 + + + + 55526 + + Metro-North Railroad + On-Time Performance (East of Hudson) + Percent of commuter trains that arrive at their destinations within 5 minutes and 59 seconds of the scheduled time. East of Hudson service includes the Harlem, Hudson and New Haven lines. + 2011 + 12 + Service Indicators + M + U + % + 1 + 97.80 + + 97.80 + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 6 + Service Indicators + M + U + % + 1 + + + + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 7 + Service Indicators + M + U + % + 1 + + + + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 8 + Service Indicators + M + U + % + 1 + + + + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 9 + Service Indicators + M + U + % + 1 + + + + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 11 + Service Indicators + M + U + % + 1 + + + + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 98.00 + + 98.00 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 98.00 + + 98.00 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 98.60 + + 100.00 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 98.95 + + 100.00 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 98.96 + + 99.00 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 98.97 + + 99.00 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 99.07 + + 100.00 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 99.05 + + 99.00 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 99.09 + + 99.00 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 99.14 + + 99.60 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 99.16 + + 98.40 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 99.21 + + 99.80 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 1 + Service Indicators + M + U + % + 1 + 97.00 + 99.75 + 97.00 + 99.75 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 2 + Service Indicators + M + U + % + 1 + 97.00 + 99.19 + 97.00 + 98.58 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 3 + Service Indicators + M + U + % + 1 + 97.00 + 98.74 + 97.00 + 97.88 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 4 + Service Indicators + M + U + % + 1 + 97.00 + 98.90 + 97.00 + 99.38 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 5 + Service Indicators + M + U + % + 1 + 97.00 + 98.85 + 97.00 + 99.20 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 6 + Service Indicators + M + U + % + 1 + 97.00 + 98.60 + 97.00 + 97.60 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 7 + Service Indicators + M + U + % + 1 + 97.00 + 98.44 + 97.00 + 97.30 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 8 + Service Indicators + M + U + % + 1 + 97.00 + 98.27 + 97.00 + 97.10 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 9 + Service Indicators + M + U + % + 1 + 97.00 + 98.34 + 97.00 + 98.97 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 10 + Service Indicators + M + U + % + 1 + 97.00 + 98.36 + 97.00 + 98.60 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 11 + Service Indicators + M + U + % + 1 + 97.00 + 98.48 + 97.00 + 99.64 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 12 + Service Indicators + M + U + % + 1 + 97.00 + 98.48 + 97.00 + 98.47 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 1 + Service Indicators + M + U + % + 1 + 97.00 + 99.37 + 97.00 + 99.37 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 2 + Service Indicators + M + U + % + 1 + 97.00 + 99.93 + 97.00 + 99.86 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 3 + Service Indicators + M + U + % + 1 + 97.00 + 99.52 + 97.00 + 99.37 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 4 + Service Indicators + M + U + % + 1 + 97.00 + 99.46 + 97.00 + 99.82 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 5 + Service Indicators + M + U + % + 1 + 97.00 + 99.54 + 97.00 + 99.76 + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 6 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 7 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 8 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 9 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 10 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 11 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 373885 + + Metro-North Railroad + Elevator Availability + Percent of the time that elevators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 12 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 6 + Service Indicators + M + U + % + 1 + + + + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 7 + Service Indicators + M + U + % + 1 + + + + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 8 + Service Indicators + M + U + % + 1 + + + + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 9 + Service Indicators + M + U + % + 1 + + + + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 11 + Service Indicators + M + U + % + 1 + + + + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2008 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 91.00 + + 91.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 91.00 + + 91.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 93.66 + + 99.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 95.25 + + 100.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 95.00 + + 94.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 95.33 + + 97.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 95.14 + + 94.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 95.38 + + 97.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 95.70 + + 98.30 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 96.00 + + 98.70 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 96.21 + + 98.10 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 96.50 + + 100.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 1 + Service Indicators + M + U + % + 1 + 97.00 + 97.95 + 97.00 + 97.95 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 2 + Service Indicators + M + U + % + 1 + 97.00 + 98.92 + 97.00 + 100.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 3 + Service Indicators + M + U + % + 1 + 97.00 + 99.29 + 97.00 + 100.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 4 + Service Indicators + M + U + % + 1 + 97.00 + 99.47 + 97.00 + 100.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 5 + Service Indicators + M + U + % + 1 + 97.00 + 99.58 + 97.00 + 100.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 6 + Service Indicators + M + U + % + 1 + 97.00 + 98.19 + 97.00 + 91.21 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 7 + Service Indicators + M + U + % + 1 + 97.00 + 98.46 + 97.00 + 100.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 8 + Service Indicators + M + U + % + 1 + 97.00 + 98.69 + 97.00 + 100.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 9 + Service Indicators + M + U + % + 1 + 97.00 + 98.30 + 97.00 + 95.20 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 10 + Service Indicators + M + U + % + 1 + 97.00 + 97.55 + 97.00 + 90.91 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 11 + Service Indicators + M + U + % + 1 + 97.00 + 97.47 + 97.00 + 96.67 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2010 + 12 + Service Indicators + M + U + % + 1 + 97.00 + 96.84 + 97.00 + 90.03 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 1 + Service Indicators + M + U + % + 1 + 97.00 + 100.00 + 97.00 + 100.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 2 + Service Indicators + M + U + % + 1 + 97.00 + 100.00 + 97.00 + 100.00 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 3 + Service Indicators + M + U + % + 1 + 97.00 + 98.86 + 97.00 + 97.07 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 4 + Service Indicators + M + U + % + 1 + 97.00 + 98.76 + 97.00 + 98.18 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 5 + Service Indicators + M + U + % + 1 + 97.00 + 90.91 + 97.00 + 79.18 + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 6 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 7 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 8 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 9 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 10 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 11 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + + 373889 + + Metro-North Railroad + Escalator Availability + Percent of the time that escalators are operational systemwide. The availability rate is based on physical observations performed the morning of regular business days only. This is a new indicator the agency began reporting in 2009. + 2011 + 12 + Service Indicators + M + U + % + 1 + 97.00 + + 97.00 + + + \ No newline at end of file diff --git a/datasets/mta_perf/Performance_MNR.xsd b/datasets/mta_perf/Performance_MNR.xsd new file mode 100644 index 000000000..d99ad1840 --- /dev/null +++ b/datasets/mta_perf/Performance_MNR.xsd @@ -0,0 +1,96 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/datasets/mta_perf/Performance_MTABUS.xml b/datasets/mta_perf/Performance_MTABUS.xml new file mode 100644 index 000000000..225b7b04d --- /dev/null +++ b/datasets/mta_perf/Performance_MTABUS.xml @@ -0,0 +1,12963 @@ + + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2008 + 1 + Service Indicators + M + U + - + 0 + 3,767.00 + 4,818.00 + 3,478.00 + 4,818.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2008 + 2 + Service Indicators + M + U + - + 0 + 3,767.00 + 4,772.00 + 3,442.00 + 4,722.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2008 + 3 + Service Indicators + M + U + - + 0 + 3,767.00 + 4,920.00 + 3,849.00 + 5,242.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2008 + 4 + Service Indicators + M + U + - + 0 + 3,767.00 + 5,000.00 + 4,050.00 + 5,251.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2008 + 5 + Service Indicators + M + U + - + 0 + 3,767.00 + 4,868.00 + 3,299.00 + 4,405.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2008 + 6 + Service Indicators + M + U + - + 0 + 3,767.00 + 4,718.00 + 3,260.00 + 4,115.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2008 + 7 + Service Indicators + M + U + - + 0 + 3,767.00 + 4,603.00 + 3,336.00 + 4,010.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2008 + 8 + Service Indicators + M + U + - + 0 + 3,767.00 + 4,568.00 + 3,401.00 + 4,342.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2008 + 9 + Service Indicators + M + U + - + 0 + 3,767.00 + 4,542.00 + 4,726.00 + 4,343.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2008 + 10 + Service Indicators + M + U + - + 0 + 3,767.00 + 4,536.00 + 3,767.00 + 5,103.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2008 + 11 + Service Indicators + M + U + - + 0 + 3,767.00 + 4,653.00 + 3,767.00 + 5,354.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2008 + 12 + Service Indicators + M + U + - + 0 + 3,767.00 + 4,631.00 + 3,767.00 + 4,418.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2009 + 1 + Service Indicators + M + U + - + 0 + 4,300.00 + 3,924.00 + 4,514.00 + 3,924.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2009 + 2 + Service Indicators + M + U + - + 0 + 4,300.00 + 3,919.00 + 4,145.00 + 3,914.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2009 + 3 + Service Indicators + M + U + - + 0 + 4,300.00 + 3,782.00 + 4,500.00 + 3,550.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2009 + 4 + Service Indicators + M + U + - + 0 + 4,300.00 + 3,740.00 + 4,630.00 + 3,625.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2009 + 5 + Service Indicators + M + U + - + 0 + 4,300.00 + 3,614.00 + 4,138.00 + 3,171.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2009 + 6 + Service Indicators + M + U + - + 0 + 4,300.00 + 3,418.00 + 3,785.00 + 2,699.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2009 + 7 + Service Indicators + M + U + - + 0 + 4,300.00 + 3,352.00 + 3,806.00 + 3,008.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2009 + 8 + Service Indicators + M + U + - + 0 + 4,300.00 + 3,275.00 + 4,106.00 + 2,815.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2009 + 9 + Service Indicators + M + U + - + 0 + 4,300.00 + 3,284.00 + 4,399.00 + 3,366.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2009 + 10 + Service Indicators + M + U + - + 0 + 4,268.00 + 3,320.00 + 4,880.00 + 3,667.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2009 + 11 + Service Indicators + M + U + - + 0 + 4,300.00 + 3,380.00 + 4,680.00 + 4,170.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2009 + 12 + Service Indicators + M + U + - + 0 + 4,300.00 + 3,372.00 + 4,294.00 + 3,294.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2010 + 1 + Service Indicators + M + U + - + 0 + 3,648.00 + 3,595.00 + 3,648.00 + 3,595.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2010 + 2 + Service Indicators + M + U + - + 0 + 3,721.00 + 3,809.00 + 3,805.00 + 4,067.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2010 + 3 + Service Indicators + M + U + - + 0 + 3,766.00 + 3,634.00 + 3,851.00 + 3,353.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2010 + 4 + Service Indicators + M + U + - + 0 + 3,743.00 + 3,662.00 + 3,677.00 + 3,743.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2010 + 5 + Service Indicators + M + U + - + 0 + 3,653.00 + 3,575.00 + 3,334.00 + 3,259.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2010 + 6 + Service Indicators + M + U + - + 0 + 3,540.00 + 3,502.00 + 3,069.00 + 3,184.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2010 + 7 + Service Indicators + M + U + - + 0 + 3,495.00 + 3,383.00 + 3,251.00 + 2,813.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2010 + 8 + Service Indicators + M + U + - + 0 + 3,461.00 + 3,347.00 + 3,239.00 + 3,119.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2010 + 9 + Service Indicators + M + U + - + 0 + 3,505.00 + 3,363.00 + 3,906.00 + 3,494.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2010 + 10 + Service Indicators + M + U + - + 0 + 3,553.00 + 3,380.00 + 4,025.00 + 3,426.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2010 + 11 + Service Indicators + M + U + - + 0 + 3,616.00 + 3,426.00 + 4,436.00 + 3,415.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2010 + 12 + Service Indicators + M + U + - + 0 + 3,616.00 + 3,438.00 + 3,614.00 + 3,585.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2011 + 1 + Service Indicators + M + U + - + 0 + 3,634.00 + 3,162.00 + 3,634.00 + 3,162.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2011 + 2 + Service Indicators + M + U + - + 0 + 3,707.00 + 3,105.00 + 3,791.00 + 3,047.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2011 + 3 + Service Indicators + M + U + - + 0 + 3,752.00 + 3,285.00 + 3,837.00 + 3,650.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2011 + 4 + Service Indicators + M + U + - + 0 + 3,729.00 + 3,393.00 + 3,663.00 + 3,759.00 + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2011 + 5 + Service Indicators + M + U + - + 0 + 3,640.00 + + 3,322.00 + + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2011 + 6 + Service Indicators + M + U + - + 0 + 3,527.00 + + 3,058.00 + + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2011 + 7 + Service Indicators + M + U + - + 0 + 3,482.00 + + 3,239.00 + + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2011 + 8 + Service Indicators + M + U + - + 0 + 3,449.00 + + 3,227.00 + + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2011 + 9 + Service Indicators + M + U + - + 0 + 3,492.00 + + 3,892.00 + + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2011 + 10 + Service Indicators + M + U + - + 0 + 3,540.00 + + 4,007.00 + + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2011 + 11 + Service Indicators + M + U + - + 0 + 3,587.00 + + 4,158.00 + + + + 166787 + 166587 + MTA Bus + Mean Distance Between Failures - MTA Bus + Average number of miles a bus travels between mechanical failures + 2011 + 12 + Service Indicators + M + U + - + 0 + 3,603.00 + + 3,792.00 + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 1 + Safety Indicators + M + D + - + 2 + + + + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 2 + Safety Indicators + M + D + - + 2 + + + + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 3 + Safety Indicators + M + D + - + 2 + + + + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 4 + Safety Indicators + M + D + - + 2 + + + + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 5 + Safety Indicators + M + D + - + 2 + + + + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 6 + Safety Indicators + M + D + - + 2 + + + + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 7 + Safety Indicators + M + D + - + 2 + + + + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 8 + Safety Indicators + M + D + - + 2 + + + + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 9 + Safety Indicators + M + D + - + 2 + + + + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 10 + Safety Indicators + M + D + - + 2 + + + + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 11 + Safety Indicators + M + D + - + 2 + + + + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 12 + Safety Indicators + M + D + - + 2 + + 1.41 + + .00 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 1.38 + 2.12 + 1.38 + 2.12 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 1.38 + 1.72 + 1.38 + 1.30 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 1.38 + 1.64 + 1.38 + 1.50 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 1.38 + 1.42 + 1.38 + .79 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 1.38 + 1.71 + 1.38 + 2.80 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 1.38 + 1.63 + 1.38 + 1.28 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 1.38 + 1.63 + 1.38 + 1.28 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 1.38 + 1.52 + 1.38 + 1.74 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 1.38 + 1.48 + 1.38 + 1.17 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 1.39 + 1.41 + 1.39 + .82 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 1.39 + 1.35 + 1.39 + .80 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 1.39 + 1.33 + 1.39 + 1.01 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 1.29 + 1.31 + 1.29 + 1.31 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 1.29 + 1.42 + 1.29 + 1.54 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 1.29 + 1.27 + 1.29 + 1.03 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 1.29 + 1.24 + 1.29 + 1.17 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 1.29 + 1.27 + 1.29 + 1.36 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 1.29 + 1.27 + 1.29 + 1.25 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 1.29 + 1.36 + 1.29 + 1.96 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 1.29 + 1.27 + 1.29 + .63 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 1.29 + 1.27 + 1.29 + 1.27 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 1.29 + 1.27 + 1.29 + 1.21 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 1.29 + 1.31 + 1.29 + 1.76 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 1.29 + 1.29 + 1.29 + 1.17 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 1 + Safety Indicators + M + D + - + 2 + 1.27 + 1.01 + 1.27 + 1.01 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 2 + Safety Indicators + M + D + - + 2 + 1.27 + 1.01 + 1.27 + 1.02 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 3 + Safety Indicators + M + D + - + 2 + 1.27 + 1.21 + 1.27 + .83 + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 4 + Safety Indicators + M + D + - + 2 + 1.27 + + 1.25 + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 5 + Safety Indicators + M + D + - + 2 + 1.27 + + 1.27 + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 6 + Safety Indicators + M + D + - + 2 + 1.27 + + 1.27 + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 7 + Safety Indicators + M + D + - + 2 + 1.27 + + 1.27 + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 8 + Safety Indicators + M + D + - + 2 + 1.27 + + 1.27 + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 9 + Safety Indicators + M + D + - + 2 + 1.27 + + 1.27 + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 10 + Safety Indicators + M + D + - + 2 + 1.27 + + 1.27 + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 11 + Safety Indicators + M + D + - + 2 + 1.27 + + 1.27 + + + + 166824 + 166624 + MTA Bus + Customer Accident Injury Rate - MTA Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 12 + Safety Indicators + M + D + - + 2 + 1.27 + + 1.27 + + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 1 + Service Indicators + M + U + - + 0 + 116,469,472.00 + 9,528,068.00 + 9,528,068.00 + 9,528,068.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 2 + Service Indicators + M + U + - + 0 + 116,469,472.00 + 18,615,773.00 + 9,528,068.00 + 9,087,705.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 3 + Service Indicators + M + U + - + 0 + 116,469,472.00 + 28,761,029.00 + 9,528,068.00 + 10,145,256.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 4 + Service Indicators + M + U + - + 0 + 116,469,472.00 + 38,995,644.00 + 9,528,068.00 + 10,234,615.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 5 + Service Indicators + M + U + - + 0 + 116,469,472.00 + 49,486,786.00 + 9,528,068.00 + 10,491,142.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 6 + Service Indicators + M + U + - + 0 + 116,469,472.00 + 59,557,101.00 + 9,528,068.00 + 10,070,315.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 7 + Service Indicators + M + U + - + 0 + 116,469,472.00 + 69,647,895.00 + 9,528,068.00 + 10,090,794.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 8 + Service Indicators + M + U + - + 0 + 116,469,472.00 + 79,299,636.00 + 9,528,068.00 + 9,651,741.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 9 + Service Indicators + M + U + - + 0 + 116,469,472.00 + 90,097,705.00 + 9,528,068.00 + 10,798,069.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 10 + Service Indicators + M + U + - + 0 + 116,469,472.00 + 101,339,852.00 + 9,528,068.00 + 11,242,147.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 11 + Service Indicators + M + U + - + 0 + 116,469,472.00 + 111,013,174.00 + 9,528,068.00 + 9,673,322.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 12 + Service Indicators + M + U + - + 0 + 116,469,472.00 + 121,027,750.00 + 9,528,068.00 + 10,014,576.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 1 + Service Indicators + M + U + - + 0 + 9,462,000.00 + 9,439,157.00 + 9,462,000.00 + 9,439,157.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 2 + Service Indicators + M + U + - + 0 + 18,921,000.00 + 18,652,170.00 + 9,459,000.00 + 9,213,013.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 3 + Service Indicators + M + U + - + 0 + 28,961,000.00 + 29,310,764.00 + 10,040,000.00 + 10,658,594.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 4 + Service Indicators + M + U + - + 0 + 38,634,000.00 + 39,439,612.00 + 9,673,000.00 + 10,128,848.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 5 + Service Indicators + M + U + - + 0 + 49,270,000.00 + 49,782,906.00 + 10,636,000.00 + 10,343,294.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 6 + Service Indicators + M + U + - + 0 + 59,736,000.00 + 59,948,436.00 + 10,466,000.00 + 10,165,530.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 7 + Service Indicators + M + U + - + 0 + 69,675,000.00 + 69,615,636.00 + 9,939,000.00 + 9,667,200.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 8 + Service Indicators + M + U + - + 0 + 79,145,000.00 + 78,836,148.00 + 9,470,000.00 + 9,220,512.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 9 + Service Indicators + M + U + - + 0 + 88,812,000.00 + 89,088,786.00 + 9,667,000.00 + 10,252,638.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 10 + Service Indicators + M + U + - + 0 + 98,479,000.00 + 100,053,444.00 + 9,667,000.00 + 10,964,658.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 11 + Service Indicators + M + U + - + 0 + 108,806,000.00 + 110,096,019.00 + 10,327,000.00 + 10,042,575.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 12 + Service Indicators + M + U + - + 0 + 118,664,000.00 + 119,992,505.00 + 9,858,000.00 + 9,896,486.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 1 + Service Indicators + M + U + - + 0 + 9,261,491.00 + 9,172,447.00 + 9,261,491.00 + 9,172,447.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 2 + Service Indicators + M + U + - + 0 + 18,274,248.00 + 17,630,636.00 + 9,012,757.00 + 8,458,189.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 3 + Service Indicators + M + U + - + 0 + 28,723,125.00 + 28,262,621.00 + 10,448,877.00 + 10,631,985.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 4 + Service Indicators + M + U + - + 0 + 38,640,504.00 + 38,537,565.00 + 9,917,379.00 + 10,274,944.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 5 + Service Indicators + M + U + - + 0 + 48,774,227.00 + 48,806,564.00 + 10,133,723.00 + 10,268,999.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 6 + Service Indicators + M + U + - + 0 + 58,745,852.00 + 60,289,206.00 + 9,971,625.00 + 11,482,642.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 7 + Service Indicators + M + U + - + 0 + 68,215,584.00 + 69,997,759.00 + 9,469,732.00 + 9,708,553.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 8 + Service Indicators + M + U + - + 0 + 77,238,804.00 + 79,595,721.00 + 9,023,220.00 + 9,597,962.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 9 + Service Indicators + M + U + - + 0 + 87,277,047.00 + 89,819,056.00 + 10,038,243.00 + 10,223,335.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 10 + Service Indicators + M + U + - + 0 + 98,026,204.00 + 100,583,116.00 + 10,749,157.00 + 10,764,060.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 11 + Service Indicators + M + U + - + 0 + 107,865,301.00 + 110,793,213.00 + 9,839,097.00 + 10,210,097.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 12 + Service Indicators + M + U + - + 0 + 117,557,001.00 + 119,733,630.00 + 9,691,700.00 + 8,940,417.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 1 + Service Indicators + M + U + - + 0 + 10,485,000.00 + 8,940,417.00 + 10,485,000.00 + 8,940,417.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 2 + Service Indicators + M + U + - + 0 + 19,718,000.00 + 17,756,342.00 + 9,233,000.00 + 8,815,925.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 3 + Service Indicators + M + U + - + 0 + 29,743,000.00 + 28,545,150.00 + 10,025,000.00 + 10,788,808.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 4 + Service Indicators + M + U + - + 0 + 39,890,000.00 + 38,238,187.00 + 10,147,000.00 + 9,693,037.00 + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 5 + Service Indicators + M + U + - + 0 + 49,989,000.00 + + 10,099,000.00 + + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 6 + Service Indicators + M + U + - + 0 + 59,750,000.00 + + 9,761,000.00 + + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 7 + Service Indicators + M + U + - + 0 + 70,235,000.00 + + 10,485,000.00 + + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 8 + Service Indicators + M + U + - + 0 + 80,260,000.00 + + 10,025,000.00 + + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 9 + Service Indicators + M + U + - + 0 + 90,021,000.00 + + 9,761,000.00 + + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 10 + Service Indicators + M + U + - + 0 + 100,506,000.00 + + 10,485,000.00 + + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 11 + Service Indicators + M + U + - + 0 + 110,267,000.00 + + 9,761,000.00 + + + + 204143 + 203943 + MTA Bus + Total Ridership - MTA Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train, bus-to-bus) are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 12 + Service Indicators + M + U + - + 0 + 120,605,000.00 + + 10,338,000.00 + + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 1 + Safety Indicators + M + D + - + 2 + 6.00 + 5.04 + 6.00 + 5.04 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 2 + Safety Indicators + M + D + - + 2 + 6.00 + 5.03 + 6.00 + 5.03 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 3 + Safety Indicators + M + D + - + 2 + 6.00 + 4.31 + 6.00 + 2.87 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 4 + Safety Indicators + M + D + - + 2 + 6.00 + 5.39 + 6.00 + 8.60 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 5 + Safety Indicators + M + D + - + 2 + 6.00 + 5.72 + 6.00 + 7.04 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 6 + Safety Indicators + M + D + - + 2 + 6.00 + 5.95 + 6.00 + 7.05 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 7 + Safety Indicators + M + D + - + 2 + 6.00 + 5.80 + 6.00 + 4.92 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 8 + Safety Indicators + M + D + - + 2 + 6.00 + 5.92 + 6.00 + 6.73 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 9 + Safety Indicators + M + D + - + 2 + 6.00 + 6.12 + 6.00 + 7.74 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 10 + Safety Indicators + M + D + - + 2 + 6.00 + 6.16 + 6.00 + 6.54 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 11 + Safety Indicators + M + D + - + 2 + 6.00 + 6.10 + 6.00 + 5.46 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2008 + 12 + Safety Indicators + M + D + - + 2 + 6.00 + 6.20 + 6.00 + 7.32 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 6.00 + 9.45 + 6.00 + 9.45 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 6.00 + 9.27 + 6.00 + 9.08 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 6.00 + 10.57 + 6.00 + 13.19 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 6.00 + 10.66 + 6.00 + 10.92 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 6.00 + 10.36 + 6.00 + 9.16 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 6.00 + 11.01 + 6.00 + 14.32 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 6.00 + 11.64 + 6.00 + 15.32 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 6.00 + 11.37 + 6.00 + 9.52 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 6.00 + 11.07 + 6.00 + 8.79 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 6.00 + 10.90 + 6.00 + 9.38 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 6.00 + 10.56 + 6.00 + 7.48 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 6.00 + 10.52 + 6.00 + 8.47 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 10.20 + 9.61 + 10.20 + 9.61 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 10.20 + 10.54 + 10.20 + 11.47 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 10.20 + 10.04 + 10.20 + 9.03 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 10.20 + 9.27 + 10.20 + 6.92 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 10.20 + 10.03 + 10.20 + 13.12 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 10.20 + 10.26 + 10.20 + 11.42 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 10.20 + 9.89 + 10.20 + 7.66 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 10.20 + 9.86 + 10.20 + 9.70 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 10.20 + 9.65 + 10.20 + 7.59 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 10.20 + 9.78 + 10.20 + 10.92 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 10.20 + 9.51 + 10.20 + 6.47 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 10.20 + 9.47 + 10.20 + 9.01 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 1 + Safety Indicators + M + D + - + 2 + 9.19 + 10.86 + 9.19 + 10.86 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 2 + Safety Indicators + M + D + - + 2 + 9.19 + 8.29 + 9.19 + 5.85 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 3 + Safety Indicators + M + D + - + 2 + 9.19 + 8.46 + 9.19 + 8.80 + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 4 + Safety Indicators + M + D + - + 2 + 9.19 + + 9.19 + + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 5 + Safety Indicators + M + D + - + 2 + 9.19 + + 9.19 + + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 6 + Safety Indicators + M + D + - + 2 + 9.19 + + 9.19 + + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 7 + Safety Indicators + M + D + - + 2 + 9.19 + + 9.19 + + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 8 + Safety Indicators + M + D + - + 2 + 9.19 + + 9.19 + + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 9 + Safety Indicators + M + D + - + 2 + 9.19 + + 9.19 + + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 10 + Safety Indicators + M + D + - + 2 + 9.19 + + 9.19 + + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 11 + Safety Indicators + M + D + - + 2 + 9.19 + + 9.19 + + + + 247825 + 247625 + MTA Bus + Employee Lost Time Rate - MTA Bus + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift following the day of the incident. The rate is injuries and illness per 100 employees. + 2011 + 12 + Safety Indicators + M + D + - + 2 + 9.19 + + 9.19 + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 1 + Safety Indicators + M + D + - + 2 + + + + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 2 + Safety Indicators + M + D + - + 2 + + + + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 3 + Safety Indicators + M + D + - + 2 + + + + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 4 + Safety Indicators + M + D + - + 2 + + + + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 5 + Safety Indicators + M + D + - + 2 + + + + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 6 + Safety Indicators + M + D + - + 2 + + + + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 7 + Safety Indicators + M + D + - + 2 + + + + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 8 + Safety Indicators + M + D + - + 2 + + + + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 9 + Safety Indicators + M + D + - + 2 + + + + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 10 + Safety Indicators + M + D + - + 2 + + + + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 11 + Safety Indicators + M + D + - + 2 + + + + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 12 + Safety Indicators + M + D + - + 2 + + 5.49 + + .00 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 5.38 + 3.20 + 5.38 + 3.20 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 5.38 + 3.01 + 5.38 + 2.80 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 5.38 + 3.37 + 5.38 + 4.05 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 5.38 + 3.71 + 5.38 + 4.70 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 5.38 + 3.38 + 5.38 + 2.00 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 5.38 + 4.38 + 5.38 + 9.29 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 5.38 + 4.38 + 5.38 + 9.29 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 5.38 + 4.33 + 5.38 + 2.30 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 5.38 + 4.36 + 5.38 + 4.65 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 5.38 + 4.46 + 5.38 + 5.32 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 5.38 + 4.43 + 5.38 + 4.10 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 5.38 + 4.38 + 5.38 + 3.87 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 4.25 + 3.43 + 4.25 + 3.43 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 4.25 + 4.78 + 4.25 + 6.23 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 4.25 + 4.44 + 4.25 + 3.82 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 4.25 + 5.07 + 4.25 + 6.91 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 4.25 + 5.91 + 4.25 + 9.31 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 4.25 + 6.09 + 4.25 + 7.01 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 4.25 + 6.23 + 4.25 + 7.08 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 4.25 + 6.75 + 4.25 + 10.30 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 4.25 + 6.42 + 4.25 + 3.74 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 4.25 + 6.21 + 4.25 + 4.37 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 4.25 + 6.13 + 4.25 + 5.22 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 4.25 + 5.96 + 4.25 + 3.98 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 1 + Safety Indicators + M + D + - + 2 + 5.78 + 6.17 + 5.78 + 6.17 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 2 + Safety Indicators + M + D + - + 2 + 5.78 + 4.10 + 5.78 + 1.92 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 3 + Safety Indicators + M + D + - + 2 + 5.78 + 5.98 + 5.78 + 5.15 + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 4 + Safety Indicators + M + D + - + 2 + 5.78 + + 5.78 + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 5 + Safety Indicators + M + D + - + 2 + 5.78 + + 5.78 + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 6 + Safety Indicators + M + D + - + 2 + 5.78 + + 5.78 + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 7 + Safety Indicators + M + D + - + 2 + 5.78 + + 5.78 + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 8 + Safety Indicators + M + D + - + 2 + 5.78 + + 5.78 + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 9 + Safety Indicators + M + D + - + 2 + 5.78 + + 5.78 + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 10 + Safety Indicators + M + D + - + 2 + 5.78 + + 5.78 + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 11 + Safety Indicators + M + D + - + 2 + 5.78 + + 5.78 + + + + 304492 + 304490 + MTA Bus + Collisions with Injury Rate - MTA Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 12 + Safety Indicators + M + D + - + 2 + 5.78 + + 5.78 + + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2008 + 1 + Service Indicators + M + U + % + 2 + 99.54 + 99.47 + 99.54 + 99.47 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2008 + 2 + Service Indicators + M + U + % + 2 + 99.54 + 99.12 + 99.54 + 99.15 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2008 + 3 + Service Indicators + M + U + % + 2 + 99.54 + 99.27 + 99.54 + 99.16 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2008 + 4 + Service Indicators + M + U + % + 2 + 99.54 + 99.28 + 99.54 + 99.31 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2008 + 5 + Service Indicators + M + U + % + 2 + 99.54 + 99.33 + 99.54 + 99.55 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2008 + 6 + Service Indicators + M + U + % + 2 + 99.54 + 99.33 + 99.54 + 97.91 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2008 + 7 + Service Indicators + M + U + % + 2 + 99.54 + 99.17 + 99.54 + 99.60 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2008 + 8 + Service Indicators + M + U + % + 2 + 99.54 + 99.22 + 99.54 + 99.56 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2008 + 9 + Service Indicators + M + U + % + 2 + 99.54 + 99.23 + 99.54 + 99.31 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2008 + 10 + Service Indicators + M + U + % + 2 + 99.54 + 99.27 + 99.54 + 99.62 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2008 + 11 + Service Indicators + M + U + % + 2 + 99.54 + 99.31 + 99.54 + 99.78 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2008 + 12 + Service Indicators + M + U + % + 2 + 99.54 + 99.30 + 99.54 + 99.50 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2009 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.55 + 99.40 + 99.55 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2009 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.47 + 99.40 + 99.39 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2009 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.24 + 99.40 + 98.82 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2009 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.20 + 99.40 + 99.20 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2009 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.09 + 99.40 + 98.58 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2009 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.02 + 99.40 + 98.65 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2009 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 98.95 + 99.40 + 98.54 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2009 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 98.85 + 99.40 + 98.17 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2009 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 98.88 + 99.40 + 99.08 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2009 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 98.90 + 99.40 + 99.10 + + + 374929 + + MTA Bus + % of Completed Trips - MTA Bus + The percent of total scheduled bus trips completed + 2009 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 98.93 + 99.40 + 99.21 + + + 374929 + + MTA Bus + % of Completed Trips - 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% of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 96.75 + 99.40 + 96.20 + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 96.68 + 99.40 + 96.20 + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 97.69 + 99.40 + 97.91 + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 97.62 + 99.40 + 97.00 + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 97.66 + 99.40 + 98.06 + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 96.70 + 99.40 + 95.55 + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 1 + Service Indicators + M + U + % + 2 + 99.36 + 94.33 + 99.36 + 94.33 + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 2 + Service Indicators + M + U + % + 2 + 99.36 + 94.48 + 99.36 + 94.65 + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 3 + Service Indicators + M + U + % + 2 + 99.36 + 94.97 + 99.36 + 95.87 + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 4 + Service Indicators + M + U + % + 2 + 99.36 + 95.31 + 99.36 + 96.31 + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 5 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 6 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 7 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 8 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 9 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 10 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 11 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374936 + 374929 + MTA Bus + College Point Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 12 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.69 + 99.40 + 99.69 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.70 + 99.40 + 99.71 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.77 + 99.40 + 99.95 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.83 + 99.40 + 99.97 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.85 + 99.40 + 99.95 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.86 + 99.40 + 99.90 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.87 + 99.40 + 99.95 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.88 + 99.40 + 99.94 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.88 + 99.40 + 99.89 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.88 + 99.40 + 99.83 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.88 + 99.40 + 99.96 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 99.88 + 99.40 + 99.84 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.90 + 99.40 + 99.90 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.63 + 99.40 + 99.40 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.41 + 99.40 + 99.04 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.38 + 99.40 + 99.31 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.25 + 99.40 + 98.75 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.20 + 99.40 + 98.98 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.16 + 99.40 + 98.90 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.06 + 99.40 + 98.41 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.04 + 99.40 + 98.91 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.04 + 99.40 + 99.04 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.03 + 99.40 + 98.92 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 98.79 + 99.40 + 96.28 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.05 + 99.40 + 99.05 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 98.64 + 99.40 + 98.20 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 98.47 + 99.40 + 98.14 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 98.40 + 99.40 + 98.18 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 98.12 + 99.40 + 97.00 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 97.74 + 99.40 + 95.88 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 97.77 + 99.40 + 97.94 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 97.85 + 99.40 + 98.37 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 98.70 + 99.40 + 99.12 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 98.70 + 99.40 + 98.70 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 98.65 + 99.40 + 98.12 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 97.71 + 99.40 + 94.68 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 1 + Service Indicators + M + U + % + 2 + 99.36 + 95.30 + 99.36 + 95.30 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 2 + Service Indicators + M + U + % + 2 + 99.36 + 96.61 + 99.36 + 98.03 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 3 + Service Indicators + M + U + % + 2 + 99.36 + 97.26 + 99.36 + 98.46 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 4 + Service Indicators + M + U + % + 2 + 99.36 + 97.50 + 99.36 + 98.23 + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 5 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 6 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 7 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 8 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 9 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 10 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 11 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374937 + 374929 + MTA Bus + Baisley Park Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 12 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2008 + 1 + Service Indicators + M + N + - + 0 + + 2,727.00 + + 2,727.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2008 + 2 + Service Indicators + M + N + - + 0 + + 5,365.00 + + 2,638.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2008 + 3 + Service Indicators + M + N + - + 0 + + 8,498.00 + + 3,133.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2008 + 4 + Service Indicators + M + N + - + 0 + + 12,953.00 + + 4,455.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2008 + 5 + Service Indicators + M + N + - + 0 + + 17,316.00 + + 4,363.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2008 + 6 + Service Indicators + M + N + - + 0 + + 21,756.00 + + 4,440.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2008 + 7 + Service Indicators + M + N + - + 0 + + 26,532.00 + + 4,776.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2008 + 8 + Service Indicators + M + N + - + 0 + + 31,011.00 + + 4,479.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2008 + 9 + Service Indicators + M + N + - + 0 + + 35,553.00 + + 4,542.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2008 + 10 + Service Indicators + M + N + - + 0 + + 40,314.00 + + 4,761.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2008 + 11 + Service Indicators + M + N + - + 0 + + 44,009.00 + + 3,695.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2008 + 12 + Service Indicators + M + N + - + 0 + + 47,240.00 + + 3,231.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2009 + 1 + Service Indicators + M + N + - + 0 + + 2,828.00 + + 2,828.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2009 + 2 + Service Indicators + M + N + - + 0 + + 5,687.00 + + 2,859.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2009 + 3 + Service Indicators + M + N + - + 0 + + 9,342.00 + + 3,655.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2009 + 4 + Service Indicators + M + N + - + 0 + + 13,249.00 + + 3,907.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2009 + 5 + Service Indicators + M + N + - + 0 + + 17,382.00 + + 4,133.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2009 + 6 + Service Indicators + M + N + - + 0 + + 21,400.00 + + 4,018.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2009 + 7 + Service Indicators + M + N + - + 0 + + 25,526.00 + + 4,126.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2009 + 8 + Service Indicators + M + N + - + 0 + + 29,430.00 + + 3,904.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2009 + 9 + Service Indicators + M + N + - + 0 + + 33,586.00 + + 4,156.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2009 + 10 + Service Indicators + M + N + - + 0 + + 37,618.00 + + 4,032.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2009 + 11 + Service Indicators + M + N + - + 0 + + 41,309.00 + + 3,691.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2009 + 12 + Service Indicators + M + N + - + 0 + + 44,303.00 + + 2,994.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2010 + 1 + Service Indicators + M + N + - + 0 + + 2,829.00 + + 2,829.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2010 + 2 + Service Indicators + M + N + - + 0 + + 5,086.00 + + 2,257.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2010 + 3 + Service Indicators + M + N + - + 0 + + 8,524.00 + + 3,438.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2010 + 4 + Service Indicators + M + N + - + 0 + + 12,279.00 + + 3,755.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2010 + 5 + Service Indicators + M + N + - + 0 + + 16,092.00 + + 3,813.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2010 + 6 + Service Indicators + M + N + - + 0 + + 20,715.00 + + 4,623.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2010 + 7 + Service Indicators + M + N + - + 0 + + 24,952.00 + + 4,237.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2010 + 8 + Service Indicators + M + N + - + 0 + + 29,453.00 + + 4,501.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2010 + 9 + Service Indicators + M + N + - + 0 + + 33,784.00 + + 4,331.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2010 + 10 + Service Indicators + M + N + - + 0 + + 38,202.00 + + 4,418.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2010 + 11 + Service Indicators + M + N + - + 0 + + 42,262.00 + + 4,060.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2010 + 12 + Service Indicators + M + N + - + 0 + + 45,270.00 + + 3,008.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2011 + 1 + Service Indicators + M + N + - + 0 + + 2,172.00 + + 2,172.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2011 + 2 + Service Indicators + M + N + - + 0 + + 4,816.00 + + 2,644.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2011 + 3 + Service Indicators + M + N + - + 0 + + 8,420.00 + + 3,604.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2011 + 4 + Service Indicators + M + N + - + 0 + + 11,916.00 + + 3,496.00 + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2011 + 5 + Service Indicators + M + N + - + 0 + + + + + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2011 + 6 + Service Indicators + M + N + - + 0 + + + + + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2011 + 7 + Service Indicators + M + N + - + 0 + + + + + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2011 + 8 + Service Indicators + M + N + - + 0 + + + + + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2011 + 9 + Service Indicators + M + N + - + 0 + + + + + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2011 + 10 + Service Indicators + M + N + - + 0 + + + + + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2011 + 11 + Service Indicators + M + N + - + 0 + + + + + + + 374957 + 374952 + MTA Bus + Bus Passenger Wheelchair Lift Usage - MTA Bus + The number of times a wheelchair lift is used to board a passenger. Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. + 2011 + 12 + Service Indicators + M + N + - + 0 + + + + + + \ No newline at end of file diff --git a/datasets/mta_perf/Performance_MTABUS.xsd b/datasets/mta_perf/Performance_MTABUS.xsd new file mode 100644 index 000000000..d99ad1840 --- /dev/null +++ b/datasets/mta_perf/Performance_MTABUS.xsd @@ -0,0 +1,96 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/datasets/mta_perf/Performance_NYCT.xml b/datasets/mta_perf/Performance_NYCT.xml new file mode 100644 index 000000000..07719858d --- /dev/null +++ b/datasets/mta_perf/Performance_NYCT.xml @@ -0,0 +1,64683 @@ + + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2008 + 1 + Safety Indicators + M + D + - + 2 + 2.37 + 1.93 + 2.37 + 1.93 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2008 + 2 + Safety Indicators + M + D + - + 2 + 2.37 + 1.99 + 2.37 + 2.33 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2008 + 3 + Safety Indicators + M + D + - + 2 + 2.37 + 1.98 + 2.37 + 1.93 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2008 + 4 + Safety Indicators + M + D + - + 2 + 2.37 + 1.93 + 2.37 + 1.81 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2008 + 5 + Safety Indicators + M + D + - + 2 + 2.37 + 2.14 + 2.37 + 2.93 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2008 + 6 + Safety Indicators + M + D + - + 2 + 2.37 + 2.22 + 2.37 + 2.70 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2008 + 7 + Safety Indicators + M + D + - + 2 + 2.37 + 2.29 + 2.37 + 2.79 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2008 + 8 + Safety Indicators + M + D + - + 2 + 2.37 + 2.33 + 2.37 + 2.70 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2008 + 9 + Safety Indicators + M + D + - + 2 + 2.37 + 2.36 + 2.37 + 2.43 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2008 + 10 + Safety Indicators + M + D + - + 2 + 2.37 + 2.36 + 2.37 + 2.48 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2008 + 11 + Safety Indicators + M + D + - + 2 + 2.37 + 2.32 + 2.37 + 1.87 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2008 + 12 + Safety Indicators + M + D + - + 2 + 2.37 + 2.34 + 2.37 + 2.86 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 2.26 + 2.83 + 2.26 + 2.83 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 2.26 + 2.70 + 2.26 + 2.43 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 2.26 + 2.79 + 2.26 + 3.04 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 2.26 + 2.77 + 2.26 + 2.59 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 2.26 + 2.90 + 2.26 + 3.21 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 2.26 + 2.95 + 2.26 + 3.16 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 2.26 + 2.93 + 2.26 + 2.85 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 2.26 + 3.03 + 2.26 + 3.21 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 2.26 + 2.99 + 2.26 + 2.38 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 2.26 + 2.95 + 2.26 + 2.23 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 2.26 + 2.89 + 2.26 + 1.92 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 2.26 + 2.89 + 2.26 + 2.38 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 2.75 + 1.81 + 2.75 + 1.81 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 2.75 + 1.97 + 2.75 + 1.84 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 2.75 + 2.30 + 2.75 + 2.11 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 2.75 + 2.43 + 2.75 + 2.16 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 2.75 + 2.50 + 2.75 + 1.93 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 2.75 + 2.81 + 2.75 + 3.08 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 2.75 + 2.89 + 2.75 + 3.39 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 2.75 + 2.97 + 2.75 + 3.49 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 2.75 + 3.03 + 2.75 + 3.54 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 2.75 + 2.96 + 2.75 + 2.34 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 2.75 + 3.06 + 2.75 + 3.05 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 2.75 + 3.10 + 2.75 + 3.51 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2011 + 1 + Safety Indicators + M + D + - + 2 + + 3.49 + + 3.49 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2011 + 2 + Safety Indicators + M + D + - + 2 + + 3.28 + + 3.07 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2011 + 3 + Safety Indicators + M + D + - + 2 + + 3.19 + + 2.91 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2011 + 4 + Safety Indicators + M + D + - + 2 + + 3.03 + + 2.53 + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2011 + 5 + Safety Indicators + M + D + - + 2 + + + + + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2011 + 6 + Safety Indicators + M + D + - + 2 + + + + + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2011 + 7 + Safety Indicators + M + D + - + 2 + + + + + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2011 + 8 + Safety Indicators + M + D + - + 2 + + + + + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2011 + 9 + Safety Indicators + M + D + - + 2 + + + + + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2011 + 10 + Safety Indicators + M + D + - + 2 + + + + + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2011 + 11 + Safety Indicators + M + D + - + 2 + + + + + + + 100360 + + NYC Transit + Employee Lost Time and Restricted Duty Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 100 employees. + 2011 + 12 + Safety Indicators + M + D + - + 2 + + + + + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2008 + 1 + Service Indicators + M + U + - + 0 + 148,244.00 + 148,244.00 + 155,000.00 + 148,420.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2008 + 2 + Service Indicators + M + U + - + 0 + 148,476.00 + 148,476.00 + 155,000.00 + 140,993.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2008 + 3 + Service Indicators + M + U + - + 0 + 146,941.00 + 146,941.00 + 155,000.00 + 144,737.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2008 + 4 + Service Indicators + M + U + - + 0 + 146,277.00 + 146,253.00 + 155,000.00 + 157,804.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2008 + 5 + Service Indicators + M + U + - + 0 + 144,999.00 + 142,961.00 + 155,000.00 + 133,825.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2008 + 6 + Service Indicators + M + U + - + 0 + 144,987.00 + 141,011.00 + 155,000.00 + 133,694.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2008 + 7 + Service Indicators + M + U + - + 0 + 146,516.00 + 139,628.00 + 155,000.00 + 124,910.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2008 + 8 + Service Indicators + M + U + - + 0 + 149,567.00 + 138,836.00 + 155,000.00 + 117,993.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2008 + 9 + Service Indicators + M + U + - + 0 + 150,155.00 + 136,946.00 + 155,000.00 + 127,214.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2008 + 10 + Service Indicators + M + U + - + 0 + 152,392.00 + 137,332.00 + 155,000.00 + 138,127.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2008 + 11 + Service Indicators + M + U + - + 0 + 152,365.00 + 136,064.00 + 155,000.00 + 140,283.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2008 + 12 + Service Indicators + M + U + - + 0 + 155,000.00 + 134,795.00 + 155,000.00 + 121,264.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2009 + 1 + Service Indicators + M + U + - + 0 + 145,000.00 + 133,546.00 + 145,000.00 + 132,340.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2009 + 2 + Service Indicators + M + U + - + 0 + 145,000.00 + 133,325.00 + 145,000.00 + 138,178.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2009 + 3 + Service Indicators + M + U + - + 0 + 145,000.00 + 133,711.00 + 145,000.00 + 150,126.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2009 + 4 + Service Indicators + M + U + - + 0 + 145,000.00 + 133,021.00 + 145,000.00 + 147,167.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2009 + 5 + Service Indicators + M + U + - + 0 + 145,000.00 + 136,152.00 + 145,000.00 + 185,485.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2009 + 6 + Service Indicators + M + U + - + 0 + 145,000.00 + 138,972.00 + 145,000.00 + 175,641.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2009 + 7 + Service Indicators + M + U + - + 0 + 145,000.00 + 139,897.00 + 145,000.00 + 134,384.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2009 + 8 + Service Indicators + M + U + - + 0 + 145,000.00 + 139,889.00 + 145,000.00 + 118,186.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2009 + 9 + Service Indicators + M + U + - + 0 + 145,000.00 + 142,538.00 + 145,000.00 + 159,851.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2009 + 10 + Service Indicators + M + U + - + 0 + 145,000.00 + 145,170.00 + 145,000.00 + 173,800.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2009 + 11 + Service Indicators + M + U + - + 0 + 145,000.00 + 148,417.00 + 145,000.00 + 189,553.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2009 + 12 + Service Indicators + M + U + - + 0 + 145,000.00 + 153,201.00 + 145,000.00 + 171,752.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2010 + 1 + Service Indicators + M + U + - + 0 + 155,000.00 + 157,233.00 + 155,000.00 + 179,692.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2010 + 2 + Service Indicators + M + U + - + 0 + 155,000.00 + 160,839.00 + 155,000.00 + 186,298.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2010 + 3 + Service Indicators + M + U + - + 0 + 155,000.00 + 165,396.00 + 155,000.00 + 213,410.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2010 + 4 + Service Indicators + M + U + - + 0 + 155,000.00 + 170,182.00 + 155,000.00 + 210,439.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2010 + 5 + Service Indicators + M + U + - + 0 + 155,000.00 + 170,314.00 + 155,000.00 + 187,140.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2010 + 6 + Service Indicators + M + U + - + 0 + 155,000.00 + 166,263.00 + 155,000.00 + 159,454.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2010 + 7 + Service Indicators + M + U + - + 0 + 155,000.00 + 165,355.00 + 155,000.00 + 126,376.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2010 + 8 + Service Indicators + M + U + - + 0 + 155,000.00 + 169,680.00 + 155,000.00 + 146,705.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2010 + 9 + Service Indicators + M + U + - + 0 + 155,000.00 + 168,832.00 + 155,000.00 + 148,004.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2010 + 10 + Service Indicators + M + U + - + 0 + 155,000.00 + 169,438.00 + 155,000.00 + 176,252.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2010 + 11 + Service Indicators + M + U + - + 0 + 155,000.00 + 170,695.00 + 155,000.00 + 208,109.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2010 + 12 + Service Indicators + M + U + - + 0 + 155,000.00 + 170,217.00 + 155,000.00 + 165,152.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2011 + 1 + Service Indicators + M + U + - + 0 + 168,000.00 + 158,000.00 + 168,000.00 + 193,371.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2011 + 2 + Service Indicators + M + U + - + 0 + 168,000.00 + 171,746.00 + 168,000.00 + 188,717.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2011 + 3 + Service Indicators + M + U + - + 0 + 168,000.00 + 170,410.00 + 168,000.00 + 192,527.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2011 + 4 + Service Indicators + M + U + - + 0 + 168,000.00 + 171,553.00 + 168,000.00 + 219,564.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2011 + 5 + Service Indicators + M + U + - + 0 + 168,000.00 + 174,330.00 + 168,000.00 + 236,322.00 + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2011 + 6 + Service Indicators + M + U + - + 0 + 168,000.00 + + 168,000.00 + + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2011 + 7 + Service Indicators + M + U + - + 0 + 168,000.00 + + 168,000.00 + + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2011 + 8 + Service Indicators + M + U + - + 0 + 168,000.00 + + 168,000.00 + + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2011 + 9 + Service Indicators + M + U + - + 0 + 168,000.00 + + 168,000.00 + + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2011 + 10 + Service Indicators + M + U + - + 0 + 168,000.00 + + 168,000.00 + + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2011 + 11 + Service Indicators + M + U + - + 0 + 168,000.00 + + 168,000.00 + + + + 67816 + + NYC Transit + Mean Distance Between Failures - Subways + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes + 2011 + 12 + Service Indicators + M + U + - + 0 + 168,000.00 + + 168,000.00 + + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2008 + 1 + Service Indicators + M + U + % + 1 + 87.00 + 86.40 + 87.00 + 86.40 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2008 + 2 + Service Indicators + M + U + % + 1 + 87.00 + 86.20 + 87.00 + 85.90 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2008 + 3 + Service Indicators + M + U + % + 1 + 87.00 + 86.30 + 87.00 + 86.40 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2008 + 4 + Service Indicators + M + U + % + 1 + 87.00 + 86.10 + 87.00 + 85.80 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2008 + 5 + Service Indicators + M + U + % + 1 + 87.00 + 86.00 + 87.00 + 85.70 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2008 + 6 + Service Indicators + M + U + % + 1 + 87.00 + 86.10 + 87.00 + 86.40 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2008 + 7 + Service Indicators + M + U + % + 1 + 87.00 + 85.90 + 87.00 + 84.60 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2008 + 8 + Service Indicators + M + U + % + 1 + 87.00 + 86.00 + 87.00 + 86.70 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2008 + 9 + Service Indicators + M + U + % + 1 + 87.00 + 86.20 + 87.00 + 87.70 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2008 + 10 + Service Indicators + M + U + % + 1 + 87.00 + 86.30 + 87.00 + 86.80 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2008 + 11 + Service Indicators + M + U + % + 1 + 87.00 + 86.40 + 87.00 + 87.40 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2008 + 12 + Service Indicators + M + U + % + 1 + 87.00 + 86.60 + 87.00 + 89.50 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2009 + 1 + Service Indicators + M + U + % + 1 + 87.00 + 88.70 + 87.00 + 88.70 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2009 + 2 + Service Indicators + M + U + % + 1 + 87.00 + 88.60 + 87.00 + 88.50 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2009 + 3 + Service Indicators + M + U + % + 1 + 87.00 + 88.70 + 87.00 + 88.80 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2009 + 4 + Service Indicators + M + U + % + 1 + 87.00 + 88.70 + 87.00 + 89.00 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2009 + 5 + Service Indicators + M + U + % + 1 + 87.00 + 88.70 + 87.00 + 88.70 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2009 + 6 + Service Indicators + M + U + % + 1 + 87.00 + 88.70 + 87.00 + 88.50 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2009 + 7 + Service Indicators + M + U + % + 1 + 87.00 + 88.90 + 87.00 + 89.70 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2009 + 8 + Service Indicators + M + U + % + 1 + 87.00 + 88.90 + 87.00 + 89.40 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2009 + 9 + Service Indicators + M + U + % + 1 + 87.00 + 89.00 + 87.00 + 89.50 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2009 + 10 + Service Indicators + M + U + % + 1 + 87.00 + 89.00 + 87.00 + 88.60 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2009 + 11 + Service Indicators + M + U + % + 1 + 87.00 + 89.00 + 87.00 + 90.10 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2009 + 12 + Service Indicators + M + U + % + 1 + 87.00 + 89.00 + 87.00 + 88.50 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2010 + 1 + Service Indicators + M + U + % + 1 + 94.00 + 89.70 + 94.00 + 89.70 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2010 + 2 + Service Indicators + M + U + % + 1 + 94.00 + 90.20 + 94.00 + 90.60 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2010 + 3 + Service Indicators + M + U + % + 1 + 90.00 + 90.40 + 90.00 + 90.60 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2010 + 4 + Service Indicators + M + U + % + 1 + 90.00 + 90.00 + 90.00 + 88.80 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2010 + 5 + Service Indicators + M + U + % + 1 + 90.00 + 90.10 + 90.00 + 90.60 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2010 + 6 + Service Indicators + M + U + % + 1 + 90.00 + 89.90 + 90.00 + 89.00 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2010 + 7 + Service Indicators + M + U + % + 1 + 78.10 + 79.10 + 78.10 + 78.80 + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2010 + 8 + Service Indicators + M + U + % + 1 + 94.00 + + 94.00 + + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2010 + 9 + Service Indicators + M + U + % + 1 + 94.00 + + 94.00 + + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2010 + 10 + Service Indicators + M + U + % + 1 + 94.00 + + 94.00 + + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2010 + 11 + Service Indicators + M + U + % + 1 + 94.00 + + 94.00 + + + + 67824 + + NYC Transit + Wait Assessment - Subways (Inactive, Historic Calculations) + The percent of actual intervals between trains that are no more than the scheduled interval plus 2 minutes during peak hours (6 AM - 9 AM) and plus 4 minutes during off-peak hours (9 AM - 4 PM and 7 PM - midnight). Wait assessment is measured weekdays between 6:00 AM - midnight when service is relatively frequent. The data is based on a sample methodology. + 2010 + 12 + Service Indicators + M + U + % + 1 + 94.00 + + 94.00 + + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2008 + 1 + Safety Indicators + M + D + - + 2 + 3.46 + 3.94 + 3.46 + 3.94 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2008 + 2 + Safety Indicators + M + D + - + 2 + 3.92 + 3.12 + 4.43 + 3.65 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2008 + 3 + Safety Indicators + M + D + - + 2 + 3.95 + 3.18 + 3.99 + 3.27 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2008 + 4 + Safety Indicators + M + D + - + 2 + 3.65 + 3.21 + 2.77 + 3.29 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2008 + 5 + Safety Indicators + M + D + - + 2 + 3.48 + 3.22 + 2.86 + 3.27 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2008 + 6 + Safety Indicators + M + D + - + 2 + 3.42 + 3.20 + 3.09 + 3.12 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2008 + 7 + Safety Indicators + M + D + - + 2 + 3.39 + 3.20 + 3.23 + 3.17 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2008 + 8 + Safety Indicators + M + D + - + 2 + 3.34 + 3.18 + 2.99 + 3.05 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2008 + 9 + Safety Indicators + M + D + - + 2 + 3.27 + 3.15 + 2.70 + 2.95 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2008 + 10 + Safety Indicators + M + D + - + 2 + 3.23 + 3.11 + 2.93 + 2.71 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2008 + 11 + Safety Indicators + M + D + - + 2 + 3.20 + 3.03 + 2.88 + 2.54 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2008 + 12 + Safety Indicators + M + D + - + 2 + 3.17 + 3.16 + 3.43 + 3.74 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 3.07 + 3.94 + 3.07 + 3.94 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 3.07 + 3.83 + 3.07 + 3.52 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 3.07 + 3.90 + 3.07 + 3.98 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 3.07 + 3.78 + 3.07 + 3.27 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 3.07 + 3.63 + 3.07 + 2.96 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 3.07 + 3.55 + 3.07 + 3.13 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 3.07 + 3.56 + 3.07 + 3.18 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 3.07 + 3.43 + 3.07 + 2.78 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 3.07 + 3.36 + 3.07 + 2.77 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 3.07 + 3.31 + 3.07 + 2.80 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 3.07 + 3.27 + 3.07 + 2.78 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 3.07 + 3.30 + 3.07 + 3.55 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 3.20 + 3.13 + 3.20 + 3.13 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 3.20 + 3.26 + 3.20 + 3.41 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 3.20 + 3.27 + 3.20 + 2.96 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 3.20 + 3.11 + 3.20 + 2.56 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 3.20 + 3.09 + 3.20 + 2.96 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 3.20 + 3.08 + 3.20 + 2.94 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 3.20 + 2.99 + 3.20 + 2.31 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 3.20 + 3.03 + 3.20 + 2.91 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 3.20 + 2.93 + 3.20 + 2.15 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 3.20 + 2.84 + 3.20 + 2.11 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 3.20 + 2.97 + 3.20 + 2.99 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 3.20 + 3.07 + 3.20 + 4.02 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2011 + 1 + Safety Indicators + M + D + - + 2 + 3.00 + 3.64 + 3.00 + 3.64 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2011 + 2 + Safety Indicators + M + D + - + 2 + 3.00 + 3.49 + 3.00 + 3.25 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2011 + 3 + Safety Indicators + M + D + - + 2 + 3.00 + 3.28 + 3.00 + 2.85 + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2011 + 4 + Safety Indicators + M + D + - + 2 + 3.00 + + 3.00 + + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2011 + 5 + Safety Indicators + M + D + - + 2 + 3.00 + + 3.00 + + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2011 + 6 + Safety Indicators + M + D + - + 2 + 3.00 + + 3.00 + + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2011 + 7 + Safety Indicators + M + D + - + 2 + 3.00 + + 3.00 + + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2011 + 8 + Safety Indicators + M + D + - + 2 + 3.00 + + 3.00 + + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2011 + 9 + Safety Indicators + M + D + - + 2 + 3.00 + + 3.00 + + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2011 + 10 + Safety Indicators + M + D + - + 2 + 3.00 + + 3.00 + + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2011 + 11 + Safety Indicators + M + D + - + 2 + 3.00 + + 3.00 + + + + 67923 + + NYC Transit + Customer Injury Rate - Subways + Any injury to a customer as a result of an incident within/on subway property. Assaults are not included. The rate is injuries per million customers. + 2011 + 12 + Safety Indicators + M + D + - + 2 + 3.00 + + 3.00 + + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2008 + 1 + Service Indicators + M + U + - + 0 + 219,434.00 + 219,434.00 + 180,000.00 + 100,513.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2008 + 2 + Service Indicators + M + U + - + 0 + 201,355.00 + 201,355.00 + 180,000.00 + 186,122.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2008 + 3 + Service Indicators + M + U + - + 0 + 202,248.00 + 185,569.00 + 180,000.00 + 98,097.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2008 + 4 + Service Indicators + M + U + - + 0 + 203,922.00 + 187,106.00 + 180,000.00 + 195,018.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2008 + 5 + Service Indicators + M + U + - + 0 + 187,967.00 + 188,389.00 + 180,000.00 + 197,335.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2008 + 6 + Service Indicators + M + U + - + 0 + 174,909.00 + 175,109.20 + 180,000.00 + 193,149.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2008 + 7 + Service Indicators + M + U + - + 0 + 175,707.00 + 191,522.80 + 180,000.00 + 206,478.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2008 + 8 + Service Indicators + M + U + - + 0 + 163,589.00 + 165,425.50 + 180,000.00 + 103,314.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2008 + 9 + Service Indicators + M + U + - + 0 + 165,145.00 + 166,983.00 + 180,000.00 + 195,025.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2008 + 10 + Service Indicators + M + U + - + 0 + 154,673.00 + 147,250.00 + 180,000.00 + 102,582.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2008 + 11 + Service Indicators + M + U + - + 0 + 166,851.00 + 157,893.00 + 180,000.00 + 191,566.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2008 + 12 + Service Indicators + M + U + - + 0 + 180,000.00 + 158,532.00 + 180,000.00 + 101,681.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2009 + 1 + Service Indicators + M + U + - + 0 + 182,604.00 + 158,508.00 + 180,000.00 + 100,331.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2009 + 2 + Service Indicators + M + U + - + 0 + 181,904.00 + 147,970.00 + 180,000.00 + 88,472.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2009 + 3 + Service Indicators + M + U + - + 0 + 182,178.00 + 169,330.00 + 180,000.00 + 199,283.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2009 + 4 + Service Indicators + M + U + - + 0 + 182,245.00 + 169,209.00 + 180,000.00 + 193,335.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2009 + 5 + Service Indicators + M + U + - + 0 + 181,989.00 + 157,570.00 + 180,000.00 + 191,957.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2009 + 6 + Service Indicators + M + U + - + 0 + 182,169.00 + 147,700.00 + 180,000.00 + 96,398.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2009 + 7 + Service Indicators + M + U + - + 0 + 181,694.00 + 130,545.00 + 180,000.00 + 96,539.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2009 + 8 + Service Indicators + M + U + - + 0 + 180,934.00 + 137,626.00 + 180,000.00 + 196,474.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2009 + 9 + Service Indicators + M + U + - + 0 + 180,759.00 + 129,734.00 + 180,000.00 + 95,292.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2009 + 10 + Service Indicators + M + U + - + 0 + 180,358.00 + 137,104.00 + 180,000.00 + 200,731.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2009 + 11 + Service Indicators + M + U + - + 0 + 180,209.00 + 116,847.00 + 180,000.00 + 49,433.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2009 + 12 + Service Indicators + M + U + - + 0 + 180,000.00 + 129,824.00 + 180,000.00 + 203,257.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2010 + 1 + Service Indicators + M + U + - + 0 + 180,000.00 + 145,635.00 + 180,000.00 + 193,979.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2010 + 2 + Service Indicators + M + U + - + 0 + 180,000.00 + 166,519.00 + 180,000.00 + 178,055.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2010 + 3 + Service Indicators + M + U + - + 0 + 180,000.00 + 166,613.00 + 180,000.00 + 200,595.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2010 + 4 + Service Indicators + M + U + - + 0 + 180,000.00 + 166,566.00 + 180,000.00 + 192,677.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2010 + 5 + Service Indicators + M + U + - + 0 + 180,000.00 + 166,576.00 + 180,000.00 + 192,103.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2010 + 6 + Service Indicators + M + U + - + 0 + 180,000.00 + 179,448.00 + 180,000.00 + 193,555.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2010 + 7 + Service Indicators + M + U + - + 0 + 180,000.00 + 212,266.00 + 180,000.00 + 195,185.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2010 + 8 + Service Indicators + M + U + - + 0 + 180,000.00 + 212,561.00 + 180,000.00 + 199,720.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2010 + 9 + Service Indicators + M + U + - + 0 + 180,000.00 + 259,647.00 + 180,000.00 + 189,232.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2010 + 10 + Service Indicators + M + U + - + 0 + 180,000.00 + 291,308.00 + 180,000.00 + 194,372.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2010 + 11 + Service Indicators + M + U + - + 0 + 180,000.00 + 583,054.00 + 180,000.00 + 199,486.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2010 + 12 + Service Indicators + M + U + - + 0 + 180,000.00 + 464,848.00 + 180,000.00 + 195,282.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2011 + 1 + Service Indicators + M + U + - + 0 + 180,000.00 + 466,614.00 + 180,000.00 + 202,809.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2011 + 2 + Service Indicators + M + U + - + 0 + 180,000.00 + 334,610.00 + 180,000.00 + 93,626.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2011 + 3 + Service Indicators + M + U + - + 0 + 180,000.00 + 294,056.00 + 180,000.00 + 210,778.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2011 + 4 + Service Indicators + M + U + - + 0 + 180,000.00 + 295,009.00 + 180,000.00 + 200,300.00 + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2011 + 5 + Service Indicators + M + U + - + 0 + 180,000.00 + + 180,000.00 + + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2011 + 6 + Service Indicators + M + U + - + 0 + 180,000.00 + + 180,000.00 + + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2011 + 7 + Service Indicators + M + U + - + 0 + 180,000.00 + + 180,000.00 + + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2011 + 8 + Service Indicators + M + U + - + 0 + 180,000.00 + + 180,000.00 + + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2011 + 9 + Service Indicators + M + U + - + 0 + 180,000.00 + + 180,000.00 + + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2011 + 10 + Service Indicators + M + U + - + 0 + 180,000.00 + + 180,000.00 + + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2011 + 11 + Service Indicators + M + U + - + 0 + 180,000.00 + + 180,000.00 + + + + 67966 + + NYC Transit + Mean Distance Between Failures - Staten Island Railway + Average number of miles a subway car travels in service before a mechanical failure that makes the train arrive at its final destination later than 5 minutes. + 2011 + 12 + Service Indicators + M + U + - + 0 + 180,000.00 + + 180,000.00 + + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2008 + 1 + Service Indicators + M + U + % + 1 + 96.50 + 98.10 + 96.50 + 98.10 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2008 + 2 + Service Indicators + M + U + % + 1 + 96.50 + 98.30 + 96.50 + 98.50 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2008 + 3 + Service Indicators + M + U + % + 1 + 96.50 + 98.30 + 96.50 + 98.30 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2008 + 4 + Service Indicators + M + U + % + 1 + 96.50 + 98.20 + 96.50 + 97.80 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2008 + 5 + Service Indicators + M + U + % + 1 + 96.50 + 97.70 + 96.50 + 95.80 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2008 + 6 + Service Indicators + M + U + % + 1 + 96.50 + 97.30 + 96.50 + 95.00 + + + 67967 + + NYC Transit + On-Time Performance - 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Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.00 + 96.20 + 95.00 + 96.30 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.00 + 96.30 + 95.00 + 96.60 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.00 + 96.70 + 95.00 + 98.60 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.00 + 96.30 + 95.00 + 94.20 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.00 + 96.20 + 95.00 + 94.00 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.00 + 96.20 + 95.00 + 96.90 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.00 + 96.30 + 95.00 + 96.50 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.00 + 96.10 + 95.00 + 94.60 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.00 + 95.50 + 95.00 + 89.00 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.00 + 95.40 + 95.00 + 94.00 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2011 + 1 + Service Indicators + M + U + % + 1 + 96.00 + 93.90 + 96.00 + 93.90 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2011 + 2 + Service Indicators + M + U + % + 1 + 96.00 + 95.80 + 96.00 + 97.90 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2011 + 3 + Service Indicators + M + U + % + 1 + 96.00 + 95.80 + 96.00 + 95.80 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2011 + 4 + Service Indicators + M + U + % + 1 + 96.00 + 95.90 + 96.00 + 96.10 + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2011 + 5 + Service Indicators + M + U + % + 1 + 96.00 + + 96.00 + + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2011 + 6 + Service Indicators + M + U + % + 1 + 96.00 + + 96.00 + + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2011 + 7 + Service Indicators + M + U + % + 1 + 96.00 + + 96.00 + + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2011 + 8 + Service Indicators + M + U + % + 1 + 96.00 + + 96.00 + + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2011 + 9 + Service Indicators + M + U + % + 1 + 96.00 + + 96.00 + + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2011 + 10 + Service Indicators + M + U + % + 1 + 96.00 + + 96.00 + + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2011 + 11 + Service Indicators + M + U + % + 1 + 96.00 + + 96.00 + + + + 67967 + + NYC Transit + On-Time Performance - Staten Island Railway + Number of Trains Scheduled Minus Delays/Number of Trains Scheduled + 2011 + 12 + Service Indicators + M + U + % + 1 + 96.00 + + 96.00 + + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2008 + 1 + Service Indicators + M + U + - + 0 + 129,482,000.00 + 130,687,792.00 + 129,482,000.00 + 130,687,792.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2008 + 2 + Service Indicators + M + U + - + 0 + 254,929,000.00 + 256,566,454.00 + 125,447,000.00 + 125,878,662.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2008 + 3 + Service Indicators + M + U + - + 0 + 389,783,000.00 + 393,714,582.00 + 134,854,000.00 + 137,148,128.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2008 + 4 + Service Indicators + M + U + - + 0 + 524,282,000.00 + 530,243,551.00 + 134,499,000.00 + 136,528,969.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2008 + 5 + Service Indicators + M + U + - + 0 + 660,694,000.00 + 670,395,414.00 + 136,412,000.00 + 140,151,863.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2008 + 6 + Service Indicators + M + U + - + 0 + 792,801,000.00 + 807,066,294.00 + 132,107,000.00 + 136,670,880.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2008 + 7 + Service Indicators + M + U + - + 0 + 923,412,000.00 + 944,790,854.00 + 130,611,000.00 + 137,724,560.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2008 + 8 + Service Indicators + M + U + - + 0 + 1,048,505,000.00 + 1,075,697,004.00 + 125,093,000.00 + 130,906,150.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2008 + 9 + Service Indicators + M + U + - + 0 + 1,182,215,000.00 + 1,214,104,482.00 + 133,710,000.00 + 138,407,478.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2008 + 10 + Service Indicators + M + U + - + 0 + 1,324,775,000.00 + 1,359,381,344.00 + 142,560,000.00 + 145,276,862.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2008 + 11 + Service Indicators + M + U + - + 0 + 1,451,640,000.00 + 1,487,981,999.00 + 126,865,000.00 + 128,600,655.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2008 + 12 + Service Indicators + M + U + - + 0 + 1,586,922,000.00 + 1,623,881,368.00 + 135,282,000.00 + 135,899,369.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2009 + 1 + Service Indicators + M + U + - + 0 + 127,281,000.00 + 126,009,217.00 + 127,281,000.00 + 126,009,217.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2009 + 2 + Service Indicators + M + U + - + 0 + 248,665,000.00 + 246,471,272.00 + 121,384,000.00 + 120,462,055.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2009 + 3 + Service Indicators + M + U + - + 0 + 387,849,000.00 + 383,194,121.00 + 139,184,000.00 + 136,722,849.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2009 + 4 + Service Indicators + M + U + - + 0 + 522,313,000.00 + 516,821,296.00 + 134,464,000.00 + 133,627,175.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2009 + 5 + Service Indicators + M + U + - + 0 + 657,820,000.00 + 650,112,341.00 + 135,507,000.00 + 133,291,045.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2009 + 6 + Service Indicators + M + U + - + 0 + 792,972,000.00 + 784,981,727.24 + 135,152,000.00 + 134,869,386.24 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2009 + 7 + Service Indicators + M + U + - + 0 + 923,566,000.00 + 917,693,882.24 + 130,594,000.00 + 132,712,155.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2009 + 8 + Service Indicators + M + U + - + 0 + 1,047,961,000.00 + 1,042,123,467.24 + 124,395,000.00 + 124,429,585.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2009 + 9 + Service Indicators + M + U + - + 0 + 1,178,908,000.00 + 1,174,972,544.24 + 130,947,000.00 + 132,849,077.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2009 + 10 + Service Indicators + M + U + - + 0 + 1,319,878,000.00 + 1,315,638,119.24 + 140,970,000.00 + 140,665,575.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2009 + 11 + Service Indicators + M + U + - + 0 + 1,449,170,000.00 + 1,445,220,327.24 + 129,292,000.00 + 129,582,208.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2009 + 12 + Service Indicators + M + U + - + 0 + 1,584,832,000.00 + 1,579,866,600.24 + 135,662,000.00 + 134,646,273.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2010 + 1 + Service Indicators + M + U + - + 0 + 123,167,000.00 + 124,453,847.00 + 123,167,000.00 + 124,453,847.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2010 + 2 + Service Indicators + M + U + - + 0 + 242,403,000.00 + 241,096,027.00 + 119,236,000.00 + 116,642,180.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2010 + 3 + Service Indicators + M + U + - + 0 + 380,320,000.00 + 382,790,989.00 + 137,917,000.00 + 141,694,962.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2010 + 4 + Service Indicators + M + U + - + 0 + 513,955,000.00 + 520,284,637.00 + 133,635,000.00 + 137,493,648.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2010 + 5 + Service Indicators + M + U + - + 0 + 647,414,000.00 + 657,068,142.00 + 133,459,000.00 + 136,783,505.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2010 + 6 + Service Indicators + M + U + - + 0 + 782,776,000.00 + 794,844,701.00 + 135,362,000.00 + 137,776,559.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2010 + 7 + Service Indicators + M + U + - + 0 + 911,346,000.00 + 926,306,817.00 + 128,570,000.00 + 131,462,116.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2010 + 8 + Service Indicators + M + U + - + 0 + 1,036,624,000.00 + 1,055,921,161.00 + 125,278,000.00 + 129,614,344.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2010 + 9 + Service Indicators + M + U + - + 0 + 1,168,157,000.00 + 1,190,537,760.00 + 131,533,000.00 + 134,616,599.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2010 + 10 + Service Indicators + M + U + - + 0 + 1,304,507,000.00 + 1,332,600,484.00 + 136,350,000.00 + 142,062,724.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2010 + 11 + Service Indicators + M + U + - + 0 + 1,436,705,000.00 + 1,468,293,347.00 + 132,198,000.00 + 135,692,863.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2010 + 12 + Service Indicators + M + U + - + 0 + 1,572,199,000.00 + 1,604,198,019.00 + 135,494,000.00 + 135,904,672.22 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2011 + 1 + Service Indicators + M + U + - + 0 + 128,951,000.00 + 126,714,693.00 + 128,951,000.00 + 126,714,693.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2011 + 2 + Service Indicators + M + U + - + 0 + 251,604,000.00 + 249,862,890.00 + 122,653,000.00 + 123,148,197.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2011 + 3 + Service Indicators + M + U + - + 0 + 395,323,000.00 + 394,855,198.00 + 143,719,000.00 + 144,992,308.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2011 + 4 + Service Indicators + M + U + - + 0 + 529,234,000.00 + 529,614,489.00 + 133,911,000.00 + 134,759,291.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2011 + 5 + Service Indicators + M + U + - + 0 + 668,890,000.00 + 669,826,134.00 + 139,656,000.00 + 140,211,645.00 + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2011 + 6 + Service Indicators + M + U + - + 0 + 808,193,000.00 + + 139,303,000.00 + + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2011 + 7 + Service Indicators + M + U + - + 0 + 937,971,000.00 + + 129,778,000.00 + + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2011 + 8 + Service Indicators + M + U + - + 0 + 1,069,405,000.00 + + 131,434,000.00 + + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2011 + 9 + Service Indicators + M + U + - + 0 + 1,206,182,000.00 + + 136,777,000.00 + + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2011 + 10 + Service Indicators + M + U + - + 0 + 1,346,340,000.00 + + 140,158,000.00 + + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2011 + 11 + Service Indicators + M + U + - + 0 + 1,482,456,000.00 + + 136,116,000.00 + + + + 103929 + + NYC Transit + Total Ridership - Subways + Ridership is the number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers who use free transfers (train-to-bus, bus-to-train) are counted as additional passengers even though they are not paying additional fares. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + + + 2011 + 12 + Service Indicators + M + U + - + 0 + 1,619,445,000.00 + + 136,989,000.00 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 1 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 2 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 3 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 4 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 5 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 6 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 7 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 8 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 9 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 10 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 11 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 12 + Service Indicators + M + U + % + 1 + 96.50 + 96.30 + 96.50 + 96.30 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 1 + Service Indicators + M + U + % + 1 + 97.50 + 95.30 + 97.50 + 95.30 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 2 + Service Indicators + M + U + % + 1 + 97.50 + 96.20 + 97.50 + 97.00 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 3 + Service Indicators + M + U + % + 1 + 97.50 + 96.60 + 97.50 + 97.60 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 4 + Service Indicators + M + U + % + 1 + 97.50 + 96.80 + 97.50 + 97.20 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 5 + Service Indicators + M + U + % + 1 + 97.50 + 96.70 + 97.50 + 96.40 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 6 + Service Indicators + M + U + % + 1 + 97.50 + 96.80 + 97.50 + 97.50 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 7 + Service Indicators + M + U + % + 1 + 97.50 + 96.90 + 97.50 + 97.10 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 8 + Service Indicators + M + U + % + 1 + 97.50 + 96.80 + 97.50 + 96.60 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 9 + Service Indicators + M + U + % + 1 + 97.50 + 96.90 + 97.50 + 97.50 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 10 + Service Indicators + M + U + % + 1 + 97.50 + 97.10 + 97.50 + 98.50 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 11 + Service Indicators + M + U + % + 1 + 97.50 + 96.90 + 97.50 + 94.80 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 12 + Service Indicators + M + U + % + 1 + 97.50 + 96.80 + 97.50 + 95.70 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 1 + Service Indicators + M + U + % + 1 + 96.50 + 97.00 + 96.50 + 97.00 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 2 + Service Indicators + M + U + % + 1 + 96.50 + 97.40 + 96.50 + 97.70 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 3 + Service Indicators + M + U + % + 1 + 96.50 + 97.20 + 96.50 + 97.00 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 4 + Service Indicators + M + U + % + 1 + 96.50 + 97.20 + 96.50 + 97.00 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 5 + Service Indicators + M + U + % + 1 + 96.50 + 97.20 + 96.50 + 97.20 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 6 + Service Indicators + M + U + % + 1 + 96.50 + 97.30 + 96.50 + 97.70 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 7 + Service Indicators + M + U + % + 1 + 96.50 + 97.30 + 96.50 + 97.40 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 8 + Service Indicators + M + U + % + 1 + 96.50 + 97.30 + 96.50 + 97.00 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 9 + Service Indicators + M + U + % + 1 + 96.50 + 97.10 + 96.50 + 96.30 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 10 + Service Indicators + M + U + % + 1 + 96.50 + 97.10 + 96.50 + 96.90 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 11 + Service Indicators + M + U + % + 1 + 96.50 + 97.10 + 96.50 + 97.30 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 12 + Service Indicators + M + U + % + 1 + 96.50 + 97.10 + 96.50 + 97.20 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 1 + Service Indicators + M + U + % + 1 + 96.50 + 96.50 + 96.50 + 96.50 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 2 + Service Indicators + M + U + % + 1 + 96.50 + 96.60 + 96.50 + 96.70 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 3 + Service Indicators + M + U + % + 1 + 96.50 + 96.60 + 96.50 + 96.70 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 4 + Service Indicators + M + U + % + 1 + 96.50 + 96.50 + 96.50 + 96.00 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 5 + Service Indicators + M + U + % + 1 + 96.50 + 96.30 + 96.50 + 95.60 + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 6 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 7 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 8 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 9 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 10 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 11 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304471 + + NYC Transit + Elevator Availability - Subways + Percent of time that elevators are operational systemwide. Elevators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 12 + Service Indicators + M + U + % + 1 + 96.50 + + 96.50 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 1 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 2 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 3 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 4 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 5 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 6 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 7 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 8 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 9 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 10 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 11 + Service Indicators + M + U + % + 1 + 95.00 + + 95.00 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2008 + 12 + Service Indicators + M + U + % + 1 + 95.00 + 92.90 + 95.00 + 92.90 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 1 + Service Indicators + M + U + % + 1 + 96.00 + 91.50 + 96.00 + 91.50 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 2 + Service Indicators + M + U + % + 1 + 96.00 + 92.30 + 96.00 + 93.00 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 3 + Service Indicators + M + U + % + 1 + 96.00 + 92.60 + 96.00 + 93.40 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 4 + Service Indicators + M + U + % + 1 + 96.00 + 92.90 + 96.00 + 93.70 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 5 + Service Indicators + M + U + % + 1 + 96.00 + 92.90 + 96.00 + 93.10 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 6 + Service Indicators + M + U + % + 1 + 96.00 + 93.20 + 96.00 + 94.40 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 7 + Service Indicators + M + U + % + 1 + 96.00 + 93.10 + 96.00 + 92.30 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 8 + Service Indicators + M + U + % + 1 + 96.00 + 92.90 + 96.00 + 91.60 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 9 + Service Indicators + M + U + % + 1 + 96.00 + 92.90 + 96.00 + 92.90 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 10 + Service Indicators + M + U + % + 1 + 96.00 + 93.00 + 96.00 + 93.90 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 11 + Service Indicators + M + U + % + 1 + 96.00 + 93.10 + 96.00 + 94.20 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2009 + 12 + Service Indicators + M + U + % + 1 + 96.00 + 93.10 + 96.00 + 93.80 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 1 + Service Indicators + M + U + % + 1 + 95.20 + 93.60 + 95.20 + 93.60 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 2 + Service Indicators + M + U + % + 1 + 95.20 + 94.50 + 95.20 + 95.30 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 3 + Service Indicators + M + U + % + 1 + 95.20 + 94.30 + 95.20 + 94.10 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 4 + Service Indicators + M + U + % + 1 + 95.20 + 94.30 + 95.20 + 94.10 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 5 + Service Indicators + M + U + % + 1 + 95.20 + 93.90 + 95.20 + 92.60 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 6 + Service Indicators + M + U + % + 1 + 95.20 + 93.50 + 95.20 + 91.10 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 7 + Service Indicators + M + U + % + 1 + 95.20 + 93.10 + 95.20 + 90.60 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 8 + Service Indicators + M + U + % + 1 + 95.20 + 93.00 + 95.20 + 92.40 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 9 + Service Indicators + M + U + % + 1 + 95.20 + 92.80 + 95.20 + 91.30 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 10 + Service Indicators + M + U + % + 1 + 95.20 + 92.60 + 95.20 + 90.70 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 11 + Service Indicators + M + U + % + 1 + 95.20 + 92.60 + 95.20 + 92.30 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2010 + 12 + Service Indicators + M + U + % + 1 + 95.20 + 92.60 + 95.20 + 92.70 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.20 + 91.60 + 95.20 + 91.60 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.20 + 91.70 + 95.20 + 91.80 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.20 + 92.20 + 95.20 + 93.10 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.20 + 92.40 + 95.20 + 92.90 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.20 + 92.60 + 95.20 + 93.80 + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.20 + + 95.20 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.20 + + 95.20 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.20 + + 95.20 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.20 + + 95.20 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.20 + + 95.20 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.20 + + 95.20 + + + + 304472 + + NYC Transit + Escalator Availability - Subways + Percent of time that escalators are operational systemwide. Escalators maintained by New York City Transit are electronically monitored 24-hours a day. Those not maintained by the agency within the stations are inspected once during every 8 hour shift. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.20 + + 95.20 + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 86.20 + + 86.20 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 86.50 + + 86.80 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 87.00 + + 88.00 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 87.80 + + 90.50 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 87.90 + + 88.10 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 88.40 + + 91.10 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 88.70 + + 90.60 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 92.00 + 91.10 + 92.00 + 91.10 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 92.00 + 89.70 + 92.00 + 88.30 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 92.00 + 90.30 + 92.00 + 91.30 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 92.00 + 90.30 + 92.00 + 90.30 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 92.00 + 90.10 + 92.00 + 89.30 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 92.00 + 89.80 + 92.00 + 88.20 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 92.00 + 89.30 + 92.00 + 86.30 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 92.00 + 89.10 + 92.00 + 87.60 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 92.00 + 88.80 + 92.00 + 86.00 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 92.00 + 88.50 + 92.00 + 87.40 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 91.90 + 83.50 + 91.90 + 83.50 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 91.90 + 84.00 + 91.90 + 84.50 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 91.90 + 84.80 + 91.90 + 86.40 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 91.90 + 85.30 + 91.90 + 86.70 + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 90.00 + + 90.00 + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 90.00 + + 90.00 + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 90.00 + + 90.00 + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 90.00 + + 90.00 + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 90.00 + + 90.00 + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 90.00 + + 90.00 + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 90.00 + + 90.00 + + + + 391690 + + NYC Transit + On-Time Performance (Terminal) + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 90.00 + + 90.00 + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 86.80 + + 86.80 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 90.00 + + 93.20 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 88.30 + + 84.70 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 89.60 + + 93.90 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 90.20 + + 92.60 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 91.10 + + 95.60 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 91.20 + + 91.70 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 90.90 + 93.50 + 90.90 + 93.50 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 90.90 + 92.20 + 90.90 + 90.70 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 90.90 + 92.20 + 90.90 + 92.20 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 90.90 + 91.50 + 90.90 + 89.40 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 90.90 + 91.30 + 90.90 + 90.50 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 90.90 + 91.40 + 90.90 + 91.80 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 90.90 + 91.40 + 90.90 + 91.80 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 90.90 + 91.20 + 90.90 + 89.90 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 90.90 + 90.40 + 90.90 + 84.10 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 90.90 + 89.50 + 90.90 + 85.20 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 91.50 + 90.80 + 91.50 + 90.80 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 91.50 + 91.30 + 91.50 + 91.90 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 91.50 + 91.60 + 91.50 + 92.00 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 91.50 + 91.30 + 91.50 + 90.50 + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 91.50 + + 91.50 + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 91.50 + + 91.50 + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 91.50 + + 91.50 + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 91.50 + + 91.50 + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 91.50 + + 91.50 + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 91.50 + + 91.50 + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 91.50 + + 91.50 + + + + 391691 + 391690 + NYC Transit + OTP (Terminal) - 1 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 91.50 + + 91.50 + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 79.70 + + 79.70 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 80.50 + + 81.30 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 80.80 + + 81.40 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 80.50 + + 79.70 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 79.00 + + 73.10 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 79.20 + + 80.30 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 79.40 + + 80.30 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 80.70 + 83.50 + 80.70 + 83.50 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 80.70 + 82.80 + 80.70 + 82.00 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 80.70 + 84.50 + 80.70 + 87.40 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 80.70 + 83.00 + 80.70 + 79.00 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 80.70 + 82.40 + 80.70 + 79.90 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 80.70 + 80.20 + 80.70 + 70.50 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 80.70 + 79.30 + 80.70 + 74.60 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 80.70 + 78.20 + 80.70 + 70.70 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 80.70 + 77.20 + 80.70 + 69.30 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 80.70 + 76.40 + 80.70 + 74.00 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 81.10 + 67.40 + 81.10 + 67.40 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 81.10 + 68.20 + 81.10 + 69.10 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 81.10 + 69.70 + 81.10 + 72.30 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 81.10 + 70.30 + 81.10 + 71.90 + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 81.10 + + 81.10 + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 81.10 + + 81.10 + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 81.10 + + 81.10 + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 81.10 + + 81.10 + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 81.10 + + 81.10 + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 81.10 + + 81.10 + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 81.10 + + 81.10 + + + + 391692 + 391690 + NYC Transit + OTP (Terminal) - 2 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 81.10 + + 81.10 + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 63.50 + + 63.50 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 73.00 + + 82.60 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 76.10 + + 82.60 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 76.70 + + 78.60 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 77.40 + + 79.80 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 78.40 + + 84.10 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 79.00 + + 82.30 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 84.90 + 83.10 + 84.90 + 83.10 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 84.90 + 83.20 + 84.90 + 83.30 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 84.90 + 85.40 + 84.90 + 89.10 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 84.90 + 85.50 + 84.90 + 85.70 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 84.90 + 86.20 + 84.90 + 89.00 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 84.90 + 84.20 + 84.90 + 74.40 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 84.90 + 82.80 + 84.90 + 73.20 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 84.90 + 81.90 + 84.90 + 75.80 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 84.90 + 80.90 + 84.90 + 72.90 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 84.90 + 80.00 + 84.90 + 76.40 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 84.90 + 74.90 + 84.90 + 74.90 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 84.90 + 73.50 + 84.90 + 72.00 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 84.90 + 72.90 + 84.90 + 71.80 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 84.90 + 73.60 + 84.90 + 75.70 + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 84.90 + + 84.90 + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 84.90 + + 84.90 + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 84.90 + + 84.90 + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 84.90 + + 84.90 + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 84.90 + + 84.90 + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 84.90 + + 84.90 + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 84.90 + + 84.90 + + + + 391693 + 391690 + NYC Transit + OTP (Terminal) - 3 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 84.90 + + 84.90 + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 80.60 + + 80.60 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 82.50 + + 84.80 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 83.30 + + 85.20 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 83.30 + + 83.00 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 82.40 + + 78.80 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 82.90 + + 85.50 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 83.10 + + 84.60 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 79.90 + 83.80 + 79.90 + 83.80 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 79.90 + 83.00 + 79.90 + 82.20 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 79.90 + 83.20 + 79.90 + 83.50 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 79.90 + 82.20 + 79.90 + 79.30 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 79.90 + 81.70 + 79.90 + 79.50 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 79.90 + 80.30 + 79.90 + 74.10 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 79.90 + 79.70 + 79.90 + 75.80 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 79.90 + 79.20 + 79.90 + 75.60 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 79.90 + 79.00 + 79.90 + 77.30 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 79.90 + 77.60 + 79.90 + 74.00 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 80.10 + 64.60 + 80.10 + 64.60 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 80.10 + 66.60 + 80.10 + 68.90 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 80.10 + 68.40 + 80.10 + 71.50 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 80.10 + 68.10 + 80.10 + 67.20 + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 80.10 + + 80.10 + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 80.10 + + 80.10 + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 80.10 + + 80.10 + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 80.10 + + 80.10 + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 80.10 + + 80.10 + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 80.10 + + 80.10 + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 80.10 + + 80.10 + + + + 391694 + 391690 + NYC Transit + OTP (Terminal) - 4 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 80.10 + + 80.10 + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 82.80 + + 82.80 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 83.90 + + 84.90 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 83.50 + + 82.70 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 84.00 + + 85.70 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 82.60 + + 76.80 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 82.90 + + 84.60 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 83.50 + + 86.80 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 86.20 + 87.70 + 86.20 + 87.70 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 86.20 + 85.40 + 86.20 + 83.00 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 86.20 + 86.50 + 86.20 + 88.20 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 86.20 + 85.90 + 86.20 + 84.50 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 86.20 + 85.60 + 86.20 + 84.20 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 86.20 + 84.70 + 86.20 + 80.50 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 86.20 + 84.20 + 86.20 + 80.80 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 86.20 + 83.20 + 86.20 + 76.90 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 86.20 + 82.60 + 86.20 + 77.60 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 86.20 + 80.90 + 86.20 + 77.00 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 86.20 + 63.70 + 86.20 + 63.70 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 86.20 + 68.30 + 86.20 + 73.40 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 86.20 + 70.60 + 86.20 + 74.50 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 86.20 + 69.40 + 86.20 + 65.80 + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 86.20 + + 86.20 + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 86.20 + + 86.20 + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 86.20 + + 86.20 + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 86.20 + + 86.20 + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 86.20 + + 86.20 + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 86.20 + + 86.20 + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 86.20 + + 86.20 + + + + 391695 + 391690 + NYC Transit + OTP (Terminal) - 5 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 86.20 + + 86.20 + + + + 391696 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weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 84.20 + + 84.20 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 86.20 + + 88.20 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 86.60 + + 87.50 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 87.30 + + 89.50 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 87.80 + + 89.60 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 88.10 + + 89.90 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 88.10 + + 87.90 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 90.50 + 90.40 + 90.50 + 90.40 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 90.50 + 88.80 + 90.50 + 87.20 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 90.50 + 88.70 + 90.50 + 88.40 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 90.50 + 87.50 + 90.50 + 84.20 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 90.50 + 87.30 + 90.50 + 86.20 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 90.50 + 86.60 + 90.50 + 83.50 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 90.50 + 85.50 + 90.50 + 78.60 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 90.50 + 85.10 + 90.50 + 82.80 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 90.50 + 84.80 + 90.50 + 82.30 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 90.50 + 83.40 + 90.50 + 81.20 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 90.50 + 71.90 + 90.50 + 71.90 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 90.50 + 73.00 + 90.50 + 74.30 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 90.50 + 76.50 + 90.50 + 82.60 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 90.50 + 77.40 + 90.50 + 80.20 + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 90.50 + + 90.50 + + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 90.50 + + 90.50 + + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 90.50 + + 90.50 + + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 90.50 + + 90.50 + + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 90.50 + + 90.50 + + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 90.50 + + 90.50 + + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 90.50 + + 90.50 + + + + 391696 + 391690 + NYC Transit + OTP (Terminal) - 6 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 90.50 + + 90.50 + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 91.20 + + 91.20 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 91.20 + + 91.30 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 92.00 + + 93.70 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 92.70 + + 94.60 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 93.00 + + 94.40 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 93.40 + + 95.30 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 93.50 + + 94.00 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 93.40 + 92.20 + 93.40 + 92.20 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 93.40 + 90.00 + 93.40 + 87.80 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 93.40 + 91.50 + 93.40 + 94.10 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 93.40 + 92.40 + 93.40 + 94.90 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 93.40 + 92.00 + 93.40 + 90.40 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 93.40 + 92.00 + 93.40 + 92.10 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 93.40 + 91.60 + 93.40 + 89.20 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 93.40 + 91.80 + 93.40 + 92.50 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 93.40 + 91.40 + 93.40 + 88.70 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 93.40 + 91.30 + 93.40 + 89.30 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 94.10 + 83.40 + 94.10 + 83.40 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 94.10 + 82.90 + 94.10 + 82.40 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 94.10 + 82.80 + 94.10 + 82.60 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 94.10 + 83.50 + 94.10 + 85.70 + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 94.10 + + 94.10 + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 94.10 + + 94.10 + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 94.10 + + 94.10 + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 94.10 + + 94.10 + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 94.10 + + 94.10 + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 94.10 + + 94.10 + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 94.10 + + 94.10 + + + + 391697 + 391690 + NYC Transit + OTP (Terminal) - 7 Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 94.10 + + 94.10 + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 95.20 + + 95.20 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 97.20 + + 99.10 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 97.10 + + 97.00 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 97.50 + + 98.90 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 98.00 + + 99.60 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 98.20 + + 99.20 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 98.40 + + 99.80 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 99.70 + 99.70 + 99.70 + 99.70 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 99.70 + 99.70 + 99.70 + 99.80 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 99.70 + 99.80 + 99.70 + 99.90 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 99.70 + 99.80 + 99.70 + 99.80 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 99.70 + 99.80 + 99.70 + 100.00 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 99.70 + 99.80 + 99.70 + 100.00 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 99.70 + 99.90 + 99.70 + 100.00 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 99.70 + 99.90 + 99.70 + 100.00 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 99.70 + 99.80 + 99.70 + 99.40 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 99.70 + 99.80 + 99.70 + 99.40 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 99.70 + 99.10 + 99.70 + 99.10 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 99.70 + 99.40 + 99.70 + 99.70 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 99.70 + 99.20 + 99.70 + 98.90 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 99.70 + 99.30 + 99.70 + 99.40 + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 99.70 + + 99.70 + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 99.70 + + 99.70 + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 99.70 + + 99.70 + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 99.70 + + 99.70 + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 99.70 + + 99.70 + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 99.70 + + 99.70 + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 99.70 + + 99.70 + + + + 391698 + 391690 + NYC Transit + OTP (Terminal) - S Line 42 St. + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 99.70 + + 99.70 + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 81.10 + + 81.10 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 81.40 + + 81.60 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 81.60 + + 81.90 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 82.40 + + 84.90 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 81.80 + + 79.40 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 82.20 + + 84.30 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 82.30 + + 83.30 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 89.10 + 86.50 + 89.10 + 86.50 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 89.10 + 84.90 + 89.10 + 83.10 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 89.10 + 85.40 + 89.10 + 86.40 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 89.10 + 86.20 + 89.10 + 88.30 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 89.10 + 85.90 + 89.10 + 84.80 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 89.10 + 86.10 + 89.10 + 87.00 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 89.10 + 86.20 + 89.10 + 86.90 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 89.10 + 86.30 + 89.10 + 86.60 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 89.10 + 86.40 + 89.10 + 87.60 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 89.10 + 87.00 + 89.10 + 88.60 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 89.10 + 83.30 + 89.10 + 83.30 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 89.10 + 82.50 + 89.10 + 81.60 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 89.10 + 83.30 + 89.10 + 84.80 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 89.10 + 84.10 + 89.10 + 86.60 + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 89.10 + + 89.10 + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 89.10 + + 89.10 + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 89.10 + + 89.10 + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 89.10 + + 89.10 + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 89.10 + + 89.10 + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 89.10 + + 89.10 + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 89.10 + + 89.10 + + + + 391699 + 391690 + NYC Transit + OTP (Terminal) - A Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 89.10 + + 89.10 + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 91.70 + + 91.70 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 86.60 + + 81.60 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 86.30 + + 85.70 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 88.00 + + 93.30 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 88.40 + + 89.90 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 89.60 + + 96.30 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 90.20 + + 93.70 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 94.20 + 94.80 + 94.20 + 94.80 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 94.20 + 90.80 + 94.20 + 86.50 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 94.20 + 92.20 + 94.20 + 94.60 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 94.20 + 92.80 + 94.20 + 94.40 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 94.20 + 92.70 + 94.20 + 92.10 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 94.20 + 92.60 + 94.20 + 92.20 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 94.20 + 92.50 + 94.20 + 91.90 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 94.20 + 92.20 + 94.20 + 90.60 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 94.20 + 92.10 + 94.20 + 91.00 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 94.20 + 92.70 + 94.20 + 95.40 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 94.20 + 83.00 + 94.20 + 83.00 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 94.20 + 84.40 + 94.20 + 85.80 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 94.20 + 86.30 + 94.20 + 89.70 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 94.20 + 87.50 + 94.20 + 90.80 + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 94.20 + + 94.20 + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 94.20 + + 94.20 + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 94.20 + + 94.20 + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 94.20 + + 94.20 + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 94.20 + + 94.20 + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 94.20 + + 94.20 + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 94.20 + + 94.20 + + + + 391700 + 391690 + NYC Transit + OTP (Terminal) - B Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 94.20 + + 94.20 + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 91.70 + + 91.70 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 89.30 + + 86.80 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 89.30 + + 89.30 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 90.20 + + 93.10 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 90.40 + + 91.00 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 90.60 + + 91.50 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 90.90 + + 92.80 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 94.50 + 93.90 + 94.50 + 93.90 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 94.50 + 92.60 + 94.50 + 91.20 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 94.50 + 93.00 + 94.50 + 93.60 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 94.50 + 93.30 + 94.50 + 94.20 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 94.50 + 93.40 + 94.50 + 93.70 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 94.50 + 93.30 + 94.50 + 93.20 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 94.50 + 91.90 + 94.50 + 83.50 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 94.50 + 91.80 + 94.50 + 90.80 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 94.50 + 91.70 + 94.50 + 91.30 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 94.50 + 92.20 + 94.50 + 94.00 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 94.50 + 95.30 + 94.50 + 95.30 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 94.50 + 93.10 + 94.50 + 90.70 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 94.50 + 93.00 + 94.50 + 92.80 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 94.50 + 93.40 + 94.50 + 94.70 + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 94.50 + + 94.50 + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 94.50 + + 94.50 + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 94.50 + + 94.50 + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 94.50 + + 94.50 + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 94.50 + + 94.50 + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 94.50 + + 94.50 + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 94.50 + + 94.50 + + + + 391701 + 391690 + NYC Transit + OTP (Terminal) - C Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 94.50 + + 94.50 + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 83.90 + + 83.90 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 82.60 + + 81.20 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 82.70 + + 83.00 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 82.20 + + 80.40 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 81.20 + + 77.60 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 82.10 + + 86.90 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 82.10 + + 82.10 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 91.60 + 87.40 + 91.60 + 87.40 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 91.60 + 83.60 + 91.60 + 79.60 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 91.60 + 85.30 + 91.60 + 88.30 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 91.60 + 85.70 + 91.60 + 86.80 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 91.60 + 85.70 + 91.60 + 85.80 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 91.60 + 86.60 + 91.60 + 90.90 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 91.60 + 87.30 + 91.60 + 91.10 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 91.60 + 87.70 + 91.60 + 90.40 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 91.60 + 88.20 + 91.60 + 91.90 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 91.60 + 89.20 + 91.60 + 93.80 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 91.60 + 87.20 + 91.60 + 87.20 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 91.60 + 87.20 + 91.60 + 87.10 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 91.60 + 88.00 + 91.60 + 89.50 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 91.60 + 88.90 + 91.60 + 91.40 + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 91.60 + + 91.60 + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 91.60 + + 91.60 + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 91.60 + + 91.60 + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 91.60 + + 91.60 + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 91.60 + + 91.60 + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 91.60 + + 91.60 + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 91.60 + + 91.60 + + + + 391702 + 391690 + NYC Transit + OTP (Terminal) - D Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 91.60 + + 91.60 + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 80.00 + + 80.00 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 78.90 + + 77.80 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 81.20 + + 86.00 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 83.40 + + 90.00 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 85.00 + + 91.60 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 85.50 + + 87.90 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 86.30 + + 90.80 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 90.70 + 89.30 + 90.70 + 89.30 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 90.70 + 88.90 + 90.70 + 88.50 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 90.70 + 87.90 + 90.70 + 86.10 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 90.70 + 87.60 + 90.70 + 86.90 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 90.70 + 87.50 + 90.70 + 87.20 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 90.70 + 86.80 + 90.70 + 83.30 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 90.70 + 86.40 + 90.70 + 84.00 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 90.70 + 86.70 + 90.70 + 88.50 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 90.70 + 86.50 + 90.70 + 85.40 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 90.70 + 86.80 + 90.70 + 87.50 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 90.70 + 90.10 + 90.70 + 90.10 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 90.70 + 87.80 + 90.70 + 85.30 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 90.70 + 88.00 + 90.70 + 88.30 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 90.70 + 88.60 + 90.70 + 90.30 + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 90.70 + + 90.70 + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 90.70 + + 90.70 + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 90.70 + + 90.70 + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 90.70 + + 90.70 + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 90.70 + + 90.70 + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 90.70 + + 90.70 + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 90.70 + + 90.70 + + + + 391703 + 391690 + NYC Transit + OTP (Terminal) - E Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 90.70 + + 90.70 + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 66.60 + + 66.60 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 64.40 + + 62.30 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 68.20 + + 76.00 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 70.60 + + 78.30 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 72.00 + + 77.10 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 73.90 + + 84.20 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 75.20 + + 82.70 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 84.10 + 81.70 + 84.10 + 81.70 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 84.10 + 81.30 + 84.10 + 81.00 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 84.10 + 82.40 + 84.10 + 84.10 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 84.10 + 82.80 + 84.10 + 84.20 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 84.10 + 82.10 + 84.10 + 79.20 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 84.10 + 81.80 + 84.10 + 80.00 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 84.10 + 81.20 + 84.10 + 78.10 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 84.10 + 81.40 + 84.10 + 82.30 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 84.10 + 81.50 + 84.10 + 82.50 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 84.10 + 82.30 + 84.10 + 83.70 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 84.10 + 87.00 + 84.10 + 87.00 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 84.10 + 85.10 + 84.10 + 83.10 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 84.10 + 85.10 + 84.10 + 84.90 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 84.10 + 85.90 + 84.10 + 88.20 + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 84.10 + + 84.10 + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 84.10 + + 84.10 + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 84.10 + + 84.10 + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 84.10 + + 84.10 + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 84.10 + + 84.10 + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 84.10 + + 84.10 + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 84.10 + + 84.10 + + + + 391704 + 391690 + NYC Transit + OTP (Terminal) - F Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 84.10 + + 84.10 + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 99.00 + + 99.00 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 99.50 + + 99.90 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 99.50 + + 99.70 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 99.60 + + 99.90 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 99.50 + + 99.20 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 99.60 + + 99.70 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 99.60 + + 99.80 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 99.80 + 99.90 + 99.80 + 99.90 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 99.80 + 98.80 + 99.80 + 97.50 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 99.80 + 99.20 + 99.80 + 99.90 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 99.80 + 99.40 + 99.80 + 99.80 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 99.80 + 99.50 + 99.80 + 100.00 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 99.80 + 99.60 + 99.80 + 100.00 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 99.80 + 99.60 + 99.80 + 99.70 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 99.80 + 99.60 + 99.80 + 99.80 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 99.80 + 99.60 + 99.80 + 99.80 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 99.80 + 99.60 + 99.80 + 99.80 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 99.80 + 97.00 + 99.80 + 97.00 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 99.80 + 98.30 + 99.80 + 99.80 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 99.80 + 98.30 + 99.80 + 98.20 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 99.80 + 98.30 + 99.80 + 98.50 + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 99.80 + + 99.80 + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 99.80 + + 99.80 + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 99.80 + + 99.80 + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 99.80 + + 99.80 + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 99.80 + + 99.80 + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 99.80 + + 99.80 + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 99.80 + + 99.80 + + + + 391705 + 391690 + NYC Transit + OTP (Terminal) - S Fkln Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 99.80 + + 99.80 + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 79.30 + + 79.30 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 79.40 + + 79.50 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 81.40 + + 85.50 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 84.70 + + 94.80 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 85.30 + + 87.70 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 87.00 + + 96.30 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 87.90 + + 93.10 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 96.60 + 89.30 + 96.60 + 89.30 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 96.60 + 89.30 + 96.60 + 89.20 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 96.60 + 91.00 + 96.60 + 94.00 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 96.60 + 91.40 + 96.60 + 92.60 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 96.60 + 91.70 + 96.60 + 92.60 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 96.60 + 92.40 + 96.60 + 95.80 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 96.60 + 92.20 + 96.60 + 91.20 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 96.60 + 92.50 + 96.60 + 93.90 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 96.60 + 92.30 + 96.60 + 91.30 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 96.60 + 92.50 + 96.60 + 95.10 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 96.60 + 92.60 + 96.60 + 92.60 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 96.60 + 93.50 + 96.60 + 94.50 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 96.60 + 93.60 + 96.60 + 93.80 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 96.60 + 93.70 + 96.60 + 93.80 + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 96.60 + + 96.60 + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 96.60 + + 96.60 + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 96.60 + + 96.60 + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 96.60 + + 96.60 + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 96.60 + + 96.60 + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 96.60 + + 96.60 + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 96.60 + + 96.60 + + + + 391706 + 391690 + NYC Transit + OTP (Terminal) - G Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 96.60 + + 96.60 + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 94.20 + + 94.20 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 95.40 + + 96.70 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 95.50 + + 95.80 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 96.20 + + 98.40 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 96.70 + + 98.60 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 97.00 + + 98.50 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 97.30 + + 98.70 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 98.70 + 98.90 + 98.70 + 98.90 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 98.70 + 97.30 + 98.70 + 95.60 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 98.70 + 98.00 + 98.70 + 99.10 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 98.70 + 98.20 + 98.70 + 98.80 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 98.70 + 98.00 + 98.70 + 97.20 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 98.70 + 97.80 + 98.70 + 96.80 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 98.70 + 97.70 + 98.70 + 97.20 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 98.70 + 97.70 + 98.70 + 97.90 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 98.70 + 97.60 + 98.70 + 96.70 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 98.70 + 97.60 + 98.70 + 97.50 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 98.70 + 96.10 + 98.70 + 96.10 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 98.70 + 96.00 + 98.70 + 95.90 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 98.70 + 96.80 + 98.70 + 98.20 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 98.70 + 97.10 + 98.70 + 97.80 + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 98.70 + + 98.70 + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 98.70 + + 98.70 + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 98.70 + + 98.70 + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 98.70 + + 98.70 + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 98.70 + + 98.70 + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 98.70 + + 98.70 + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 98.70 + + 98.70 + + + + 391707 + 391690 + NYC Transit + OTP (Terminal) - J Z Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 98.70 + + 98.70 + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 96.20 + + 96.20 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 95.10 + + 93.90 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 95.70 + + 97.10 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 96.20 + + 97.70 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 95.90 + + 94.70 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 95.80 + + 95.00 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 95.80 + + 96.30 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 94.90 + 96.20 + 94.90 + 96.20 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 94.90 + 96.20 + 94.90 + 96.20 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 94.90 + 96.20 + 94.90 + 96.30 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 94.90 + 96.40 + 94.90 + 96.80 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 94.90 + 95.80 + 94.90 + 93.50 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 94.90 + 96.10 + 94.90 + 97.30 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 94.90 + 95.70 + 94.90 + 93.40 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 94.90 + 95.50 + 94.90 + 94.00 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 94.90 + 95.40 + 94.90 + 95.10 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 94.90 + 95.80 + 94.90 + 98.20 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 95.50 + 95.20 + 95.50 + 95.20 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 95.50 + 94.90 + 95.50 + 94.60 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 95.50 + 95.50 + 95.50 + 96.60 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 95.50 + 95.90 + 95.50 + 97.10 + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 391708 + 391690 + NYC Transit + OTP (Terminal) - L Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 95.50 + + 95.50 + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 97.30 + + 97.30 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 97.70 + + 98.20 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 97.90 + + 98.10 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 98.10 + + 98.80 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 98.30 + + 99.30 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 98.30 + + 98.40 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 98.40 + + 98.50 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 92.70 + 99.00 + 92.70 + 99.00 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 92.70 + 97.70 + 92.70 + 96.30 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 92.70 + 98.20 + 92.70 + 99.20 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 92.70 + 98.40 + 92.70 + 98.80 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 92.70 + 98.30 + 92.70 + 97.80 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 92.70 + 97.20 + 92.70 + 92.30 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 92.70 + 95.80 + 92.70 + 88.90 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 92.70 + 95.30 + 92.70 + 93.00 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 92.70 + 94.70 + 92.70 + 90.40 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 92.70 + 94.60 + 92.70 + 93.80 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 92.70 + 89.20 + 92.70 + 89.20 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 92.70 + 89.30 + 92.70 + 89.40 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 92.70 + 90.50 + 92.70 + 92.70 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 92.70 + 91.00 + 92.70 + 92.40 + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 92.70 + + 92.70 + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 92.70 + + 92.70 + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 92.70 + + 92.70 + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 92.70 + + 92.70 + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 92.70 + + 92.70 + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 92.70 + + 92.70 + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 92.70 + + 92.70 + + + + 391709 + 391690 + NYC Transit + OTP (Terminal) - M Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 92.70 + + 92.70 + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 91.20 + + 91.20 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 89.00 + + 86.90 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 88.30 + + 86.80 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 88.90 + + 90.70 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 88.50 + + 86.90 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 88.90 + + 90.80 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 88.90 + + 89.10 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 92.80 + 93.40 + 92.80 + 93.40 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 92.80 + 90.40 + 92.80 + 87.30 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 92.80 + 90.60 + 92.80 + 90.90 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 92.80 + 91.00 + 92.80 + 92.20 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 92.80 + 90.60 + 92.80 + 88.60 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 92.80 + 90.40 + 92.80 + 89.60 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 92.80 + 89.00 + 92.80 + 80.70 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 92.80 + 88.50 + 92.80 + 84.90 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 92.80 + 87.40 + 92.80 + 78.40 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 92.80 + 85.60 + 92.80 + 75.30 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 92.80 + 73.60 + 92.80 + 73.60 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 92.80 + 77.00 + 92.80 + 80.80 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 92.80 + 78.10 + 92.80 + 80.10 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 92.80 + 79.00 + 92.80 + 81.70 + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 92.80 + + 92.80 + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 92.80 + + 92.80 + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 92.80 + + 92.80 + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 92.80 + + 92.80 + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 92.80 + + 92.80 + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 92.80 + + 92.80 + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 92.80 + + 92.80 + + + + 391710 + 391690 + NYC Transit + OTP (Terminal) - N Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 92.80 + + 92.80 + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 96.50 + + 96.50 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 95.00 + + 93.60 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 94.40 + + 93.10 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 94.70 + + 95.90 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 94.50 + + 93.60 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 94.80 + + 96.70 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 95.20 + + 96.90 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 96.80 + 95.50 + 96.80 + 95.50 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 96.80 + 93.30 + 96.80 + 90.90 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 96.80 + 94.10 + 96.80 + 95.50 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 96.80 + 94.60 + 96.80 + 96.10 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 96.80 + 94.50 + 96.80 + 94.20 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 96.80 + 94.60 + 96.80 + 94.60 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 96.80 + 93.60 + 96.80 + 87.90 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 96.80 + 93.00 + 96.80 + 89.00 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 96.80 + 91.80 + 96.80 + 81.90 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 96.80 + 91.20 + 96.80 + 88.10 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 96.80 + 80.40 + 96.80 + 80.40 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 96.80 + 83.20 + 96.80 + 86.30 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 96.80 + 85.50 + 96.80 + 89.30 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 96.80 + 86.80 + 96.80 + 90.60 + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 96.80 + + 96.80 + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 96.80 + + 96.80 + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 96.80 + + 96.80 + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 96.80 + + 96.80 + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 96.80 + + 96.80 + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 96.80 + + 96.80 + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 96.80 + + 96.80 + + + + 391711 + 391690 + NYC Transit + OTP (Terminal) - Q Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 96.80 + + 96.80 + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 92.00 + + 92.00 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 89.60 + + 87.10 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 88.70 + + 86.80 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 89.60 + + 92.60 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 89.60 + + 89.60 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 89.60 + + 89.20 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 89.90 + + 91.70 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 93.20 + 90.50 + 93.20 + 90.50 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 93.20 + 89.50 + 93.20 + 88.40 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 93.20 + 89.40 + 93.20 + 89.30 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 93.20 + 89.80 + 93.20 + 90.80 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 93.20 + 89.80 + 93.20 + 89.80 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 93.20 + 89.70 + 93.20 + 89.40 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 93.20 + 89.80 + 93.20 + 90.20 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 93.20 + 89.90 + 93.20 + 90.60 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 93.20 + 89.70 + 93.20 + 88.60 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 93.20 + 89.90 + 93.20 + 89.30 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 93.20 + 85.80 + 93.20 + 85.80 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 93.20 + 87.70 + 93.20 + 89.90 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 93.20 + 87.90 + 93.20 + 88.10 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 93.20 + 88.30 + 93.20 + 89.50 + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 93.20 + + 93.20 + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 93.20 + + 93.20 + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 93.20 + + 93.20 + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 93.20 + + 93.20 + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 93.20 + + 93.20 + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 93.20 + + 93.20 + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 93.20 + + 93.20 + + + + 391712 + 391690 + NYC Transit + OTP (Terminal) - R Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 93.20 + + 93.20 + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 92.10 + + 92.10 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 92.70 + + 93.30 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 93.40 + + 94.90 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 94.40 + + 97.60 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 94.20 + + 93.50 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 94.50 + + 96.30 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 94.60 + + 95.10 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + 98.80 + 97.50 + 98.80 + 97.50 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + 98.80 + 96.10 + 98.80 + 94.70 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + 98.80 + 96.80 + 98.80 + 98.00 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + 98.80 + 96.60 + 98.80 + 95.90 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + 98.80 + 96.60 + 98.80 + 96.70 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + 98.80 + 96.70 + 98.80 + 97.10 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + 98.80 + 96.80 + 98.80 + 97.40 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + 98.80 + 96.80 + 98.80 + 97.00 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + 98.80 + 96.90 + 98.80 + 97.30 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + 98.80 + 96.70 + 98.80 + 97.50 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + 98.80 + 93.90 + 98.80 + 93.90 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + 98.80 + 94.50 + 98.80 + 95.10 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + 98.80 + 94.90 + 98.80 + 95.70 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + 98.80 + 95.60 + 98.80 + 97.80 + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + 98.80 + + 98.80 + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + 98.80 + + 98.80 + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + 98.80 + + 98.80 + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + 98.80 + + 98.80 + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + 98.80 + + 98.80 + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + 98.80 + + 98.80 + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + 98.80 + + 98.80 + + + + 391713 + 391690 + NYC Transit + OTP (Terminal) - S Line Rock + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + 98.80 + + 98.80 + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 90.00 + + 90.00 + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 87.30 + + 84.60 + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 86.00 + + 83.40 + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 87.30 + + 91.40 + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 85.60 + + 82.10 + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 86.40 + + 89.00 + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 87.60 + + 92.40 + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + .00 + 91.40 + .00 + 91.40 + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + .00 + 90.10 + .00 + 88.70 + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + .00 + 89.00 + .00 + 87.10 + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + .00 + 88.70 + .00 + 87.90 + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + .00 + 88.90 + .00 + 89.60 + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + .00 + 88.30 + .00 + 85.10 + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + + + + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + + + + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + + + + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + + + + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391714 + 391690 + NYC Transit + OTP (Terminal) - V Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 1 + Service Indicators + M + U + % + 1 + + + + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 2 + Service Indicators + M + U + % + 1 + + + + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 3 + Service Indicators + M + U + % + 1 + + + + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 4 + Service Indicators + M + U + % + 1 + + + + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 5 + Service Indicators + M + U + % + 1 + + + + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 96.20 + + 96.20 + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 95.10 + + 94.00 + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 95.20 + + 95.60 + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 95.70 + + 97.00 + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 95.40 + + 94.60 + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 95.40 + + 95.20 + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 95.50 + + 95.80 + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 1 + Service Indicators + M + U + % + 1 + .00 + 97.90 + .00 + 97.90 + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 2 + Service Indicators + M + U + % + 1 + .00 + 95.80 + .00 + 93.50 + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 3 + Service Indicators + M + U + % + 1 + .00 + 95.30 + .00 + 94.40 + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 4 + Service Indicators + M + U + % + 1 + .00 + 95.60 + .00 + 96.60 + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 5 + Service Indicators + M + U + % + 1 + .00 + 95.30 + .00 + 93.70 + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 6 + Service Indicators + M + U + % + 1 + .00 + 95.40 + .00 + 96.40 + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 7 + Service Indicators + M + U + % + 1 + + + + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 8 + Service Indicators + M + U + % + 1 + + + + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 9 + Service Indicators + M + U + % + 1 + + + + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 11 + Service Indicators + M + U + % + 1 + + + + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 1 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 2 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 3 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 4 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 5 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 6 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 