diff --git a/Untitled10.ipynb b/Untitled10.ipynb
new file mode 100644
index 0000000..182be69
--- /dev/null
+++ b/Untitled10.ipynb
@@ -0,0 +1,202 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+ "colab": {
+ "provenance": [],
+ "authorship_tag": "ABX9TyN97zf9PFSXelcj4esXxKJP",
+ "include_colab_link": true
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ }
+ },
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "view-in-github",
+ "colab_type": "text"
+ },
+ "source": [
+ "
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import pandas as pd\n",
+ "\n",
+ "# Load dataset\n",
+ "df = pd.read_csv(\"Salary Data.csv\")\n",
+ "\n",
+ "# Check for missing values\n",
+ "print(df.isnull().sum())\n",
+ "\n",
+ "# Fill missing salary values with median\n",
+ "df['Salary'] = df['Salary'].fillna(df['Salary'].median())\n",
+ "\n",
+ "# Fill missing education levels with mode\n",
+ "df['Education Level'] = df['Education Level'].fillna(df['Education Level'].mode()[0])\n",
+ "# Verify data types\n",
+ "df.info()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "cJidtR83IRjB",
+ "outputId": "a0cb8427-9df4-4cf1-a2f1-5fd9a8b4a72e"
+ },
+ "execution_count": 27,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Age 2\n",
+ "Gender 2\n",
+ "Education Level 2\n",
+ "Job Title 2\n",
+ "Years of Experience 2\n",
+ "Salary 2\n",
+ "dtype: int64\n",
+ "\n",
+ "RangeIndex: 375 entries, 0 to 374\n",
+ "Data columns (total 6 columns):\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 Age 373 non-null float64\n",
+ " 1 Gender 373 non-null object \n",
+ " 2 Education Level 375 non-null object \n",
+ " 3 Job Title 373 non-null object \n",
+ " 4 Years of Experience 373 non-null float64\n",
+ " 5 Salary 375 non-null float64\n",
+ "dtypes: float64(3), object(3)\n",
+ "memory usage: 17.7+ KB\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns\n",
+ "\n",
+ "# Scatterplot of Salary vs. Years of Experience\n",
+ "plt.figure(figsize=(8,5))\n",
+ "sns.scatterplot(x=df['Years of Experience'], y=df['Salary'])\n",
+ "plt.title(\"Salary vs. Years of Experience\")\n",
+ "plt.xlabel(\"Years of Experience\")\n",
+ "plt.ylabel(\"Salary\")\n",
+ "plt.show()\n",
+ "\n",
+ "# Boxplot of Salary by Education Level\n",
+ "plt.figure(figsize=(8,5))\n",
+ "sns.boxplot(x=df['Education Level'], y=df['Salary'])\n",
+ "plt.title(\"Salary by Education Level\")\n",
+ "plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 957
+ },
+ "id": "89iQrXrGJNRr",
+ "outputId": "6ef4df23-6fa5-4269-ad9e-74b855a1c0b9"
+ },
+ "execution_count": 23,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": "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\n"
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtEAAAHWCAYAAACxJNUiAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAWLlJREFUeJzt3Xt8z/X///H73rM5NG2NOUzIaHPYZpPy2WwIlUKF5DRSk3Pp4COyYhqTUhIiRKJQpqLx6eiU4VOs4UNyyKFRbJnDsO39fv/+8Nvr690c9mK837Pb9XLZxd6v5/P9ej3e79ds9z33fD1fbna73S4AAAAAhWZxdgEAAABAcUOIBgAAAEwiRAMAAAAmEaIBAAAAkwjRAAAAgEmEaAAAAMAkQjQAAABgEiEaAAAAMIkQDQAAAJhEiAZQovTs2VM9e/Z0dhmGQ4cOKSgoSLNnz3Z2KZeVX2dSUpKzS7mkjRs3KigoSBs3bnR2KS4lKSlJQUFBOnTokLNLAW4qpZxdAABczq+//qqpU6dq69atOnbsmHx8fFSnTh21bNnSpcKwq0tKStKIESMu2b5o0SKFhYXduIKuwYIFC1S2bFl17NjR2aUYevbsqb///lvLly93dikAbhBCNACXtXnzZvXq1Uv+/v7q3Lmz/Pz8dPjwYf3yyy+aN28eIfoqPPvss7r99tsLbK9Ro4YTqrk6n3zyiW677bYCIfruu+9WWlqaPDw8nFQZgJKEEA3AZU2fPl3ly5fXZ599pltvvdWhLSMjw0lV/Z+8vDzZbDZ5eno6u5RCa9asmUJCQpxdxnVhsVhUunRpZ5cBoIRgTjQAl3XgwAHVqVOnQICWpAoVKjg8XrJkiXr16qWIiAgFBwfroYce0scff3zFY+Tk5Oidd95Rx44ddddddyksLEzdu3fXhg0bHPpdOHd57ty5at26tUJCQpSWlqawsDAlJCQU2PeRI0dUr149zZgxo1Cvd+7cubr33nsVGhqqmJgY7dq1y+H1BQUF6X//+1+B502fPl316tXTn3/+WajjXMmJEyc0fPhw3XXXXWrcuLFeeuklnTx5skC/S80vHz58uFq2bOmwzWaz6cMPP1T79u0VEhKif/3rX4qNjdXWrVuNPoU5hy1bttRvv/2mTZs2KSgoSEFBQUYNl5oTvWLFCnXs2FGhoaFq0qSJhg4dWuC9Gj58uMLDw/Xnn39q4MCBCg8P17/+9S+9/vrrslqt5t7Ay1i9erW6d++usLAwhYeHq2/fvvrtt9+M9tmzZysoKEh//PFHgedOnDhRwcHBysrKMrb98ssvio2N1V133aWGDRsqJiZGP//8c5HVC+DSCNEAXFa1atW0fft2hzB5KZ988omqVaumfv36afjw4apatari4+O1YMGCyz7v1KlT+vTTT3XPPfdo6NChGjx4sDIzM9WnTx/t2LGjQP+kpCTNnz9fjz/+uF566SX5+/urdevWWrFiRYGwtXz5ctntdrVv3/6K9X/++eeaN2+eunfvbgSrJ554QseOHZMkPfDAAypTpoyWLVtW4LnLli3TPffco8qVK1/xOKdOnVJmZqbDx99//2202+12DRw4UF988YUefvhhPffcczpy5IheeumlK+77ckaOHKlx48apSpUqGjp0qPr27avSpUvrl19+MfoU5hy+/PLLqlKligICAjRhwgRNmDBB/fv3v+Rxk5KS9Nxzz8liseiFF17Q448/rm+++UbdunXTiRMnHPparVbFxsbKx8dHw4YN0z333KMPPvhAixYtuqbXnu/zzz9Xv379VK5cOQ0dOlQDBw7U7t271b17d+OivwcffFBubm5asWJFgeevWLFCTZs2lbe3tyQpJSVFPXr00OnTpzV48GA9//zzOnHihJ544gmlpaUVSc0ALsMOAC5q3bp19nr16tnr1atn79Kli33ChAn2tWvX2nNycgr0PXPmTIFtTz31lL1Vq1YO22JiYuwxMTHG47y8PPu5c+cc+mRlZdkjIyPtI0aMMLYdPHjQHhgYaG/UqJE9IyPDof/atWvtgYGB9tWrVztsb9++vcOxLiZ/v6GhofYjR44Y23/55Rd7YGCgfdy4cca2F154wR4VFWW3Wq3Gtu3bt9sDAwPtS5YsuexxlixZYg8MDLzoR3BwsNHvm2++sQcGBtpnzpxpbMvLy7N37969wHH++V7me+mll+z33nuv8TglJcUeGBhof+211wr0tdlsxueFPYdt27a96HE3bNhgDwwMtG/YsMFut9vtOTk59oiICHu7du3sZ8+eNfr98MMP9sDAQPs777zjUHNgYKB9ypQpDvt89NFH7R06dChwrH+KiYmxt23b9pLtp06dsjdu3NgeFxfnsP3o0aP2u+66y2F7ly5dChwz/+th6dKldrv9/Pt2//3325966qkC72HLli3tTz75pLEt/9wfPHjwiq8DQOExEg3AZTVt2lQLFy5Uy5YttXPnTs2aNUuxsbFq1qyZvvvuO4e+ZcqUMT4/efKkMjMzdc899+jgwYMXnYqQz93d3ZjTbLPZdPz4ceXl5Sk4OPiiUyfuv/9++fr6OmyLjIxUpUqVHEaJd+3apV9//VUPP/xwoV5r69atHUaSQ0ND1bBhQ61evdrY9sgjj+ivv/5ymK6wbNkylSlTRvfff3+hjvPqq69qzpw5Dh8zZ8402tesWaNSpUqpW7duxjZ3d3fFxMQUav8X8/XXX8vNzU2DBw8u0Obm5mZ8frXn8FK2bdumjIwMdevWzWGudIsWLRQQEKBVq1YVeM6Fr1uS7rrrriJZGm79+vU6ceKE2rZt6/BXAIvFooYNGzqc0wcffFDbt2/XgQMHjG0rVqyQp6enWrduLUnasWOHfv/9d7Vv315///23sb/s7GxFRETov//9r2w22zXXDeDSuLAQgEsLDQ3VlClTlJOTo507d+rbb7/V3LlzNWTIEH3++eeqU6eOJOnnn3/Wu+++q9TUVJ05c8ZhHydPnlT58uUveYylS5fqgw8+0L59+5Sbm2tsv9gqFhfbZrFY1L59e33yySc6c+aMypYtq2XLlql06dJq06ZNoV5nzZo1C2y74447HP6s37RpU/n5+enLL79URESEbDabli9frlatWsnLy6tQxwkNDb3shYV//PGH/Pz8dMsttzhsr1WrVqH2fzEHDhxQpUqV5OPjc9l+13IOLyY9PV3SxWsPCAgoMHe4dOnSBX5B8vb2dpiDfLV+//13SdITTzxx0fYLz1+bNm00fvx4JScnq3///rLb7Vq5cqWaNWtm9Mvf3+Wm2Zw8edKY+gGg6BGiARQLnp6eCg0NVWhoqO644w6NGDFCK1eu1ODBg3XgwAH17t1bAQEBxlxaDw8PrV69WnPnzr3siNwXX3yh4cOHq3Xr1oqNjVWFChXk7u6uGTNm6ODBgwX6XzhaeqFHH31Us2fP1rfffqt27dpp+fLlatGihengdznu7u5q3769Fi9erNGjR2vz5s3666+/Cj3afaNczYV413IOi4q7u/t127fdbpckTZgwQX5+fpc9duXKldW4cWOtWLFC/fv3V2pqqtLT0zV06NAC+xs2bJjq1at30WOWK1euKF8CgH8gRAModoKDgyVJf/31lyTp+++/V05Ojt577z35+/sb/Qpz57r//Oc/ql69uqZMmeIwtWDy5MmmagoMDFT9+vW1bNkyValSRenp6YqLiyv08/fv319g2++//65q1ao5bHvkkUf0wQcf6Pvvv9eaNWvk6+urqKgoU7VeTrVq1bRhwwadPn3aYTR63759Bfp6e3tf9BeN/BHgfDVq1NC6det0/PjxS45GmzmHF56ny