7 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 8 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 9 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 10 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 11 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 391715 + 391690 + NYC Transit + OTP (Terminal) - W Line + Subways weekday Terminal OTP evaluates performance based on schedule/service plan�in effect, includes all delays. + 2011 + 12 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 75.50 + + 75.50 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 75.70 + + 75.70 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 76.00 + + 76.00 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 76.20 + + 76.20 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 76.50 + + 76.50 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 76.70 + + 76.70 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 77.10 + + 77.10 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 77.40 + + 77.40 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 77.70 + + 77.70 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 77.90 + + 77.90 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 78.10 + + 78.10 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 78.10 + + 78.10 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 78.10 + 78.20 + 78.10 + 78.20 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 78.10 + 78.40 + 78.10 + 78.40 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 78.10 + 78.50 + 78.10 + 78.50 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 78.10 + 78.60 + 78.10 + 78.60 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 78.10 + 78.70 + 78.10 + 78.70 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 78.10 + 78.80 + 78.10 + 78.80 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 78.10 + 79.10 + 78.10 + 78.70 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 78.10 + 78.60 + 78.10 + 78.60 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 78.10 + 78.40 + 78.10 + 78.40 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 78.10 + 78.50 + 78.10 + 78.50 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 79.00 + 78.40 + 79.00 + 78.40 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 79.00 + 78.20 + 79.00 + 78.20 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 79.00 + 78.20 + 79.00 + 78.20 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 79.00 + 78.20 + 79.00 + 78.20 + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 79.00 + + 79.00 + + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 79.00 + + 79.00 + + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 79.00 + + 79.00 + + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 79.00 + + 79.00 + + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 79.00 + + 79.00 + + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 79.00 + + 79.00 + + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 79.00 + + 79.00 + + + + 392289 + + NYC Transit + Subway Wait Assessment + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 79.00 + + 79.00 + + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 73.10 + + 73.10 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 73.10 + + 73.10 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 73.00 + + 73.00 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 73.90 + + 73.90 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 74.10 + + 74.10 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 74.20 + + 74.20 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 74.40 + + 74.40 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 75.20 + + 75.20 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 75.60 + + 75.60 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 75.50 + + 75.50 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 76.00 + + 76.00 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 76.30 + + 76.30 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 76.30 + 76.50 + 76.30 + 76.50 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 76.30 + 77.10 + 76.30 + 77.10 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 76.30 + 77.10 + 76.30 + 77.10 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 76.30 + 76.90 + 76.30 + 76.90 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 76.30 + 76.90 + 76.30 + 76.90 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 76.30 + 77.30 + 76.30 + 77.30 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 76.30 + 76.30 + 76.30 + 75.30 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 76.30 + 75.60 + 76.30 + 75.60 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 76.30 + 74.60 + 76.30 + 74.60 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 76.30 + 73.90 + 76.30 + 73.90 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 70.60 + 75.90 + 70.60 + 75.90 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 75.70 + 77.30 + 75.70 + 77.30 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 75.70 + 78.30 + 75.70 + 78.30 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 75.70 + 78.60 + 75.70 + 78.60 + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 70.60 + + 70.60 + + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 70.60 + + 70.60 + + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 70.60 + + 70.60 + + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 70.60 + + 70.60 + + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 70.60 + + 70.60 + + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 70.60 + + 70.60 + + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 70.60 + + 70.60 + + + + 392297 + 392289 + NYC Transit + Subway Wait Assessment - 1 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 70.60 + + 70.60 + + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 71.80 + + 71.80 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 71.90 + + 71.90 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 72.30 + + 72.30 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 72.80 + + 72.80 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 72.90 + + 72.90 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 72.20 + + 72.20 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 73.20 + + 73.20 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 73.50 + + 73.50 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 73.90 + + 73.90 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 74.20 + + 74.20 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 74.30 + + 74.30 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 74.30 + + 74.30 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 74.30 + 74.20 + 74.30 + 74.20 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 74.30 + 73.90 + 74.30 + 73.90 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 74.30 + 74.10 + 74.30 + 74.10 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 74.30 + 73.90 + 74.30 + 73.90 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 74.30 + 74.40 + 74.30 + 74.40 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 74.30 + 74.30 + 74.30 + 74.30 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 74.30 + 72.00 + 74.30 + 71.80 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 74.30 + 71.70 + 74.30 + 71.70 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 74.30 + 72.40 + 74.30 + 72.40 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 74.30 + 71.70 + 74.30 + 71.70 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 66.50 + 69.60 + 66.50 + 69.60 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 71.80 + 71.90 + 71.80 + 71.90 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 71.80 + 72.40 + 71.80 + 72.40 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 71.80 + 73.80 + 71.80 + 73.80 + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 66.50 + + 66.50 + + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 66.50 + + 66.50 + + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 66.50 + + 66.50 + + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 66.50 + + 66.50 + + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 66.50 + + 66.50 + + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 66.50 + + 66.50 + + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 66.50 + + 66.50 + + + + 392300 + 392289 + NYC Transit + Subway Wait Assessment - 2 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 66.50 + + 66.50 + + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 74.30 + + 74.30 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 74.80 + + 74.80 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 75.40 + + 75.40 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 76.10 + + 76.10 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 76.00 + + 76.00 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 76.00 + + 76.00 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 76.60 + + 76.60 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 76.40 + + 76.40 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 76.90 + + 76.90 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 77.60 + + 77.60 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 77.50 + + 77.50 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 77.20 + + 77.20 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 77.20 + 77.80 + 77.20 + 77.80 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 77.20 + 78.20 + 77.20 + 78.20 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 77.20 + 77.80 + 77.20 + 77.80 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 77.20 + 77.70 + 77.20 + 77.70 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 77.20 + 77.60 + 77.20 + 77.60 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 77.20 + 77.90 + 77.20 + 77.90 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 77.20 + 78.10 + 77.20 + 77.10 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 77.20 + 77.10 + 77.20 + 77.10 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 77.20 + 76.00 + 77.20 + 76.00 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 77.20 + 77.70 + 77.20 + 77.70 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 72.80 + 75.10 + 72.80 + 75.10 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 77.60 + 76.30 + 77.60 + 76.30 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 77.60 + 76.10 + 77.60 + 76.10 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 77.60 + 77.10 + 77.60 + 77.10 + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 72.80 + + 72.80 + + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 72.80 + + 72.80 + + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 72.80 + + 72.80 + + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 72.80 + + 72.80 + + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 72.80 + + 72.80 + + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 72.80 + + 72.80 + + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 72.80 + + 72.80 + + + + 392303 + 392289 + NYC Transit + Subway Wait Assessment - 3 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 72.80 + + 72.80 + + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 68.40 + + 68.40 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 68.30 + + 68.30 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 67.90 + + 67.90 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 68.30 + + 68.30 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 68.70 + + 68.70 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 68.80 + + 68.80 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 69.00 + + 69.00 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 69.50 + + 69.50 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 70.10 + + 70.10 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 70.60 + + 70.60 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 70.90 + + 70.90 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 71.40 + + 71.40 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 71.40 + 72.00 + 71.40 + 72.00 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 71.40 + 72.80 + 71.40 + 72.80 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 71.40 + 74.00 + 71.40 + 74.00 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 71.40 + 74.50 + 71.40 + 74.50 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 71.40 + 75.10 + 71.40 + 75.10 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 71.40 + 74.60 + 71.40 + 74.60 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 71.40 + 74.40 + 71.40 + 72.70 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 71.40 + 73.40 + 71.40 + 73.40 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 71.40 + 74.40 + 71.40 + 74.40 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 71.40 + 73.70 + 71.40 + 73.70 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 68.30 + 70.10 + 68.30 + 70.10 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 73.90 + 72.00 + 73.90 + 72.00 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 73.90 + 72.90 + 73.90 + 72.90 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 73.90 + 72.20 + 73.90 + 72.20 + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 68.30 + + 68.30 + + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 68.30 + + 68.30 + + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 68.30 + + 68.30 + + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 68.30 + + 68.30 + + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 68.30 + + 68.30 + + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 68.30 + + 68.30 + + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 68.30 + + 68.30 + + + + 392306 + 392289 + NYC Transit + Subway Wait Assessment - 4 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 68.30 + + 68.30 + + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 70.60 + + 70.60 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 70.40 + + 70.40 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 70.40 + + 70.40 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 70.60 + + 70.60 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 70.50 + + 70.50 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 70.90 + + 70.90 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 72.20 + + 72.20 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 72.10 + + 72.10 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 71.80 + + 71.80 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 71.30 + + 71.30 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 71.60 + + 71.60 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 71.60 + + 71.60 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 71.60 + 71.00 + 71.60 + 71.00 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 71.60 + 71.60 + 71.60 + 71.60 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 71.60 + 71.90 + 71.60 + 71.90 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 71.60 + 71.70 + 71.60 + 71.70 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 71.60 + 72.40 + 71.60 + 72.40 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 71.60 + 72.20 + 71.60 + 72.20 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 71.60 + 72.60 + 71.60 + 72.00 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 71.60 + 71.90 + 71.60 + 71.90 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 71.60 + 71.90 + 71.60 + 71.90 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 71.60 + 71.90 + 71.60 + 71.90 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 65.90 + 67.20 + 65.90 + 67.20 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 71.90 + 71.50 + 71.90 + 71.50 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 71.90 + 71.40 + 71.90 + 71.40 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 71.90 + 70.30 + 71.90 + 70.30 + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 65.90 + + 65.90 + + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 65.90 + + 65.90 + + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 65.90 + + 65.90 + + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 65.90 + + 65.90 + + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 65.90 + + 65.90 + + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 65.90 + + 65.90 + + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 65.90 + + 65.90 + + + + 392309 + 392289 + NYC Transit + Subway Wait Assessment - 5 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 65.90 + + 65.90 + + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 71.40 + + 71.40 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 71.70 + + 71.70 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 72.10 + + 72.10 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 72.50 + + 72.50 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 73.10 + + 73.10 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 72.90 + + 72.90 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 73.00 + + 73.00 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 73.20 + + 73.20 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 74.00 + + 74.00 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 74.10 + + 74.10 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 73.30 + + 73.30 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 73.00 + + 73.00 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 73.00 + 73.20 + 73.00 + 73.20 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 73.00 + 73.10 + 73.00 + 73.10 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 73.00 + 73.20 + 73.00 + 73.20 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 73.00 + 73.40 + 73.00 + 73.40 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 73.00 + 73.20 + 73.00 + 73.20 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 73.00 + 73.50 + 73.00 + 73.50 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 73.00 + 75.40 + 73.00 + 73.30 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 73.00 + 74.60 + 73.00 + 74.60 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 73.00 + 75.50 + 73.00 + 75.50 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 73.00 + 78.50 + 73.00 + 78.50 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 72.10 + 65.80 + 72.10 + 65.80 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 75.60 + 74.40 + 75.60 + 74.40 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 75.60 + 76.90 + 75.60 + 76.90 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 75.60 + 75.50 + 75.60 + 75.50 + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 72.10 + + 72.10 + + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 72.10 + + 72.10 + + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 72.10 + + 72.10 + + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 72.10 + + 72.10 + + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 72.10 + + 72.10 + + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 72.10 + + 72.10 + + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 72.10 + + 72.10 + + + + 392312 + 392289 + NYC Transit + Subway Wait Assessment - 6 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 72.10 + + 72.10 + + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 74.50 + + 74.50 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 74.40 + + 74.40 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 74.40 + + 74.40 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 74.30 + + 74.30 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 74.80 + + 74.80 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 74.90 + + 74.90 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 74.90 + + 74.90 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 76.10 + + 76.10 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 75.80 + + 75.80 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 75.80 + + 75.80 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 76.10 + + 76.10 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 76.10 + + 76.10 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 76.10 + 76.10 + 76.10 + 76.10 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 76.10 + 76.20 + 76.10 + 76.20 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 76.10 + 75.70 + 76.10 + 75.70 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 76.10 + 75.60 + 76.10 + 75.60 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 76.10 + 75.40 + 76.10 + 75.40 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 76.10 + 74.60 + 76.10 + 74.60 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 76.10 + 74.40 + 76.10 + 74.40 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 76.10 + 74.20 + 76.10 + 74.20 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 76.10 + 74.10 + 76.10 + 74.10 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 76.10 + 74.20 + 76.10 + 74.20 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 74.50 + 74.30 + 74.50 + 74.30 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 74.50 + 74.40 + 74.50 + 74.40 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 74.50 + 74.70 + 74.50 + 74.70 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 74.50 + 75.00 + 74.50 + 75.00 + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 74.50 + + 74.50 + + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 74.50 + + 74.50 + + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 74.50 + + 74.50 + + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 74.50 + + 74.50 + + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 74.50 + + 74.50 + + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 74.50 + + 74.50 + + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 74.50 + + 74.50 + + + + 392315 + 392289 + NYC Transit + Subway Wait Assessment - 7 Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 74.50 + + 74.50 + + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 77.10 + + 77.10 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 77.20 + + 77.20 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 77.50 + + 77.50 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 76.50 + + 76.50 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 76.60 + + 76.60 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 76.60 + + 76.60 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 76.70 + + 76.70 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 77.10 + + 77.10 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 77.30 + + 77.30 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 76.90 + + 76.90 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 76.50 + + 76.50 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 77.60 + + 77.60 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 77.60 + 77.80 + 77.60 + 77.80 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 77.60 + 78.50 + 77.60 + 78.50 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 77.60 + 78.50 + 77.60 + 78.50 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 77.60 + 79.90 + 77.60 + 79.90 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 77.60 + 80.30 + 77.60 + 80.30 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 77.60 + 81.30 + 77.60 + 81.30 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 77.60 + 82.20 + 77.60 + 82.20 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 77.60 + 81.70 + 77.60 + 81.70 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 77.60 + 81.60 + 77.60 + 81.60 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 77.60 + 81.90 + 77.60 + 81.90 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 82.60 + 82.10 + 82.60 + 82.10 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 82.60 + 81.90 + 82.60 + 81.90 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 82.60 + 82.30 + 82.60 + 82.30 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 82.60 + 82.20 + 82.60 + 82.20 + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 82.60 + + 82.60 + + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 82.60 + + 82.60 + + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 82.60 + + 82.60 + + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 82.60 + + 82.60 + + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 82.60 + + 82.60 + + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 82.60 + + 82.60 + + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 82.60 + + 82.60 + + + + 392318 + 392289 + NYC Transit + Subway Wait Assessment - S 42 St + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 82.60 + + 82.60 + + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 71.40 + + 71.40 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 71.20 + + 71.20 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 71.30 + + 71.30 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 71.20 + + 71.20 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 71.00 + + 71.00 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 71.20 + + 71.20 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 71.00 + + 71.00 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 71.10 + + 71.10 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 71.10 + + 71.10 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 71.20 + + 71.20 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 70.90 + + 70.90 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 70.60 + + 70.60 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 70.60 + 70.70 + 70.60 + 70.70 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 70.60 + 71.20 + 70.60 + 71.20 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 70.60 + 71.00 + 70.60 + 71.00 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 70.60 + 71.30 + 70.60 + 71.30 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 70.60 + 71.50 + 70.60 + 71.50 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 70.60 + 71.40 + 70.60 + 71.40 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 70.60 + 71.20 + 70.60 + 71.20 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 70.60 + 71.00 + 70.60 + 71.00 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 70.60 + 71.00 + 70.60 + 71.00 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 70.60 + 71.70 + 70.60 + 71.70 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 72.60 + 72.10 + 72.60 + 72.10 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 72.60 + 72.40 + 72.60 + 72.40 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 72.60 + 72.80 + 72.60 + 72.80 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 72.60 + 72.50 + 72.60 + 72.50 + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 72.60 + + 72.60 + + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 72.60 + + 72.60 + + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 72.60 + + 72.60 + + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 72.60 + + 72.60 + + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 72.60 + + 72.60 + + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 72.60 + + 72.60 + + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 72.60 + + 72.60 + + + + 392321 + 392289 + NYC Transit + Subway Wait Assessment - A Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 72.60 + + 72.60 + + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 76.50 + + 76.50 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 76.80 + + 76.80 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 76.50 + + 76.50 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 76.40 + + 76.40 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 77.20 + + 77.20 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 77.40 + + 77.40 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 78.00 + + 78.00 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 78.00 + + 78.00 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 78.00 + + 78.00 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 78.10 + + 78.10 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 77.90 + + 77.90 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 78.10 + + 78.10 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 78.10 + 78.20 + 78.10 + 78.20 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 78.10 + 78.00 + 78.10 + 78.00 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 78.10 + 78.20 + 78.10 + 78.20 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 78.10 + 78.20 + 78.10 + 78.20 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 78.10 + 77.80 + 78.10 + 77.80 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 78.10 + 77.50 + 78.10 + 77.50 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 78.10 + 77.80 + 78.10 + 77.80 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 78.10 + 77.60 + 78.10 + 77.60 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 78.10 + 77.30 + 78.10 + 77.30 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 78.10 + 77.20 + 78.10 + 77.20 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 78.50 + 78.00 + 78.50 + 78.00 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 78.50 + 78.00 + 78.50 + 78.00 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 78.50 + 77.60 + 78.50 + 77.60 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 78.50 + 77.90 + 78.50 + 77.90 + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 78.50 + + 78.50 + + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 78.50 + + 78.50 + + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 78.50 + + 78.50 + + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 78.50 + + 78.50 + + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 78.50 + + 78.50 + + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 78.50 + + 78.50 + + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 78.50 + + 78.50 + + + + 392324 + 392289 + NYC Transit + Subway Wait Assessment - B Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 78.50 + + 78.50 + + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 78.10 + + 78.10 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 77.70 + + 77.70 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 78.60 + + 78.60 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 78.80 + + 78.80 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 79.30 + + 79.30 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 78.70 + + 78.70 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 79.00 + + 79.00 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 78.70 + + 78.70 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 78.90 + + 78.90 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 78.70 + + 78.70 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 78.60 + + 78.60 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 78.80 + + 78.80 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 78.80 + 78.90 + 78.80 + 78.90 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 78.80 + 79.70 + 78.80 + 79.70 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 78.80 + 79.60 + 78.80 + 79.60 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 78.80 + 79.60 + 78.80 + 79.60 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 78.80 + 79.70 + 78.80 + 79.70 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 78.80 + 80.60 + 78.80 + 80.60 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 78.80 + 80.30 + 78.80 + 80.30 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 78.80 + 80.40 + 78.80 + 80.40 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 78.80 + 80.40 + 78.80 + 80.40 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 78.80 + 81.20 + 78.80 + 81.20 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 82.10 + 81.60 + 82.10 + 81.60 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 82.10 + 81.40 + 82.10 + 81.40 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 82.10 + 81.20 + 82.10 + 81.20 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 82.10 + 81.40 + 82.10 + 81.40 + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 82.10 + + 82.10 + + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 82.10 + + 82.10 + + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 82.10 + + 82.10 + + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 82.10 + + 82.10 + + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 82.10 + + 82.10 + + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 82.10 + + 82.10 + + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 82.10 + + 82.10 + + + + 392327 + 392289 + NYC Transit + Subway Wait Assessment - C Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 82.10 + + 82.10 + + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 78.00 + + 78.00 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 77.90 + + 77.90 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 78.80 + + 78.80 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 79.00 + + 79.00 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 79.50 + + 79.50 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 80.10 + + 80.10 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 80.10 + + 80.10 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 80.60 + + 80.60 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 80.50 + + 80.50 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 80.50 + + 80.50 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 80.80 + + 80.80 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 80.60 + + 80.60 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 80.60 + 80.40 + 80.60 + 80.40 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 80.60 + 80.60 + 80.60 + 80.60 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 80.60 + 80.30 + 80.60 + 80.30 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 80.60 + 80.40 + 80.60 + 80.40 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 80.60 + 79.70 + 80.60 + 79.70 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 80.60 + 79.30 + 80.60 + 79.30 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 80.60 + 79.50 + 80.60 + 79.50 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 80.60 + 79.00 + 80.60 + 79.00 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 80.60 + 79.40 + 80.60 + 79.40 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 80.60 + 79.40 + 80.60 + 79.40 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 80.00 + 79.80 + 80.00 + 79.80 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 80.00 + 79.80 + 80.00 + 79.80 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 80.00 + 79.80 + 80.00 + 79.80 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 80.00 + 79.70 + 80.00 + 79.70 + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 80.00 + + 80.00 + + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 80.00 + + 80.00 + + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 80.00 + + 80.00 + + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 80.00 + + 80.00 + + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 80.00 + + 80.00 + + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 80.00 + + 80.00 + + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 80.00 + + 80.00 + + + + 392333 + 392289 + NYC Transit + Subway Wait Assessment - D Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 80.00 + + 80.00 + + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 71.60 + + 71.60 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 71.10 + + 71.10 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 70.90 + + 70.90 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 70.90 + + 70.90 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 70.70 + + 70.70 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 71.40 + + 71.40 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 72.00 + + 72.00 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 72.30 + + 72.30 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 72.50 + + 72.50 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 73.90 + + 73.90 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 74.00 + + 74.00 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 74.00 + + 74.00 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 74.00 + 74.30 + 74.00 + 74.30 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 74.00 + 74.70 + 74.00 + 74.70 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 74.00 + 75.30 + 74.00 + 75.30 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 74.00 + 75.60 + 74.00 + 75.60 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 74.00 + 75.80 + 74.00 + 75.80 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 74.00 + 75.90 + 74.00 + 75.90 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 74.00 + 75.70 + 74.00 + 75.70 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 74.00 + 75.80 + 74.00 + 75.80 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 74.00 + 75.90 + 74.00 + 75.90 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 74.00 + 75.40 + 74.00 + 75.40 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 76.30 + 76.00 + 76.30 + 76.00 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 76.30 + 75.80 + 76.30 + 75.80 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 76.30 + 75.30 + 76.30 + 75.30 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 76.30 + 75.40 + 76.30 + 75.40 + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 76.30 + + 76.30 + + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 76.30 + + 76.30 + + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 76.30 + + 76.30 + + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 76.30 + + 76.30 + + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 76.30 + + 76.30 + + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 76.30 + + 76.30 + + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 76.30 + + 76.30 + + + + 392336 + 392289 + NYC Transit + Subway Wait Assessment - E Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 76.30 + + 76.30 + + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 69.30 + + 69.30 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 68.80 + + 68.80 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 68.70 + + 68.70 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 68.80 + + 68.80 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 68.80 + + 68.80 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 69.40 + + 69.40 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 69.20 + + 69.20 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 69.10 + + 69.10 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 69.70 + + 69.70 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 70.00 + + 70.00 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 69.90 + + 69.90 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 70.10 + + 70.10 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 70.10 + 69.90 + 70.10 + 69.90 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 70.10 + 70.40 + 70.10 + 70.40 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 70.10 + 70.60 + 70.10 + 70.60 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 70.10 + 70.50 + 70.10 + 70.50 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 70.10 + 71.30 + 70.10 + 71.30 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 70.10 + 71.60 + 70.10 + 71.60 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 70.10 + 72.00 + 70.10 + 72.00 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 70.10 + 72.30 + 70.10 + 72.30 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 70.10 + 71.70 + 70.10 + 71.70 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 70.10 + 72.70 + 70.10 + 72.70 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 73.50 + 73.20 + 73.50 + 73.20 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 73.50 + 72.60 + 73.50 + 72.60 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 73.50 + 73.30 + 73.50 + 73.30 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 73.50 + 73.70 + 73.50 + 73.70 + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 73.50 + + 73.50 + + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 73.50 + + 73.50 + + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 73.50 + + 73.50 + + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 73.50 + + 73.50 + + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 73.50 + + 73.50 + + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 73.50 + + 73.50 + + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 73.50 + + 73.50 + + + + 392339 + 392289 + NYC Transit + Subway Wait Assessment - F Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 73.50 + + 73.50 + + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 79.50 + + 79.50 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 79.20 + + 79.20 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 79.80 + + 79.80 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 80.20 + + 80.20 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 79.90 + + 79.90 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 79.90 + + 79.90 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 79.70 + + 79.70 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 79.30 + + 79.30 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 79.80 + + 79.80 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 80.00 + + 80.00 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 80.20 + + 80.20 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 80.00 + + 80.00 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 80.00 + 80.70 + 80.00 + 80.70 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 80.00 + 81.00 + 80.00 + 81.00 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 80.00 + 81.40 + 80.00 + 81.40 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 80.00 + 81.40 + 80.00 + 81.40 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 80.00 + 82.00 + 80.00 + 82.00 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 80.00 + 82.50 + 80.00 + 82.50 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 80.00 + 83.00 + 80.00 + 83.00 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 80.00 + 83.50 + 80.00 + 83.50 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 80.00 + 83.20 + 80.00 + 83.20 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 80.00 + 83.90 + 80.00 + 83.90 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 85.00 + 84.10 + 85.00 + 84.10 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 85.00 + 84.30 + 85.00 + 84.30 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 85.00 + 83.50 + 85.00 + 83.50 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 85.00 + 83.00 + 85.00 + 83.00 + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 85.00 + + 85.00 + + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 85.00 + + 85.00 + + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 85.00 + + 85.00 + + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 85.00 + + 85.00 + + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 85.00 + + 85.00 + + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 85.00 + + 85.00 + + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 85.00 + + 85.00 + + + + 392342 + 392289 + NYC Transit + Subway Wait Assessment - G Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 85.00 + + 85.00 + + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 90.10 + + 90.10 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 91.50 + + 91.50 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 91.30 + + 91.30 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 91.50 + + 91.50 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 91.90 + + 91.90 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 92.20 + + 92.20 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 92.40 + + 92.40 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 92.70 + + 92.70 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 92.60 + + 92.60 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 92.60 + + 92.60 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 92.40 + + 92.40 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 92.50 + + 92.50 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 92.50 + 92.60 + 92.50 + 92.60 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 92.50 + 92.80 + 92.50 + 92.80 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 92.50 + 93.10 + 92.50 + 93.10 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 92.50 + 93.20 + 92.50 + 93.20 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 92.50 + 92.70 + 92.50 + 92.70 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 92.50 + 92.50 + 92.50 + 92.50 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 92.50 + 92.60 + 92.50 + 92.60 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 92.50 + 92.30 + 92.50 + 92.30 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 92.50 + 92.40 + 92.50 + 92.40 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 92.50 + 93.00 + 92.50 + 93.00 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 93.10 + 92.90 + 93.10 + 92.90 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 93.10 + 92.70 + 93.10 + 92.70 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 93.10 + 92.80 + 93.10 + 92.80 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 93.10 + 92.90 + 93.10 + 92.90 + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 93.10 + + 93.10 + + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 93.10 + + 93.10 + + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 93.10 + + 93.10 + + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 93.10 + + 93.10 + + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 93.10 + + 93.10 + + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 93.10 + + 93.10 + + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 93.10 + + 93.10 + + + + 392345 + 392289 + NYC Transit + Subway Wait Assessment - S Rock + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 93.10 + + 93.10 + + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 82.90 + + 82.90 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 83.50 + + 83.50 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 83.80 + + 83.80 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 84.10 + + 84.10 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 84.80 + + 84.80 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 84.80 + + 84.80 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 84.80 + + 84.80 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 85.00 + + 85.00 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 85.10 + + 85.10 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 85.60 + + 85.60 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 86.10 + + 86.10 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 86.00 + + 86.00 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 86.00 + 86.30 + 86.00 + 86.30 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 86.00 + 86.10 + 86.00 + 86.10 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 86.00 + 86.50 + 86.00 + 86.50 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 86.00 + 86.10 + 86.00 + 86.10 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 86.00 + 85.40 + 86.00 + 85.40 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 86.00 + 85.50 + 86.00 + 85.50 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 86.00 + 85.90 + 86.00 + 85.90 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 86.00 + 85.70 + 86.00 + 85.70 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 86.00 + 85.90 + 86.00 + 85.90 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 86.00 + 85.40 + 86.00 + 85.40 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 85.90 + 84.90 + 85.90 + 84.90 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 85.90 + 84.10 + 85.90 + 84.10 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 85.90 + 83.50 + 85.90 + 83.50 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 85.90 + 83.60 + 85.90 + 83.60 + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 85.90 + + 85.90 + + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 85.90 + + 85.90 + + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 85.90 + + 85.90 + + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 85.90 + + 85.90 + + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 85.90 + + 85.90 + + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 85.90 + + 85.90 + + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 85.90 + + 85.90 + + + + 392348 + 392289 + NYC Transit + Subway Wait Assessment - J Z Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 85.90 + + 85.90 + + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 75.10 + + 75.10 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 75.50 + + 75.50 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 75.80 + + 75.80 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 76.30 + + 76.30 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 76.60 + + 76.60 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 76.60 + + 76.60 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 77.10 + + 77.10 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 77.70 + + 77.70 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 78.00 + + 78.00 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 77.70 + + 77.70 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 78.40 + + 78.40 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 77.80 + + 77.80 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 77.80 + 77.90 + 77.80 + 77.90 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 77.80 + 77.30 + 77.80 + 77.30 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 77.80 + 76.90 + 77.80 + 76.90 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 77.80 + 76.80 + 77.80 + 76.80 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 77.80 + 76.60 + 77.80 + 76.60 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 77.80 + 76.40 + 77.80 + 76.40 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 77.80 + 76.50 + 77.80 + 76.50 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 77.80 + 76.30 + 77.80 + 76.30 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 77.80 + 75.80 + 77.80 + 75.80 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 77.80 + 75.80 + 77.80 + 75.80 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 77.10 + 77.00 + 77.10 + 77.00 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 77.10 + 77.60 + 77.10 + 77.60 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 77.10 + 78.80 + 77.10 + 78.80 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 77.10 + 79.10 + 77.10 + 79.10 + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 77.10 + + 77.10 + + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 77.10 + + 77.10 + + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 77.10 + + 77.10 + + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 77.10 + + 77.10 + + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 77.10 + + 77.10 + + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 77.10 + + 77.10 + + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 77.10 + + 77.10 + + + + 392351 + 392289 + NYC Transit + Subway Wait Assessment - L Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 77.10 + + 77.10 + + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 85.20 + + 85.20 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 85.70 + + 85.70 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 85.70 + + 85.70 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 85.80 + + 85.80 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 85.90 + + 85.90 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 86.10 + + 86.10 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 87.10 + + 87.10 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 87.90 + + 87.90 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 87.90 + + 87.90 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 87.20 + + 87.20 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 87.60 + + 87.60 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 87.70 + + 87.70 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 87.70 + 88.00 + 87.70 + 88.00 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 87.70 + 87.80 + 87.70 + 87.80 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 87.70 + 88.00 + 87.70 + 88.00 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 87.70 + 87.50 + 87.70 + 87.50 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 87.70 + 87.30 + 87.70 + 87.30 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 87.70 + 87.80 + 87.70 + 87.80 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 87.70 + 87.30 + 87.70 + 87.30 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 87.70 + 86.60 + 87.70 + 86.60 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 87.70 + 84.80 + 87.70 + 84.80 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 87.70 + 83.10 + 87.70 + 83.10 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 83.30 + 82.30 + 83.30 + 82.30 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 83.30 + 82.10 + 83.30 + 82.10 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 83.30 + 81.40 + 83.30 + 81.40 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 83.30 + 80.90 + 83.30 + 80.90 + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 83.30 + + 83.30 + + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 83.30 + + 83.30 + + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 83.30 + + 83.30 + + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 83.30 + + 83.30 + + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 83.30 + + 83.30 + + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 83.30 + + 83.30 + + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 83.30 + + 83.30 + + + + 392354 + 392289 + NYC Transit + Subway Wait Assessment - M Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 83.30 + + 83.30 + + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 78.80 + + 78.80 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 79.00 + + 79.00 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 79.30 + + 79.30 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 79.40 + + 79.40 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 80.00 + + 80.00 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 80.40 + + 80.40 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 80.60 + + 80.60 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 81.40 + + 81.40 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 82.10 + + 82.10 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 81.80 + + 81.80 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 82.20 + + 82.20 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 82.00 + + 82.00 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 82.00 + 82.20 + 82.00 + 82.20 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 82.00 + 82.40 + 82.00 + 82.40 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 82.00 + 82.60 + 82.00 + 82.60 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 82.00 + 82.70 + 82.00 + 82.70 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 82.00 + 81.90 + 82.00 + 81.90 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 82.00 + 81.40 + 82.00 + 81.40 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 82.00 + 81.20 + 82.00 + 81.20 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 82.00 + 80.40 + 82.00 + 80.40 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 82.00 + 79.30 + 82.00 + 79.30 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 82.00 + 78.80 + 82.00 + 78.80 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 78.70 + 77.50 + 78.70 + 77.50 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 78.70 + 77.00 + 78.70 + 77.00 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 78.70 + 76.30 + 78.70 + 76.30 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 78.70 + 76.10 + 78.70 + 76.10 + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392357 + 392289 + NYC Transit + Subway Wait Assessment - N Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 81.80 + + 81.80 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 82.30 + + 82.30 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 82.20 + + 82.20 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 82.50 + + 82.50 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 83.00 + + 83.00 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 82.80 + + 82.80 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 83.10 + + 83.10 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 83.00 + + 83.00 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 82.90 + + 82.90 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 82.90 + + 82.90 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 83.30 + + 83.30 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 82.80 + + 82.80 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 82.80 + 82.80 + 82.80 + 82.80 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 82.80 + 82.20 + 82.80 + 82.20 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 82.80 + 82.20 + 82.80 + 82.20 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 82.80 + 82.10 + 82.80 + 82.10 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 82.80 + 81.60 + 82.80 + 81.60 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 82.80 + 81.60 + 82.80 + 81.60 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 82.80 + 81.40 + 82.80 + 81.40 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 82.80 + 81.00 + 82.80 + 81.00 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 82.80 + 80.10 + 82.80 + 80.10 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 82.80 + 79.00 + 82.80 + 79.00 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 79.50 + 78.80 + 79.50 + 78.80 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 79.50 + 78.60 + 79.50 + 78.60 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 79.50 + 78.30 + 79.50 + 78.30 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 79.50 + 77.90 + 79.50 + 77.90 + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 79.50 + + 79.50 + + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 79.50 + + 79.50 + + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 79.50 + + 79.50 + + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 79.50 + + 79.50 + + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 79.50 + + 79.50 + + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 79.50 + + 79.50 + + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 79.50 + + 79.50 + + + + 392360 + 392289 + NYC Transit + Subway Wait Assessment - Q Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 79.50 + + 79.50 + + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 75.70 + + 75.70 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 76.10 + + 76.10 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 76.50 + + 76.50 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 76.50 + + 76.50 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 76.70 + + 76.70 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 76.60 + + 76.60 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 76.70 + + 76.70 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 76.70 + + 76.70 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 76.90 + + 76.90 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 77.50 + + 77.50 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 78.10 + + 78.10 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 78.00 + + 78.00 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 78.00 + 78.00 + 78.00 + 78.00 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 78.00 + 77.80 + 78.00 + 77.80 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 78.00 + 77.60 + 78.00 + 77.60 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 78.00 + 77.70 + 78.00 + 77.70 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 78.00 + 77.80 + 78.00 + 77.80 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 78.00 + 78.10 + 78.00 + 78.10 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 78.00 + 78.00 + 78.00 + 78.00 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 78.00 + 78.20 + 78.00 + 78.20 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 78.00 + 78.60 + 78.00 + 78.60 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 78.00 + 78.30 + 78.00 + 78.30 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 78.70 + 78.00 + 78.70 + 78.00 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 78.70 + 78.10 + 78.70 + 78.10 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 78.70 + 78.60 + 78.70 + 78.60 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 78.70 + 78.60 + 78.70 + 78.60 + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392363 + 392289 + NYC Transit + Subway Wait Assessment - R Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 78.70 + + 78.70 + + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 97.90 + + 97.90 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 96.20 + + 96.20 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 96.50 + + 96.50 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 96.70 + + 96.70 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 96.80 + + 96.80 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 96.70 + + 96.70 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 97.00 + + 97.00 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 97.10 + + 97.10 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 97.20 + + 97.20 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 97.00 + + 97.00 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 96.90 + + 96.90 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 97.10 + + 97.10 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + 97.10 + 97.10 + 97.10 + 97.10 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + 97.10 + 97.40 + 97.10 + 97.40 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + 97.10 + 97.40 + 97.10 + 97.40 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + 97.10 + 97.50 + 97.10 + 97.50 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + 97.10 + 97.60 + 97.10 + 97.60 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + 97.10 + 97.80 + 97.10 + 97.80 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + 97.10 + 97.80 + 97.10 + 97.80 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + 97.10 + 97.80 + 97.10 + 97.80 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + 97.10 + 97.90 + 97.10 + 97.90 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + 97.10 + 98.40 + 97.10 + 98.40 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + 98.50 + 98.10 + 98.50 + 98.10 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + 98.50 + 97.90 + 98.50 + 97.90 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + 98.50 + 97.90 + 98.50 + 97.90 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + 98.50 + 97.70 + 98.50 + 97.70 + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + 98.50 + + 98.50 + + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + 98.50 + + 98.50 + + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + 98.50 + + 98.50 + + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + 98.50 + + 98.50 + + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + 98.50 + + 98.50 + + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + 98.50 + + 98.50 + + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + 98.50 + + 98.50 + + + + 392366 + 392289 + NYC Transit + Subway Wait Assessment - S Fkln + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + 98.50 + + 98.50 + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 75.50 + + 75.50 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 76.10 + + 76.10 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 74.90 + + 74.90 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 74.10 + + 74.10 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 73.50 + + 73.50 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 73.70 + + 73.70 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 74.10 + + 74.10 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 74.40 + + 74.40 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 74.40 + + 74.40 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 73.80 + + 73.80 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 73.30 + + 73.30 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 73.60 + + 73.60 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + + 73.60 + + 73.60 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + + 73.20 + + 73.20 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + + 74.00 + + 74.00 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + + 74.40 + + 74.40 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + + 75.00 + + 75.00 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + + 74.90 + + 74.90 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + + + + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + + + + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + + + + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + + + + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + .00 + .00 + .00 + .00 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + .00 + .00 + .00 + .00 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + .00 + .00 + .00 + .00 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + .00 + .00 + .00 + .00 + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392369 + 392289 + NYC Transit + Subway Wait Assessment - V Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 1 + Service Indicators + M + U + % + 1 + + 81.60 + + 81.60 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 2 + Service Indicators + M + U + % + 1 + + 81.50 + + 81.50 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 3 + Service Indicators + M + U + % + 1 + + 82.10 + + 82.10 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 4 + Service Indicators + M + U + % + 1 + + 82.70 + + 82.70 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 5 + Service Indicators + M + U + % + 1 + + 83.10 + + 83.10 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 6 + Service Indicators + M + U + % + 1 + + 83.30 + + 83.30 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 7 + Service Indicators + M + U + % + 1 + + 83.40 + + 83.40 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 8 + Service Indicators + M + U + % + 1 + + 83.60 + + 83.60 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 9 + Service Indicators + M + U + % + 1 + + 83.70 + + 83.70 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 10 + Service Indicators + M + U + % + 1 + + 83.60 + + 83.60 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 11 + Service Indicators + M + U + % + 1 + + 83.90 + + 83.90 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2009 + 12 + Service Indicators + M + U + % + 1 + + 84.00 + + 84.00 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 1 + Service Indicators + M + U + % + 1 + + 84.30 + + 84.30 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 2 + Service Indicators + M + U + % + 1 + + 84.40 + + 84.40 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 3 + Service Indicators + M + U + % + 1 + + 83.90 + + 83.90 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 4 + Service Indicators + M + U + % + 1 + + 83.80 + + 83.80 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 5 + Service Indicators + M + U + % + 1 + + 83.60 + + 83.60 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 6 + Service Indicators + M + U + % + 1 + + 83.70 + + 83.70 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 7 + Service Indicators + M + U + % + 1 + + + + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 8 + Service Indicators + M + U + % + 1 + + + + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 9 + Service Indicators + M + U + % + 1 + + + + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 10 + Service Indicators + M + U + % + 1 + + + + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 11 + Service Indicators + M + U + % + 1 + + + + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2010 + 12 + Service Indicators + M + U + % + 1 + + + + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 1 + Service Indicators + M + U + % + 1 + .00 + .00 + .00 + .00 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 2 + Service Indicators + M + U + % + 1 + .00 + .00 + .00 + .00 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 3 + Service Indicators + M + U + % + 1 + .00 + .00 + .00 + .00 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 4 + Service Indicators + M + U + % + 1 + .00 + .00 + .00 + .00 + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 5 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 6 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 7 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 8 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 9 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 10 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 11 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 392372 + 392289 + NYC Transit + Subway Wait Assessment - W Line + Wait Assessment (WA), which is measured weekdays between 6:00 am - midnight is defined as the percent of actual intervals between trains that are no more than the scheduled interval plus 25%.� The 1 thru 6 line results reflect monthly data for all train trips derived from ATS-A, while the data collected for the 7, 42nd Street Shuttle, BMT and IND divisions is collected based on a sample methodology and reported as a 12 month rolling average. + 2011 + 12 + Service Indicators + M + U + % + 1 + .00 + + .00 + + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2008 + 1 + Service Indicators + M + U + - + 0 + 4,011.00 + 4,157.00 + 4,283.00 + 4,157.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2008 + 2 + Service Indicators + M + U + - + 0 + 4,011.00 + 4,037.00 + 4,122.00 + 3,912.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2008 + 3 + Service Indicators + M + U + - + 0 + 4,011.00 + 4,172.00 + 4,251.00 + 4,461.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2008 + 4 + Service Indicators + M + U + - + 0 + 4,011.00 + 4,174.00 + 4,348.00 + 4,183.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2008 + 5 + Service Indicators + M + U + - + 0 + 4,011.00 + 4,143.00 + 3,999.00 + 4,024.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2008 + 6 + Service Indicators + M + U + - + 0 + 4,011.00 + 3,952.00 + 3,657.00 + 3,203.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2008 + 7 + Service Indicators + M + U + - + 0 + 4,011.00 + 3,892.00 + 3,673.00 + 3,570.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2008 + 8 + Service Indicators + M + U + - + 0 + 4,011.00 + 3,898.00 + 3,550.00 + 3,940.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2008 + 9 + Service Indicators + M + U + - + 0 + 4,011.00 + 3,868.00 + 3,909.00 + 3,644.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2008 + 10 + Service Indicators + M + U + - + 0 + 4,011.00 + 3,894.00 + 3,957.00 + 4,129.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2008 + 11 + Service Indicators + M + U + - + 0 + 4,011.00 + 3,953.00 + 4,263.00 + 4,310.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2008 + 12 + Service Indicators + M + U + - + 0 + 4,011.00 + 3,933.00 + 4,417.00 + 4,000.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2009 + 1 + Service Indicators + M + U + - + 0 + 3,957.00 + 3,951.00 + 4,020.00 + 3,951.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2009 + 2 + Service Indicators + M + U + - + 0 + 3,957.00 + 4,073.00 + 3,866.00 + 4,216.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2009 + 3 + Service Indicators + M + U + - + 0 + 3,957.00 + 4,185.00 + 4,164.00 + 4,411.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2009 + 4 + Service Indicators + M + U + - + 0 + 3,957.00 + 4,146.00 + 4,102.00 + 4,036.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2009 + 5 + Service Indicators + M + U + - + 0 + 3,957.00 + 4,031.00 + 4,016.00 + 3,629.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2009 + 6 + Service Indicators + M + U + - + 0 + 3,957.00 + 3,902.00 + 3,589.00 + 3,366.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2009 + 7 + Service Indicators + M + U + - + 0 + 3,957.00 + 3,841.00 + 3,735.00 + 3,507.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2009 + 8 + Service Indicators + M + U + - + 0 + 3,957.00 + 3,791.00 + 4,005.00 + 3,476.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2009 + 9 + Service Indicators + M + U + - + 0 + 3,957.00 + 3,828.00 + 3,828.00 + 4,154.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2009 + 10 + Service Indicators + M + U + - + 0 + 3,945.00 + 3,866.00 + 4,187.00 + 4,221.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2009 + 11 + Service Indicators + M + U + - + 0 + 3,954.00 + 3,924.00 + 4,044.00 + 4,647.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2009 + 12 + Service Indicators + M + U + - + 0 + 3,957.00 + 3,921.00 + 3,996.00 + 3,891.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2010 + 1 + Service Indicators + M + U + - + 0 + 4,051.00 + 4,348.00 + 4,051.00 + 4,348.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2010 + 2 + Service Indicators + M + U + - + 0 + 4,102.00 + 4,293.00 + 4,160.00 + 4,234.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2010 + 3 + Service Indicators + M + U + - + 0 + 4,143.00 + 4,178.00 + 4,222.00 + 3,982.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2010 + 4 + Service Indicators + M + U + - + 0 + 4,113.00 + 4,134.00 + 4,025.00 + 4,006.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2010 + 5 + Service Indicators + M + U + - + 0 + 4,013.00 + 4,030.00 + 3,658.00 + 3,661.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2010 + 6 + Service Indicators + M + U + - + 0 + 3,895.00 + 3,915.00 + 3,399.00 + 3,419.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2010 + 7 + Service Indicators + M + U + - + 0 + 3,850.00 + 3,760.00 + 3,602.00 + 3,012.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2010 + 8 + Service Indicators + M + U + - + 0 + 3,818.00 + 3,714.00 + 3,605.00 + 3,410.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2010 + 9 + Service Indicators + M + U + - + 0 + 3,861.00 + 3,696.00 + 4,249.00 + 3,554.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2010 + 10 + Service Indicators + M + U + - + 0 + 3,906.00 + 3,693.00 + 4,340.00 + 3,774.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2010 + 11 + Service Indicators + M + U + - + 0 + 3,966.00 + 3,708.00 + 4,728.00 + 3,723.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2010 + 12 + Service Indicators + M + U + - + 0 + 3,964.00 + 3,678.00 + 3,942.00 + 3,345.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2011 + 1 + Service Indicators + M + U + - + 0 + 3,984.00 + 3,421.00 + 3,984.00 + 3,421.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2011 + 2 + Service Indicators + M + U + - + 0 + 4,065.00 + 3,431.00 + 4,157.00 + 3,442.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2011 + 3 + Service Indicators + M + U + - + 0 + 4,113.00 + 3,445.00 + 4,207.00 + 3,471.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2011 + 4 + Service Indicators + M + U + - + 0 + 4,088.00 + 3,514.00 + 4,017.00 + 3,733.00 + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2011 + 5 + Service Indicators + M + U + - + 0 + 3,991.00 + + 3,642.00 + + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2011 + 6 + Service Indicators + M + U + - + 0 + 3,871.00 + + 3,370.00 + + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2011 + 7 + Service Indicators + M + U + - + 0 + 3,821.00 + + 3,552.00 + + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2011 + 8 + Service Indicators + M + U + - + 0 + 3,786.00 + + 3,552.00 + + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2011 + 9 + Service Indicators + M + U + - + 0 + 3,833.00 + + 4,267.00 + + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2011 + 10 + Service Indicators + M + U + - + 0 + 3,884.00 + + 4,378.00 + + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2011 + 11 + Service Indicators + M + U + - + 0 + 3,933.00 + + 4,531.00 + + + + 166687 + 166587 + NYC Transit + Mean Distance Between Failures - NYCT Bus + Average number of miles a bus travels between mechanical failures + 2011 + 12 + Service Indicators + M + U + - + 0 + 3,950.00 + + 4,157.00 + + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 1 + Service Indicators + M + U + - + 0 + + 539,952.00 + + 539,952.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 2 + Service Indicators + M + U + - + 0 + + 1,053,614.00 + + 513,662.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 3 + Service Indicators + M + U + - + 0 + + 1,631,917.00 + + 578,303.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 4 + Service Indicators + M + U + - + 0 + + 2,222,158.00 + + 590,241.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 5 + Service Indicators + M + U + - + 0 + + 2,828,158.00 + + 606,000.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 6 + Service Indicators + M + U + - + 0 + + 3,439,782.00 + + 611,624.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 7 + Service Indicators + M + U + - + 0 + + 4,062,847.00 + + 623,065.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 8 + Service Indicators + M + U + - + 0 + + 4,683,472.00 + + 620,625.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 9 + Service Indicators + M + U + - + 0 + + 5,313,138.00 + + 629,666.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 10 + Service Indicators + M + U + - + 0 + + 5,992,248.00 + + 679,110.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 11 + Service Indicators + M + U + - + 0 + + 6,613,891.00 + + 621,643.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 12 + Service Indicators + M + U + - + 0 + + 7,243,550.00 + + 629,659.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 1 + Service Indicators + M + U + - + 0 + + 606,882.00 + + 606,882.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 2 + Service Indicators + M + U + - + 0 + + 1,228,768.00 + + 621,886.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 3 + Service Indicators + M + U + - + 0 + + 1,940,010.00 + + 711,242.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 4 + Service Indicators + M + U + - + 0 + + 2,649,197.00 + + 709,187.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 5 + Service Indicators + M + U + - + 0 + + 3,369,516.00 + + 720,319.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 6 + Service Indicators + M + U + - + 0 + + 4,109,025.00 + + 739,509.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 7 + Service Indicators + M + U + - + 0 + + 4,835,952.00 + + 726,927.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 8 + Service Indicators + M + U + - + 0 + + 5,548,960.00 + + 713,008.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 9 + Service Indicators + M + U + - + 0 + + 6,285,790.00 + + 736,830.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 10 + Service Indicators + M + U + - + 0 + + 7,055,585.00 + + 769,795.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 11 + Service Indicators + M + U + - + 0 + + 7,769,875.00 + + 714,290.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 12 + Service Indicators + M + U + - + 0 + + 8,490,247.00 + + 720,372.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 1 + Service Indicators + M + U + - + 0 + + 710,075.00 + + 710,075.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 2 + Service Indicators + M + U + - + 0 + + 1,320,731.00 + + 610,656.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 3 + Service Indicators + M + U + - + 0 + + 2,129,035.00 + + 808,304.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 4 + Service Indicators + M + U + - + 0 + + 2,910,537.00 + + 781,502.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 5 + Service Indicators + M + U + - + 0 + + 3,688,640.00 + + 778,103.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 6 + Service Indicators + M + U + - + 0 + + 4,491,915.00 + + 803,275.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 7 + Service Indicators + M + U + - + 0 + + 5,242,791.00 + + 750,876.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 8 + Service Indicators + M + U + - + 0 + + 6,016,056.00 + + 773,265.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 9 + Service Indicators + M + U + - + 0 + + 6,775,219.00 + + 759,163.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 10 + Service Indicators + M + U + - + 0 + + 7,583,503.00 + + 808,284.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 11 + Service Indicators + M + U + - + 0 + + 8,330,947.00 + + 747,444.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 12 + Service Indicators + M + U + - + 0 + + 61,155,745.00 + + 52,824,798.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 1 + Service Indicators + M + U + - + 0 + + 615,733.00 + + 615,733.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 2 + Service Indicators + M + U + - + 0 + + 1,280,275.00 + + 664,542.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 3 + Service Indicators + M + U + - + 0 + + 2,114,343.00 + + 834,068.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 4 + Service Indicators + M + U + - + 0 + + 2,876,806.00 + + 762,463.00 + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 5 + Service Indicators + M + U + - + 0 + + + + + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 6 + Service Indicators + M + U + - + 0 + + + + + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 7 + Service Indicators + M + U + - + 0 + + + + + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 8 + Service Indicators + M + U + - + 0 + + + + + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 9 + Service Indicators + M + U + - + 0 + + + + + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 10 + Service Indicators + M + U + - + 0 + + + + + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 11 + Service Indicators + M + U + - + 0 + + + + + + + 166716 + 166616 + NYC Transit + Total Paratransit Ridership - NYCT Bus + The number of boardings (passengers) carried by the paratransit service. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 12 + Service Indicators + M + U + - + 0 + + + + + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 1 + Safety Indicators + M + D + - + 2 + + 1.41 + + 1.41 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 2 + Safety Indicators + M + D + - + 2 + + 1.26 + + 1.09 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 3 + Safety Indicators + M + D + - + 2 + + 1.34 + + 1.48 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 4 + Safety Indicators + M + D + - + 2 + + 1.36 + + 1.41 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 5 + Safety Indicators + M + D + - + 2 + + 1.39 + + 1.52 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 6 + Safety Indicators + M + D + - + 2 + + 1.42 + + 1.57 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 7 + Safety Indicators + M + D + - + 2 + + 1.46 + + 1.70 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 8 + Safety Indicators + M + D + - + 2 + + 1.46 + + 1.37 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 9 + Safety Indicators + M + D + - + 2 + + 1.42 + + 1.09 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 10 + Safety Indicators + M + D + - + 2 + + 1.45 + + 1.63 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 11 + Safety Indicators + M + D + - + 2 + + 1.02 + + 1.01 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2008 + 12 + Safety Indicators + M + D + - + 2 + + 1.02 + + .95 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 1.01 + .65 + 1.01 + .65 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 1.01 + .82 + 1.01 + .98 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 1.01 + .86 + 1.01 + .95 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 1.01 + .92 + 1.01 + 1.09 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 1.01 + .94 + 1.01 + 1.01 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 1.01 + 1.00 + 1.01 + 1.30 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 1.01 + 1.00 + 1.01 + 1.30 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 1.01 + 1.07 + 1.01 + 1.29 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 1.01 + 1.06 + 1.01 + 1.00 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 1.01 + 1.10 + 1.01 + 1.44 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 1.01 + 1.10 + 1.01 + 1.08 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 1.01 + 1.09 + 1.01 + 1.05 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 1.06 + .90 + 1.06 + .90 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 1.06 + .90 + 1.06 + .90 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 1.06 + .89 + 1.06 + .86 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 1.06 + .91 + 1.06 + .99 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 1.06 + .95 + 1.06 + 1.08 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 1.06 + .99 + 1.06 + 1.20 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 1.06 + .99 + 1.06 + 1.01 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 1.06 + 1.03 + 1.06 + 1.33 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 1.06 + 1.04 + 1.06 + 1.07 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 1.06 + 1.03 + 1.06 + .98 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 1.06 + 1.02 + 1.06 + .93 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 1.06 + 1.00 + 1.06 + .74 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 1 + Safety Indicators + M + D + - + 2 + .97 + .95 + .97 + .95 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 2 + Safety Indicators + M + D + - + 2 + .97 + .90 + .97 + .86 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 3 + Safety Indicators + M + D + - + 2 + .97 + 1.04 + .97 + 1.33 + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 4 + Safety Indicators + M + D + - + 2 + .97 + + .97 + + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 5 + Safety Indicators + M + D + - + 2 + .97 + + .97 + + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 6 + Safety Indicators + M + D + - + 2 + .97 + + .97 + + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 7 + Safety Indicators + M + D + - + 2 + .97 + + .97 + + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 8 + Safety Indicators + M + D + - + 2 + .97 + + .97 + + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 9 + Safety Indicators + M + D + - + 2 + .97 + + .97 + + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 10 + Safety Indicators + M + D + - + 2 + .97 + + .97 + + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 11 + Safety Indicators + M + D + - + 2 + .97 + + .97 + + + + 166724 + 166624 + NYC Transit + Customer Accident Injury Rate - NYCT Bus + An injury resulting from an incident on the bus system that occurred while the person was boarding the bus, onboard the bus, or alighting from the bus. Assaults are not included. The rate is the number of injuries per million customers. In 2009, the methodology was revised to ensure consistency in the data across the bus companies. + 2011 + 12 + Safety Indicators + M + D + - + 2 + .97 + + .97 + + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 1 + Service Indicators + M + U + - + 0 + 747,557,000.00 + 60,889,506.00 + 59,409,000.00 + 60,889,506.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 2 + Service Indicators + M + U + - + 0 + 747,557,000.00 + 118,521,467.00 + 59,409,000.00 + 57,631,961.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 3 + Service Indicators + M + U + - + 0 + 747,557,000.00 + 182,669,281.00 + 59,409,000.00 + 64,147,814.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 4 + Service Indicators + M + U + - + 0 + 747,557,000.00 + 246,371,128.00 + 59,409,000.00 + 63,701,847.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 5 + Service Indicators + M + U + - + 0 + 747,557,000.00 + 311,953,491.00 + 59,409,000.00 + 65,582,363.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 6 + Service Indicators + M + U + - + 0 + 747,557,000.00 + 374,562,751.00 + 59,409,000.00 + 62,609,260.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 7 + Service Indicators + M + U + - + 0 + 747,557,000.00 + 436,440,938.00 + 59,409,000.00 + 61,878,187.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 8 + Service Indicators + M + U + - + 0 + 747,557,000.00 + 494,906,556.00 + 59,409,000.00 + 58,465,618.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 9 + Service Indicators + M + U + - + 0 + 747,557,000.00 + 559,862,556.00 + 59,409,000.00 + 64,956,000.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 10 + Service Indicators + M + U + - + 0 + 747,557,000.00 + 627,252,556.00 + 59,409,000.00 + 67,390,000.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 11 + Service Indicators + M + U + - + 0 + 747,557,000.00 + 686,465,556.00 + 59,409,000.00 + 59,213,000.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2008 + 12 + Service Indicators + M + U + - + 0 + 747,557,000.00 + 746,813,556.00 + 59,409,000.00 + 60,348,000.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 1 + Service Indicators + M + U + - + 0 + 58,733,000.00 + 58,200,405.00 + 58,733,000.00 + 58,200,405.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 2 + Service Indicators + M + U + - + 0 + 114,540,000.00 + 115,159,444.00 + 55,807,000.00 + 56,959,039.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 3 + Service Indicators + M + U + - + 0 + 180,359,000.00 + 180,733,981.00 + 65,819,000.00 + 65,574,537.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 4 + Service Indicators + M + U + - + 0 + 242,528,000.00 + 242,917,170.00 + 62,169,000.00 + 62,183,189.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 5 + Service Indicators + M + U + - + 0 + 306,520,000.00 + 306,631,357.00 + 63,992,000.00 + 63,714,187.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 6 + Service Indicators + M + U + - + 0 + 367,251,000.00 + 368,101,538.00 + 60,731,000.00 + 61,470,181.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 7 + Service Indicators + M + U + - + 0 + 425,043,000.00 + 426,723,404.00 + 57,792,000.00 + 58,621,866.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 8 + Service Indicators + M + U + - + 0 + 480,087,000.00 + 482,536,964.00 + 55,044,000.00 + 55,813,560.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 9 + Service Indicators + M + U + - + 0 + 540,382,000.00 + 543,814,037.00 + 60,295,000.00 + 61,277,073.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 10 + Service Indicators + M + U + - + 0 + 605,388,000.00 + 609,001,921.00 + 65,006,000.00 + 65,187,884.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 11 + Service Indicators + M + U + - + 0 + 663,678,000.00 + 668,502,643.00 + 58,290,000.00 + 59,500,722.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2009 + 12 + Service Indicators + M + U + - + 0 + 722,110,000.00 + 726,471,592.00 + 58,432,000.00 + 57,968,949.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 1 + Service Indicators + M + U + - + 0 + 56,842,000.00 + 55,536,876.00 + 56,842,000.00 + 55,536,876.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 2 + Service Indicators + M + U + - + 0 + 111,254,000.00 + 106,504,136.00 + 54,412,000.00 + 50,967,260.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 3 + Service Indicators + M + U + - + 0 + 175,104,000.00 + 170,238,558.00 + 63,850,000.00 + 63,734,422.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 4 + Service Indicators + M + U + - + 0 + 236,895,000.00 + 232,009,188.00 + 61,791,000.00 + 61,770,630.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 5 + Service Indicators + M + U + - + 0 + 299,744,000.00 + 293,948,494.00 + 62,849,000.00 + 61,939,306.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 6 + Service Indicators + M + U + - + 0 + 361,111,000.00 + 354,045,348.00 + 61,367,000.00 + 60,096,854.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 7 + Service Indicators + M + U + - + 0 + 418,929,000.00 + 410,333,849.00 + 57,818,000.00 + 56,288,501.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 8 + Service Indicators + M + U + - + 0 + 475,508,000.00 + 465,222,067.00 + 56,579,000.00 + 54,888,218.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 9 + Service Indicators + M + U + - + 0 + 536,382,000.00 + 524,071,813.00 + 60,874,000.00 + 58,849,746.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 10 + Service Indicators + M + U + - + 0 + 599,884,000.00 + 586,024,929.00 + 63,502,000.00 + 61,953,116.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 11 + Service Indicators + M + U + - + 0 + 659,952,000.00 + 644,086,150.00 + 60,068,000.00 + 58,061,221.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2010 + 12 + Service Indicators + M + U + - + 0 + 718,284,000.00 + 694,829,261.00 + 58,332,000.00 + 50,743,111.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 1 + Service Indicators + M + U + - + 0 + 58,896,000.00 + 50,743,111.00 + 55,896,000.00 + 50,743,111.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 2 + Service Indicators + M + U + - + 0 + 108,339,000.00 + 100,959,683.00 + 52,443,000.00 + 50,216,572.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 3 + Service Indicators + M + U + - + 0 + 171,554,000.00 + 162,694,964.00 + 63,215,000.00 + 61,735,281.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 4 + Service Indicators + M + U + - + 0 + 229,410,000.00 + 218,307,736.00 + 57,856,000.00 + 55,612,772.00 + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 5 + Service Indicators + M + U + - + 0 + 291,404,000.00 + + 61,994,000.00 + + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 6 + Service Indicators + M + U + - + 0 + 351,010,000.00 + + 59,606,000.00 + + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 7 + Service Indicators + M + U + - + 0 + 406,313,000.00 + + 55,303,000.00 + + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 8 + Service Indicators + M + U + - + 0 + 462,355,000.00 + + 56,042,000.00 + + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 9 + Service Indicators + M + U + - + 0 + 523,106,000.00 + + 60,751,000.00 + + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 10 + Service Indicators + M + U + - + 0 + 584,595,000.00 + + 61,489,000.00 + + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 11 + Service Indicators + M + U + - + 0 + 642,869,000.00 + + 58,274,000.00 + + + + 204043 + 203943 + NYC Transit + Total Ridership - NYCT Bus + The number of passengers from whom the agency receives a fare, either through direct fare payment (cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children). Passengers who use free transfers from train-to-bus, bus-to-train, or bus-to-bus are counted as additional passengers even though they are not paying additional fares. Paratransit riders are not included. Ridership data is preliminary and subject to revision as well as adjustments warranted by annual audit review. + 2011 + 12 + Service Indicators + M + U + - + 0 + 698,684,000.00 + + 55,815,000.00 + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 1 + Safety Indicators + M + D + - + 2 + + + + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 2 + Safety Indicators + M + D + - + 2 + + + + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 3 + Safety Indicators + M + D + - + 2 + + + + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 4 + Safety Indicators + M + D + - + 2 + + + + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 5 + Safety Indicators + M + D + - + 2 + + + + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 6 + Safety Indicators + M + D + - + 2 + + + + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 7 + Safety Indicators + M + D + - + 2 + + + + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 8 + Safety Indicators + M + D + - + 2 + + + + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 9 + Safety Indicators + M + D + - + 2 + + + + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 10 + Safety Indicators + M + D + - + 2 + + + + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 11 + Safety Indicators + M + D + - + 2 + + + + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2008 + 12 + Safety Indicators + M + D + - + 2 + + 5.88 + + 8.88 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 5.76 + 8.44 + 5.76 + 8.44 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 5.76 + 7.05 + 5.76 + 5.53 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 5.76 + 6.34 + 5.76 + 5.02 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 5.76 + 5.58 + 5.76 + 3.32 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 5.76 + 5.27 + 5.76 + 4.04 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 5.76 + 5.61 + 5.76 + 7.29 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 5.76 + 5.61 + 5.76 + 7.29 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 5.76 + 6.12 + 5.76 + 7.37 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 5.76 + 5.90 + 5.76 + 4.08 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 5.76 + 6.05 + 5.76 + 7.31 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 5.76 + 6.04 + 5.76 + 6.02 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 5.76 + 6.09 + 5.76 + 6.59 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 5.91 + 4.86 + 5.91 + 4.86 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 5.91 + 4.96 + 5.91 + 5.07 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 5.91 + 4.83 + 5.91 + 4.60 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 5.91 + 5.60 + 5.91 + 7.87 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 5.91 + 5.98 + 5.91 + 7.52 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 5.91 + 6.71 + 5.91 + 10.42 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 5.91 + 6.96 + 5.91 + 8.50 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 5.91 + 7.38 + 5.91 + 10.40 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 5.91 + 7.40 + 5.91 + 7.64 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 5.91 + 7.51 + 5.91 + 8.44 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 5.91 + 7.54 + 5.91 + 7.88 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 5.91 + 7.64 + 5.91 + 8.88 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 1 + Safety Indicators + M + D + - + 2 + 7.41 + 4.03 + 7.41 + 4.03 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 2 + Safety Indicators + M + D + - + 2 + 7.41 + 4.04 + 7.41 + 4.06 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 3 + Safety Indicators + M + D + - + 2 + 7.41 + 7.45 + 7.41 + 4.41 + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 4 + Safety Indicators + M + D + - + 2 + 7.41 + + 7.41 + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 5 + Safety Indicators + M + D + - + 2 + 7.41 + + 7.41 + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 6 + Safety Indicators + M + D + - + 2 + 7.41 + + 7.41 + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 7 + Safety Indicators + M + D + - + 2 + 7.41 + + 7.41 + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 8 + Safety Indicators + M + D + - + 2 + 7.41 + + 7.41 + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 9 + Safety Indicators + M + D + - + 2 + 7.41 + + 7.41 + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 10 + Safety Indicators + M + D + - + 2 + 7.41 + + 7.41 + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 11 + Safety Indicators + M + D + - + 2 + 7.41 + + 7.41 + + + + 304491 + 304490 + NYC Transit + Collisions with Injury Rate - NYCT Bus + An injury resulting from a collision between a bus and another vehicle, an object, a person, or an animal. Includes people injured in other vehicles. The rate is the number of collisions with injuries per million miles. In 2009, the methodology was revised to ensure consistency of data across the bus companies. + 2011 + 12 + Safety Indicators + M + D + - + 2 + 7.41 + + 7.41 + + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2008 + 1 + Service Indicators + M + U + % + 2 + 99.30 + 99.37 + 99.30 + 99.37 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2008 + 2 + Service Indicators + M + U + % + 2 + 99.30 + 99.20 + 99.30 + 99.03 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2008 + 3 + Service Indicators + M + U + % + 2 + 99.30 + 99.24 + 99.30 + 99.31 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2008 + 4 + Service Indicators + M + U + % + 2 + 99.30 + 99.27 + 99.30 + 99.31 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2008 + 5 + Service Indicators + M + U + % + 2 + 99.30 + 99.26 + 99.30 + 99.20 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2008 + 6 + Service Indicators + M + U + % + 2 + 99.30 + 99.24 + 99.30 + 99.15 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2008 + 7 + Service Indicators + M + U + % + 2 + 99.30 + 99.26 + 99.30 + 99.38 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2008 + 8 + Service Indicators + M + U + % + 2 + 99.30 + 99.28 + 99.30 + 99.40 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2008 + 9 + Service Indicators + M + U + % + 2 + 99.30 + 99.29 + 99.30 + 99.38 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2008 + 10 + Service Indicators + M + U + % + 2 + 99.30 + 99.31 + 99.30 + 99.45 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2008 + 11 + Service Indicators + M + U + % + 2 + 99.30 + 99.32 + 99.30 + 99.42 + + + 374903 + + NYC Transit + % of Completed Trips - 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NYCT Bus + The percent of total scheduled bus trips completed + 2009 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.06 + 99.40 + 98.71 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2009 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.05 + 99.40 + 99.01 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2009 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.05 + 99.40 + 99.03 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2009 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.07 + 99.40 + 99.23 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2009 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.09 + 99.40 + 99.29 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2009 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.11 + 99.40 + 99.33 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2009 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 99.11 + 99.40 + 99.01 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2010 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.30 + 99.40 + 99.30 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2010 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 98.80 + 99.40 + 98.25 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2010 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 98.74 + 99.40 + 98.62 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2010 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 98.55 + 99.40 + 97.99 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2010 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 98.18 + 99.40 + 96.71 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2010 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 97.84 + 99.40 + 96.12 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2010 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 97.92 + 99.40 + 98.45 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2010 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 97.83 + 99.40 + 98.86 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2010 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 98.55 + 99.40 + 99.13 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2010 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 98.58 + 99.40 + 98.80 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2010 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 98.60 + 99.40 + 98.83 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2010 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 98.12 + 99.40 + 97.12 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2011 + 1 + Service Indicators + M + U + % + 2 + 99.36 + 97.67 + 99.36 + 97.67 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2011 + 2 + Service Indicators + M + U + % + 2 + 99.36 + 97.76 + 99.36 + 97.86 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2011 + 3 + Service Indicators + M + U + % + 2 + 99.36 + 97.86 + 99.36 + 98.04 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2011 + 4 + Service Indicators + M + U + % + 2 + 99.36 + 97.96 + 99.36 + 98.27 + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2011 + 5 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2011 + 6 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2011 + 7 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2011 + 8 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2011 + 9 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2011 + 10 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2011 + 11 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374903 + + NYC Transit + % of Completed Trips - NYCT Bus + The percent of total scheduled bus trips completed + 2011 + 12 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.48 + 99.40 + 99.48 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.48 + 99.40 + 99.48 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.50 + 99.40 + 99.55 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.53 + 99.40 + 99.63 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.54 + 99.40 + 99.55 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.55 + 99.40 + 99.62 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.56 + 99.40 + 99.62 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.57 + 99.40 + 99.64 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.57 + 99.40 + 99.57 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.58 + 99.40 + 99.63 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.58 + 99.40 + 99.60 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 99.58 + 99.40 + 99.63 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.57 + 99.40 + 99.57 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.57 + 99.40 + 99.58 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.56 + 99.40 + 99.53 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.56 + 99.40 + 99.55 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.51 + 99.40 + 99.33 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.47 + 99.40 + 99.24 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.45 + 99.40 + 99.38 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.46 + 99.40 + 99.51 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.45 + 99.40 + 99.39 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.45 + 99.40 + 99.47 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.45 + 99.40 + 99.40 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 99.42 + 99.40 + 99.13 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.45 + 99.40 + 99.45 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.01 + 99.40 + 98.52 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 98.92 + 99.40 + 98.77 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 98.67 + 99.40 + 97.90 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 98.35 + 99.40 + 97.07 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 98.07 + 99.40 + 96.69 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 98.22 + 99.40 + 99.15 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 98.35 + 99.40 + 99.20 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 98.88 + 99.40 + 99.61 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 98.93 + 99.40 + 99.33 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 98.97 + 99.40 + 99.39 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 98.59 + 99.40 + 98.18 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 1 + Service Indicators + M + U + % + 2 + 99.36 + 98.26 + 99.36 + 98.26 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 2 + Service Indicators + M + U + % + 2 + 99.36 + 98.28 + 99.36 + 98.30 + + + 374907 + 374903 + NYC Transit + East New York Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 3 + Service Indicators + M + U + % + 2 + 99.36 + 98.39 + 99.36 + 98.59 + + + 374907 + 374903 + NYC Transit + East New York Depot - 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% of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 98.95 + 99.40 + 98.66 + + + 374922 + 374903 + NYC Transit + Gun Hill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 98.86 + 99.40 + 98.50 + + + 374922 + 374903 + NYC Transit + Gun Hill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 98.79 + 99.40 + 98.44 + + + 374922 + 374903 + NYC Transit + Gun Hill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 98.78 + 99.40 + 98.72 + + + 374922 + 374903 + NYC Transit + Gun Hill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 98.76 + 99.40 + 98.61 + + + 374922 + 374903 + NYC Transit + Gun Hill Depot - 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% of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 5 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374922 + 374903 + NYC Transit + Gun Hill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 6 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374922 + 374903 + NYC Transit + Gun Hill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 7 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374922 + 374903 + NYC Transit + Gun Hill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 8 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374922 + 374903 + NYC Transit + Gun Hill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 9 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374922 + 374903 + NYC Transit + Gun Hill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 10 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374922 + 374903 + NYC Transit + Gun Hill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 11 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374922 + 374903 + NYC Transit + Gun Hill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 12 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.58 + 99.40 + 99.58 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.46 + 99.40 + 99.32 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.45 + 99.40 + 99.45 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.48 + 99.40 + 99.56 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.50 + 99.40 + 99.56 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.45 + 99.40 + 99.24 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.45 + 99.40 + 99.43 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.46 + 99.40 + 99.49 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.46 + 99.40 + 99.47 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.46 + 99.40 + 99.51 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.47 + 99.40 + 99.52 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 99.47 + 99.40 + 99.48 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.39 + 99.40 + 99.39 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.36 + 99.40 + 99.33 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.35 + 99.40 + 99.32 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.37 + 99.40 + 99.44 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.33 + 99.40 + 99.16 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.30 + 99.40 + 99.15 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.29 + 99.40 + 99.21 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.29 + 99.40 + 99.32 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.29 + 99.40 + 99.27 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.29 + 99.40 + 99.33 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.30 + 99.40 + 99.41 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 99.28 + 99.40 + 99.08 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.39 + 99.40 + 99.39 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.24 + 99.40 + 99.08 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 98.95 + 99.40 + 98.41 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 98.73 + 99.40 + 98.05 + + + 374923 + 374903 + NYC Transit + Michael J. 