8nfz759+xQREeHQtm/fPofjXG/Vq1eXdH5VmcjIyCv2f/DBBxUfH6+9e/cqOTlZZcuW1b333ltgf15eXoXaH4Cix5xoAC5rw4YNxojbhfLnCQcEBEj6v1G8C/uePHlSS5YsueIxLvbcX375RampqabrfeSRR/Tjjz/qww8/lI+Pj5o1a1bo53777bcOy66lpaXpl19+KbCPunXrKigoSJ999pm+/vprtW3bVqVKFd14SLNmzZSXl6dPPvnE2Ga1WjV//vwCfatXr669e/cqMzPT2LZz505t3rzZod/9998vu92uKVOmFNhH/vtu5hyWLVu2wMoaFxMcHKwKFSpo4cKFysnJMbavXr1ae/bsUYsWLa64j6ISHR0tLy8vzZgxw2HKUL4L30Pp/Gos7u7u+uqrr7Ry5Uq1aNHCYWQ5ODhYNWrU0AcffKDTp09fcX8Aih4j0QBcVkJCgs6cOaP77rtPAQEBys3N1ebNm7VixQpVq1bNuGNd06ZN5eHhof79+6tr1646ffq0Pv30U1WoUEFHjx697DFatGihr7/+WoMGDVKLFi106NAhLVy4UHXq1FF2drapetu1a6c33njDWELNzJ3zatSooW7duqlbt27KycnRvHnz5OPjoz59+hTo++ijj+r111+XJNNTOdasWaO9e/cW2N6oUSNVr15dLVu2VKNGjTRx4kT98ccfqlOnjr7++uuLXtj32GOPae7cuYqNjdVjjz2mjIwM4727MNj961//0iOPPKKPPvpI+/fvV3R0tGw2m37++Wc1adJEMTExps5hgwYN9Mknn2jatGmqWbOmfH19C4w0S5KHh4eGDh2qESNGKCYmRm3btlVGRobmzZunatWqqXfv3qbeuyvJzMzUtGnTCmy//fbb9fDDD2v06NEaNmyYOnbsqIceeki+vr5KT0/X6tWr1ahRI7366qvGcypUqKAmTZpozpw5On36tB566CGHfVosFiUkJOjpp59Wu3bt1LFjR1WuXFl//vmnNm7cKC8vL02fPr1IXx8AR4RoAC5r2LBhWrlypVavXq1FixYpNzdX/v7+6t69uwYMGGDchCUgIECTJ0/WpEmT9Prrr6tixYrq1q2bfH199fLLL1/2GB07dtSxY8e0aNEirVu3TnXq1NEbb7yhlStXatOmTabqrVixopo2barVq1frkUceMfXcRx99VBaLRR9++KEyMjIUGhqqV155RZUqVSrQt3379nrzzTdVvXp1hYaGmjrOpaapJCYmqnr16rJYLHrvvfc0btw4ffnll3Jzc1PLli01fPhwPfroow7PqV27tl5//XVNnjxZiYmJqlOnjiZMmKDly5cXeO8SExONEfQJEyaofPnyCg4OVnh4uCRz53DQoEFKT0/XrFmzdPr0ad1zzz0XDdHS+fNbpkwZzZw5U2+++abKlSun1q1b69///vdFb+JzLTIyMvTOO+8U2B4REaGHH35Y7du3V6VKlfT+++9r9uzZysnJMeY///MW5pL00EMPaf369brlllvUvHnzAu1NmjTRokWLNG3aNM2fP1/Z2dny8/NTaGiounTpUqSvDUBBbvaL/a0UAHBVBg0apF27dumbb765bsfIzMxUdHS0Bg4cqEGDBl234wAALo050QBQRP7666+rGoU2a+nSpbJardf9OACAS2M6BwBco4MHD2rz5s367LPPVKpUqev2p/SUlBTt2bNH06dPV+vWrS+6ZjUA4MYgRAPANfrvf/+rESNGyN/fX+PHj7/oOsBFYdq0adqyZYvCw8P1yiuvXJdjAAAKhznRAAAAgEnMiQYAAABMIkQDAAAAJjEn+gay2WzKy8uTxWIp9G1rAQAAcOPY7XbZbDaVKlVKFsulx5sJ0TdQXl6etm7d6uwyAAAAcAUhISHy9PS8ZDsh+gbK/20mJCRE7u7uTq4GAAAA/2S1WrV169bLjkJLhOgbKn8Kh7u7OyEaAADAhV1p6i0XFgIAAAAmEaIBAAAAkwjRAAAAgEmEaAAAAMAkQjQAAABgEiEaAAAAMIkQDQAAAJhEiAYAAABMIkQDAAAAJnHHQpR4VqtVaWlpyszMlK+vr0JDQ7mjJADguuHnzs3BqSF6xowZ+vrrr7V3716VKVNG4eHhGjp0qAICAow+PXv21KZNmxye16VLF40ZM8Z4nJ6ertGjR2vjxo0qV66cHn30Ub344osqVer/Xt7GjRs1fvx4/fbbb6pataoGDBigjh07Oux3wYIFmj17to4ePaq6devqlVdeUWhoqNF+7tw5jR8/XsnJycrJyVFUVJRGjRqlihUrFvVbgxtkzZo1mjZtmo4cOWJsq1KligYOHKhmzZo5sTIAwM2Inzs3D6dO59i0aZN69OihxYsXa86cOcrLy1NsbKyys7Md+j3++ONat26d8TFs2DCjzWq1ql+/fsrNzdXChQs1fvx4LV26VJMnTzb6HDx4UP369VOTJk30xRdf6IknnlBcXJzWrl1r9ElOTlZiYqIGDRqkpUuXqm7duoqNjVVGRobRZ9y4cfrhhx80adIkffTRR/rrr780ePDg6/gO4Xpas2aNRo0apYCAAE2dOlXJycmaOnWqAgICNGrUKK1Zs8bZJQIAbiL83LnJ2F1IRkaGPTAw0L5p0yZjW0xMjD0hIeGSz1m1apW9bt269qNHjxrbPv74Y3ujRo3s586ds9vtdvuECRPsbdu2dXjec889Z3/qqaeMx4899pg9Pj7eeGy1Wu1RUVH2GTNm2O12u/3EiRP2Bg0a2FesWGH02b17tz0wMNC+ZcuWQr2+vLw8+08//WTPy8srVH9cP3l5efYuXbrYR4wYYbdarQ5tVqvVPmLECHvXrl05VwCAIsHPneKjsHnNpeZEnzx5UpLk7e3tsH3ZsmX68ssv5efnp3vvvVcDBw5U2bJlJUmpqakKDAx0mFIRFRWl0aNHa/fu3apfv75SU1MVERHhsM+oqCiNGzdOkpSTk6Pt27erX79+RrvFYlFkZKS2bNkiSdq2bZtyc3MVGRlp9Kldu7b8/f2VmpqqsLCwQr9Oq9Va6L64PlJTU3XkyBGNHDlSdru9wDnp2rWrnn32WdPnFgCAi+HnTvFR2JzmMiHaZrNp3LhxatSokQIDA43t7dq1k7+/vypVqqRff/1Vb775pvbt26cpU6ZIko4dO1ZgTnL+46NHj162z6lTp3T27FllZWXJarWqQoUKDn0qVKigvXv3Gvvw8PDQrbfeWqBP/nEKa+vWrab6o+ht3rxZ0vlf3FJTUwu0nz171qEfAADXgp87Nx+XCdHx8fH67bff9PHHHzts79Kli/F5UFCQ/Pz81Lt3bx04cEA1atS40WUWiZCQEK7CdQELFixQ+fLlVb9+/QJt27dvlyQ1atSIEQEAQJHg507xYLVaCzXg6RIhesyYMVq1apXmz5+vKlWqXLZvw4YNJUn79+9XjRo1VLFiRaWlpTn0OXbsmCTJz89P0vlR5/xtF/bx8vJSmTJlZLFY5O7u7nARoSRlZGQYI9gVK1ZUbm6uTpw44TAanZGRYRynsNzd3QnRThYWFqYqVarok08+UUJCgiyW/7vG1mazaeHChapatarCwsI4VwCAa8bPnZuPU1fnsNvtGjNmjL755ht9+OGHql69+hWfs2PHDkn/F5DDwsK0a9cuhwC8fv16eXl5qU6dOkafDRs2OOxn/fr1xm96np6eatCggVJSUox2m82mlJQUhYeHS5KCg4Pl4eHh0Gfv3r1KT0/nN8ZiyN3dXQMHDlRKSori4uK0fft2ZWdna/v27YqLi1NKSooGDBjANzIAQJHg587Nx81ut9uddfDRo0dr+fLlmjZtmmrVqmVsL1++vMqUKaMDBw5o2bJlat68uXx8fPTrr78qMTFRVapU0fz58yWdH3J/9NFHValSJf373//W0aNHNWzYMHXu3FkvvPCCpPNL3LVv317du3dXp06dtGHDBo0dO1YzZsxQdHS0pPNL3L300ksaM2aMQkND9eGHH2rFihVasWKFMRqdv/xMYmKivLy8lJCQIElauHBhoV6v1Wo1LhjgP4lruNh6nfnriLNeJwCgqPFzx/UVNq85NUQHBQVddHtiYqI6duyow4cP69///rd+++03ZWdnq2rVqmrdurUGDhwoLy8vo/8ff/yh0aNHa9OmTSpbtqw6dOhw0ZutJCYmavfu3cai5v+82cr8+fONm63Uq1dPcXFxxvQR6f9utvLVV1853GylsNM5CNGuiTtHAQBuJH7uuLZiEaJLGkI0AACAaytsXnPqnGgAAACgOCJEAwAAACYRogEAAACTCNEAAACASYRoAAAAwCRCNAAAAGASIRoAAAAwiRANAAAAmESIBgAAAEwiRAMAAAAmEaIBAAAAkwjRAAAAgEmEaAAAAMAkQjQAAABgEiEaAAAAMIkQDQAAAJhEiAYAAABMIkQDAAAAJhGiAQAAAJMI0QAAAIBJhGgAAADAJEI0AAAAYBIhGgAAADCJEA0AAACYRIgGAAAATCJEAwAAACYRogEAAACTCNEAAACASYRoAAAAwCRCNAAAAGBSKWcXAAAAUJJYrValpaUpMzNTvr6+Cg0Nlbu7u7PLgkmEaAAAgBtkzZo1mjZtmo4cOWJsq1KligYOHKhmzZo5sTKYxXQOAACAG2DNmjUaNWqUAgICNHXqVCUnJ2vq1KkKCAjQqFGjtGbNGmeXCBMI0QAAANeZ1WrVtGnTFBERoYSEBDVo0EDlypVTgwYNlJCQoIiICL333nuyWq3OLhWFRIgGAAC4ztLS0nTkyBH16NFDFotj/LJYLOrRo4cOHz6stLQ0J1UIswjRAAAA11lmZqYkqVatWhdtz9+e3w+ujxANAABwnfn6+kqS9u3bd9H2/O35/eD6CNEAAADXWWhoqKpUqaIFCxbIZrM5tNlsNi1YsEBVq1ZVaGiokyqEWYRoAACA68zd3V0DBw5USkqK4uLitH37dmVnZ2v79u2Ki4tTSkqKBgwYwHrRxYib3W63O7uIksJqtSo1NVVhYWH8JwEAoAS62DrRVatW1YABA1gn2kUUNq9xsxUAAIAbpFmzZmratCl3LLwJEKIBAABuIHd3d4WHhzu7DFwj5kQDAAAAJhGiAQAAAJMI0QAAAIBJhGgAAADAJEI0AAAAYBIhGgAAADCJEA0AAACYRIgGAAAATCJEAwAAACYRogEAAACTCNEAAACASYRoAAAAwCRCNAAAAGASIRoAAAAwiRANAAAAmESIBgAAAEwiRAMAAAAmOTVEz5gxQ506dVJ4eLgiIiI0cOBA7d2716HPuXPnFB8fryZNmig8PFzPPPOMjh075tAnPT1dffv2VcOGDRUREaHXX39deXl5Dn02btyoDh06KDg4WPfdd5+SkpIK1LNgwQK1bNlSISEh6ty5s9LS0kzXAgAAgJufU0P0pk2b1KNHDy1evFhz5sxRXl6eYmNjlZ2dbfQZN26cfvjhB02aNEkfffSR/vrrLw0ePNhot1qt6tevn3Jzc7Vw4UKNHz9eS5cu1eTJk40+Bw8eVL9+/dSkSRN98cUXeuKJJxQXF6e1a9cafZKTk5WYmKhBgwZp6dKlqlu3rmJjY5WRkVHoWgAAAFBC2F1IRkaGPTAw0L5p0ya73W63nzhxwt6gQQP7ihUrjD67d++2BwYG2rds2WK32+32VatW2evWrWs/evSo0efjjz+2N2rUyH7u3Dm73W63T5gwwd62bVuHYz333HP2p556ynj82GOP2ePj443HVqvVHhUVZZ8xY0aha7mSvLw8+08//WTPy8srVH8AAADcWIXNa6WcHeIvdPLkSUmSt7e3JGnbtm3Kzc1VZGSk0ad27dry9/dXamqqwsLClJqaqsDAQFWsWNHoExUVpdGjR2v37t2qX7++UlNTFRER4XCsqKgojRs3TpKUk5Oj7du3q1+/fka7xWJRZGSktmzZUuhaCstqtRa6L4CSLT09XadOnXJ2GcWel5eX/P39nV0GgGKgsDnNZUK0zWbTuHHj1KhRIwUGBkqSjh07Jg8PD916660OfStUqKCjR48afS4M0JKMx1fqc+rUKZ09e1ZZWVmyWq2qUKFCgePkz9EuTC2FtXXrVlP9AZRMp06d0ujRo2W3251dSrFnsVg0atQoeXl5ObsUADcJlwnR8fHx+u233/Txxx87u5TrLiQkRO7u7s4uA0AxMG/ePJceiT5w4IASExM1YsQI1ahRw9nlXBIj0QAKy2q1FmrA0yVC9JgxY7Rq1SrNnz9fVapUMbZXrFhRubm5OnHihMMIcEZGhvz8/Iw+/1xFI3/FjAv7/HMVjWPHjsnLy0tlypSRxWKRu7u7w0WE+cfJH8EuTC2F5e7uTogGUCjVq1d3dgmXlf+9rFatWsZfEQGgJHDq6hx2u11jxozRN998ow8//LDAD4vg4GB5eHgoJSXF2LZ3716lp6cbc5DDwsK0a9cuhwC8fv16eXl5qU6dOkafDRs2OOx7/fr1xj48PT3VoEEDh+PYbDalpKQoPDy80LUAAACgZHDqSHR8fLyWL1+uadOm6ZZbbjHmFpcvX15lypRR+fLl1alTJ40fP17e3t7y8vJSQkKCwsPDjeAaFRWlOnXqaNiwYfr3v/+to0ePatKkSerRo4c8PT0lSV27dtWCBQs0YcIEderUSRs2bNCKFSs0Y8YMo5Ynn3xSL730koKDgxUaGqoPP/xQZ86cUceOHY2arlQLAAAASganhuhPPvlEktSzZ0+H7YmJiUZ4ffnll2WxWPTss88qJydHUVFRGjVqlNHX3d1d06dP1+jRo9WlSxeVLVtWHTp00LPPPmv0qV69umbMmKHExETNmzdPVapUUUJCgqKjo40+Dz30kDIzMzV58mQdPXpU9erV06xZsxwuSLxSLQAAACgZ3Oxc9n3DWK1WYzk85kQDuBns2rVLffv21fvvv8+caAA3hcLmNafOiQYAAACKI0I0AAAAYJJLLHEHAABQUlitVqWlpSkzM1O+vr4KDQ1lmmcxRIgGAAC4QdasWaNp06bpyJEjxrYqVapo4MCBatasmRMrg1lM5wAAALgB1qxZo1GjRikgIEBTp05VcnKypk6dqoCAAI0aNUpr1qxxdokwgRANAABwnVmtVk2bNk0RERFKSEhQgwYNVK5cOTVo0EAJCQmKiIjQe++9J6vV6uxSUUiEaAAAgOssLS1NR44cUY8ePWSxOMYvi8WiHj166PDhw0pLS3NShTCLEA0AAHCdZWZmSpJq1ap10fb87fn94PoI0QAAANeZr6+vJGnfvn0Xbc/fnt8Pro8QDQAAcJ2FhoaqSpUqWrBggXJzc7VlyxZ999132rJli3Jzc7VgwQJVrVpVoaGhzi4VhcQSdwAAANeZu7u7Bg4cqFdffVXt2rXTuXPnjLbSpUvr3LlzGjNmDOtFFyOMRAMAANwgbm5uprbDdTESDQAAcJ1duMRdfHy8tm3bZtyxMDg4WKNGjdJ7772npk2bMhpdTDASDQAAcJ1duMSdh4eHwsPD1apVK4WHh8vDw4Ml7oohQjQAAMB1xhJ3Nx9CNAAAwHXGEnc3H0I0Sjyr1eqw1BC3XAUAFLULl7g7duyYevfurfbt26t37946duwYS9wVQ1xYiBJtzZo1mjZtmo4cOWJsq1KligYOHKhmzZo5sTIAwM3kwiXu1q9fb2w/efKkHnvsMUliibtihpFolFhr1qzRqFGjFBAQoKlTpyo5OVlTp05VQECARo0apTVr1ji7RADATWTSpEnX1A7Xwkg0SqQLlxpKSEiQxXL+98kGDRooISFBcXFxLDUEACgymZmZxkWDX3zxhfbu3WsscRcQEKBHHnnE6MO86OKBkWiUSBcuNZQfoPNZLBaWGgIAFKkXXnhBklS/fn15e3s7LHHn7e2tevXqOfSD6yNEo0RiqSEAwI2UkZEhSYqNjb1o+5NPPunQD66PEI0SiaWGAAA3UoUKFSRJs2fPvmj7nDlzHPrB9RGiUSJduNSQzWZzaLPZbCw1BAAoUm+99ZYk6X//+59OnTrl0Hbq1Cnt2LHDoR9cHyEaJVL+UkMpKSmKi4vT9u3blZ2dre3btysuLk4pKSkaMGAAFxUCAIqEr6+v8dfNdu3aacCAAdq0aZMGDBigdu3aFegD18fqHCixmjVrpvj4eE2bNk2DBg0ytletWlXx8fGsEw0AKFJJSUnq2LGjMjMztWPHDg0bNsxo8/X1VVJSkhOrg1mEaJRozZo1U9OmTZWWlmYsKxQaGsoINADgukhKSlJmZqZeeOEFZWRkqEKFCnrrrbcYgS6GCNEo8dzd3RUeHu7sMgAAJYSvr6/mzp3r7DJwjZgTDQAAAJhEiAYAAABMIkQDAAAAJhGiAQAAAJMI0QAAAIBJhGgAAADAJJa4A1Ai/fnnn8rKynJ2GcXe/v37Hf7FtfH29lblypWdXUaxl56eXuDW2rg6Xl5e8vf3d3YZLokQDaDE+fPPPxXTs5dyc845u5SbxtixY51dwk3Bw7O05n80jyB9DY4fP66YmBjZbDZnl3JTsFgsSkpKko+Pj7NLcTmEaAAlTlZWlnJzzulMQHPZyng7uxxAkmQ5myXtXa2srCxC9DXw8fHR/PnzXX4kev/+/Ro7dqxGjhypmjVrOrucS/Ly8iJAXwIhGkCJZSvjLdstFZ1dBoAiVpymH9SsWVOBgYHOLgNXgQsLAQAAAJMI0QAAAIBJhGgAAADAJEI0AAAAYBIhGgAAADCJEA0AAACYRIgGAAAATCJEAwAAACYRogEAAACTCNEAAACASdz2GzdEenq6Tp065ewybgpeXl7F6pa2AG4uf/75p7KyspxdRrG3f/9+h39x9by9vVW5cuUbflxCNK6748ePKyYmRjabzdml3BQsFouSkpLk4+Pj7FIAlDB//vmnYnr2Um7OOWeXctMYO3ass0so9jw8S2v+R/NueJAmROO68/Hx0fz58116JHr//v0aO3asRo4cqZo1azq7nMvy8vIiQANwiqysLOXmnNOZgOaylfF2djmALGezpL2rlZWVRYjGzam4TD+oWbOmAgMDnV0GALg0Wxlv2W6p6OwyAKfiwkIAAADAJEI0AAAAYBIhGgAAADCJOdEAAMAUy5njzi4BkOTcr0VCNAAAMKXsvjXOLgFwOkI0AAAw5UytZrKV9XF2GYAsZ4477Zc6QjQAADDFVtaHJe5Q4nFhIQAAAGCSU0P0f//7X/Xv319RUVEKCgrSt99+69A+fPhwBQUFOXzExsY69Dl+/LhefPFFNWrUSI0bN9bLL7+s06dPO/TZuXOnunfvrpCQEDVv3lwzZ84sUMuKFSvUpk0bhYSEqH379lq9erVDu91u1zvvvKOoqCiFhoaqd+/e+v3334vmjQAAAECx4tQQnZ2draCgII0aNeqSfaKjo7Vu3Trj46233nJoHzp0qHbv3q05c+Zo+vTp+umnn/Tqq68a7adOnVJsbKz8/f2VlJSkYcOGacqUKVq0aJHRZ/PmzXrxxRf12GOP6fPPP1erVq00aNAg7dq1y+gzc+ZMffTRRxo9erQWL16ssmXLKjY2VufOnSvCdwQAAADFgVPnRDdv3lzNmze/bB9PT0/5+fldtG3Pnj1au3atPvvsM4WEhEiS4uLi1LdvXw0bNkyVK1fWl19+qdzcXI0bN06enp668847tWPHDs2ZM0ddunSRJM2bN0/R0dHq06ePJOm5557T+vXrNX/+fI0ZM0Z2u13z5s3TgAED1Lp1a0nShAkTFBkZqW+//VZt27Y19bqtVqup/rj+8s+J1Wrl/JQAnGO4Mlf+PpRfl+VslpMrAc7L/1osyv83hd2Py19YuGnTJkVEROjWW2/Vv/71Lz333HO67bbbJElbtmzRrbfeagRoSYqMjJTFYlFaWpruu+8+paamqnHjxvL09DT6REVFaebMmcrKypK3t7dSU1PVu3dvh+NGRUUZ00sOHTqko0ePKjIy0mgvX768GjZsqC1btpgO0Vu3bjX7NuA6O3TokCRp165dys7OdnI1uN7yzzfgilz5+9Dff/+tUh4eKrt39ZU7AzdIKQ8P/fHHHzf8/41Lh+jo6Gjdd999uv3223Xw4EG99dZbevrpp7Vo0SK5u7vr2LFj8vX1dXhOqVKl5O3traNHj0qSjh07pttvv92hT8WKFY02b29vHTt2zNiWr0KFCjp27JgkGfuqUKHCJfuYERISInd3d9PPw/VTrlw5SVJgYKACAwOdXA2ut/zzDbgiV/8+VL9+fWVlMRJ9rQ4cOKDExESNGDFCNWrUcHY5xZq3t7cqV65cZPuzWq2FGvB06RB94Qhv/oWFrVu3Nkaniyt3d3dCtIvJPx+cm5KBcwxX5urfh/z9/eXv7+/sMoq9/HNcq1Ytl/6lCZdWrJa4q169um677Tbt379f0vkR5czMTIc+eXl5ysrKMuZRV6xYscBocf7j/NHni/XJyMgw2vP3lZGRcck+AAAAKDmKVYg+cuSIjh8/boTa8PBwnThxQtu2bTP6bNiwQTabTaGhoZKksLAw/fTTT8rNzTX6rF+/XrVq1ZK3t7fRZ8OGDQ7HWr9+vcLCwiRJt99+u/z8/JSSkmK0nzp1Sr/88ovCw8Ovy2sFAACA63JqiD59+rR27NihHTt2SDp/sc+OHTuUnp6u06dP6/XXX1dqaqoOHTqklJQUDRw4UDVr1lR0dLQkqXbt2oqOjtYrr7yitLQ0/fzzz3rttdfUtm1bY25M+/bt5eHhoZEjR+q3335TcnKy5s2bpyeffNKoo1evXlq7dq0++OAD7dmzR++++662bdummJgYSZKbm5t69eql9957T999951+/fVXDRs2TJUqVTJW6wAAAEDJ4dQ50du2bVOvXr2Mx4mJiZKkDh06aPTo0dq1a5c+//xznTx5UpUqVVLTpk01ZMgQh5U23nzzTb322mt64oknZLFYdP/99ysuLs5oL1++vGbPnq0xY8aoY8eOuu222zRw4EBjeTtJatSokd58801NmjRJb731lu644w5NnTrVYY7S008/rTNnzujVV1/ViRMndNddd2nWrFkqXbr09XyLAAAA4IKcGqKbNGmiX3/99ZLts2fPvuI+fHx8NHHixMv2qVu3rj7++OPL9nnwwQf14IMPXrLdzc1NQ4YM0ZAhQ65YEwAAAG5uxWpONAAAAOAKCNEAAACASYRoAAAAwCRCNAAAAGASIRoAAAAwyaVv+w0AAGBWenq6Tp065ewyLiv/7sv5/7oqLy8vbvN+CYRoAABw0zh+/LhiYmJks9mcXUqhjB071tklXJbFYlFSUpJ8fHycXYrLIUQDAICbho+Pj+bPn+/yI9HFhZeXFwH6Eq4qRG/YsEH/+te/iroWAACAa8b0A9wIV3VhYZ8+fdS6dWtNmzZNhw8fLuqaAAAAAJd2VSF6zZo1iomJ0X/+8x+1bt1asbGxSk5OVk5OTlHXBwAAALicqwrRvr6+6t27t7744gstXrxYd9xxh+Lj4xUdHa2EhATt3LmzqOsEAAAAXMY1rxPdoEED9e3bVzExMcrOztaSJUvUsWNHde/eXb/99ltR1AgAAAC4lKsO0bm5uVq5cqWefvpptWzZUuvWrdOrr76qH3/8UV9//bX8/f01ZMiQoqwVAAAAcAlXtTrHa6+9puXLl0uSHn74Yf373/9WYGCg0V6uXDm99NJLio6OLpoqAQAAABdyVSF69+7deuWVV3T//ffL09Pzon1uu+02zZs375qKAwAAAFyR6ekcubm58vf3V8OGDS8ZoCWpVKlSuueee66pOAAAAMAVmQ7RHh4e+vrrr69HLQAAAECxcFUXFrZu3VrfffddUdcCAAAAFAtXNSe6Zs2amjp1qjZv3qwGDRqobNmyDu29evUqkuIAAAAAV3RVIfqzzz5T+fLltW3bNm3bts2hzc3NjRANAACAm9pVhejvv/++qOsAAAAAio1rvmMhAAAAUNJc1Ui0JB05ckTfffedDh8+rNzcXIe2ESNGXHNhAAAAgKu6qhCdkpKiAQMGqHr16tq7d6/uvPNO/fHHH7Lb7apfv35R1wgAAAC4lKuazjFx4kQ99dRTWrZsmTw9PfXuu+9q1apVuvvuu9WmTZuirhEAAABwKVcVovfs2aNHH31U0vk7E549e1a33HKLhgwZolmzZhVlfQAAAIDLuaoQXa5cOWMetJ+fnw4cOGC0/f3330VTGQAAAOCirmpOdMOGDfXzzz+rdu3aat68uV5//XXt2rVL33zzjRo2bFjUNQIAAAAu5apC9IgRI3T69GlJ0jPPPKPTp08rOTlZd9xxh4YPH16kBQIAANxMcnJy9MUXXyg9PV3+/v565JFH5Onp6eyyYNJVhejq1asbn5crV05jxowpsoIAAABuVtOnT9enn34qq9XqsK1z587q37+/EyuDWVe9TjQAAAAKb/r06Vq4cKFuu+02xcbGKiIiQikpKZo9e7YWLlwoSQTpYqTQIfruu++Wm5tbofpu2rTpqgsCAAC42eTk5OjTTz/Vbbfdpk8//VSlSp2PYO3atVObNm3UuXNnffrpp3rqqaeY2lFMFDpEv/zyy9ezDgC44Sxnjju7BMDA1+PN7YsvvpDValVsbKwRoPOVKlVKTz31lCZOnKgvvvhCnTt3dlKVMKPQIbpDhw7Xsw4AuOHK7lvj7BIAlBDp6emSpIiIiIu252/P7wfXd81zos+dO2esGZ3Py8vrWncLANfdmVrNZCvr4+wyAEnnR6L5xe7m5e/vL0lKSUlRu3btCrSnpKQ49IPru6oQnZ2drTfffFMrVqzQ8ePHC7Tv2LHjWusCgOvOVtZHtlsqOrsMACXAI488ounTp2v27Nm677779L///U+ZmZny9fVV/fr19cEHH8jd3V2PPPKIs0tFIV1ViH7jjTe0ceNGjR49WsOGDdOrr76