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Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 1 + Service Indicators + M + U + % + 2 + 99.36 + 97.36 + 99.36 + 97.36 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 2 + Service Indicators + M + U + % + 2 + 99.36 + 97.64 + 99.36 + 97.95 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 3 + Service Indicators + M + U + % + 2 + 99.36 + 97.81 + 99.36 + 98.12 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 4 + Service Indicators + M + U + % + 2 + 99.36 + 97.93 + 99.36 + 98.31 + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 5 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 6 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 7 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 8 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 9 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 10 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 11 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374923 + 374903 + NYC Transit + Michael J. Quill Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 12 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2008 + 1 + Service Indicators + M + U + % + 2 + + + + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2008 + 2 + Service Indicators + M + U + % + 2 + + + + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2008 + 3 + Service Indicators + M + U + % + 2 + + + + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2008 + 4 + Service Indicators + M + U + % + 2 + + + + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2008 + 5 + Service Indicators + M + U + % + 2 + + + + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2008 + 6 + Service Indicators + M + U + % + 2 + + + + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2008 + 7 + Service Indicators + M + U + % + 2 + + + + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2008 + 8 + Service Indicators + M + U + % + 2 + + + + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2008 + 9 + Service Indicators + M + U + % + 2 + + + + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2008 + 10 + Service Indicators + M + U + % + 2 + + + + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2008 + 11 + Service Indicators + M + U + % + 2 + + + + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2008 + 12 + Service Indicators + M + U + % + 2 + + + + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2009 + 1 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2009 + 2 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2009 + 3 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2009 + 4 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2009 + 5 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2009 + 6 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2009 + 7 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2009 + 8 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2009 + 9 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2009 + 10 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2009 + 11 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2009 + 12 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2010 + 1 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2010 + 2 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2010 + 3 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2010 + 4 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2010 + 5 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2010 + 6 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2010 + 7 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2010 + 8 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2010 + 9 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2010 + 10 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2010 + 11 + Service Indicators + M + U + % + 2 + 99.40 + .00 + 99.40 + .00 + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2010 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 94.43 + 99.40 + 94.43 + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2011 + 1 + Service Indicators + M + U + % + 2 + 99.36 + 94.43 + 99.36 + 94.43 + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2011 + 2 + Service Indicators + M + U + % + 2 + 99.36 + 95.37 + 99.36 + 96.17 + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2011 + 3 + Service Indicators + M + U + % + 2 + 99.36 + 96.20 + 99.36 + 97.49 + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2011 + 4 + Service Indicators + M + U + % + 2 + 99.36 + 96.49 + 99.36 + 97.30 + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2011 + 5 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2011 + 6 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2011 + 7 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2011 + 8 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2011 + 9 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2011 + 10 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2011 + 11 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374924 + 374903 + NYC Transit + Charleston Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin in January 2010. + 2011 + 12 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2008 + 1 + Service Indicators + M + U + % + 2 + + + + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2008 + 2 + Service Indicators + M + U + % + 2 + + + + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2008 + 3 + Service Indicators + M + U + % + 2 + + + + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2008 + 4 + Service Indicators + M + U + % + 2 + + + + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2008 + 5 + Service Indicators + M + U + % + 2 + + + + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2008 + 6 + Service Indicators + M + U + % + 2 + + + + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2008 + 7 + Service Indicators + M + U + % + 2 + + + + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2008 + 8 + Service Indicators + M + U + % + 2 + + + + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2008 + 9 + Service Indicators + M + U + % + 2 + + + + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2008 + 10 + Service Indicators + M + U + % + 2 + + + + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2008 + 11 + Service Indicators + M + U + % + 2 + + + + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2008 + 12 + Service Indicators + M + U + % + 2 + + + + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2009 + 1 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2009 + 2 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2009 + 3 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2009 + 4 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2009 + 5 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2009 + 6 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2009 + 7 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2009 + 8 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2009 + 9 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2009 + 10 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2009 + 11 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2009 + 12 + Service Indicators + M + U + % + 2 + 99.40 + + 99.40 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2010 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.10 + 99.40 + 99.10 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2010 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 96.74 + 99.40 + 94.38 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2010 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 97.17 + 99.40 + 97.87 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2010 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 97.46 + 99.40 + 98.32 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2010 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 97.14 + 99.40 + 95.82 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2010 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 97.24 + 99.40 + 97.68 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2010 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 97.25 + 99.40 + 97.36 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2010 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 97.35 + 99.40 + 98.00 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2010 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 98.31 + 99.40 + 98.71 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2010 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 98.31 + 99.40 + 98.31 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2010 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 98.34 + 99.40 + 98.61 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2010 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 97.40 + 99.40 + 94.26 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2011 + 1 + Service Indicators + M + U + % + 2 + 99.36 + 98.17 + 99.36 + 98.17 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2011 + 2 + Service Indicators + M + U + % + 2 + 99.36 + 98.45 + 99.36 + 98.75 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2011 + 3 + Service Indicators + M + U + % + 2 + 99.36 + 98.57 + 99.36 + 98.78 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2011 + 4 + Service Indicators + M + U + % + 2 + 99.36 + 98.61 + 99.36 + 98.72 + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2011 + 5 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2011 + 6 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2011 + 7 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2011 + 8 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2011 + 9 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2011 + 10 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. Service is expected to begin before the end of 2009. + 2011 + 11 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374925 + 374903 + NYC Transit + Meredith Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed. This depot is under construction. 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% of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 99.01 + 99.40 + 98.99 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 99.04 + 99.40 + 99.19 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 99.08 + 99.40 + 99.31 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 99.12 + 99.40 + 99.37 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 99.14 + 99.40 + 99.32 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 99.17 + 99.40 + 99.42 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 99.20 + 99.40 + 99.51 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2008 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 99.22 + 99.40 + 99.39 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 99.28 + 99.40 + 99.28 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 99.24 + 99.40 + 99.19 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 99.16 + 99.40 + 99.02 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 99.18 + 99.40 + 99.22 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 98.92 + 99.40 + 97.90 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 98.70 + 99.40 + 97.56 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 98.71 + 99.40 + 98.82 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 98.73 + 99.40 + 98.87 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 98.79 + 99.40 + 99.24 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 98.80 + 99.40 + 99.06 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 98.82 + 99.40 + 99.04 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2009 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 98.80 + 99.40 + 98.63 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 1 + Service Indicators + M + U + % + 2 + 99.40 + 98.53 + 99.40 + 98.53 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 2 + Service Indicators + M + U + % + 2 + 99.40 + 98.10 + 99.40 + 97.62 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 3 + Service Indicators + M + U + % + 2 + 99.40 + 98.15 + 99.40 + 98.26 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 4 + Service Indicators + M + U + % + 2 + 99.40 + 98.02 + 99.40 + 97.60 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 5 + Service Indicators + M + U + % + 2 + 99.40 + 97.78 + 99.40 + 96.84 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 6 + Service Indicators + M + U + % + 2 + 99.40 + 97.37 + 99.40 + 95.32 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 7 + Service Indicators + M + U + % + 2 + 99.40 + 97.43 + 99.40 + 97.80 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 8 + Service Indicators + M + U + % + 2 + 99.40 + 97.39 + 99.40 + 97.12 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 9 + Service Indicators + M + U + % + 2 + 99.40 + 97.84 + 99.40 + 98.92 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 10 + Service Indicators + M + U + % + 2 + 99.40 + 97.95 + 99.40 + 99.00 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 11 + Service Indicators + M + U + % + 2 + 99.40 + 97.98 + 99.40 + 98.36 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2010 + 12 + Service Indicators + M + U + % + 2 + 99.40 + 97.70 + 99.40 + 97.40 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 1 + Service Indicators + M + U + % + 2 + 99.36 + 97.42 + 99.36 + 97.42 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 2 + Service Indicators + M + U + % + 2 + 99.36 + 97.20 + 99.36 + 96.96 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 3 + Service Indicators + M + U + % + 2 + 99.36 + 97.42 + 99.36 + 97.84 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 4 + Service Indicators + M + U + % + 2 + 99.36 + 97.41 + 99.36 + 97.39 + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 5 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 6 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 7 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 8 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 9 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 10 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 11 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374928 + 374903 + NYC Transit + Grand Avenue Depot - % of Completed Trips + The percent of total scheduled bus trips completed + 2011 + 12 + Service Indicators + M + U + % + 2 + 99.36 + + 99.36 + + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2008 + 1 + Service Indicators + M + N + - + 0 + + 78,259.00 + + 78,259.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2008 + 2 + Service Indicators + M + N + - + 0 + + 147,562.00 + + 69,303.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2008 + 3 + Service Indicators + M + N + - + 0 + + 233,533.00 + + 85,971.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2008 + 4 + Service Indicators + M + N + - + 0 + + 327,234.00 + + 93,701.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2008 + 5 + Service Indicators + M + N + - + 0 + + 424,941.00 + + 97,707.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2008 + 6 + Service Indicators + M + N + - + 0 + + 523,090.00 + + 98,149.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2008 + 7 + Service Indicators + M + N + - + 0 + + 629,088.00 + + 105,998.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2008 + 8 + Service Indicators + M + N + - + 0 + + 744,007.00 + + 114,919.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2008 + 9 + Service Indicators + M + N + - + 0 + + 855,044.00 + + 111,037.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2008 + 10 + Service Indicators + M + N + - + 0 + + 964,773.00 + + 109,729.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2008 + 11 + Service Indicators + M + N + - + 0 + + 1,055,978.00 + + 91,205.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2008 + 12 + Service Indicators + M + N + - + 0 + + 1,149,970.00 + + 93,992.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2009 + 1 + Service Indicators + M + N + - + 0 + + 81,528.00 + + 81,528.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2009 + 2 + Service Indicators + M + N + - + 0 + + 164,751.00 + + 83,223.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2009 + 3 + Service Indicators + M + N + - + 0 + + 259,064.00 + + 94,313.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2009 + 4 + Service Indicators + M + N + - + 0 + + 363,612.00 + + 104,548.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2009 + 5 + Service Indicators + M + N + - + 0 + + 471,213.00 + + 107,601.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2009 + 6 + Service Indicators + M + N + - + 0 + + 576,412.00 + + 105,199.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2009 + 7 + Service Indicators + M + N + - + 0 + + 700,071.00 + + 123,659.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2009 + 8 + Service Indicators + M + N + - + 0 + + 821,093.00 + + 121,022.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2009 + 9 + Service Indicators + M + N + - + 0 + + 940,257.00 + + 119,164.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2009 + 10 + Service Indicators + M + N + - + 0 + + 1,054,316.00 + + 114,059.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2009 + 11 + Service Indicators + M + N + - + 0 + + 1,166,108.00 + + 111,792.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2009 + 12 + Service Indicators + M + N + - + 0 + + 1,258,662.00 + + 92,554.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2010 + 1 + Service Indicators + M + N + - + 0 + + 85,194.00 + + 85,194.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2010 + 2 + Service Indicators + M + N + - + 0 + + 155,098.00 + + 69,904.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2010 + 3 + Service Indicators + M + N + - + 0 + + 252,305.00 + + 97,207.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2010 + 4 + Service Indicators + M + N + - + 0 + + 361,263.00 + + 108,958.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2010 + 5 + Service Indicators + M + N + - + 0 + + 472,731.00 + + 111,468.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2010 + 6 + Service Indicators + M + N + - + 0 + + 592,878.00 + + 120,147.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2010 + 7 + Service Indicators + M + N + - + 0 + + 705,820.00 + + 112,942.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2010 + 8 + Service Indicators + M + N + - + 0 + + 826,429.00 + + 120,609.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2010 + 9 + Service Indicators + M + N + - + 0 + + 941,047.00 + + 114,618.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2010 + 10 + Service Indicators + M + N + - + 0 + + 1,055,421.00 + + 114,374.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2010 + 11 + Service Indicators + M + N + - + 0 + + 1,160,711.00 + + 105,290.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2010 + 12 + Service Indicators + M + N + - + 0 + + 1,244,991.00 + + 84,280.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2011 + 1 + Service Indicators + M + N + - + 0 + + 64,859.00 + + 64,859.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2011 + 2 + Service Indicators + M + N + - + 0 + + 139,177.00 + + 74,318.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2011 + 3 + Service Indicators + M + N + - + 0 + + 236,517.00 + + 97,340.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2011 + 4 + Service Indicators + M + N + - + 0 + + 336,673.00 + + 100,156.00 + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2011 + 5 + Service Indicators + M + N + - + 0 + + + + + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2011 + 6 + Service Indicators + M + N + - + 0 + + + + + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2011 + 7 + Service Indicators + M + N + - + 0 + + + + + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2011 + 8 + Service Indicators + M + N + - + 0 + + + + + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2011 + 9 + Service Indicators + M + N + - + 0 + + + + + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2011 + 10 + Service Indicators + M + N + - + 0 + + + + + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2011 + 11 + Service Indicators + M + N + - + 0 + + + + + + + 374956 + 374952 + NYC Transit + Bus Passenger Wheelchair Lift Usage - NYCT Bus + The number of times a wheelchair lift is used to board a passenger.Use of a wheelchair lift can be requested by any customer who feels he or she cannot board the bus by stepping through the front door. This is a new reporting measure. + 2011 + 12 + Service Indicators + M + N + - + 0 + + + + + + \ No newline at end of file diff --git a/datasets/mta_perf/Performance_NYCT.xsd b/datasets/mta_perf/Performance_NYCT.xsd new file mode 100644 index 000000000..d99ad1840 --- /dev/null +++ b/datasets/mta_perf/Performance_NYCT.xsd @@ -0,0 +1,96 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/datasets/mta_perf/Performance_TBTA.xml b/datasets/mta_perf/Performance_TBTA.xml new file mode 100644 index 000000000..5793efbd1 --- /dev/null +++ b/datasets/mta_perf/Performance_TBTA.xml @@ -0,0 +1,2595 @@ + + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2008 + 1 + Safety Indicators + M + D + - + 2 + .75 + .54 + .75 + .54 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2008 + 2 + Safety Indicators + M + D + - + 2 + .89 + .75 + 1.02 + .98 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2008 + 3 + Safety Indicators + M + D + - + 2 + .90 + .77 + .92 + .80 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2008 + 4 + Safety Indicators + M + D + - + 2 + .97 + .79 + 1.20 + .84 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2008 + 5 + Safety Indicators + M + D + - + 2 + .99 + .94 + 1.08 + 1.49 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2008 + 6 + Safety Indicators + M + D + - + 2 + 1.03 + .94 + 1.18 + .97 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2008 + 7 + Safety Indicators + M + D + - + 2 + 1.07 + .98 + 1.35 + 1.19 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2008 + 8 + Safety Indicators + M + D + - + 2 + 1.09 + .97 + 1.20 + .91 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2008 + 9 + Safety Indicators + M + D + - + 2 + 1.09 + .97 + 1.15 + 1.02 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2008 + 10 + Safety Indicators + M + D + - + 2 + 1.09 + .98 + 1.02 + .99 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2008 + 11 + Safety Indicators + M + D + - + 2 + 1.07 + .96 + .89 + .80 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2008 + 12 + Safety Indicators + M + D + - + 2 + 1.07 + .95 + 1.06 + .83 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2009 + 1 + Safety Indicators + M + D + - + 2 + .61 + .58 + .61 + .58 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2009 + 2 + Safety Indicators + M + D + - + 2 + .74 + .57 + .87 + .56 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2009 + 3 + Safety Indicators + M + D + - + 2 + .75 + .68 + .76 + .86 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2009 + 4 + Safety Indicators + M + D + - + 2 + .80 + .74 + .94 + .93 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2009 + 5 + Safety Indicators + M + D + - + 2 + .84 + .76 + 1.02 + .81 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2009 + 6 + Safety Indicators + M + D + - + 2 + .85 + .82 + .92 + 1.12 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2009 + 7 + Safety Indicators + M + D + - + 2 + .88 + .93 + 1.07 + 1.53 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2009 + 8 + Safety Indicators + M + D + - + 2 + .90 + .95 + 1.00 + 1.04 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2009 + 9 + Safety Indicators + M + D + - + 2 + .91 + .93 + 1.00 + .85 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2009 + 10 + Safety Indicators + M + D + - + 2 + .90 + .97 + .86 + 1.31 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2009 + 11 + Safety Indicators + M + D + - + 2 + .90 + .96 + .81 + .88 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2009 + 12 + Safety Indicators + M + D + - + 2 + .90 + .96 + .92 + .93 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2010 + 1 + Safety Indicators + M + D + - + 2 + .54 + .67 + .54 + .67 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2010 + 2 + Safety Indicators + M + D + - + 2 + .66 + .64 + .78 + .62 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2010 + 3 + Safety Indicators + M + D + - + 2 + .71 + .77 + .81 + .97 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2010 + 4 + Safety Indicators + M + D + - + 2 + .74 + .82 + .84 + .93 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2010 + 5 + Safety Indicators + M + D + - + 2 + .80 + .88 + 1.04 + 1.07 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2010 + 6 + Safety Indicators + M + D + - + 2 + .81 + .81 + .87 + .46 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2010 + 7 + Safety Indicators + M + D + - + 2 + .87 + .88 + 1.24 + 1.26 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2010 + 8 + Safety Indicators + M + D + - + 2 + .90 + .90 + 1.08 + 1.06 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2010 + 9 + Safety Indicators + M + D + - + 2 + .90 + .91 + .94 + 1.01 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2010 + 10 + Safety Indicators + M + D + - + 2 + .92 + .93 + 1.05 + 1.13 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2010 + 11 + Safety Indicators + M + D + - + 2 + .91 + .91 + .81 + .66 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2010 + 12 + Safety Indicators + M + D + - + 2 + .91 + .90 + .84 + .73 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2011 + 1 + Safety Indicators + M + D + - + 2 + .54 + .78 + .54 + .78 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2011 + 2 + Safety Indicators + M + D + - + 2 + .60 + .73 + .66 + .59 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2011 + 3 + Safety Indicators + M + D + - + 2 + .67 + .83 + .81 + .99 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2011 + 4 + Safety Indicators + M + D + - + 2 + .71 + .79 + .83 + .67 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2011 + 5 + Safety Indicators + M + D + - + 2 + .77 + .78 + 1.01 + .71 + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2011 + 6 + Safety Indicators + M + D + - + 2 + .77 + + .77 + + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2011 + 7 + Safety Indicators + M + D + - + 2 + .83 + + 1.21 + + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2011 + 8 + Safety Indicators + M + D + - + 2 + .84 + + .92 + + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2011 + 9 + Safety Indicators + M + D + - + 2 + .85 + + .87 + + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2011 + 10 + Safety Indicators + M + D + - + 2 + .87 + + 1.05 + + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2011 + 11 + Safety Indicators + M + D + - + 2 + .85 + + .71 + + + + 74039 + + Bridges and Tunnels + Collisions with Injury Rate + All customer collisions with injuries on B&T property. The rate is collisions with injuries per million vehicles. + 2011 + 12 + Safety Indicators + M + D + - + 2 + .85 + + .76 + + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 1 + Safety Indicators + M + D + - + 2 + + .60 + + .60 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 2 + Safety Indicators + M + D + - + 2 + + 1.30 + + 2.00 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 3 + Safety Indicators + M + D + - + 2 + + 1.30 + + 1.30 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 4 + Safety Indicators + M + D + - + 2 + + 2.10 + + 4.30 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 5 + Safety Indicators + M + D + - + 2 + + 2.30 + + 3.20 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 6 + Safety Indicators + M + D + - + 2 + + 2.20 + + 1.90 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 7 + Safety Indicators + M + D + - + 2 + + 2.40 + + 3.70 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 8 + Safety Indicators + M + D + - + 2 + + 2.20 + + .60 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 9 + Safety Indicators + M + D + - + 2 + + 2.40 + + 3.80 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 10 + Safety Indicators + M + D + - + 2 + + 2.40 + + 2.40 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 11 + Safety Indicators + M + D + - + 2 + + 2.40 + + 2.80 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2008 + 12 + Safety Indicators + M + D + - + 2 + + 2.90 + + 8.30 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 1 + Safety Indicators + M + D + - + 2 + 2.80 + .60 + 2.80 + .60 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 2 + Safety Indicators + M + D + - + 2 + 2.80 + 1.00 + 2.80 + 1.40 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 3 + Safety Indicators + M + D + - + 2 + 2.80 + 1.70 + 2.80 + 3.10 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 4 + Safety Indicators + M + D + - + 2 + 2.80 + 1.80 + 2.80 + 1.90 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 5 + Safety Indicators + M + D + - + 2 + 2.80 + 1.80 + 2.80 + 2.00 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 6 + Safety Indicators + M + D + - + 2 + 2.80 + 1.80 + 2.80 + 1.90 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 7 + Safety Indicators + M + D + - + 2 + 2.80 + 2.10 + 2.80 + 3.80 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 8 + Safety Indicators + M + D + - + 2 + 2.80 + 2.40 + 2.80 + 4.00 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 9 + Safety Indicators + M + D + - + 2 + 2.80 + 2.60 + 2.80 + 4.60 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 10 + Safety Indicators + M + D + - + 2 + 2.80 + 2.50 + 2.80 + 1.30 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 11 + Safety Indicators + M + D + - + 2 + 2.80 + 2.40 + 2.80 + 1.40 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2009 + 12 + Safety Indicators + M + D + - + 2 + 2.80 + 2.60 + 2.80 + 4.50 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 1 + Safety Indicators + M + D + - + 2 + 2.70 + 6.10 + 2.70 + 6.10 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 2 + Safety Indicators + M + D + - + 2 + 2.70 + 6.00 + 2.70 + 5.90 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 3 + Safety Indicators + M + D + - + 2 + 2.70 + 6.50 + 2.70 + 7.60 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 4 + Safety Indicators + M + D + - + 2 + 2.70 + 7.00 + 2.70 + 8.30 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 5 + Safety Indicators + M + D + - + 2 + 2.70 + 6.30 + 2.70 + 3.60 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 6 + Safety Indicators + M + D + - + 2 + 2.70 + 6.30 + 2.70 + 6.20 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 7 + Safety Indicators + M + D + - + 2 + 2.70 + 6.20 + 2.70 + 5.80 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 8 + Safety Indicators + M + D + - + 2 + 2.70 + 5.80 + 2.70 + 2.90 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 9 + Safety Indicators + M + D + - + 2 + 2.70 + 5.60 + 2.70 + 3.60 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 10 + Safety Indicators + M + D + - + 2 + 2.70 + 5.60 + 2.70 + 5.20 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 11 + Safety Indicators + M + D + - + 2 + 2.70 + 5.50 + 2.70 + 4.80 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2010 + 12 + Safety Indicators + M + D + - + 2 + 2.70 + 5.70 + 2.70 + 6.70 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 1 + Safety Indicators + M + D + - + 2 + 4.10 + 8.80 + 4.10 + 8.80 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 2 + Safety Indicators + M + D + - + 2 + 4.10 + 6.90 + 4.10 + 5.00 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 3 + Safety Indicators + M + D + - + 2 + 4.10 + 5.20 + 4.10 + 2.10 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 4 + Safety Indicators + M + D + - + 2 + 4.10 + 5.30 + 4.10 + 5.40 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 5 + Safety Indicators + M + D + - + 2 + 4.10 + 5.70 + 4.10 + 7.20 + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 6 + Safety Indicators + M + D + - + 2 + 4.10 + + 4.10 + + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 7 + Safety Indicators + M + D + - + 2 + 4.10 + + 4.10 + + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 8 + Safety Indicators + M + D + - + 2 + 4.10 + + 4.10 + + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 9 + Safety Indicators + M + D + - + 2 + 4.10 + + 4.10 + + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 10 + Safety Indicators + M + D + - + 2 + 4.10 + + 4.10 + + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 11 + Safety Indicators + M + D + - + 2 + 4.10 + + 4.10 + + + + 74040 + + Bridges and Tunnels + Employee Lost Time Rate + An employee lost time injury or illness is one that prevents an employee from returning to work for at least one full shift. The rate is injuries and illnesses per 200,000 worker hours. + 2011 + 12 + Safety Indicators + M + D + - + 2 + 4.10 + + 4.10 + + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2008 + 1 + Service Indicators + M + U + - + 0 + + 23,653,532.00 + + 23,653,532.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2008 + 2 + Service Indicators + M + U + - + 0 + + 45,825,715.00 + + 22,172,183.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2008 + 3 + Service Indicators + M + U + - + 0 + + 70,688,382.00 + + 24,862,667.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2008 + 4 + Service Indicators + M + U + - + 0 + + 95,277,708.00 + + 24,589,326.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2008 + 5 + Service Indicators + M + U + - + 0 + + 121,143,212.00 + + 25,865,504.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2008 + 6 + Service Indicators + M + U + - + 0 + + 146,780,155.00 + + 25,636,943.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2008 + 7 + Service Indicators + M + U + - + 0 + + 172,665,956.00 + + 25,885,801.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2008 + 8 + Service Indicators + M + U + - + 0 + + 198,830,159.00 + + 26,164,203.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2008 + 9 + Service Indicators + M + U + - + 0 + + 223,131,306.00 + + 24,301,147.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2008 + 10 + Service Indicators + M + U + - + 0 + + 248,081,756.00 + + 24,950,450.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2008 + 11 + Service Indicators + M + U + - + 0 + + 271,721,375.00 + + 23,639,619.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2008 + 12 + Service Indicators + M + U + - + 0 + + 295,651,485.00 + + 23,930,110.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2009 + 1 + Service Indicators + M + U + - + 0 + 21,970,438.00 + 21,970,438.00 + 21,970,438.00 + 21,970,438.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2009 + 2 + Service Indicators + M + U + - + 0 + 43,202,615.00 + 43,202,615.00 + 21,232,177.00 + 21,232,177.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2009 + 3 + Service Indicators + M + U + - + 0 + 67,182,462.00 + 67,201,465.00 + 23,979,847.00 + 23,998,850.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2009 + 4 + Service Indicators + M + U + - + 0 + 91,717,005.00 + 91,752,177.00 + 24,534,543.00 + 24,550,712.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2009 + 5 + Service Indicators + M + U + - + 0 + 117,423,583.00 + 117,486,258.00 + 25,706,578.00 + 25,734,081.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2009 + 6 + Service Indicators + M + U + - + 0 + 142,920,549.00 + 143,039,714.00 + 25,496,966.00 + 25,553,456.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2009 + 7 + Service Indicators + M + U + - + 0 + 167,848,988.00 + 168,899,947.00 + 24,928,439.00 + 25,860,233.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2009 + 8 + Service Indicators + M + U + - + 0 + 193,092,470.00 + 194,708,988.00 + 25,243,482.00 + 25,809,041.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2009 + 9 + Service Indicators + M + U + - + 0 + 216,475,161.00 + 219,252,945.00 + 23,382,691.00 + 24,543,957.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2009 + 10 + Service Indicators + M + U + - + 0 + 240,489,864.00 + 244,257,385.00 + 24,014,703.00 + 25,004,440.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2009 + 11 + Service Indicators + M + U + - + 0 + 263,437,375.00 + 267,886,862.00 + 22,947,511.00 + 23,629,477.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2009 + 12 + Service Indicators + M + U + - + 0 + 287,347,001.00 + 291,383,388.00 + 23,909,626.00 + 23,496,526.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2010 + 1 + Service Indicators + M + U + - + 0 + 21,964,675.00 + 22,330,921.00 + 21,964,675.00 + 22,330,921.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2010 + 2 + Service Indicators + M + U + - + 0 + 42,879,258.00 + 41,478,223.00 + 20,914,583.00 + 19,147,302.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2010 + 3 + Service Indicators + M + U + - + 0 + 66,537,709.00 + 65,967,576.00 + 23,658,451.00 + 24,489,353.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2010 + 4 + Service Indicators + M + U + - + 0 + 90,854,788.00 + 90,537,976.00 + 24,317,079.00 + 24,570,400.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2010 + 5 + Service Indicators + M + U + - + 0 + 116,302,452.00 + 116,518,844.00 + 25,447,664.00 + 25,980,868.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2010 + 6 + Service Indicators + M + U + - + 0 + 141,626,741.00 + 142,455,907.00 + 25,324,289.00 + 25,937,063.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2010 + 7 + Service Indicators + M + U + - + 0 + 167,172,701.00 + 168,437,622.00 + 25,545,960.00 + 25,981,715.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2010 + 8 + Service Indicators + M + U + - + 0 + 192,708,734.00 + 194,639,881.00 + 25,536,033.00 + 26,202,259.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2010 + 9 + Service Indicators + M + U + - + 0 + 216,876,470.00 + 219,257,582.00 + 24,167,736.00 + 24,617,701.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2010 + 10 + Service Indicators + M + U + - + 0 + 241,617,438.00 + 244,728,229.00 + 24,740,968.00 + 25,470,647.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2010 + 11 + Service Indicators + M + U + - + 0 + 264,923,419.00 + 268,744,899.00 + 23,305,981.00 + 24,016,670.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2010 + 12 + Service Indicators + M + U + - + 0 + 290,284,002.00 + 291,714,229.00 + 25,360,583.00 + 22,969,330.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2011 + 1 + Service Indicators + M + U + - + 0 + 21,070,043.00 + 20,408,730.00 + 21,070,043.00 + 20,408,730.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2011 + 2 + Service Indicators + M + U + - + 0 + 41,494,397.00 + 40,584,874.00 + 20,424,354.00 + 20,176,144.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2011 + 3 + Service Indicators + M + U + - + 0 + 65,385,720.00 + 64,505,606.00 + 23,891,323.00 + 23,920,732.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2011 + 4 + Service Indicators + M + U + - + 0 + 89,221,981.00 + 88,077,230.00 + 23,836,261.00 + 23,571,624.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2011 + 5 + Service Indicators + M + U + - + 0 + 114,765,370.00 + 113,196,149.00 + 25,543,389.00 + 25,118,919.00 + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2011 + 6 + Service Indicators + M + U + - + 0 + 140,158,863.00 + + 25,393,493.00 + + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2011 + 7 + Service Indicators + M + U + - + 0 + 165,580,103.00 + + 25,421,240.00 + + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2011 + 8 + Service Indicators + M + U + - + 0 + 191,227,773.00 + + 25,647,670.00 + + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2011 + 9 + Service Indicators + M + U + - + 0 + 215,329,702.00 + + 24,101,929.00 + + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2011 + 10 + Service Indicators + M + U + - + 0 + 240,232,944.00 + + 24,903,242.00 + + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2011 + 11 + Service Indicators + M + U + - + 0 + 263,724,656.00 + + 23,491,712.00 + + + + 80231 + + Bridges and Tunnels + Total Traffic + The number of vehicles that pass through toll booths using either E-ZPass or cash as payment. + 2011 + 12 + Service Indicators + M + U + - + 0 + 286,764,002.00 + + 23,039,346.00 + + + \ No newline at end of file diff --git a/datasets/mta_perf/Performance_TBTA.xsd b/datasets/mta_perf/Performance_TBTA.xsd new file mode 100644 index 000000000..d99ad1840 --- /dev/null +++ b/datasets/mta_perf/Performance_TBTA.xsd @@ -0,0 +1,96 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/datasets/mta_perf/parse.py b/datasets/mta_perf/parse.py new file mode 100644 index 000000000..a402d921c --- /dev/null +++ b/datasets/mta_perf/parse.py @@ -0,0 +1,16 @@ +from pandas import DataFrame +from lxml import objectify + +path = 'Performance_MNR.xml' +parsed = objectify.parse(open(path)) +root = parsed.getroot() + +data = [] + +for elt in root.INDICATOR: + el_data = {} + for child in elt.getchildren(): + el_data[child.tag] = child.pyval + data.append(el_data) + +perf = DataFrame(data) diff --git a/datasets/titanic/genderclassmodel.csv b/datasets/titanic/genderclassmodel.csv new file mode 100644 index 000000000..bdaa08a63 --- /dev/null +++ b/datasets/titanic/genderclassmodel.csv @@ -0,0 +1,419 @@ +PassengerId,Survived +892,0 +893,1 +894,0 +895,0 +896,1 +897,0 +898,1 +899,0 +900,1 +901,0 +902,0 +903,0 +904,1 +905,0 +906,1 +907,1 +908,0 +909,0 +910,1 +911,1 +912,0 +913,0 +914,1 +915,0 +916,1 +917,0 +918,1 +919,0 +920,0 +921,0 +922,0 +923,0 +924,0 +925,0 +926,0 +927,0 +928,1 +929,1 +930,0 +931,0 +932,0 +933,0 +934,0 +935,1 +936,1 +937,0 +938,0 +939,0 +940,1 +941,1 +942,0 +943,0 +944,1 +945,1 +946,0 +947,0 +948,0 +949,0 +950,0 +951,1 +952,0 +953,0 +954,0 +955,1 +956,0 +957,1 +958,1 +959,0 +960,0 +961,1 +962,1 +963,0 +964,1 +965,0 +966,1 +967,0 +968,0 +969,1 +970,0 +971,1 +972,0 +973,0 +974,0 +975,0 +976,0 +977,0 +978,1 +979,1 +980,1 +981,0 +982,1 +983,0 +984,1 +985,0 +986,0 +987,0 +988,1 +989,0 +990,1 +991,0 +992,1 +993,0 +994,0 +995,0 +996,1 +997,0 +998,0 +999,0 +1000,0 +1001,0 +1002,0 +1003,1 +1004,1 +1005,1 +1006,1 +1007,0 +1008,0 +1009,1 +1010,0 +1011,1 +1012,1 +1013,0 +1014,1 +1015,0 +1016,0 +1017,1 +1018,0 +1019,0 +1020,0 +1021,0 +1022,0 +1023,0 +1024,0 +1025,0 +1026,0 +1027,0 +1028,0 +1029,0 +1030,1 +1031,0 +1032,0 +1033,1 +1034,0 +1035,0 +1036,0 +1037,0 +1038,0 +1039,0 +1040,0 +1041,0 +1042,1 +1043,0 +1044,0 +1045,1 +1046,0 +1047,0 +1048,1 +1049,1 +1050,0 +1051,1 +1052,1 +1053,0 +1054,1 +1055,0 +1056,0 +1057,0 +1058,0 +1059,0 +1060,1 +1061,1 +1062,0 +1063,0 +1064,0 +1065,0 +1066,0 +1067,1 +1068,1 +1069,0 +1070,1 +1071,1 +1072,0 +1073,0 +1074,1 +1075,0 +1076,1 +1077,0 +1078,1 +1079,0 +1080,0 +1081,0 +1082,0 +1083,0 +1084,0 +1085,0 +1086,0 +1087,0 +1088,0 +1089,1 +1090,0 +1091,1 +1092,1 +1093,0 +1094,0 +1095,1 +1096,0 +1097,0 +1098,1 +1099,0 +1100,1 +1101,0 +1102,0 +1103,0 +1104,0 +1105,1 +1106,1 +1107,0 +1108,1 +1109,0 +1110,1 +1111,0 +1112,1 +1113,0 +1114,1 +1115,0 +1116,1 +1117,1 +1118,0 +1119,1 +1120,0 +1121,0 +1122,0 +1123,1 +1124,0 +1125,0 +1126,0 +1127,0 +1128,0 +1129,0 +1130,1 +1131,1 +1132,1 +1133,1 +1134,0 +1135,0 +1136,0 +1137,0 +1138,1 +1139,0 +1140,1 +1141,1 +1142,1 +1143,0 +1144,0 +1145,0 +1146,0 +1147,0 +1148,0 +1149,0 +1150,1 +1151,0 +1152,0 +1153,0 +1154,1 +1155,1 +1156,0 +1157,0 +1158,0 +1159,0 +1160,1 +1161,0 +1162,0 +1163,0 +1164,1 +1165,1 +1166,0 +1167,1 +1168,0 +1169,0 +1170,0 +1171,0 +1172,1 +1173,0 +1174,1 +1175,1 +1176,0 +1177,0 +1178,0 +1179,0 +1180,0 +1181,0 +1182,0 +1183,1 +1184,0 +1185,0 +1186,0 +1187,0 +1188,1 +1189,0 +1190,0 +1191,0 +1192,0 +1193,0 +1194,0 +1195,0 +1196,1 +1197,1 +1198,0 +1199,0 +1200,0 +1201,1 +1202,0 +1203,0 +1204,0 +1205,1 +1206,1 +1207,1 +1208,0 +1209,0 +1210,0 +1211,0 +1212,0 +1213,0 +1214,0 +1215,0 +1216,1 +1217,0 +1218,1 +1219,0 +1220,0 +1221,0 +1222,1 +1223,0 +1224,0 +1225,1 +1226,0 +1227,0 +1228,0 +1229,0 +1230,0 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Mary Conover",female,16,0,1,PC 17592,39.4,D28,S +855,0,2,"Carter, Mrs. Ernest Courtenay (Lilian Hughes)",female,44,1,0,244252,26,,S +856,1,3,"Aks, Mrs. Sam (Leah Rosen)",female,18,0,1,392091,9.35,,S +857,1,1,"Wick, Mrs. George Dennick (Mary Hitchcock)",female,45,1,1,36928,164.8667,,S +858,1,1,"Daly, Mr. Peter Denis ",male,51,0,0,113055,26.55,E17,S +859,1,3,"Baclini, Mrs. Solomon (Latifa Qurban)",female,24,0,3,2666,19.2583,,C +860,0,3,"Razi, Mr. Raihed",male,,0,0,2629,7.2292,,C +861,0,3,"Hansen, Mr. Claus Peter",male,41,2,0,350026,14.1083,,S +862,0,2,"Giles, Mr. Frederick Edward",male,21,1,0,28134,11.5,,S +863,1,1,"Swift, Mrs. Frederick Joel (Margaret Welles Barron)",female,48,0,0,17466,25.9292,D17,S +864,0,3,"Sage, Miss. Dorothy Edith ""Dolly""",female,,8,2,CA. 2343,69.55,,S +865,0,2,"Gill, Mr. John William",male,24,0,0,233866,13,,S +866,1,2,"Bystrom, Mrs. (Karolina)",female,42,0,0,236852,13,,S +867,1,2,"Duran y More, Miss. 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Adele Kiamie ""Jane""",female,15,0,0,2667,7.225,,C +877,0,3,"Gustafsson, Mr. Alfred Ossian",male,20,0,0,7534,9.8458,,S +878,0,3,"Petroff, Mr. Nedelio",male,19,0,0,349212,7.8958,,S +879,0,3,"Laleff, Mr. Kristo",male,,0,0,349217,7.8958,,S +880,1,1,"Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)",female,56,0,1,11767,83.1583,C50,C +881,1,2,"Shelley, Mrs. William (Imanita Parrish Hall)",female,25,0,1,230433,26,,S +882,0,3,"Markun, Mr. Johann",male,33,0,0,349257,7.8958,,S +883,0,3,"Dahlberg, Miss. Gerda Ulrika",female,22,0,0,7552,10.5167,,S +884,0,2,"Banfield, Mr. Frederick James",male,28,0,0,C.A./SOTON 34068,10.5,,S +885,0,3,"Sutehall, Mr. Henry Jr",male,25,0,0,SOTON/OQ 392076,7.05,,S +886,0,3,"Rice, Mrs. William (Margaret Norton)",female,39,0,5,382652,29.125,,Q +887,0,2,"Montvila, Rev. Juozas",male,27,0,0,211536,13,,S +888,1,1,"Graham, Miss. Margaret Edith",female,19,0,0,112053,30,B42,S +889,0,3,"Johnston, Miss. Catherine Helen ""Carrie""",female,,1,2,W./C. 6607,23.45,,S +890,1,1,"Behr, Mr. Karl Howell",male,26,0,0,111369,30,C148,C +891,0,3,"Dooley, Mr. Patrick",male,32,0,0,370376,7.75,,Q diff --git a/ch07/foods-2011-10-03.json b/datasets/usda_food/database.json similarity index 100% rename from ch07/foods-2011-10-03.json rename to datasets/usda_food/database.json diff --git a/examples/array_ex.txt b/examples/array_ex.txt new file mode 100644 index 000000000..2daa56bbb --- /dev/null +++ b/examples/array_ex.txt @@ -0,0 +1,6 @@ +0.580052,0.186730,1.040717,1.134411 +0.194163,-0.636917,-0.938659,0.124094 +-0.126410,0.268607,-0.695724,0.047428 +-1.484413,0.004176,-0.744203,0.005487 +2.302869,0.200131,1.670238,-1.881090 +-0.193230,1.047233,0.482803,0.960334 diff --git a/ch06/csv_mindex.csv b/examples/csv_mindex.csv similarity index 100% rename from ch06/csv_mindex.csv rename to examples/csv_mindex.csv diff --git a/ch06/ex1.csv b/examples/ex1.csv similarity index 100% rename from ch06/ex1.csv rename to examples/ex1.csv diff --git a/examples/ex1.xlsx b/examples/ex1.xlsx new file mode 100644 index 000000000..e8e22b29a Binary files /dev/null and b/examples/ex1.xlsx differ diff --git a/ch06/ex2.csv b/examples/ex2.csv similarity index 100% rename from ch06/ex2.csv rename to examples/ex2.csv diff --git a/ch06/ex3.txt b/examples/ex3.txt similarity index 100% rename from ch06/ex3.txt rename to examples/ex3.txt diff --git a/ch06/ex4.csv b/examples/ex4.csv similarity index 90% rename from ch06/ex4.csv rename to examples/ex4.csv index 6372ab25a..67a36e468 100644 --- a/ch06/ex4.csv +++ b/examples/ex4.csv @@ -4,4 +4,4 @@ a,b,c,d,message # who reads CSV files with computers, anyway? 1,2,3,4,hello 5,6,7,8,world -9,10,11,12,foo \ No newline at end of file +9,10,11,12,foo diff --git a/ch06/ex5.csv b/examples/ex5.csv similarity index 100% rename from ch06/ex5.csv rename to examples/ex5.csv diff --git a/ch06/ex6.csv b/examples/ex6.csv similarity index 100% rename from ch06/ex6.csv rename to examples/ex6.csv diff --git a/ch06/ex7.csv b/examples/ex7.csv similarity index 60% rename from ch06/ex7.csv rename to examples/ex7.csv index 9db3e6898..2f91c6364 100644 --- a/ch06/ex7.csv +++ b/examples/ex7.csv @@ -1,3 +1,3 @@ "a","b","c" "1","2","3" -"1","2","3","4" +"1","2","3" diff --git a/examples/example.json b/examples/example.json new file mode 100644 index 000000000..1760abb53 --- /dev/null +++ b/examples/example.json @@ -0,0 +1,3 @@ +[{"a": 1, "b": 2, "c": 3}, + {"a": 4, "b": 5, "c": 6}, + {"a": 7, "b": 8, "c": 9}] diff --git a/examples/fdic_failed_bank_list.html b/examples/fdic_failed_bank_list.html new file mode 100644 index 000000000..8d49fbb2a --- /dev/null +++ b/examples/fdic_failed_bank_list.html @@ -0,0 +1,4993 @@ + + + +FDIC: Failed Bank List + + + + + + + + + + + + + + + + + + + + + + + FDIC Header Test + + + + + + + + + + + + +Skip Header +
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The FDIC is often appointed as receiver for failed banks. This page contains useful information for the customers and vendors of these banks. This includes information on the acquiring bank (if applicable), how your accounts and loans are affected, and how vendors can file claims against the receivership. Failed Financial Institution Contact Search displays point of contact information related to failed banks.