qP//8U4sWLdKLL75Y1DUCAAAUa56enurcubMWLlyoBx98UDabzWizWCyy2Wzq2rUrFxUWI1d12+8ffvhBo0aN0gMPPCB3d3c1btxYAwcO1PPPP69ly5YVdY0AAADFXv369SXJIUBf+Di/HcXDVYXorKws44YrXl5eysrKkiTddddd+umnn4quOgAAgJuA1WrVtGnTFBkZqZUrV2rQoEHq0KGDBg0apJUrVyoyMlLvvfeew01Y4NquKkTffvvtOnTokCQpICBAK1askHR+hLp8+fJFVx0AAMBNIC0tTUeOHFGPHj1UpkwZde7cWUOGDFHnzp1VpkwZ9ejRQ4cPH1ZaWpqzS0UhXVWI7tSpk3bu3ClJ6tu3rxYsWKCQkBAlJiYqNja2SAsEAAAo7jIzMyVJtWrVumh7/vb8fnB9V3VhYe/evY3PIyMjtWLFCm3fvl01atRQ3bp1i6o2AACAm4Kvr68kad++fWrQoEGB9n379jn0g+szNRK9ZcsW/fDDDw7bPv/8c/Xs2VOjRo3SggULlJOTU6QFAgAAFHehoaGqUqWKFixYoNzcXG3ZskXfffedtmzZotzcXC1YsEBVq1ZVaGios0tFIZkaiZ46daruuece3XvvvZKkX3/9VSNHjlSHDh1Up04dzZo1S5UqVdIzzzxzXYoFAAAojtzd3TVw4ECNGjVK7dq107lz54y20qVLKycnR/Hx8XJ3d3dilTDD1Ej0zp07HW5XmZycrNDQUCUkJKh3794aOXKkcZEhAAAAHNntdlPb4bpMjURnZWWpYsX/u7vXpk2b1KxZM+NxSEiIDh8+XHTVAQAA3AQuXOIuPj5e27ZtM+5YGBwcrFGjRum9995T06ZNGY0uJkyNRFesWNFY2i4nJ0f/+9//FBYWZrSfPn1aHh4eRVogAABAcXfhEnceHh4KDw9Xq1atFB4eLg8PD5a4K4ZMhehmzZpp4sSJ+umnn/TWW2+pTJkyuuuuu4z2X3/91bgJCwAAAM5jibubj6kQPWTIELm7uysmJkaLFy9WQkKCwz3elyxZoqioqCIvEgAAoDi7cIm7i2GJu+LH1JxoX19fLViwQCdPnlS5cuUKzNl55513VK5cuSItEAAAoLi7cIm7hIQEWSz/N45ps9lY4q4Yuqo7FpYvX/6ik959fHwcRqYBAADwf0vcpaSkKC4uTtu3b1d2dra2b9+uuLg4paSkaMCAAVxUWIxc1R0LAQAAYE6zZs0UHx+vadOmadCgQcb2qlWrKj4+3mHFM7g+QjQAAMAN0qxZMzVt2lRpaWnGEnehoaGMQBdDhGgAAIAbyN3dXeHh4c4uA9foquZEAwAAACUZIRoAAAAwiRANAAAAmESIBgAAAExyaoj+73//q/79+ysqKkpBQUH69ttvHdrtdrveeecdRUVFKTQ0VL1799bvv//u0Of48eN68cUX1ahRIzVu3Fgvv/yyTp8+7dBn586d6t69u0JCQtS8eXPNnDmzQC0rVqxQmzZtFBISovbt22v16tWmawEAAEDJ4NQQnZ2draCgII0aNeqi7TNnztRHH32k0aNHa/HixSpbtqxiY2N17tw5o8/QoUO1e/duzZkzR9OnT9dPP/2kV1991Wg/deqUYmNj5e/vr6SkJA0bNkxTpkzRokWLjD6bN2/Wiy++qMcee0yff/65WrVqpUGDBmnXrl2magEAAEDJ4NQQ3bx5cz3//PO67777CrTZ7XbNmzdPAwYMUOvWrVW3bl1NmDBBf/31lzFivWfPHq1du1YJCQlq2LChGjdurLi4OH311Vf6888/JUlffvmlcnNzNW7cON15551q27atevbsqTlz5hjHmjdvnqKjo9WnTx/Vrl1bzz33nOrXr6/58+cXuhYAAACUHC67TvShQ4d09OhRRUZGGtvKly+vhg0basuWLWrbtq22bNmiW2+9VSEhIUafyMhIWSwWpaWl6b777lNqaqoaN27scDvyqKgozZw5U1lZWfL29lZqaqp69+7tcPyoqCgjIBemFjOsVqup/rj+8s+J1Wrl/JQAnGO4Mr4PAc5V2P9/Lhuijx49KkmqUKGCw/YKFSro2LFjkqRjx47J19fXob1UqVLy9vY2nn/s2DHdfvvtDn0qVqxotHl7e+vYsWPGtosdpzC1mLF161bTz8H1dejQIUnSrl27lJ2d7eRqcL3ln2/AFfF9CCgeXDZE38xCQkK4vaeLKVeunCQpMDBQgYGBTq4G11v++QZcEd+HAOeyWq2FGvB02RDt5+cnScrIyFClSpWM7RkZGapbt66k8yPKmZmZDs/Ly8tTVlaW8fyKFSsWGC3Of5w/+nyxPhkZGUZ7YWoxw93dnRDtYvLPB+emZOAcw5XxfQgoHlx2nejbb79dfn5+SklJMbadOnVKv/zyi3G/+fDwcJ04cULbtm0z+mzYsEE2m02hoaGSpLCwMP3000/Kzc01+qxfv161atWSt7e30WfDhg0Ox1+/fr3CwsIKXQsAAABKDqeG6NOnT2vHjh3asWOHpPPzFHfs2KH09HS5ubmpV69eeu+99/Tdd9/p119/1bBhw1SpUiW1bt1aklS7dm1FR0frlVdeUVpamn7++We99tpratu2rSpXrixJat++vTw8PDRy5Ej99ttvSk5O1rx58/Tkk08adfTq1Utr167VBx98oD179ujdd9/Vtm3bFBMTI0mFqgUAAAAlh1Onc2zbtk29evUyHicmJkqSOnTooPHjx+vpp5/WmTNn9Oqrr+rEiRO66667NGvWLJUuXdp4zptvvqnXXntNTzzxhCwWi+6//37FxcUZ7eXLl9fs2bM1ZswYdezYUbfddpsGDhyoLl26GH0aNWqkN998U5MmTdJbb72lO+64Q1OnTnWYk1aYWgAAAFAyuNntdruziygprFarUlNTFRYWVqTz3f78809lZWUV2f5Kov3792vs2LEaOXKkatas6exyij1vb2/jr0GuaNeuXerbt6/OBDSXrYy3s8sBJEmWs1kqu3e13n//fS4sBJyosHnNZS8sROH8+eefiunZS7k53DmxKIwdO9bZJdwUPDxLa/5H81w2SHt7e8vDs7S0d7WzSwEceHiWNq7XAeDaCNHFXFZWlnJzzjGiBpdhOZsl7V2trKwslw3RlStX1vyP5vEXnCLAX3GKlqv/FQfA/yFE3yRsZbxlu6XilTsCkHQ+SBNWik7NmjWZggCgRHHZJe4AAAAAV0WIBgAAAEwiRAMAAAAmEaIBAAAAkwjRAAAAgEmEaAAAAMAkQjQAAABgEiEaAAAAMIkQDQAAAJhEiAYAAABMIkQDAAAAJhGiAQAAAJMI0QAAAIBJhGgAAADAJEI0AAAAYBIhGgAAADCJEA0AAACYRIgGAAAATCJEAwAAACYRogEAAACTCNEAAACASYRoAAAAwCRCNAAAAGASIRoAAAAwiRANAAAAmESIBgAAAEwiRAMAAAAmEaIBAAAAkwjRAAAAgEmEaAAAAMAkQjQAAABgEiEaAAAAMIkQDQAAAJhEiAYAAABMIkQDAAAAJhGiAQAAAJMI0QAAAIBJhGgAAADApFLOLgBFw3LmuLNLACTxtQgAKBkI0TeJsvvWOLsEAACAEoMQfZM4U6uZbGV9nF0GIMuZ4/xSBwC46RGibxK2sj6y3VLR2WUAAACUCFxYCAAAAJhEiAYAAABMIkQDAAAAJhGiAQAAAJMI0QAAAIBJhGgAAADAJEI0AAAAYBIhGgAAADCJEA0AAACYRIgGAAAATCJEAwAAACYRogEAAACTCNEAAACASYRoAAAAwCSXDtHvvvuugoKCHD7atGljtJ87d07x8fFq0qSJwsPD9cwzz+jYsWMO+0hPT1ffvn3VsGFDRURE6PXXX1deXp5Dn40bN6pDhw4KDg7Wfffdp6SkpAK1LFiwQC1btlRISIg6d+6stLS06/OiAQAA4PJcOkRL0p133ql169YZHx9//LHRNm7cOP3www+aNGmSPvroI/31118aPHiw0W61WtWvXz/l5uZq4cKFGj9+vJYuXarJkycbfQ4ePKh+/fqpSZMm+uKLL/TEE08oLi5Oa9euNfokJycrMTFRgwYN0tKlS1W3bl3FxsYqIyPjxrwJAAAAcCkuH6Ld3d3l5+dnfPj6+kqSTp48qSVLlmj48OGKiIhQcHCwxo0bpy1btig1NVWStG7dOu3evVtvvPGG6tWrp+bNm2vIkCFasGCBcnJyJEkLFy7U7bffruHDh6t27dqKiYnRAw88oLlz5xo1zJkzR48//rg6deqkOnXqKD4+XmXKlNGSJUtu9NsBAAAAF1DK2QVcyf79+xUVFaXSpUsrLCxML774ovz9/bVt2zbl5uYqMjLS6Fu7dm35+/srNTVVYWFhSk1NVWBgoCpWrGj0iYqK0ujRo7V7927Vr19fqampioiIcDhmVFSUxo0bJ0nKycnR9u3b1a9fP6PdYrEoMjJSW7ZsuarXZLVar+p513tfQFGyWq18fZYA+eeY8w3gZlHY72UuHaJDQ0OVmJioWrVq6ejRo5o6dap69OihZcuW6dixY/Lw8NCtt97q8JwKFSro6NGjkqRjx445BGhJxuMr9Tl16pTOnj2rrKwsWa1WVahQocBx9u7de1Wva+vWrVf1vIs5dOhQke0LKEq7du1Sdna2s8vAdZb/PYjzDaCkcekQ3bx5c+PzunXrqmHDhrr33nu1YsUKlSlTxomVXZuQkBC5u7sXyb7KlStXJPsBilpgYKACAwOdXQaus/zvQZxvADcLq9VaqAFPlw7R/3Trrbfqjjvu0IEDBxQZGanc3FydOHHCYTQ6IyNDfn5+ks6PKP9zFY381Tsu7PPPFT2OHTsmLy8vlSlTRhaLRe7u7gUuIszIyCgwgl1Y7u7uRRaii2o/QFEryq9zuK78c8z5BlDSuPyFhRc6ffq0Dh48KD8/PwUHB8vDw0MpKSlG+969e5Wenq6wsDBJUlhYmHbt2uUQgNevXy8vLy/VqVPH6LNhwwaH46xfv97Yh6enpxo0aOBwHJvNppSUFIWHh1+nVwoAAABX5tIh+vXXX9emTZt06NAhbd68WYMHD5bFYlG7du1Uvnx5derUSePHj9eGDRu0bds2vfzyywoPDzcCcFRUlOrUqaNhw4Zp586dWrt2rSZNmqQePXrI09NTktS1a1cdPHhQEyZM0J49e7RgwQKtWLFCvXv3Nup48skntXjxYi1dulR79uzR6NGjdebMGXXs2NEJ7woAAACczaWncxw5ckQvvPCCjh8/Ll9fX911111avHixsczdyy+/LIvFomeffVY5OTmKiorSqFGjjOe7u7tr+vTpGj16tLp06aKyZcuqQ4cOevbZZ40+1atX14wZM5SYmKh58+apSpUqSkhIUHR0tNHnoYceUmZmpiZPnqyjR4+qXr16mjVr1lVP5wAAAEDx5tIh+u23375se+nSpTVq1CiH4PxP1apV08yZMy+7nyZNmujzzz+/bJ+YmBjFxMRcto8zWc5mObsEQBJfiwCAksGlQzSuzNvbWx6epaW9q51dCmDw8Cwtb29vZ5cBAMB1Q4gu5ipXrqz5H81TVhajf9di//79Gjt2rEaOHKmaNWs6u5xiz9vbW5UrV3Z2GQAAXDeE6JtA5cqVCSxFpGbNmqx1CwAArsilV+cAAAAAXBEhGgAAADCJEA0AAACYxJxoAHBh6enpOnXqlLPLuKT9+/c7/OuqvLy85O/v7+wyANxECNEA4KKOHz+umJgY2Ww2Z5dyRWPHjnV2CZdlsViUlJQkHx8fZ5cC4CZBiAYAF+Xj46P58+e79Eh0ceHl5UWABlCkCNEA4MKYggAArokLCwEAAACTCNEAAACASYRoAAAAwCRCNAAAAGASIRoAAAAwiRANAAAAmESIBgAAAEwiRAMAAAAmEaIBAAAAkwjRAAAAgEmEaAAAAMAkQjQAAABgEiEaAAAAMIkQDQAAAJhEiAYAAABMIkQDAAAAJhGiAQAAAJMI0QAAAIBJhGgAAADAJEI0AAAAYBIhGgAAADCJEA0AAACYRIgGAAAATCJEAwAAACYRogEAAACTCNEAAACASYRoAAAAwCRCNAAAAGASIRoAAAAwiRANAAAAmESIBgAAAEwiRAMAAAAmEaIBAAAAkwjRAAAAgEmEaAAAAMAkQjQAAABgEiEaAAAAMIkQDQAAAJhEiAYAAABMIkQDAAAAJhGiAQAAAJMI0QAAAIBJhGgAAADAJEI0AAAAYBIhGgAAADCJEA0AAACYRIgGAAAATCJEAwAAACYRogEAAACTCNEmLViwQC1btlRISIg6d+6stLQ0Z5cEAACAG4wQbUJycrISExM1aNAgLV26VHXr1lVsbKwyMjKcXRoAAABuoFLOLqA4mTNnjh5//HF16tRJkhQfH69Vq1ZpyZIl6tu3r5Orc23p6ek6deqUs8u4pP379zv868q8vLzk7+/v7DIAACjRCNGFlJOTo+3bt6tfv37GNovFosjISG3ZssXUvqxWa1GX59KysrIUExMjm83m7FKuaOzYsc4u4YosFos+++wzeXt7O7sUAABuOoXNaYToQvr7779ltVpVoUIFh+0VKlTQ3r17Te1r69atRVlasTB8+HCdOXPG2WXcFMqWLat9+/Y5uwwAAEo0QrQThISEyN3d3dllAAAA4B+sVmuhBjwJ0YV02223yd3dvcBFhBkZGapYsaKpfbm7uxOiAQAAijFW5ygkT09PNWjQQCkpKcY2m82mlJQUhYeHO7EyAAAA3GiMRJvw5JNP6qWXXlJwcLBCQ0P14Ycf6syZM+rYsaOzSwMAAMANRIg24aGHHlJmZqYmT56so0ePql69epo1a5bp6RwAAAAo3gjRJsXExCgmJsbZZQAAAMCJmBMNAAAAmESIBgAAAEwiRAMAAAAmEaIBAAAAkwjRAAAAgEmEaAAAAMAkQjQAAABgEiEaAAAAMIkQDQAAAJjEHQtvILvdLkmyWq1OrgQAAAAXk5/T8nPbpRCibyCbzSZJ2rp1q5MrAQAAwOXk57ZLcbNfKWajyNhsNuXl5cliscjNzc3Z5QAAAOAf7Ha7bDabSpUqJYvl0jOfCdEAAACASVxYCAAAAJhEiAYAAABMIkQDAAAAJhGiAQAAAJMI0QAAAIBJhGgAAADAJEI0AAAAYBIhGje9li1bau7cude0j+HDh2vgwIFFUxAAoERJSkpS48aNnV0GihghGk41fPhwBQUFGR9NmjRRbGysdu7c6ezSroukpCT17NnT2WXgJpf//+rVV18t0BYfH6+goCANHz68SI4VFBSkb7/9tkj2dejQIQUFBRXJvoAb7cKfZ8HBwbrvvvs0ZcoU5eXlFer57777rvH8+vXrq0mTJurRo4fmzp2rnJyc61w9rgYhGk4XHR2tdevWad26dZo7d65KlSql/v37O7usImW32wv9jRQoClWrVlVycrLOnj1rbDt37pyWL18uf39/J1Z2cbm5uc4uAbhm+T/P/vOf/+jJJ5/UlClTNHv27EI//84779S6dev0ww8/aN68eWrTpo3ef/99de3aVadOnbqOleNqEKLhdJ6envLz85Ofn5/q1aunp59+WocPH1ZmZqYk6Y033tADDzyghg0bqlWrVpo0aVKBH7jff/+9OnXqpJCQEDVp0kSDBg1yaD979qxGjBih8PBwtWjRQosWLXJoP3z4sIYMGaLGjRvrnnvu0YABA3To0KFL1pyTk6OEhARFREQoJCRE3bp1U1pamtG+ceNGBQUFafXq1erYsaNCQkL0888/F9jPxo0b9dhjjyksLEyNGzdW165d9ccff5h+D4F/ql+/vqpWraqvv/7a2Pb111+ratWqqlevnrFtzZo16tatmxo3bqwmTZqoX79+OnDggNGek5OjMWPGKCoqSiEhIbr33ns1Y8YMSeenSknSoEGDFBQUZDyWpG+//VYdOnRQSEiIWrVqVWBELigoSB9//LH69++vsLAwTZ8+vcBr+OOPP9S/f3/dfffdCgsLU9u2bbV69eqie5OAIpb/86xatWrq3r27IiMj9f333xvta9eu1YMPPqjw8HDFxsbqr7/+cni+u7u7/Pz8VLlyZQUFBalnz5766KOPtGvXLs2cOfNGvxxcASEaLuX06dP68ssvVbNmTfn4+EiSbrnlFiUmJuqrr77SyJEj9emnnzrMcV61apUGDx6s5s2b6/PPP9eHH36o0NBQh/3OmTNHwcHB+vzzz9W9e3eNHj1ae/fulXR+BCw2Nla33HKLFixYoE8++UTlypVTnz59LvkntAkTJug///mPxo8fr6VLl6pmzZrq06ePjh8/7tBv4sSJevHFF5WcnFzgz9R5eXkaNGiQ7r77bn355ZdatGiRunTpIjc3t2t7E4H/r1OnTkpKSjIeL1myRB07dnToc+bMGT355JNasmSJ5s6dKzc3Nw0aNEg2m02S9NFHH+n777/XpEmTtHLlSr3xxhuqVq2aJOmzzz6TJCUmJmrdunXG459++kkvvfSSevXqpeTkZI0ZM0ZJSUkFgvKUKVN03333admyZerUqVOB+seMGaOcnBzNnz9fy5Yt09ChQ1WuXLmie4OA66x06dLGoM/Zs2f1wQcfaMKECZo/f74OHz6s119//Yr7qF27tpo1a6ZvvvnmepcLk0o5uwBg1apVCg8PlyRlZ2fLz89PM2bMkMVy/ne8Cy/ou/3227Vv3z599dVXevrppyVJ06dP10MPPaRnn33W6Fe3bl2HYzRr1kw9evSQJD399NOaO3euNm7cqICAACUnJ8tms2ns2LFGgE1MTNTdd9+tTZs2KSoqymFf2dnZWrhwoRITE9W8eXNJ0muvvaYff/xRn332mfr06WP0ffbZZ9W0aVPjcceOHY0Qc+rUKZ08eVL33nuvatSoIen8N0ugqDz88MOaOHGi8deNzZs366233tKmTZuMPg888IDDc8aNG6eIiAjt3r1bgYGBOnz4sGrWrKm77rpLbm5uRoCWJF9fX0nSrbfeKj8/P2P7lClT1LdvX3Xo0EGSVL16dQ0ZMkRvvPGGBg8ebPRr165dgfD866+/Gp+np6frgQceMH4BrV69+jW9H8CNYrfblZKSonXr1ikmJkbS+QGb+Ph44/t9jx49NG3atELtLyAgQD/++ON1qxdXhxANp2vSpIlGjx4tScrKytInn3yip59+Wp9++qmqVaum5ORkzZs3TwcPHlR2drby8vLk5eVlPH/Hjh3q3LnzZY9x4Siwm5ubKlasqIyMDEnSzp07deDAATVq1MjhOefOnXP4s3a+AwcOKDc316G/h4eHQkNDtWfPHoe+ISEhl6zJx8dHHTt2VGxsrJo2baqIiAg9+OCDqlSp0mVfC1BYvr6+atGihZYuXSq73a4WLVoYwTff77//rsmTJ+uXX37R33//LbvdLun8FKfAwEB16NBBTz31lNq0aaPo6Gi1aNGiwC+W/7Rz505t3rzZYeTZarXq3LlzOnPmjMqWLStJCg4Ovux+evXqpdGjR2vdunWKjIzU/fffX+AXZMCV5A8K5ebmym63q127dnrmmWe0cuVKlS1b1gjQklSpUiXj59CV2O12/krpggjRcLqyZcuqZs2axuMGDRqocePGWrx4sVq0aKGhQ4fqmWeeUVRUlMqXL6+vvvpKc+bMMfqXKVPmiscoVcrxS93Nzc0IC9nZ2WrQoIHefPPNAs/7Z+AwKz8sXEpiYqJ69uyptWvXasWKFZo0aZLmzJmjsLCwazoukK9Tp04aM2aMJGnUqFEF2vv3769q1aopISFBlSpVks1mU7t27Yw/QTdo0EDfffed1qxZo/Xr1+u5555TZGSkJk+efMljZmdn65lnntH9999foK106dLG51eamtG5c2dFRUVp1apV+vHHH/X+++/rpZdeYoUbuKz8QSEPDw9VqlTJ4WfP5X4OXcmePXt0++23F2mtuHaEaLgcNzc3ubm56dy5c9qyZYv8/f01YMAAoz09Pd2hf2BgoFJSUi46p7IwGjRooBUrVqhChQoOI9yXUqNGDXl4eGjz5s3Gn7Zzc3O1detWPfHEE6aPX79+fdWvX1/9+vVTly5dtHz5ckI0ikx0dLRyc3Pl5uZWYAT577//1r59+5SQkGCsYfvTTz8V2IeXl5ceeughPfTQQ3rggQeM+f8+Pj7y8PCQ1Wp16F+/fn3t27fP4Zfjq1W1alV169ZN3bp108SJE7V48WJCNFzWPweFisKePXu0bt069e3bt0j3i2tHiIbT5eTk6OjRo5KkEydOaP78+crOzta9996rU6dO6fDhw/rqq68UEhKiVatWFViTdvDgwerdu7dq1Kihtm3bKi8vT6tXry70N5z27dtr9uzZGjBggIYMGaLKlSsrPT1d33zzjfr06aMqVao49C9Xrpy6deumCRMmyNvbW/7+/po1a5bOnj2rxx57rNCv++DBg1q8eLFatmypSpUqad++ffr999/1yCOPFHofwJW4u7trxYoVxucX8vb2lo+PjxYtWiQ/Pz+lp6dr4sSJDn3mzJljrJxjsVi0cuVK+fn56dZbb5UkVatWTSkpKWrUqJE8PT3l7e2tQYMGqX///vL399cDDzwgi8WinTt3ateuXXr++ecLXfvYsWPVrFkz3XHHHTpx4oQ2btzIdQO4qVmtVh09elQ2m03Hjx/Xpk2b9N5776lu3bqKjY11dnn4B0I0nG7t2rXGCNktt9yigIAAvfPOO2rSpIkk6YknnjCu0m/RooUGDBigKVOmGM9v0qSJ3nnnHU2bNk3vv/++vLy8dPfddxf6+GXLltX8+fP15ptvavDgwTp9+rQqV66siIiIS45MDx06VHa7XcOGDdPp06cVHBysWbNmydvb29Rx9+7dq6VLl+r48eOqVKmSevTooa5duxZ6H0BhXOrr2GKx6O2331ZCQoLatWunWrVqKS4uzmGk95ZbbtGsWbO0f/9+WSwWhYSE6P333zcu/H3ppZc0fvx4ffrpp6pcubK+//57RUdHa/r06Zo6dapmzpypUqVKKSAg4IrXLvyTzWbTmDFjdOTIEXl5eSk6OlojRoy4+jcCcHG//faboqKi5O7urvLly6t27drq27evunfvLk9PT2eXh39wsxd2Qg4AAAAASawTDQAAAJhGiAYAAABMIkQDAAAAJhGiAQAAAJMI0QAAAIBJhGgAAADAJEI0AAAAYBIhGgAAADCJEA0ALi4oKKjA7e6dYfjw4Ro4cKCzy7jukpKS1LhxY2eXAcDFEaIB4AYZPny4goKCCnzExsY6uzQHhw4dUlBQkHbs2OGwfeTIkRo/fvx1P76r/NIAAJdTytkFAEBJEh0drcTERIdtnp6eTqrGnPLlyzu7BABwGYxEA8AN5OnpKT8/P4cPb29vo/33339Xjx49FBISooceekg//vijw/M3btyooKAgnThxwti2Y8cOBQUF6dChQ8a2n3/+WT179lTDhg119913KzY2VllZWZKkNWvWqFu3bmrcuLGaNGmifv366cCBA8ZzW7VqJUl69NFHFRQUpJ49e0oqOJ0jJydHCQkJioiIUEhIiLp166a0tLQCtaakpKhjx45q2LChunbtqr17917Te/jpp5/qwQcfVEhIiNq0aaMFCxYYbV27dtUbb7zh0D8zM1MNGjTQf//7X6Pu119/XdHR0QoLC1Pnzp21cePGa6oJQMlDiAYAF2Gz2fTMM8/Iw8NDn376qeLj4/Xmm2+a3s+OHTvUu3dv1a5dW4sWLdLHH3+se++9V1arVZJ05swZPfnkk1qyZInmzp0rNzc3DRo0SDabTdL5kCpJc+fO1bp16/Tuu+9e9DgTJkzQf/7zH40fP15Lly5VzZo11adPHx0/ftyh39tvv63hw4dryZIlcnd318svv2z6NeX78ssv9c477+j5559XcnKyXnjhBU2ePFlLly6VJLVv317Jycmy2+3Gc5KTk1WpUiVjnvOYMWO0ZcsWvf322/ryyy/Vpk0b9enTR7///vtV1wWg5GE6BwDcQKtWrVJ4eLjDtn79+ql///5av3699u7dq1mzZqly5cqSpOeff15PP/20qWPMmjVLwcHBGj16tLHtzjvvND5/4IEHHPqPGzdOERER2r17twIDA+Xr6ytJ8vHxkZ+f30WPkZ2drYULFyoxMVHNmzeXJL322mv68ccf9dlnn6lPnz5G3+eff1733HOPJKlv377q27evzp07p9KlS5t6XZL07rvvavjw4br//vslSdWrV9fu3bu1aNEidejQQQ8++KDGjRunn3/+2QjNy5cvV9u2beXm5qb09HQlJSXphx9+MN7j2NhYrV27VklJSXrhhRdM1wSgZCJEA8AN1KRJE4dwK8mYzrFnzx5VqVLFCHeSCgTuwtixY4fatGlzyfbff/9dkydP1i+//KK///7bGLU9fPiwAgMDC3WMAwcOKDc3V40aNTK2eXh4KDQ0VHv27HHoGxQUZHyeH8ozMjLk7+9f6NcknQ/uBw4c0MiRI/XKK68Y2/Py8oz52r6+vmratKm+/PJLNW7cWAcPHtSWLVsUHx8vSdq1a5esVmuB9ycnJ0c+Pj6m6gFQshGiAeAGKlu2rGrWrHnVz7dYzs/Cu3C6Qm5urkOfMmXKXHYf/fv3V7Vq1ZSQkKBKlSrJZrOpXbt2BfZTVEqV+r8fNW5ubpJkTB0xIzs7W9L5Ee+GDRs6tOW/L9L5KR0JCQl65ZVXtHz5cgUGBhpBPjs7W+7u7sbUkguVK1fOdE0ASi7mRAOAi6hdu7aOHDmiv/76y9iWmprq0Cd/qsXRo0eNbTt37nTok38x38X8/fff2rdvnwYMGKCIiAjVrl3buOAwn4eHhyQZc6gvpkaNGvLw8NDmzZuNbbm5udq6davq1KlzmVd59SpWrKhKlSrp4MGDqlmzpsNH9erVjX6tWrVSTk6O1q5dq+XLl6t9+/ZGW7169WS1WpWZmVlgH5eaugIAF8NINADcQDk5OQ4BWJLc3d3l6+uryMhI3XHHHRo+fLiGDRumU6dO6e2333boW6NGDVWtWlXvvvuunn/+ef3+++/64IMPHPr07dtX7du31+jRo9W1a1d5eHho48aNatOmjXx8fOTj46NFixbJz89P6enpmjhxosPzK1SooDJlymjt2rWqUqWKSpcuXWB5u3Llyqlbt26aMGGCvL295e/vr1mzZuns2bN67LHHrvl9OnToUIF1qmvWrKlnn31WCQkJKl++vKKjo5WTk6Nt27bpxIkTevLJJ43aWrVqpXfeeUd79uxRu3btjH3UqlVL7du317BhwzR8+HDVq1dPf//9t1JSUhQUFKQWLVpcc+0ASgZCNADcQGvXrlVUVJTDtlq1amnlypWyWCyaMmWKRo4cqccee0zVqlVTXFycw0V6Hh4emjhxokaPHq2HH35YISEheu655zRkyBCH/X3wwQd666231LlzZ5UpU0ahoaFq166dLBaL3n77bSUkJKhdu3aqVauW4uLijGXspPPTL+Li4jR16lRNnjxZjRs31kcffVTgtQwdOlR2u13Dhg3T6dOnFRwcrFmzZjks2Xe1/rmWtiQtWLDAeD2zZ8/WhAkTVK5cOQUGBuqJJ55w6Nu+fXv17dtXd999d4G514mJiXrvvfc0fvx4/fXXX/Lx8VFYWBgBGoApbvYLJ9YBAAAAuCLmRAMAAAAmEaIBAAAAkwjRAAAAgEmEaAAAAMAkQjQAAABgEiEaAAAAMIkQDQAAAJhEiAYAAABMIkQDAAAAJhGiAQAAAJMI0QAAAIBJ/w9Ihy3huxRzvwAAAABJRU5ErkJggg==\n"