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+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Bank NameCitySTCERTAcquiring InstitutionClosing DateUpdated Date
Allied BankMulberryAR91Today's BankSeptember 23, 2016November 17, 2016
The Woodbury Banking CompanyWoodburyGA11297United BankAugust 19, 2016November 17, 2016
First CornerStone BankKing of PrussiaPA35312 First-Citizens Bank & Trust CompanyMay 6, 2016September 6, 2016
Trust Company BankMemphisTN9956The Bank of Fayette CountyApril 29, 2016September 6, 2016
North Milwaukee State BankMilwaukeeWI20364First-Citizens Bank & Trust CompanyMarch 11, 2016June 16, 2016
Hometown National BankLongviewWA35156Twin City BankOctober 2, 2015April 13, 2016
The Bank of GeorgiaPeachtree CityGA35259Fidelity BankOctober 2, 2015October 24, 2016
Premier BankDenverCO34112United Fidelity Bank, fsbJuly 10, 2015August 17, 2016
Edgebrook BankChicagoIL57772Republic Bank of ChicagoMay 8, 2015July 12, 2016
Doral Bank
+ En Espanol		San JuanPR32102Banco Popular de Puerto RicoFebruary 27, 2015May 13, 2015
Capitol City Bank & Trust CompanyAtlantaGA 33938 First-Citizens Bank & Trust CompanyFebruary 13, 2015April 21, 2015
Highland Community BankChicagoIL 20290 United Fidelity Bank, fsbJanuary 23, 2015April 21, 2015
First National Bank of Crestview CrestviewFL 17557 First NBC BankJanuary 16, 2015January 15, 2016
Northern Star BankMankatoMN34983BankVistaDecember 19, 2014January 6, 2016
Frontier Bank, FSB D/B/A El Paseo BankPalm DesertCA34738Bank of Southern California, N.A.November 7, 2014November 10, 2016
The National Republic Bank of ChicagoChicagoIL916State Bank of TexasOctober 24, 2014January 6, 2016
NBRS FinancialRising SunMD4862Howard BankOctober 17, 2014March 26, 2015
GreenChoice Bank, fsbChicagoIL28462Providence Bank, LLCJuly 25, 2014July 28, 2015
Eastside Commercial BankConyersGA58125Community & Southern BankJuly 18, 2014July 11, 2016
The Freedom State Bank FreedomOK12483Alva State Bank & Trust Company June 27, 2014March 25, 2016
Valley BankFort LauderdaleFL21793Landmark Bank, National Association June 20, 2014June 29, 2015
Valley BankMolineIL10450Great Southern Bank June 20, 2014June 26, 2015
Slavie Federal Savings BankBel AirMD32368Bay Bank, FSBMay 30, 2014June 15, 2015
Columbia Savings BankCincinnatiOH32284United Fidelity Bank, fsbMay 23, 2014November 10, 2016
AztecAmerica Bank
+ En Espanol		BerwynIL57866Republic Bank of ChicagoMay 16, 2014October 20, 2016
Allendale County BankFairfaxSC15062Palmetto State BankApril 25, 2014July 18, 2014
Vantage Point BankHorshamPA58531First Choice BankFebruary 28, 2014March 3, 2015
Millennium Bank, National Association SterlingVA35096WashingtonFirst BankFebruary 28, 2014March 03, 2015
Syringa BankBoiseID34296Sunwest BankJanuary 31, 2014April 12, 2016
The Bank of UnionEl RenoOK17967BancFirstJanuary 24, 2014March 25, 2016
DuPage National BankWest ChicagoIL5732Republic Bank of ChicagoJanuary 17, 2014October 20, 2016
Texas Community Bank, National AssociationThe WoodlandsTX57431Spirit of Texas Bank, SSBDecember 13, 2013December 29, 2014
Bank of Jackson CountyGracevilleFL14794First Federal Bank of FloridaOctober 30, 2013October 20, 2016
First National Bank also operating as The + National Bank of El Paso
+ En Espanol 		EdinburgTX14318PlainsCapital BankSeptember 13, 2013May 27, 2015
The Community's BankBridgeportCT57041No AcquirerSeptember 13, 2013December 7, 2015
Sunrise Bank of ArizonaPhoenixAZ34707First Fidelity Bank, National AssociationAugust 23, 2013September 12, 2014
Community South BankParsonsTN19849CB&S Bank, Inc.August 23, 2013September 12, 2014
Bank of WausauWausauWI35016Nicolet National BankAugust 9, 2013October 24, 2013
First Community Bank of Southwest Florida (also operating as Community Bank of Cape Coral)Fort MyersFL34943C1 BankAugust 2, 2013August 4, 2014
Mountain National BankSeviervilleTN34789First Tennessee Bank, National Association June 7, 2013February 4, 2016
1st Commerce BankNorth Las VegasNV58358Plaza BankJune 6, 2013July 12, 2013
Banks of Wisconsin d/b/a Bank of KenoshaKenoshaWI35386North Shore Bank, FSBMay 31, 2013June 2, 2014
Central Arizona BankScottsdaleAZ34527Western State BankMay 14, 2013December 7, 2015
Sunrise BankValdostaGA58185Synovus BankMay 10, 2013June 26, 2014
Pisgah Community BankAshevilleNC58701Capital Bank, N.A.May 10, 2013August 8, 2016
Douglas County BankDouglasvilleGA21649Hamilton State BankApril 26, 2013April 25, 2014
Parkway BankLenoirNC57158CertusBank, National AssociationApril 26, 2013October 20, 2016
Chipola Community BankMariannaFL58034First Federal Bank of FloridaApril 19, 2013September 21, 2015
Heritage Bank of North FloridaOrange ParkFL26680FirstAtlantic BankApril 19, 2013August 8, 2016
First Federal BankLexingtonKY29594Your Community BankApril 19, 2013April 24, 2014
Gold Canyon BankGold CanyonAZ58066First Scottsdale Bank, National AssociationApril 5, 2013October 7, 2015
Frontier BankLaGrangeGA16431HeritageBank of the SouthMarch 8, 2013March 2, 2016
Covenant BankChicagoIL22476Liberty Bank and Trust CompanyFebruary 15, 2013September 21, 2015
1st Regents BankAndoverMN57157First Minnesota BankJanuary 18, 2013July 12, 2016
Westside Community BankUniversity PlaceWA33997Sunwest BankJanuary 11, 2013August 8, 2016
Community Bank of the OzarksSunrise BeachMO27331Bank of SullivanDecember 14, 2012April 4, 2014
Hometown Community BankBraseltonGA57928CertusBank, National AssociationNovember 16, 2012January 6, 2016
Citizens First National BankPrincetonIL3731Heartland Bank and Trust CompanyNovember 2, 2012November 22, 2013
Heritage Bank of FloridaLutzFL35009Centennial BankNovember 2, 2012March 21, 2014
NOVA BankBerwynPA27148No AcquirerOctober 26, 2012January 24, 2013
Excel BankSedaliaMO19189Simmons First National BankOctober 19, 2012October 22, 2013
First East Side Savings BankTamaracFL28144Stearns Bank N.A.October 19, 2012January 6, 2016
GulfSouth Private BankDestinFL58073SmartBankOctober 19, 2012March 21, 2014
First United BankCreteIL20685Old Plank Trail Community Bank, National AssociationSeptember 28, 2012November 1, 2013
Truman BankSt. LouisMO27316Simmons First National BankSeptember 14, 2012December 17, 2012
First Commercial BankBloomingtonMN35246Republic Bank & Trust CompanySeptember 7, 2012December 17, 2012
Waukegan Savings BankWaukeganIL28243First Midwest BankAugust 3, 2012December 7, 2015
Jasper Banking CompanyJasperGA16240Stearns Bank N.A.July 27, 2012March 21, 2014
Second Federal Savings and Loan Association of ChicagoChicagoIL27986Hinsdale Bank & Trust CompanyJuly 20, 2012January 14, 2013
Heartland BankLeawoodKS1361Metcalf BankJuly 20, 2012July 30, 2013
First Cherokee State BankWoodstockGA32711Community & Southern BankJuly 20, 2012June 6, 2016
Georgia Trust BankBufordGA57847Community & Southern BankJuly 20, 2012March 21, 2014
The Royal Palm Bank of FloridaNaplesFL57096First National Bank of the Gulf CoastJuly 20, 2012March 21, 2014
Glasgow Savings BankGlasgowMO1056Regional Missouri BankJuly 13, 2012August 19, 2014
Montgomery Bank & TrustAileyGA19498Ameris BankJuly 6, 2012March 21, 2014
The Farmers Bank of LynchburgLynchburgTN1690Clayton Bank and TrustJune 15, 2012August 8, 2016
Security Exchange BankMariettaGA35299Fidelity BankJune 15, 2012March 21, 2014
Putnam State BankPalatkaFL27405Harbor Community BankJune 15, 2012March 21, 2014
Waccamaw BankWhitevilleNC34515First Community BankJune 8, 2012March 21, 2014
Farmers' and Traders' State BankShabbonaIL9257First State BankJune 8, 2012October 10, 2012
Carolina Federal Savings BankCharlestonSC35372Bank of North CarolinaJune 8, 2012March 21, 2014
First Capital BankKingfisherOK416F & M BankJune 8, 2012February 5, 2015
Alabama Trust Bank, National AssociationSylacaugaAL35224Southern States BankMay 18, 2012September 21, 2015
Security Bank, National AssociationNorth LauderdaleFL23156Banesco USAMay 4, 2012April 12, 2016
Palm Desert National BankPalm DesertCA23632Pacific Premier BankApril 27, 2012December 7, 2015
Plantation Federal BankPawleys IslandSC32503First Federal BankApril 27, 2012November 10, 2016
Inter Savings Bank, fsb D/B/A InterBank, fsbMaple GroveMN31495Great Southern BankApril 27, 2012May 17, 2013
HarVest Bank of MarylandGaithersburgMD57766SonabankApril 27, 2012September 21, 2015
Bank of the Eastern ShoreCambridgeMD26759No AcquirerApril 27, 2012October 17, 2012
Fort Lee Federal Savings Bank, FSBFort LeeNJ35527Alma BankApril 20, 2012May 17, 2013
Fidelity BankDearbornMI33883The Huntington National BankMarch 30, 2012February 4, 2014
Premier BankWilmetteIL35419International Bank of ChicagoMarch 23, 2012October 17, 2012
Covenant Bank & TrustRock SpringGA58068Stearns Bank, N.A.March 23, 2012March 21, 2014
New City BankChicagoIL57597No AcquirerMarch 9, 2012October 29, 2012
Global Commerce BankDoravilleGA34046Metro City BankMarch 2, 2012June 26, 2014
Home Savings of AmericaLittle FallsMN29178No AcquirerFebruary 24, 2012December 17, 2012
Central Bank of GeorgiaEllavilleGA5687Ameris BankFebruary 24, 2012March 21, 2014
SCB BankShelbyvilleIN29761First Merchants Bank, National AssociationFebruary 10, 2012February 19, 2015
Charter National Bank and TrustHoffman EstatesIL23187Barrington Bank & Trust Company, National AssociationFebruary 10, 2012March 25, 2013
BankEastKnoxvilleTN19869U.S. Bank, N.A.January 27, 2012December 7, 2015
Patriot Bank MinnesotaForest LakeMN34823First Resource BankJanuary 27, 2012September 12, 2012
Tennessee Commerce BankFranklinTN35296Republic Bank & Trust CompanyJanuary 27, 2012March 21, 2014
First Guaranty Bank and Trust Company of JacksonvilleJacksonvilleFL16579CenterState Bank of Florida, N.A.January 27, 2012July 11, 2016
American Eagle Savings BankBoothwynPA31581Capital Bank, N.A.January 20, 2012January 25, 2013
The First State BankStockbridgeGA19252Hamilton State BankJanuary 20, 2012March 21, 2014
Central Florida State BankBelleviewFL57186CenterState Bank of Florida, N.A.January 20, 2012June 6, 2016
Western National BankPhoenixAZ57917Washington FederalDecember 16, 2011February 5, 2015
Premier Community Bank of the Emerald CoastCrestviewFL58343Summit BankDecember 16, 2011March 21, 2014
Central Progressive BankLacombeLA19657
+

First NBC Bank

+
November 18, 2011February 5, 2015
Polk County BankJohnstonIA14194Grinnell State BankNovember 18, 2011August 15, 2012
Community Bank of RockmartRockmartGA57860Century Bank of GeorgiaNovember 10, 2011March 21, 2014
SunFirst BankSaint GeorgeUT57087Cache Valley BankNovember 4, 2011November 16, 2012
Mid City Bank, Inc.OmahaNE19397Premier BankNovember 4, 2011August 15, 2012
All American BankDes PlainesIL57759International Bank of ChicagoOctober 28, 2011August 15, 2012
Community Banks of ColoradoGreenwood VillageCO21132Bank Midwest, N.A.October 21, 2011January 2, 2013
Community Capital BankJonesboroGA57036State Bank and Trust CompanyOctober 21, 2011January 6, 2016
Decatur First BankDecaturGA34392Fidelity BankOctober 21, 2011March 21, 2014
Old Harbor BankClearwaterFL575371st United BankOctober 21, 2011March 21, 2014
Country BankAledoIL35395Blackhawk Bank & TrustOctober 14, 2011August 15, 2012
First State BankCranfordNJ58046Northfield BankOctober 14, 2011November 8, 2012
Blue Ridge Savings Bank, Inc.AshevilleNC32347Bank of North CarolinaOctober 14, 2011March 21, 2014
Piedmont Community BankGrayGA57256State Bank and Trust CompanyOctober 14, 2011March 21, 2014
Sun Security BankEllingtonMO20115Great Southern BankOctober 7, 2011November 7, 2012
The RiverBankWyomingMN10216Central BankOctober 7, 2011November 7, 2012
First International BankPlanoTX33513American First National BankSeptember 30, 2011February 5, 2015
Citizens Bank of Northern CaliforniaNevada CityCA33983Tri Counties BankSeptember 23, 2011October 9, 2012
Bank of the CommonwealthNorfolkVA20408Southern Bank and Trust CompanySeptember 23, 2011October 9, 2012
The First National Bank of FloridaMiltonFL25155CharterBankSeptember 9, 2011March 21, 2014
CreekSide BankWoodstockGA58226Georgia Commerce BankSeptember 2, 2011March 21, 2014
Patriot Bank of GeorgiaCummingGA58273Georgia Commerce BankSeptember 2, 2011March 21, 2014
First Choice BankGenevaIL57212Inland Bank & TrustAugust 19, 2011February 5, 2015
First Southern National BankStatesboroGA57239Heritage Bank of the SouthAugust 19, 2011March 2, 2016
Lydian Private BankPalm BeachFL35356Sabadell United Bank, N.A.August 19, 2011March 21, 2014
Public Savings BankHuntingdon ValleyPA34130Capital Bank, N.A.August 18, 2011August 15, 2012
The First National Bank of OlatheOlatheKS4744Enterprise Bank & TrustAugust 12, 2011August 23, 2012
Bank of WhitmanColfaxWA22528Columbia State BankAugust 5, 2011August 16, 2012
Bank of ShorewoodShorewoodIL22637Heartland Bank and Trust CompanyAugust 5, 2011October 20, 2016
Integra Bank National AssociationEvansvilleIN4392Old National BankJuly 29, 2011August 16, 2012
BankMeridian, N.A.ColumbiaSC58222SCBT National AssociationJuly 29, 2011March 21, 2014
Virginia Business BankRichmondVA58283Xenith BankJuly 29, 2011October 9, 2012
Bank of ChoiceGreeleyCO2994Bank Midwest, N.A.July 22, 2011September 12, 2012
LandMark Bank of FloridaSarasotaFL35244American Momentum BankJuly 22, 2011March 21, 2014
Southshore Community BankApollo BeachFL58056American Momentum BankJuly 22, 2011February 5, 2015
Summit BankPrescottAZ57442The Foothills BankJuly 15, 2011August 19, 2014
First Peoples BankPort St. LucieFL34870Premier American Bank, N.A.July 15, 2011July 12, 2016
High Trust BankStockbridgeGA19554Ameris BankJuly 15, 2011March 21, 2014
One Georgia BankAtlantaGA58238Ameris BankJuly 15, 2011March 21, 2014
Signature BankWindsorCO57835Points West Community BankJuly 8, 2011October 26, 2012
Colorado Capital BankCastle RockCO34522First-Citizens Bank & Trust CompanyJuly 8, 2011November 10, 2016
First Chicago Bank & TrustChicagoIL27935Northbrook Bank & Trust CompanyJuly 8, 2011September 9, 2012
Mountain Heritage BankClaytonGA57593First American Bank and Trust CompanyJune 24, 2011March 21, 2014
First Commercial Bank of Tampa BayTampaFL27583Stonegate BankJune 17, 2011September 12, 2016
McIntosh State BankJacksonGA19237Hamilton State BankJune 17, 2011March 21, 2014
Atlantic Bank and TrustCharlestonSC58420First Citizens Bank and Trust Company, Inc.June 3, 2011March 21, 2014
First Heritage BankSnohomishWA23626Columbia State BankMay 27, 2011January 28, 2013
Summit BankBurlingtonWA513Columbia State BankMay 20, 2011January 22, 2013
First Georgia Banking CompanyFranklinGA57647CertusBank, National AssociationMay 20, 2011March 21, 2014
Atlantic Southern BankMaconGA57213CertusBank, National AssociationMay 20, 2011March 21, 2014
Coastal BankCocoa BeachFL34898Florida Community Bank, a division of Premier American Bank, N.A.May 6, 2011September 21, 2015
Community Central BankMount ClemensMI34234Talmer Bank & TrustApril 29, 2011August 16, 2012
The Park Avenue BankValdostaGA19797Bank of the OzarksApril 29, 2011March 21, 2014
First Choice Community BankDallasGA58539Bank of the OzarksApril 29, 2011September 21, 2015
Cortez Community BankBrooksvilleFL57625Florida Community Bank, a division of Premier American Bank, N.A.April 29, 2011August 8, 2016
First National Bank of Central FloridaWinter ParkFL26297Florida Community Bank, a division of Premier American Bank, N.A.April 29, 2011May 4, 2016
Heritage Banking GroupCarthageMS14273Trustmark National BankApril 15, 2011March 21, 2014
Rosemount National BankRosemountMN24099Central BankApril 15, 2011December 7, 2015
Superior BankBirminghamAL17750Superior Bank, National AssociationApril 15, 2011March 21, 2014
Nexity BankBirminghamAL19794AloStar Bank of CommerceApril 15, 2011March 21, 2014
New Horizons BankEast EllijayGA57705Citizens South BankApril 15, 2011March 21, 2014
Bartow County BankCartersvilleGA21495Hamilton State BankApril 15, 2011March 21, 2014
Nevada Commerce BankLas VegasNV35418City National BankApril 8, 2011September 9, 2012
Western Springs National Bank and TrustWestern SpringsIL10086Heartland Bank and Trust CompanyApril 8, 2011January 22, 2013
The Bank of CommerceWood DaleIL34292Advantage National Bank GroupMarch 25, 2011January 22, 2013
Legacy BankMilwaukeeWI34818Seaway Bank and Trust CompanyMarch 11, 2011September 12, 2012
First National Bank of DavisDavisOK4077The Pauls Valley National BankMarch 11, 2011August 20, 2012
Valley Community BankSt. CharlesIL34187First State BankFebruary 25, 2011February 5, 2015
San Luis Trust Bank, FSBSan Luis ObispoCA34783First California BankFebruary 18, 2011September 12, 2016
Charter Oak BankNapaCA57855Bank of MarinFebruary 18, 2011September 12, 2012
Citizens Bank of EffinghamSpringfieldGA34601Heritage Bank of the SouthFebruary 18, 2011March 21, 2014
Habersham BankClarkesvilleGA151SCBT National AssociationFebruary 18, 2011March 21, 2014
Canyon National BankPalm SpringsCA34692Pacific Premier BankFebruary 11, 2011August 19, 2014
Badger State BankCassvilleWI13272Royal BankFebruary 11, 2011September 12, 2012
Peoples State BankHamtramckMI14939First Michigan BankFebruary 11, 2011January 22, 2013
Sunshine State Community BankPort OrangeFL35478Premier American Bank, N.A.February 11, 2011August 8, 2016
Community First Bank ChicagoChicagoIL57948Northbrook Bank & Trust CompanyFebruary 4, 2011August 20, 2012
North Georgia BankWatkinsvilleGA35242BankSouthFebruary 4, 2011March 21, 2014
American Trust BankRoswellGA57432Renasant BankFebruary 4, 2011March 21, 2014
First Community BankTaosNM12261U.S. Bank, N.A.January 28, 2011September 12, 2012
FirsTier BankLouisvilleCO57646No AcquirerJanuary 28, 2011September 12, 2012
Evergreen State BankStoughtonWI5328McFarland State BankJanuary 28, 2011September 12, 2012
The First State BankCamargoOK2303Bank 7January 28, 2011September 12, 2012
United Western BankDenverCO31293First-Citizens Bank & Trust CompanyJanuary 21, 2011September 12, 2012
The Bank of AshevilleAshevilleNC34516First BankJanuary 21, 2011March 21, 2014
CommunitySouth Bank & TrustEasleySC57868CertusBank, National AssociationJanuary 21, 2011June 6, 2016
Enterprise Banking CompanyMcDonoughGA19758No AcquirerJanuary 21, 2011March 21, 2014
Oglethorpe BankBrunswickGA57440Bank of the OzarksJanuary 14, 2011March 21, 2014
Legacy BankScottsdaleAZ57820Enterprise Bank & TrustJanuary 7, 2011April 12, 2016
First Commercial Bank of FloridaOrlandoFL34965First Southern BankJanuary 7, 2011June 6, 2016
Community National BankLino LakesMN23306Farmers & Merchants Savings BankDecember 17, 2010November 10, 2016
First Southern BankBatesvilleAR58052Southern BankDecember 17, 2010August 20, 2012
United Americas Bank, N.A.AtlantaGA35065State Bank and Trust CompanyDecember 17, 2010October 17, 2015
Appalachian Community Bank, FSBMcCaysvilleGA58495Peoples Bank of East TennesseeDecember 17, 2010March 21, 2014
Chestatee State BankDawsonvilleGA34578Bank of the OzarksDecember 17, 2010September 21, 2015
The Bank of Miami,N.A.Coral GablesFL190401st United BankDecember 17, 2010March 21, 2014
Earthstar BankSouthamptonPA35561Polonia BankDecember 10, 2010August 20, 2012
Paramount BankFarmington HillsMI34673Level One BankDecember 10, 2010September 21, 2015
First Banking CenterBurlingtonWI5287First Michigan BankNovember 19, 2010August 20, 2012
Allegiance Bank of North AmericaBala CynwydPA35078VIST BankNovember 19, 2010August 20, 2012
Gulf State Community BankCarrabelleFL20340Centennial BankNovember 19, 2010March 21, 2014
Copper Star BankScottsdaleAZ35463Stearns Bank, N.A.November 12, 2010August 20, 2012
Darby Bank & Trust Co.VidaliaGA14580Ameris BankNovember 12, 2010March 21, 2014
Tifton Banking CompanyTiftonGA57831Ameris BankNovember 12, 2010March 21, 2014
First Vietnamese American Bank
+ In Vietnamese		WestminsterCA57885Grandpoint BankNovember 5, 2010September 12, 2012
Pierce Commercial BankTacomaWA34411Heritage BankNovember 5, 2010October 19, 2015
Western Commercial BankWoodland HillsCA58087First California BankNovember 5, 2010September 12, 2016
K BankRandallstownMD31263Manufacturers and Traders Trust Company (M&T Bank)November 5, 2010August 20, 2012
First Arizona Savings, A FSBScottsdaleAZ32582No AcquirerOctober 22, 2010August 20, 2012
Hillcrest BankOverland ParkKS22173Hillcrest Bank, N.A.October 22, 2010August 20, 2012
First Suburban National BankMaywoodIL16089Seaway Bank and Trust CompanyOctober 22, 2010August 20, 2012
The First National Bank of BarnesvilleBarnesvilleGA2119United BankOctober 22, 2010October 17, 2015
The Gordon BankGordonGA33904Morris BankOctober 22, 2010March 21, 2014
Progress Bank of FloridaTampaFL32251Bay Cities BankOctober 22, 2010February 4, 2016
First Bank of JacksonvilleJacksonvilleFL27573Ameris BankOctober 22, 2010March 21, 2014
Premier BankJefferson CityMO34016Providence BankOctober 15, 2010August 20, 2012
WestBridge Bank and Trust CompanyChesterfieldMO58205Midland States BankOctober 15, 2010August 20, 2012
Security Savings Bank, F.S.B.OlatheKS30898Simmons First National BankOctober 15, 2010August 20, 2012
Shoreline BankShorelineWA35250GBC International BankOctober 1, 2010August 20, 2012
Wakulla BankCrawfordvilleFL21777Centennial BankOctober 1, 2010March 21, 2014
North County BankArlingtonWA35053Whidbey Island BankSeptember 24, 2010April 12, 2016
Haven Trust Bank FloridaPonte Vedra BeachFL58308First Southern BankSeptember 24, 2010July 11, 2016
Maritime Savings BankWest AllisWI28612North Shore Bank, FSBSeptember 17, 2010August 20, 2012
Bramble Savings BankMilfordOH27808Foundation BankSeptember 17, 2010August 20, 2012
The Peoples BankWinderGA182Community & Southern BankSeptember 17, 2010May 4, 2016
First Commerce Community BankDouglasvilleGA57448Community & Southern BankSeptember 17, 2010May 4, 2016
Bank of EllijayEllijayGA58197Community & Southern BankSeptember 17, 2010June 6, 2016
ISN BankCherry HillNJ57107Customers BankSeptember 17, 2010August 22, 2012
Horizon BankBradentonFL35061Bank of the OzarksSeptember 10, 2010March 21, 2014
Sonoma Valley BankSonomaCA27259Westamerica BankAugust 20, 2010September 12, 2012
Los Padres BankSolvangCA32165Pacific Western BankAugust 20, 2010September 12, 2012
Butte Community BankChicoCA33219Rabobank, N.A.August 20, 2010September 12, 2012
Pacific State BankStocktonCA27090Rabobank, N.A.August 20, 2010September 12, 2012
ShoreBankChicagoIL15640Urban Partnership BankAugust 20, 2010May 16, 2013
Imperial Savings and Loan AssociationMartinsvilleVA31623River Community Bank, N.A.August 20, 2010August 24, 2012
Independent National BankOcalaFL27344CenterState Bank of Florida, N.A.August 20, 2010October 20, 2016
Community National Bank at BartowBartowFL25266CenterState Bank of Florida, N.A.August 20, 2010July 11, 2016
Palos Bank and Trust CompanyPalos HeightsIL17599First Midwest BankAugust 13, 2010August 22, 2012
Ravenswood BankChicagoIL34231Northbrook Bank & Trust CompanyAugust 6, 2010August 22, 2012
LibertyBankEugeneOR31964Home Federal BankJuly 30, 2010August 22, 2012
The Cowlitz BankLongviewWA22643Heritage BankJuly 30, 2010August 22, 2012
Coastal Community BankPanama City BeachFL9619Centennial BankJuly 30, 2010March 21, 2014
Bayside Savings BankPort Saint JoeFL57669Centennial BankJuly 30, 2010March 21, 2014
Northwest Bank & TrustAcworthGA57658State Bank and Trust CompanyJuly 30, 2010September 21, 2015
Home Valley BankCave JunctionOR23181South Valley Bank & TrustJuly 23, 2010September 12, 2012
SouthwestUSA BankLas VegasNV35434Plaza BankJuly 23, 2010August 22, 2012
Community Security BankNew PragueMN34486RoundbankJuly 23, 2010February 4, 2016
Thunder BankSylvan GroveKS10506The Bennington State BankJuly 23, 2010September 13, 2012
Williamsburg First National BankKingstreeSC17837First Citizens Bank and Trust Company, Inc.July 23, 2010October 20, 2016
Crescent Bank and Trust CompanyJasperGA27559Renasant BankJuly 23, 2010March 21, 2014
Sterling BankLantanaFL32536IBERIABANKJuly 23, 2010March 21, 2014
Mainstreet Savings Bank, FSBHastingsMI28136Commercial BankJuly 16, 2010September 13, 2012
Olde Cypress Community BankClewistonFL28864CenterState Bank of Florida, N.A.July 16, 2010July 11, 2016
Turnberry BankAventuraFL32280NAFH National BankJuly 16, 2010September 12, 2016
Metro Bank of Dade CountyMiamiFL25172NAFH National BankJuly 16, 2010August 8, 2016
First National Bank of the SouthSpartanburgSC35383NAFH National BankJuly 16, 2010March 21, 2014
Woodlands BankBlufftonSC32571Bank of the OzarksJuly 16, 2010September 21, 2015
Home National BankBlackwellOK11636RCB BankJuly 9, 2010December 10, 2012
USA BankPort ChesterNY58072New Century BankJuly 9, 2010September 14, 2012
Ideal Federal Savings BankBaltimoreMD32456No AcquirerJuly 9, 2010May 8, 2015
Bay National BankBaltimoreMD35462Bay Bank, FSBJuly 9, 2010January 15, 2013
High Desert State BankAlbuquerqueNM35279First American BankJune 25, 2010September 14, 2012
First National BankSavannahGA34152The Savannah Bank, N.A.June 25, 2010March 21, 2014
Peninsula BankEnglewoodFL26563Premier American Bank, N.A.June 25, 2010March 21, 2014
Nevada Security BankRenoNV57110Umpqua BankJune 18, 2010August 23, 2012
Washington First International BankSeattleWA32955East West BankJune 11, 2010September 14, 2012
TierOne BankLincolnNE29341Great Western BankJune 4, 2010September 14, 2012
Arcola Homestead Savings BankArcolaIL31813No AcquirerJune 4, 2010May 8, 2015
First National BankRosedaleMS15814The Jefferson BankJune 4, 2010March 21, 2014
Sun West BankLas VegasNV34785City National BankMay 28, 2010September 14, 2012
Granite Community Bank, NAGranite BayCA57315Tri Counties BankMay 28, 2010September 14, 2012
Bank of Florida - TampaTampaFL57814EverBankMay 28, 2010August 8, 2016
Bank of Florida - SouthwestNaplesFL35106EverBankMay 28, 2010August 8, 2016
Bank of Florida - SoutheastFort LauderdaleFL57360EverBankMay 28, 2010August 8, 2016
Pinehurst BankSaint PaulMN57735Coulee BankMay 21, 2010October 26, 2012
Midwest Bank and Trust CompanyElmwood ParkIL18117FirstMerit Bank, N.A.May 14, 2010August 23, 2012
Southwest Community BankSpringfieldMO34255Simmons First National BankMay 14, 2010February 4, 2016
New Liberty BankPlymouthMI35586Bank of Ann ArborMay 14, 2010August 23, 2012
Satilla Community BankSaint MarysGA35114Ameris BankMay 14, 2010March 21, 2014
1st Pacific Bank of CaliforniaSan DiegoCA35517City National BankMay 7, 2010December 13, 2012
Towne Bank of ArizonaMesaAZ57697Commerce Bank of ArizonaMay 7, 2010August 23, 2012
Access BankChamplinMN16476PrinsBankMay 7, 2010February 5, 2015
The Bank of BonifayBonifayFL14246First Federal Bank of FloridaMay 7, 2010November 5, 2012
Frontier BankEverettWA22710Union Bank, N.A.April 30, 2010January 15, 2013
BC National BanksButlerMO17792Community First BankApril 30, 2010August 23, 2012
Champion BankCreve CoeurMO58362BankLibertyApril 30, 2010June 6, 2016
CF BancorpPort HuronMI30005First Michigan BankApril 30, 2010April 13, 2016
Westernbank Puerto Rico
+ En Espanol		MayaguezPR31027Banco Popular de Puerto RicoApril 30, 2010March 21, 2014
R-G Premier Bank of Puerto Rico
+ En Espanol		Hato ReyPR32185Scotiabank de Puerto RicoApril 30, 2010August 5, 2015
Eurobank
+ En Espanol		San JuanPR27150Oriental Bank and TrustApril 30, 2010March 21, 2014
Wheatland BankNapervilleIL58429Wheaton Bank & TrustApril 23, 2010August 23, 2012
Peotone Bank and Trust CompanyPeotoneIL10888First Midwest BankApril 23, 2010August 23, 2012
Lincoln Park Savings BankChicagoIL30600Northbrook Bank & Trust CompanyApril 23, 2010August 23, 2012
New Century BankChicagoIL34821MB Financial Bank, N.A.April 23, 2010August 23, 2012
Citizens Bank and Trust Company of ChicagoChicagoIL34658Republic Bank of ChicagoApril 23, 2010June 5, 2014
Broadway BankChicagoIL22853MB Financial Bank, N.A.April 23, 2010August 23, 2012
Amcore Bank, National AssociationRockfordIL3735Harris N.A.April 23, 2010August 23, 2012
City BankLynnwoodWA21521Whidbey Island BankApril 16, 2010September 14, 2012
Tamalpais BankSan RafaelCA33493Union Bank, N.A.April 16, 2010August 23, 2012
Innovative BankOaklandCA23876Center BankApril 16, 2010August 23, 2012
Butler BankLowellMA26619People's United BankApril 16, 2010August 23, 2012
Riverside National Bank of FloridaFort PierceFL24067TD Bank, N.A.April 16, 2010March 21, 2014
AmericanFirst BankClermontFL57724TD Bank, N.A.April 16, 2010March 21, 2014
First Federal Bank of North FloridaPalatkaFL28886TD Bank, N.A.April 16, 2010March 21, 2014
Lakeside Community BankSterling HeightsMI34878No AcquirerApril 16, 2010August 23, 2012
Beach First National BankMyrtle BeachSC34242Bank of North CarolinaApril 9, 2010March 21, 2014
Desert Hills BankPhoenixAZ57060New York Community BankMarch 26, 2010August 23, 2012
Unity National BankCartersvilleGA34678Bank of the OzarksMarch 26, 2010September 21, 2015
Key West BankKey WestFL34684Centennial BankMarch 26, 2010March 21, 2014
McIntosh Commercial BankCarrolltonGA57399CharterBankMarch 26, 2010July 11, 2016
State Bank of AuroraAuroraMN8221Northern State BankMarch 19, 2010August 8, 2016
First Lowndes BankFort DepositAL24957First Citizens BankMarch 19, 2010March 21, 2014
Bank of HiawasseeHiawasseeGA10054Citizens South BankMarch 19, 2010March 21, 2014
Appalachian Community BankEllijayGA33989Community & Southern BankMarch 19, 2010March 21, 2014
Advanta Bank Corp.DraperUT33535No AcquirerMarch 19, 2010March 31, 2016
Century Security BankDuluthGA58104Bank of UpsonMarch 19, 2010April 13, 2016
American National BankParmaOH18806The National Bank and Trust CompanyMarch 19, 2010September 21, 2015
Statewide BankCovingtonLA29561Home BankMarch 12, 2010August 23, 2012
Old Southern BankOrlandoFL58182Centennial BankMarch 12, 2010March 21, 2014
The Park Avenue BankNew YorkNY27096Valley National BankMarch 12, 2010August 23, 2012
LibertyPointe BankNew YorkNY58071Valley National BankMarch 11, 2010August 23, 2012
Centennial BankOgdenUT34430No AcquirerMarch 5, 2010September 14, 2012
Waterfield BankGermantownMD34976No AcquirerMarch 5, 2010August 23, 2012