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from scipy.stats import ttest_ind\n",
+ "\n",
+ "# Compare salaries of two education groups\n",
+ "bachelor_salaries = df[df['Education Level'] == \"Bachelor's\"]['Salary']\n",
+ "masters_salaries = df[df['Education Level'] == \"Master's\"]['Salary']\n",
+ "\n",
+ "t_stat, p_value = ttest_ind(bachelor_salaries, masters_salaries)\n",
+ "print(f\"T-statistic: {t_stat}, P-value: {p_value}\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "moOfEDUFJz01",
+ "outputId": "78e81202-49d6-43f8-8603-29f83a2d8049"
+ },
+ "execution_count": 24,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "T-statistic: -12.286200687141768, P-value: 1.0286960781930775e-28\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Select only numeric columns for correlation\n",
+ "numeric_df = df.select_dtypes(include=['number'])\n",
+ "\n",
+ "# Heatmap to show correlation\n",
+ "plt.figure(figsize=(8,5))\n",
+ "sns.heatmap(numeric_df.corr(), annot=True, cmap=\"coolwarm\")\n",
+ "plt.title(\"Correlation Heatmap\")\n",
+ "plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 468
+ },
+ "id": "CQfT-PI8J3KX",
+ "outputId": "1f146ec6-9ac5-4860-a84f-af1d4d00beda"
+ },
+ "execution_count": 26,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": "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\n"
+ },
+ "metadata": {}
+ }
+ ]
+ }
+ ]
+}
\ No newline at end of file
diff --git a/Untitled11.ipynb b/Untitled11.ipynb
new file mode 100644
index 0000000..3b26d01
--- /dev/null
+++ b/Untitled11.ipynb
@@ -0,0 +1,387 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+ "colab": {
+ "provenance": [],
+ "authorship_tag": "ABX9TyO6O+1QMdio6vSgFUTBQ7ze",
+ "include_colab_link": true
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ }
+ },
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "view-in-github",
+ "colab_type": "text"
+ },
+ "source": [
+ "
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "KPao_NcaSB5z",
+ "outputId": "c0fb15f6-44a4-48e0-ff33-9109075f48e8"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "CustomerID 0\n",
+ "Age 0\n",
+ "Gender 0\n",
+ "Income 0\n",
+ "CampaignChannel 0\n",
+ "CampaignType 0\n",
+ "AdSpend 0\n",
+ "ClickThroughRate 0\n",
+ "ConversionRate 0\n",
+ "WebsiteVisits 0\n",
+ "PagesPerVisit 0\n",
+ "TimeOnSite 0\n",
+ "SocialShares 0\n",
+ "EmailOpens 0\n",
+ "EmailClicks 0\n",
+ "PreviousPurchases 0\n",
+ "LoyaltyPoints 0\n",
+ "AdvertisingPlatform 0\n",
+ "AdvertisingTool 0\n",
+ "Conversion 0\n",
+ "dtype: int64\n",
+ "\n",
+ "RangeIndex: 8000 entries, 0 to 7999\n",
+ "Data columns (total 20 columns):\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 CustomerID 8000 non-null int64 \n",
+ " 1 Age 8000 non-null int64 \n",
+ " 2 Gender 8000 non-null object \n",
+ " 3 Income 8000 non-null int64 \n",
+ " 4 CampaignChannel 8000 non-null object \n",
+ " 5 CampaignType 8000 non-null object \n",
+ " 6 AdSpend 8000 non-null float64\n",
+ " 7 ClickThroughRate 8000 non-null float64\n",
+ " 8 ConversionRate 8000 non-null float64\n",
+ " 9 WebsiteVisits 8000 non-null int64 \n",
+ " 10 PagesPerVisit 8000 non-null float64\n",
+ " 11 TimeOnSite 8000 non-null float64\n",
+ " 12 SocialShares 8000 non-null int64 \n",
+ " 13 EmailOpens 8000 non-null int64 \n",
+ " 14 EmailClicks 8000 non-null int64 \n",
+ " 15 PreviousPurchases 8000 non-null int64 \n",
+ " 16 LoyaltyPoints 8000 non-null int64 \n",
+ " 17 AdvertisingPlatform 8000 non-null object \n",
+ " 18 AdvertisingTool 8000 non-null object \n",
+ " 19 Conversion 8000 non-null int64 \n",
+ "dtypes: float64(5), int64(10), object(5)\n",
+ "memory usage: 1.2+ MB\n"
+ ]
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "\n",
+ "# Load dataset\n",
+ "df = pd.read_csv(\"digital_marketing_campaign_dataset.csv\")\n",
+ "\n",
+ "# Check for missing values\n",
+ "print(df.isnull().sum())\n",
+ "\n",
+ "# Fill missing numerical values with median\n",
+ "df.fillna(df.median(numeric_only=True), inplace=True)\n",
+ "\n",
+ "# Fill missing categorical values with mode\n",
+ "df.fillna(df.mode().iloc[0], inplace=True)\n",
+ "\n",
+ "# Verify data types\n",
+ "df.info()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns\n",
+ "\n",
+ "# Distribution of Ad Spend\n",
+ "plt.figure(figsize=(8,5))\n",
+ "sns.histplot(df['AdSpend'], bins=50, kde=True)\n",
+ "plt.title(\"Distribution of Ad Spend\")\n",
+ "plt.xlabel(\"Ad Spend\")\n",
+ "plt.show()\n",
+ "\n",
+ "# Boxplot of Conversion Rate by Campaign Type\n",
+ "plt.figure(figsize=(8,5))\n",
+ "sns.boxplot(x=df['CampaignType'], y=df['ConversionRate'])\n",
+ "plt.title(\"Conversion Rate by Campaign Type\")\n",
+ "plt.xticks(rotation=45)\n",
+ "plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000
+ },
+ "id": "Y3Q0NQKrSPJc",
+ "outputId": "3ab093a4-e7a5-4807-8d7d-a6a93c755b5c"
+ },
+ "execution_count": 2,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": "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\n"
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": "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\n"
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from scipy.stats import ttest_ind\n",
+ "\n",
+ "# Compare conversion rates of Social Media and PPC campaigns\n",
+ "social_media_conversion = df[df['CampaignChannel'] == \"Social Media\"]['ConversionRate']\n",
+ "ppc_conversion = df[df['CampaignChannel'] == \"PPC\"]['ConversionRate']\n",
+ "\n",
+ "t_stat, p_value = ttest_ind(social_media_conversion, ppc_conversion)\n",
+ "print(f\"T-statistic: {t_stat}, P-value: {p_value}\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "NV_lD7UySnHT",
+ "outputId": "3f69135f-1154-4ef3-b401-02833e7f7a5f"
+ },
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "T-statistic: 1.2402870554368668, P-value: 0.2149609739881424\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Heatmap to show correlation\n",
+ "numeric_df = df.select_dtypes(include=['number'])\n",
+ "plt.figure(figsize=(10,6))\n",
+ "sns.heatmap(numeric_df.corr(), annot=True, cmap=\"coolwarm\")\n",
+ "plt.title(\"Correlation Heatmap\")\n",
+ "plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 571
+ },
+ "id": "mX7bfqIHTEW5",
+ "outputId": "c012e4c5-e621-420b-e9f0-4e205fb5ba61"
+ },
+ "execution_count": 4,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": "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\n"
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install dash plotly"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "pVLvz0HaTwr3",
+ "outputId": "881adff2-ddca-4aa1-e889-4855571f0b70"
+ },
+ "execution_count": 6,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Collecting dash\n",
+ " Downloading dash-3.0.0-py3-none-any.whl.metadata (10 kB)\n",
+ "Requirement already satisfied: plotly in /usr/local/lib/python3.11/dist-packages (5.24.1)\n",
+ "Collecting Flask<3.1,>=1.0.4 (from dash)\n",
+ " Downloading flask-3.0.3-py3-none-any.whl.metadata (3.2 kB)\n",
+ "Collecting Werkzeug<3.1 (from dash)\n",
+ " Downloading werkzeug-3.0.6-py3-none-any.whl.metadata (3.7 kB)\n",
+ "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.11/dist-packages (from dash) (8.6.1)\n",
+ "Requirement already satisfied: typing-extensions>=4.1.1 in /usr/local/lib/python3.11/dist-packages (from dash) (4.12.2)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from dash) (2.32.3)\n",
+ "Collecting retrying (from dash)\n",
+ " Downloading retrying-1.3.4-py3-none-any.whl.metadata (6.9 kB)\n",
+ "Requirement already satisfied: nest-asyncio in /usr/local/lib/python3.11/dist-packages (from dash) (1.6.0)\n",
+ "Requirement already satisfied: setuptools in /usr/local/lib/python3.11/dist-packages (from dash) (75.1.0)\n",
+ "Collecting stringcase>=1.2.0 (from dash)\n",
+ " Downloading stringcase-1.2.0.tar.gz (3.0 kB)\n",
+ " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.11/dist-packages (from plotly) (9.0.0)\n",
+ "Requirement already satisfied: packaging in /usr/local/lib/python3.11/dist-packages (from plotly) (24.2)\n",
+ "Requirement already satisfied: Jinja2>=3.1.2 in /usr/local/lib/python3.11/dist-packages (from Flask<3.1,>=1.0.4->dash) (3.1.6)\n",
+ "Requirement already satisfied: itsdangerous>=2.1.2 in /usr/local/lib/python3.11/dist-packages (from Flask<3.1,>=1.0.4->dash) (2.2.0)\n",
+ "Requirement already satisfied: click>=8.1.3 in /usr/local/lib/python3.11/dist-packages (from Flask<3.1,>=1.0.4->dash) (8.1.8)\n",
+ "Requirement already satisfied: blinker>=1.6.2 in /usr/local/lib/python3.11/dist-packages (from Flask<3.1,>=1.0.4->dash) (1.9.0)\n",
+ "Requirement already satisfied: MarkupSafe>=2.1.1 in /usr/local/lib/python3.11/dist-packages (from Werkzeug<3.1->dash) (3.0.2)\n",
+ "Requirement already satisfied: zipp>=3.20 in /usr/local/lib/python3.11/dist-packages (from importlib-metadata->dash) (3.21.0)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->dash) (3.4.1)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->dash) (3.10)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->dash) (2.3.0)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests->dash) (2025.1.31)\n",
+ "Requirement already satisfied: six>=1.7.0 in /usr/local/lib/python3.11/dist-packages (from retrying->dash) (1.17.0)\n",
+ "Downloading dash-3.0.0-py3-none-any.whl (8.0 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.0/8.0 MB\u001b[0m \u001b[31m98.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hDownloading flask-3.0.3-py3-none-any.whl (101 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m101.7/101.7 kB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hDownloading werkzeug-3.0.6-py3-none-any.whl (227 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m228.0/228.0 kB\u001b[0m \u001b[31m17.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hDownloading retrying-1.3.4-py3-none-any.whl (11 kB)\n",
+ "Building wheels for collected packages: stringcase\n",
+ " Building wheel for stringcase (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Created wheel for stringcase: filename=stringcase-1.2.0-py3-none-any.whl size=3568 sha256=d911eba52452284149ee8d73866f28c6ee9a7e225b106d68d687aebd2bfdc3a8\n",
+ " Stored in directory: /root/.cache/pip/wheels/b4/33/6d/d0820be98063da218c3206fbad2381cd2db3fbb1a0f0d254b5\n",
+ "Successfully built stringcase\n",
+ "Installing collected packages: stringcase, Werkzeug, retrying, Flask, dash\n",
+ " Attempting uninstall: Werkzeug\n",
+ " Found existing installation: Werkzeug 3.1.3\n",
+ " Uninstalling Werkzeug-3.1.3:\n",
+ " Successfully uninstalled Werkzeug-3.1.3\n",
+ " Attempting uninstall: Flask\n",
+ " Found existing installation: Flask 3.1.0\n",
+ " Uninstalling Flask-3.1.0:\n",
+ " Successfully uninstalled Flask-3.1.0\n",
+ "Successfully installed Flask-3.0.3 Werkzeug-3.0.6 dash-3.0.0 retrying-1.3.4 stringcase-1.2.0\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import dash\n",
+ "from dash import dcc, html\n",
+ "import plotly.express as px\n",
+ "import pandas as pd\n",
+ "\n",
+ "# Load dataset\n",
+ "df = pd.read_csv(\"digital_marketing_campaign_dataset.csv\")\n",
+ "\n",
+ "# Create dashboard app\n",
+ "app = dash.Dash(__name__)\n",
+ "\n",
+ "# Ad Spend vs. Conversion Rate Scatterplot\n",
+ "scatter_fig = px.scatter(df, x=\"AdSpend\", y=\"ConversionRate\",\n",
+ " color=\"CampaignChannel\",\n",
+ " title=\"Ad Spend vs. Conversion Rate\")\n",
+ "\n",
+ "# Campaign Type vs. Conversion Rate Boxplot\n",
+ "boxplot_fig = px.box(df, x=\"CampaignType\", y=\"ConversionRate\",\n",
+ " title=\"Conversion Rate by Campaign Type\")\n",
+ "\n",
+ "# Layout\n",
+ "app.layout = html.Div(children=[\n",
+ " html.H1(\"Marketing Analytics Dashboard\"),\n",
+ "\n",
+ " dcc.Graph(id=\"scatter_plot\", figure=scatter_fig),\n",
+ "\n",
+ " dcc.Graph(id=\"boxplot\", figure=boxplot_fig)\n",
+ "])\n",
+ "\n",
+ "if __name__ == '__main__':\n",
+ " app.run(debug=True)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 671
+ },
+ "id": "elozaznLUEgs",
+ "outputId": "25a34f46-db5e-42fb-9ce0-32445695b3a9"
+ },