Bank of IllinoisNormalIL9268Heartland Bank and Trust CompanyMarch 5, 2010August 23, 2012
Sun American BankBoca RatonFL27126First-Citizens Bank & Trust CompanyMarch 5, 2010March 21, 2014
Rainier Pacific BankTacomaWA38129Umpqua BankFebruary 26, 2010August 23, 2012
Carson River Community BankCarson CityNV58352Heritage Bank of NevadaFebruary 26, 2010January 15, 2013
La Jolla Bank, FSBLa JollaCA32423OneWest Bank, FSBFebruary 19, 2010August 24, 2012
George Washington Savings BankOrland ParkIL29952FirstMerit Bank, N.A.February 19, 2010August 24, 2012
The La Coste National BankLa CosteTX3287Community National BankFebruary 19, 2010August 19, 2014
Marco Community BankMarco IslandFL57586Mutual of Omaha BankFebruary 19, 2010March 21, 2014
1st American State Bank of MinnesotaHancockMN15448Community Development Bank, FSBFebruary 5, 2010November 1, 2013
American Marine BankBainbridge IslandWA16730Columbia State BankJanuary 29, 2010August 24, 2012
First Regional BankLos AngelesCA23011First-Citizens Bank & Trust CompanyJanuary 29, 2010March 4, 2016
Community Bank and TrustCorneliaGA5702SCBT National AssociationJanuary 29, 2010April 13, 2016
Marshall Bank, N.A.HallockMN16133United Valley BankJanuary 29, 2010August 23, 2012
Florida Community BankImmokaleeFL5672Premier American Bank, N.A.January 29, 2010March 21, 2014
First National Bank of GeorgiaCarrolltonGA16480Community & Southern BankJanuary 29, 2010March 21, 2014
Columbia River BankThe DallesOR22469Columbia State BankJanuary 22, 2010September 14, 2012
Evergreen BankSeattleWA20501Umpqua BankJanuary 22, 2010January 15, 2013
Charter BankSanta FeNM32498Charter BankJanuary 22, 2010August 23, 2012
Bank of LeetonLeetonMO8265Sunflower Bank, N.A.January 22, 2010January 15, 2013
Premier American BankMiamiFL57147Premier American Bank, N.A.January 22, 2010September 21, 2015
Barnes Banking CompanyKaysvilleUT1252No AcquirerJanuary 15, 2010August 23, 2012
St. Stephen State BankSt. StephenMN17522First State Bank of St. JosephJanuary 15, 2010August 8, 2016
Town Community Bank & TrustAntiochIL34705First American BankJanuary 15, 2010August 23, 2012
Horizon BankBellinghamWA22977Washington Federal Savings and Loan AssociationJanuary 8, 2010August 23, 2012
First Federal Bank of California, F.S.B.Santa MonicaCA28536OneWest Bank, FSBDecember 18, 2009August 23, 2012
Imperial Capital BankLa JollaCA26348City National BankDecember 18, 2009September 5, 2012
Independent Bankers' BankSpringfieldIL26820The Independent BankersBank (TIB)December 18, 2009August 23, 2012
New South Federal Savings BankIrondaleAL32276Beal BankDecember 18, 2009August 23, 2012
Citizens State BankNew BaltimoreMI1006No AcquirerDecember 18, 2009March 21, 2014
Peoples First Community BankPanama CityFL32167Hancock BankDecember 18, 2009November 5, 2012
RockBridge Commercial BankAtlantaGA58315No AcquirerDecember 18, 2009March 21, 2014
SolutionsBankOverland ParkKS4731Arvest BankDecember 11, 2009July 19, 2016
Valley Capital Bank, N.A.MesaAZ58399Enterprise Bank & TrustDecember 11, 2009October 20, 2016
Republic Federal Bank, N.A.MiamiFL228461st United BankDecember 11, 2009March 21, 2014
Greater Atlantic BankRestonVA32583SonabankDecember 4, 2009March 21, 2014
Benchmark BankAuroraIL10440MB Financial Bank, N.A.December 4, 2009August 23, 2012
AmTrust BankClevelandOH29776New York Community BankDecember 4, 2009March 21, 2014
The Tattnall BankReidsvilleGA12080Heritage Bank of the SouthDecember 4, 2009March 21, 2014
First Security National BankNorcrossGA26290State Bank and Trust CompanyDecember 4, 2009October 17, 2015
The Buckhead Community BankAtlantaGA34663State Bank and Trust CompanyDecember 4, 2009March 21, 2014
Commerce Bank of Southwest FloridaFort MyersFL58016Central BankNovember 20, 2009March 21, 2014
Pacific Coast National BankSan ClementeCA57914Sunwest BankNovember 13, 2009August 22, 2012
Orion BankNaplesFL22427IBERIABANKNovember 13, 2009March 21, 2014
Century Bank, F.S.B.SarasotaFL32267IBERIABANKNovember 13, 2009March 21, 2014
United Commercial BankSan FranciscoCA32469East West BankNovember 6, 2009November 5, 2012
Gateway Bank of St. LouisSt. LouisMO19450Central Bank of Kansas CityNovember 6, 2009August 22, 2012
Prosperan BankOakdaleMN35074Alerus Financial, N.A.November 6, 2009August 22, 2012
Home Federal Savings BankDetroitMI30329Liberty Bank and Trust CompanyNovember 6, 2009August 22, 2012
United Security BankSpartaGA22286Ameris BankNovember 6, 2009March 21, 2014
North Houston BankHoustonTX18776U.S. Bank N.A.October 30, 2009August 22, 2012
Madisonville State BankMadisonvilleTX33782U.S. Bank N.A.October 30, 2009August 22, 2012
Citizens National BankTeagueTX25222U.S. Bank N.A.October 30, 2009August 22, 2012
Park National BankChicagoIL11677U.S. Bank N.A.October 30, 2009August 22, 2012
Pacific National BankSan FranciscoCA30006U.S. Bank N.A.October 30, 2009August 22, 2012
California National BankLos AngelesCA34659U.S. Bank N.A.October 30, 2009September 5, 2012
San Diego National BankSan DiegoCA23594U.S. Bank N.A.October 30, 2009August 22, 2012
Community Bank of LemontLemontIL35291U.S. Bank N.A.October 30, 2009January 15, 2013
Bank USA, N.A.PhoenixAZ32218U.S. Bank N.A.October 30, 2009August 22, 2012
First DuPage BankWestmontIL35038First Midwest BankOctober 23, 2009August 22, 2012
Riverview Community BankOtsegoMN57525Central BankOctober 23, 2009August 22, 2012
Bank of ElmwoodRacineWI18321Tri City National BankOctober 23, 2009August 22, 2012
Flagship National BankBradentonFL35044First Federal Bank of FloridaOctober 23, 2009February 5, 2015
Hillcrest Bank FloridaNaplesFL58336Stonegate BankOctober 23, 2009August 22, 2012
American United BankLawrencevilleGA57794Ameris BankOctober 23, 2009September 5, 2012
Partners BankNaplesFL57959Stonegate BankOctober 23, 2009February 5, 2015
San Joaquin BankBakersfieldCA23266Citizens Business BankOctober 16, 2009August 22, 2012
Southern Colorado National BankPuebloCO57263Legacy BankOctober 2, 2009July 19, 2016
Jennings State BankSpring GroveMN11416Central BankOctober 2, 2009August 21, 2012
Warren BankWarrenMI34824The Huntington National BankOctober 2, 2009August 21, 2012
Georgian BankAtlantaGA57151First Citizens Bank and Trust Company, Inc.September 25, 2009August 21, 2012
Irwin Union Bank, F.S.B.LouisvilleKY57068First Financial Bank, N.A.September 18, 2009September 5, 2012
Irwin Union Bank and Trust CompanyColumbusIN10100First Financial Bank, N.A.September 18, 2009August 21, 2012
Venture BankLaceyWA22868First-Citizens Bank & Trust CompanySeptember 11, 2009August 21, 2012
Brickwell Community BankWoodburyMN57736CorTrust Bank N.A.September 11, 2009October 20, 2016
Corus Bank, N.A.ChicagoIL13693MB Financial Bank, N.A.September 11, 2009August 21, 2012
First State BankFlagstaffAZ34875Sunwest BankSeptember 4, 2009February 5, 2015
Platinum Community BankRolling MeadowsIL35030No AcquirerSeptember 4, 2009August 21, 2012
Vantus BankSioux CityIA27732Great Southern BankSeptember 4, 2009August 21, 2012
InBankOak ForestIL20203MB Financial Bank, N.A.September 4, 2009October 17, 2015
First Bank of Kansas CityKansas CityMO25231Great American BankSeptember 4, 2009August 21, 2012
Affinity BankVenturaCA27197Pacific Western BankAugust 28, 2009August 21, 2012
Mainstreet BankForest LakeMN1909Central BankAugust 28, 2009August 21, 2012
Bradford BankBaltimoreMD28312Manufacturers and Traders Trust Company (M&T Bank)August 28, 2009January 15, 2013
Guaranty BankAustinTX32618BBVA CompassAugust 21, 2009August 21, 2012
CapitalSouth BankBirminghamAL22130IBERIABANKAugust 21, 2009January 15, 2013
First Coweta BankNewnanGA57702United BankAugust 21, 2009December 7, 2015
ebankAtlantaGA34682Stearns Bank, N.A.August 21, 2009August 21, 2012
Community Bank of NevadaLas VegasNV34043No AcquirerAugust 14, 2009August 21, 2012
Community Bank of ArizonaPhoenixAZ57645MidFirst BankAugust 14, 2009August 21, 2012
Union Bank, National AssociationGilbertAZ34485MidFirst BankAugust 14, 2009August 21, 2012
Colonial BankMontgomeryAL9609Branch Banking & Trust Company, (BB&T)August 14, 2009June 12, 2014
Dwelling House Savings and Loan AssociationPittsburghPA31559PNC Bank, N.A.August 14, 2009January 15, 2013
Community First BankPrinevilleOR23268Home Federal BankAugust 7, 2009January 15, 2013
Community National Bank of Sarasota CountyVeniceFL27183Stearns Bank, N.A.August 7, 2009August 20, 2012
First State BankSarasotaFL27364Stearns Bank, N.A.August 7, 2009August 20, 2012
Mutual BankHarveyIL18659United Central BankJuly 31, 2009August 20, 2012
First BankAmericanoElizabethNJ34270Crown BankJuly 31, 2009August 20, 2012
Peoples Community BankWest ChesterOH32288First Financial Bank, N.A.July 31, 2009August 20, 2012
Integrity BankJupiterFL57604Stonegate BankJuly 31, 2009August 20, 2012
First State Bank of AltusAltusOK9873Herring BankJuly 31, 2009August 20, 2012
Security Bank of Jones CountyGrayGA8486State Bank and Trust CompanyJuly 24, 2009August 20, 2012
Security Bank of Houston CountyPerryGA27048State Bank and Trust CompanyJuly 24, 2009October 17, 2015
Security Bank of Bibb CountyMaconGA27367State Bank and Trust CompanyJuly 24, 2009August 20, 2012
Security Bank of North MetroWoodstockGA57105State Bank and Trust CompanyJuly 24, 2009January 6, 2016
Security Bank of North FultonAlpharettaGA57430State Bank and Trust CompanyJuly 24, 2009August 20, 2012
Security Bank of Gwinnett CountySuwaneeGA57346State Bank and Trust CompanyJuly 24, 2009August 20, 2012
Waterford Village BankWilliamsvilleNY58065Evans Bank, N.A.July 24, 2009November 1, 2013
Temecula Valley BankTemeculaCA34341First-Citizens Bank & Trust CompanyJuly 17, 2009October 20, 2016
Vineyard BankRancho CucamongaCA23556California Bank & TrustJuly 17, 2009August 20, 2012
BankFirstSioux FallsSD34103Alerus Financial, N.A.July 17, 2009August 20, 2012
First Piedmont BankWinderGA34594First American Bank and Trust CompanyJuly 17, 2009August 8, 2016
Bank of WyomingThermopolisWY22754Central Bank & TrustJuly 10, 2009August 20, 2012
Founders BankWorthIL18390The PrivateBank and Trust CompanyJuly 2, 2009August 20, 2012
Millennium State Bank of TexasDallasTX57667State Bank of TexasJuly 2, 2009October 26, 2012
First National Bank of DanvilleDanvilleIL3644First Financial Bank, N.A.July 2, 2009August 20, 2012
Elizabeth State BankElizabethIL9262Galena State Bank and Trust CompanyJuly 2, 2009August 20, 2012
Rock River BankOregonIL15302The Harvard State BankJuly 2, 2009August 20, 2012
First State Bank of WinchesterWinchesterIL11710The First National Bank of BeardstownJuly 2, 2009August 20, 2012
John Warner BankClintonIL12093State Bank of LincolnJuly 2, 2009August 20, 2012
Mirae BankLos AngelesCA57332Wilshire State BankJune 26, 2009August 20, 2012
MetroPacific BankIrvineCA57893Sunwest BankJune 26, 2009February 5, 2015
Horizon BankPine CityMN9744Stearns Bank, N.A.June 26, 2009February 5, 2015
Neighborhood Community BankNewnanGA35285CharterBankJune 26, 2009December 7, 2015
Community Bank of West GeorgiaVilla RicaGA57436No AcquirerJune 26, 2009August 17, 2012
First National Bank of AnthonyAnthonyKS4614Bank of KansasJune 19, 2009September 21, 2015
Cooperative BankWilmingtonNC27837First BankJune 19, 2009August 17, 2012
Southern Community BankFayettevilleGA35251United Community BankJune 19, 2009September 21, 2015
Bank of LincolnwoodLincolnwoodIL17309Republic Bank of ChicagoJune 5, 2009August 17, 2012
Citizens National BankMacombIL5757Morton Community BankMay 22, 2009September 4, 2012
Strategic Capital BankChampaignIL35175Midland States BankMay 22, 2009September 4, 2012
BankUnited, FSBCoral GablesFL32247BankUnitedMay 21, 2009August 17, 2012
Westsound BankBremertonWA34843Kitsap BankMay 8, 2009September 4, 2012
America West BankLaytonUT35461Cache Valley BankMay 1, 2009August 17, 2012
Citizens Community BankRidgewoodNJ57563North Jersey Community BankMay 1, 2009September 4, 2012
Silverton Bank, NAAtlantaGA26535No AcquirerMay 1, 2009August 17, 2012
First Bank of IdahoKetchumID34396U.S. Bank, N.A.April 24, 2009August 17, 2012
First Bank of Beverly HillsCalabasasCA32069No AcquirerApril 24, 2009September 4, 2012
Michigan Heritage BankFarmington HillsMI34369Level One BankApril 24, 2009August 17, 2012
American Southern BankKennesawGA57943Bank of North GeorgiaApril 24, 2009August 17, 2012
Great Basin Bank of NevadaElkoNV33824Nevada State BankApril 17, 2009September 4, 2012
American Sterling BankSugar CreekMO8266Metcalf BankApril 17, 2009August 31, 2012
New Frontier BankGreeleyCO34881No AcquirerApril 10, 2009September 4, 2012
Cape Fear BankWilmingtonNC34639First Federal Savings and Loan AssociationApril 10, 2009April 12, 2016
Omni National BankAtlantaGA22238No AcquirerMarch 27, 2009August 17, 2012
TeamBank, NAPaolaKS4754Great Southern BankMarch 20, 2009September 12, 2016
Colorado National BankColorado SpringsCO18896Herring BankMarch 20, 2009August 17, 2012
FirstCity BankStockbridgeGA18243No AcquirerMarch 20, 2009August 17, 2012
Freedom Bank of GeorgiaCommerceGA57558Northeast Georgia BankMarch 6, 2009August 17, 2012
Security Savings BankHendersonNV34820Bank of NevadaFebruary 27, 2009September 7, 2012
Heritage Community BankGlenwoodIL20078MB Financial Bank, N.A.February 27, 2009August 17, 2012
Silver Falls BankSilvertonOR35399Citizens BankFebruary 20, 2009August 17, 2012
Pinnacle Bank of OregonBeavertonOR57342Washington Trust Bank of SpokaneFebruary 13, 2009December 7, 2015
Corn Belt Bank & Trust Co.PittsfieldIL16500The Carlinville National BankFebruary 13, 2009August 17, 2012
Riverside Bank of the Gulf CoastCape CoralFL34563TIB BankFebruary 13, 2009August 17, 2012
Sherman County BankLoup CityNE5431Heritage BankFebruary 13, 2009August 17, 2012
County BankMercedCA22574Westamerica BankFebruary 6, 2009September 4, 2012
Alliance BankCulver CityCA23124California Bank & TrustFebruary 6, 2009August 16, 2012
FirstBank Financial ServicesMcDonoughGA57017Regions BankFebruary 6, 2009August 16, 2012
Ocala National BankOcalaFL26538CenterState Bank of Florida, N.A.January 30, 2009September 4, 2012
Suburban FSBCroftonMD30763Bank of EssexJanuary 30, 2009February 4, 2016
MagnetBankSalt Lake CityUT58001No AcquirerJanuary 30, 2009August 16, 2012
1st Centennial BankRedlandsCA33025First California BankJanuary 23, 2009April 13, 2016
Bank of Clark CountyVancouverWA34959Umpqua BankJanuary 16, 2009August 16, 2012
National Bank of CommerceBerkeleyIL19733Republic Bank of ChicagoJanuary 16, 2009August 16, 2012
Sanderson State Bank
+ En Espanol		SandersonTX11568The Pecos County State BankDecember 12, 2008October 25, 2013
Haven Trust BankDuluthGA35379Branch Banking & Trust Company, (BB&T)December 12, 2008August 16, 2012
First Georgia Community BankJacksonGA34301United BankDecember 5, 2008August 16, 2012
PFF Bank & TrustPomonaCA28344U.S. Bank, N.A.November 21, 2008January 4, 2013
Downey Savings & LoanNewport BeachCA30968U.S. Bank, N.A.November 21, 2008January 4, 2013
Community BankLoganvilleGA16490Bank of EssexNovember 21, 2008September 4, 2012
Security Pacific BankLos AngelesCA23595Pacific Western BankNovember 7, 2008August 28, 2012
Franklin Bank, SSBHoustonTX26870Prosperity BankNovember 7, 2008August 16, 2012
Freedom BankBradentonFL57930Fifth Third BankOctober 31, 2008August 16, 2012
Alpha Bank & TrustAlpharettaGA58241Stearns Bank, N.A.October 24, 2008August 16, 2012
Meridian BankEldredIL13789National BankOctober 10, 2008May 31, 2012
Main Street BankNorthvilleMI57654Monroe Bank & TrustOctober 10, 2008August 1, 2013
Washington Mutual Bank
+ (Including its subsidiary Washington Mutual Bank FSB)		HendersonNV32633JP Morgan Chase BankSeptember 25, 2008August 4, 2015
AmeribankNorthforkWV6782The Citizens Savings Bank
+
+ Pioneer Community Bank, Inc.		September 19, 2008September 21, 2015
Silver State Bank
+ En Espanol		HendersonNV34194Nevada State BankSeptember 5, 2008October 25, 2013
Integrity BankAlpharettaGA35469Regions BankAugust 29, 2008August 16, 2012
Columbian Bank & TrustTopekaKS22728Citizens Bank & TrustAugust 22, 2008March 26, 2015
First Priority BankBradentonFL57523SunTrust BankAugust 1, 2008March 26, 2015
First Heritage Bank, NANewport BeachCA57961Mutual of Omaha BankJuly 25, 2008September 12, 2016
First National Bank of NevadaRenoNV27011Mutual of Omaha BankJuly 25, 2008August 28, 2012
IndyMac BankPasadenaCA29730OneWest Bank, FSBJuly 11, 2008April 22, 2015
First Integrity Bank, NAStaplesMN12736First International Bank and TrustMay 30, 2008October 20, 2016
ANB Financial, NABentonvilleAR33901Pulaski Bank and Trust CompanyMay 9, 2008August 28, 2012
Hume BankHumeMO1971Security BankMarch 7, 2008August 28, 2012
Douglass National BankKansas CityMO24660Liberty Bank and Trust CompanyJanuary 25, 2008October 26, 2012
Miami Valley BankLakeviewOH16848The Citizens Banking CompanyOctober 4, 2007September 12, 2016
NetBankAlpharettaGA32575ING DIRECTSeptember 28, 2007August 28, 2012
Metropolitan Savings BankPittsburghPA35353Allegheny Valley Bank of PittsburghFebruary 2, 2007October 27, 2010
Bank of EphraimEphraimUT1249Far West BankJune 25, 2004April 9, 2008
Reliance BankWhite PlainsNY26778Union State BankMarch 19, 2004April 9, 2008
Guaranty National Bank of TallahasseeTallahasseeFL26838Hancock Bank of FloridaMarch 12, 2004June 5, 2012
Dollar Savings BankNewarkNJ31330No AcquirerFebruary 14, 2004April 9, 2008
Pulaski Savings BankPhiladelphiaPA27203Earthstar BankNovember 14, 2003July 22, 2005
First National Bank of BlanchardvilleBlanchardvilleWI11639The Park BankMay 9, 2003June 5, 2012
Southern Pacific BankTorranceCA27094Beal BankFebruary 7, 2003October 20, 2008
Farmers Bank of CheneyvilleCheneyvilleLA16445Sabine State Bank & TrustDecember 17, 2002October 20, 2004
Bank of AlamoAlamoTN9961No AcquirerNovember 8, 2002March 18, 2005
AmTrade International Bank
+ En Espanol		AtlantaGA33784No AcquirerSeptember 30, 2002September 11, 2006
Universal Federal Savings BankChicagoIL29355Chicago Community BankJune 27, 2002April 9, 2008
Connecticut Bank of CommerceStamfordCT19183Hudson United BankJune 26, 2002February 14, 2012
New Century BankShelby TownshipMI34979No AcquirerMarch 28, 2002March 18, 2005
Net 1st National BankBoca RatonFL26652Bank Leumi USAMarch 1, 2002April 9, 2008
NextBank, NAPhoenixAZ22314No AcquirerFebruary 7, 2002February 5, 2015
Oakwood Deposit Bank Co.OakwoodOH8966The State Bank & Trust CompanyFebruary 1, 2002October 25, 2012
Bank of Sierra BlancaSierra BlancaTX22002The Security State Bank of PecosJanuary 18, 2002November 6, 2003
Hamilton Bank, NA
+ En Espanol		MiamiFL24382Israel Discount Bank of New YorkJanuary 11, 2002September 21, 2015
Sinclair National BankGravetteAR34248Delta Trust & BankSeptember 7, 2001February 10, 2004
Superior Bank, FSBHinsdaleIL32646Superior Federal, FSBJuly 27, 2001August 19, 2014
Malta National BankMaltaOH6629North Valley BankMay 3, 2001November 18, 2002
First Alliance Bank & Trust Co.ManchesterNH34264Southern New Hampshire Bank & TrustFebruary 2, 2001February 18, 2003
National State Bank of MetropolisMetropolisIL3815Banterra Bank of MarionDecember 14, 2000March 17, 2005
Bank of HonoluluHonoluluHI21029Bank of the OrientOctober 13, 2000March 17, 2005
Showing 1 to 547 of 547 entries
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Last Updated 11/17/2016
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+ + +Skip Footer back to content + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/ch03/ipython_bug.py b/examples/ipython_bug.py similarity index 100% rename from ch03/ipython_bug.py rename to examples/ipython_bug.py diff --git a/examples/macrodata.csv b/examples/macrodata.csv new file mode 100644 index 000000000..13597fdfd --- /dev/null +++ b/examples/macrodata.csv @@ -0,0 +1,204 @@ +year,quarter,realgdp,realcons,realinv,realgovt,realdpi,cpi,m1,tbilrate,unemp,pop,infl,realint +1959,1,2710.349,1707.4,286.898,470.045,1886.9,28.98,139.7,2.82,5.8,177.146,0.0,0.0 +1959,2,2778.801,1733.7,310.859,481.301,1919.7,29.15,141.7,3.08,5.1,177.83,2.34,0.74 +1959,3,2775.488,1751.8,289.226,491.26,1916.4,29.35,140.5,3.82,5.3,178.657,2.74,1.09 +1959,4,2785.204,1753.7,299.356,484.052,1931.3,29.37,140.0,4.33,5.6,179.386,0.27,4.06 +1960,1,2847.699,1770.5,331.722,462.199,1955.5,29.54,139.6,3.5,5.2,180.007,2.31,1.19 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diff --git a/ch13/segismundo.txt b/examples/segismundo.txt similarity index 100% rename from ch13/segismundo.txt rename to examples/segismundo.txt diff --git a/ch08/spx.csv b/examples/spx.csv similarity index 99% rename from ch08/spx.csv rename to examples/spx.csv index 229626a1c..02ca90a0b 100644 --- a/ch08/spx.csv +++ b/examples/spx.csv @@ -1,4 +1,4 @@ -,SPX +Date,SPX 1990-02-01 00:00:00,328.79 1990-02-02 00:00:00,330.92 1990-02-05 00:00:00,331.85 diff --git a/ch03/stinkbug.png b/examples/stinkbug.png similarity index 100% rename from ch03/stinkbug.png rename to examples/stinkbug.png diff --git a/ch09/stock_px.csv b/examples/stock_px.csv similarity index 100% rename from ch09/stock_px.csv rename to examples/stock_px.csv diff --git a/ch06/test_file.csv b/examples/test_file.csv similarity index 100% rename from ch06/test_file.csv rename to examples/test_file.csv diff --git a/examples/tips.csv b/examples/tips.csv new file mode 100644 index 000000000..ee9be5ffa --- /dev/null +++ b/examples/tips.csv @@ -0,0 +1,245 @@ +total_bill,tip,smoker,day,time,size +16.99,1.01,No,Sun,Dinner,2 +10.34,1.66,No,Sun,Dinner,3 +21.01,3.5,No,Sun,Dinner,3 +23.68,3.31,No,Sun,Dinner,2 +24.59,3.61,No,Sun,Dinner,4 +25.29,4.71,No,Sun,Dinner,4 +8.77,2.0,No,Sun,Dinner,2 +26.88,3.12,No,Sun,Dinner,4 +15.04,1.96,No,Sun,Dinner,2 +14.78,3.23,No,Sun,Dinner,2 +10.27,1.71,No,Sun,Dinner,2 +35.26,5.0,No,Sun,Dinner,4 +15.42,1.57,No,Sun,Dinner,2 +18.43,3.0,No,Sun,Dinner,4 +14.83,3.02,No,Sun,Dinner,2 +21.58,3.92,No,Sun,Dinner,2 +10.33,1.67,No,Sun,Dinner,3 +16.29,3.71,No,Sun,Dinner,3 +16.97,3.5,No,Sun,Dinner,3 +20.65,3.35,No,Sat,Dinner,3 +17.92,4.08,No,Sat,Dinner,2 +20.29,2.75,No,Sat,Dinner,2 +15.77,2.23,No,Sat,Dinner,2 +39.42,7.58,No,Sat,Dinner,4 +19.82,3.18,No,Sat,Dinner,2 +17.81,2.34,No,Sat,Dinner,4 +13.37,2.0,No,Sat,Dinner,2 +12.69,2.0,No,Sat,Dinner,2 +21.7,4.3,No,Sat,Dinner,2 +19.65,3.0,No,Sat,Dinner,2 +9.55,1.45,No,Sat,Dinner,2 +18.35,2.5,No,Sat,Dinner,4 +15.06,3.0,No,Sat,Dinner,2 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cmte_idcand_idcand_nmcontbr_nmcontbr_city...receipt_descmemo_cdmemo_textform_tpfile_num
0 C00410118 P20002978 Bachmann, Michelle HARVEY, WILLIAM MOBILE... NaN NaN NaN SA17A 736166
1 C00410118 P20002978 Bachmann, Michelle HARVEY, WILLIAM MOBILE... NaN NaN NaN SA17A 736166
2 C00410118 P20002978 Bachmann, Michelle SMITH, LANIER LANETT... NaN NaN NaN SA17A 749073
3 C00410118 P20002978 Bachmann, Michelle BLEVINS, DARONDA PIGGOTT... NaN NaN NaN SA17A 749073
4 C00410118 P20002978 Bachmann, Michelle WARDENBURG, HAROLD HOT SPRINGS NATION... NaN NaN NaN SA17A 736166
5 C00410118 P20002978 Bachmann, Michelle BECKMAN, JAMES SPRINGDALE... NaN NaN NaN SA17A 736166
6 C00410118 P20002978 Bachmann, Michelle BLEVINS, DARONDA PIGGOTT... NaN NaN NaN SA17A 736166
....................................
1001724 C00500587 P20003281 Perry, Rick HEFFERNAN, JILL PRINCE MRS. INFO REQUESTED... NaN NaN NaN SA17A 751678
1001725 C00500587 P20003281 Perry, Rick ELWOOD, MIKE MR. INFO REQUESTED... NaN NaN NaN SA17A 751678
1001726 C00500587 P20003281 Perry, Rick GORMAN, CHRIS D. MR. INFO REQUESTED... REATTRIBUTION / REDESIGNATION REQUESTED (AUTOM... NaN REATTRIBUTION / REDESIGNATION REQUESTED (AUTOM... SA17A 751678
1001727 C00500587 P20003281 Perry, Rick DUFFY, DAVID A. MR. INFO REQUESTED... NaN NaN NaN SA17A 751678
1001728 C00500587 P20003281 Perry, Rick GRANE, BRYAN F. MR. INFO REQUESTED... NaN NaN NaN SA17A 751678
1001729 C00500587 P20003281 Perry, Rick TOLBERT, DARYL MR. INFO REQUESTED... NaN NaN NaN SA17A 751678
1001730 C00500587 P20003281 Perry, Rick ANDERSON, MARILEE MRS. INFO REQUESTED... NaN NaN NaN SA17A 751678
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" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 6, - "text": [ - " cmte_id cand_id cand_nm \\\n", - "0 C00410118 P20002978 Bachmann, Michelle \n", - "1 C00410118 P20002978 Bachmann, Michelle \n", - "2 C00410118 P20002978 Bachmann, Michelle \n", - "3 C00410118 P20002978 Bachmann, Michelle \n", - "4 C00410118 P20002978 Bachmann, Michelle \n", - "5 C00410118 P20002978 Bachmann, Michelle \n", - "6 C00410118 P20002978 Bachmann, Michelle \n", - "... ... ... ... \n", - "1001724 C00500587 P20003281 Perry, Rick \n", - "1001725 C00500587 P20003281 Perry, Rick \n", - "1001726 C00500587 P20003281 Perry, Rick \n", - "1001727 C00500587 P20003281 Perry, Rick \n", - "1001728 C00500587 P20003281 Perry, Rick \n", - "1001729 C00500587 P20003281 Perry, Rick \n", - "1001730 C00500587 P20003281 Perry, Rick \n", - "\n", - " contbr_nm contbr_city ... \\\n", - "0 HARVEY, WILLIAM MOBILE ... \n", - "1 HARVEY, WILLIAM MOBILE ... \n", - "2 SMITH, LANIER LANETT ... \n", - "3 BLEVINS, DARONDA PIGGOTT ... \n", - "4 WARDENBURG, HAROLD HOT SPRINGS NATION ... \n", - "5 BECKMAN, JAMES SPRINGDALE ... \n", - "6 BLEVINS, DARONDA PIGGOTT ... \n", - "... ... ... ... \n", - "1001724 HEFFERNAN, JILL PRINCE MRS. INFO REQUESTED ... \n", - "1001725 ELWOOD, MIKE MR. INFO REQUESTED ... \n", - "1001726 GORMAN, CHRIS D. MR. INFO REQUESTED ... \n", - "1001727 DUFFY, DAVID A. MR. INFO REQUESTED ... \n", - "1001728 GRANE, BRYAN F. MR. INFO REQUESTED ... \n", - "1001729 TOLBERT, DARYL MR. INFO REQUESTED ... \n", - "1001730 ANDERSON, MARILEE MRS. INFO REQUESTED ... \n", - "\n", - " receipt_desc memo_cd \\\n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "5 NaN NaN \n", - "6 NaN NaN \n", - "... ... ... \n", - "1001724 NaN NaN \n", - "1001725 NaN NaN \n", - "1001726 REATTRIBUTION / REDESIGNATION REQUESTED (AUTOM... NaN \n", - "1001727 NaN NaN \n", - "1001728 NaN NaN \n", - "1001729 NaN NaN \n", - "1001730 NaN NaN \n", - "\n", - " memo_text form_tp file_num \n", - "0 NaN SA17A 736166 \n", - "1 NaN SA17A 736166 \n", - "2 NaN SA17A 749073 \n", - "3 NaN SA17A 749073 \n", - "4 NaN SA17A 736166 \n", - "5 NaN SA17A 736166 \n", - "6 NaN SA17A 736166 \n", - "... ... ... ... \n", - "1001724 NaN SA17A 751678 \n", - "1001725 NaN SA17A 751678 \n", - "1001726 REATTRIBUTION / REDESIGNATION REQUESTED (AUTOM... SA17A 751678 \n", - "1001727 NaN SA17A 751678 \n", - "1001728 NaN SA17A 751678 \n", - "1001729 NaN SA17A 751678 \n", - "1001730 NaN SA17A 751678 \n", - "\n", - "[1001731 rows x 16 columns]" - ] - } - ], - "prompt_number": 6 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fec.ix[123456]" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 7, - "text": [ - "cmte_id C00431445\n", - "cand_id P80003338\n", - "cand_nm Obama, Barack\n", - "contbr_nm ELLMAN, IRA\n", - "contbr_city TEMPE\n", - "...\n", - "contb_receipt_dt 01-DEC-11\n", - "receipt_desc NaN\n", - "memo_cd NaN\n", - "memo_text NaN\n", - "form_tp SA17A\n", - "file_num 772372\n", - "Name: 123456, Length: 16, dtype: object" - ] - } - ], - "prompt_number": 7 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "unique_cands = fec.cand_nm.unique()\n", - "unique_cands\n", - "unique_cands[2]" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 8, - "text": [ - "'Obama, Barack'" - ] - } - ], - "prompt_number": 8 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "parties = {'Bachmann, Michelle': 'Republican',\n", - " 'Cain, Herman': 'Republican',\n", - " 'Gingrich, Newt': 'Republican',\n", - " 'Huntsman, Jon': 'Republican',\n", - " 'Johnson, Gary Earl': 'Republican',\n", - " 'McCotter, Thaddeus G': 'Republican',\n", - " 'Obama, Barack': 'Democrat',\n", - " 'Paul, Ron': 'Republican',\n", - " 'Pawlenty, Timothy': 'Republican',\n", - " 'Perry, Rick': 'Republican',\n", - " \"Roemer, Charles E. 'Buddy' III\": 'Republican',\n", - " 'Romney, Mitt': 'Republican',\n", - " 'Santorum, Rick': 'Republican'}" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 9 - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "parties = {'Bachmann, Michelle': 'Republican',\n", - " 'Cain, Herman': 'Republican',\n", - " 'Gingrich, Newt': 'Republican',\n", - " 'Huntsman, Jon': 'Republican',\n", - " 'Johnson, Gary Earl': 'Republican',\n", - " 'McCotter, Thaddeus G': 'Republican',\n", - " 'Obama, Barack': 'Democrat',\n", - " 'Paul, Ron': 'Republican',\n", - " 'Pawlenty, Timothy': 'Republican',\n", - " 'Perry, Rick': 'Republican',\n", - " \"Roemer, Charles E. 'Buddy' III\": 'Republican',\n", - " 'Romney, Mitt': 'Republican',\n", - " 'Santorum, Rick': 'Republican'}" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fec.cand_nm[123456:123461]\n", - "fec.cand_nm[123456:123461].map(parties)\n", - "# Add it as a column\n", - "fec['party'] = fec.cand_nm.map(parties)\n", - "fec['party'].value_counts()" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 10, - "text": [ - "Democrat 593746\n", - "Republican 407985\n", - "dtype: int64" - ] - } - ], - "prompt_number": 10 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "(fec.contb_receipt_amt > 0).value_counts()" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 11, - "text": [ - "True 991475\n", - "False 10256\n", - "dtype: int64" - ] - } - ], - "prompt_number": 11 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fec = fec[fec.contb_receipt_amt > 0]" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 12 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fec_mrbo = fec[fec.cand_nm.isin(['Obama, Barack', 'Romney, Mitt'])]" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 15 - } - ], - "metadata": {} - } - ] -} \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 000000000..059c67bc1 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,10 @@ +numpy +pandas +matplotlib +lxml +seaborn +statsmodels +scipy +patsy +scikit-learn +beautifulsoup4