+ "execution_count": 8,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "application/javascript": [
+ "(async (port, path, width, height, cache, element) => {\n",
+ " if (!google.colab.kernel.accessAllowed && !cache) {\n",
+ " return;\n",
+ " }\n",
+ " element.appendChild(document.createTextNode(''));\n",
+ " const url = await google.colab.kernel.proxyPort(port, {cache});\n",
+ " const iframe = document.createElement('iframe');\n",
+ " iframe.src = new URL(path, url).toString();\n",
+ " iframe.height = height;\n",
+ " iframe.width = width;\n",
+ " iframe.style.border = 0;\n",
+ " iframe.allow = [\n",
+ " 'accelerometer',\n",
+ " 'autoplay',\n",
+ " 'camera',\n",
+ " 'clipboard-read',\n",
+ " 'clipboard-write',\n",
+ " 'gyroscope',\n",
+ " 'magnetometer',\n",
+ " 'microphone',\n",
+ " 'serial',\n",
+ " 'usb',\n",
+ " 'xr-spatial-tracking',\n",
+ " ].join('; ');\n",
+ " element.appendChild(iframe);\n",
+ " })(8050, \"/\", \"100%\", 650, false, window.element)"
+ ]
+ },
+ "metadata": {}
+ }
+ ]
+ }
+ ]
+}
\ No newline at end of file
diff --git a/Untitled3.ipynb b/Untitled3.ipynb
new file mode 100644
index 0000000..7a03917
--- /dev/null
+++ b/Untitled3.ipynb
@@ -0,0 +1,798 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+ "colab": {
+ "provenance": [],
+ "authorship_tag": "ABX9TyPz9gRO4eLwtCDMeevIY3vW",
+ "include_colab_link": true
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ }
+ },
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "view-in-github",
+ "colab_type": "text"
+ },
+ "source": [
+ "
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "data= [115, 21, 29, 21, 15, 24, 32, 21, 15, 301]\n",
+ "mean= np.mean (data)\n",
+ "med= np.median (data)\n",
+ "mode= pd.Series (data).mode() [0]\n",
+ "var= np.var(data)\n",
+ "std= np.std(data)\n",
+ "print(\"Mean:\", mean, \"\\nMedian:\", med, \"\\nMode:\", mode, \"\\nVarience:\", var, \"\\nStandard deviation:\", std)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "4OSbE3awn25q",
+ "outputId": "55fa8593-10b1-4e27-97cf-e8b2c464d1ce"
+ },
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Mean: 59.4 \n",
+ "Median: 22.5 \n",
+ "Mode: 21 \n",
+ "Varience: 7275.639999999999 \n",
+ "Standard deviation: 85.29736221009416\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "df_robot = pd.read_csv(\"robot_dataset(robot_dataset)_1(in).csv\")\n",
+ "avg_interactions= df_robot[\"Interaction_Count\"].mean()\n",
+ "steps_total= df_robot[\"Steps_Walked\"].sum()\n",
+ "energy_max= df_robot [\"Energy_Consumption (kWh)\"].max()\n",
+ "energy_min= df_robot [\"Energy_Consumption (kWh)\"].min()\n",
+ "steps_energy_corr = df_robot[\"Steps_Walked\"].corr(df_robot[\"Energy_Consumption (kWh)\"])\n",
+ "learning_var= df_robot[\"Learning_Sessions\"].var()\n",
+ "print(f\"The average (mean) number of conversations the robot has daily is {avg_interactions}\")\n",
+ "print(f\"The total number of steps walked by the robot over the given period is {steps_total}\")\n",
+ "print(f\"The highest energy consumption recorded in the dataset is {energy_max}\")\n",
+ "print(f\"The lowest energy consumption recorded in the dataset is {energy_min}\")\n",
+ "print(f\"Correlation between steps walked and energy consumption: {steps_energy_corr}\")\n",
+ "print(f\"The variance in the number of learning sessions completed is {learning_var}\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "tJrv8Ug3qOMz",
+ "outputId": "fc55ebd4-b025-43a5-8b91-24849662bf2d"
+ },
+ "execution_count": 10,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "The average (mean) number of conversations the robot has daily is 5.51\n",
+ "The total number of steps walked by the robot over the given period is 14379\n",
+ "The highest energy consumption recorded in the dataset is 3.0\n",
+ "The lowest energy consumption recorded in the dataset is 1.0\n",
+ "Correlation between steps walked and energy consumption: 0.0015478137393313933\n",
+ "The variance in the number of learning sessions completed is 391.9422845691385\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "person_name = \"Ryan\"\n",
+ "person_age = 7\n",
+ "person_height = 14.8\n",
+ "is_online = False\n",
+ "print(f\"Name: {person_name}, Age: {person_age}, Height: {person_height}, Online: {is_online}\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "Ui6RPWjr14nM",
+ "outputId": "35f4cd4e-f464-407e-bb74-0f554ef4b4b5"
+ },
+ "execution_count": 23,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Name: Ryan, Age: 7, Height: 14.8, Online: False\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "num = int(input(\"Enter an integer: \"))\n",
+ "if num > 0:\n",
+ " print(f\"{num} is positive.\")\n",
+ "elif num < 0:\n",
+ " print(f\"{num} is negative.\")\n",
+ "else:\n",
+ " print(f\"{num} is zero.\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "3nnDsR0t2D7h",
+ "outputId": "7811d56f-abfc-4fa1-9674-a990cb1c0604"
+ },
+ "execution_count": 24,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Enter an integer: 23\n",
+ "23 is positive.\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "num=int(input(\"Enter a number: \"))\n",
+ "for i in range (1,11):\n",
+ " print(f\"{num}×{i} = {num*i}\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "GEu3vmJB1tqp",
+ "outputId": "43a76d93-6cd9-40a8-b66f-77b09b9eb230"
+ },
+ "execution_count": 22,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Enter a number: 17\n",
+ "17×1 = 17\n",
+ "17×2 = 34\n",
+ "17×3 = 51\n",
+ "17×4 = 68\n",
+ "17×5 = 85\n",
+ "17×6 = 102\n",
+ "17×7 = 119\n",
+ "17×8 = 136\n",
+ "17×9 = 153\n",
+ "17×10 = 170\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "fQSO1-G4kJtb",
+ "outputId": "3269c704-743b-4b03-9ae6-2ae7a0b305a3"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "First fruit: Mango\n",
+ "List after appending a fruit: ['Mango', 'Peach', 'Grapes', 'Apple', 'Pineapple', 'Strawberry']\n",
+ "List after removing Peach: ['Mango', 'Grapes', 'Apple', 'Pineapple', 'Strawberry']\n",
+ "List after sorting alphabetically: ['Apple', 'Grapes', 'Mango', 'Pineapple', 'Strawberry']\n",
+ "Length of the list: 5\n"
+ ]
+ }
+ ],
+ "source": [
+ "fruit_list = [\"Mango\", \"Peach\", \"Grapes\", \"Apple\", \"Pineapple\"]\n",
+ "# 1. Accessing the first fruit\n",
+ "print(\"First fruit:\", fruit_list[0])\n",
+ "# 2. Appending a new fruit to the list\n",
+ "fruit_list.append(\"Strawberry\")\n",
+ "print(\"List after appending a fruit:\", fruit_list)\n",
+ "# 3. Removing a fruit from the list\n",
+ "fruit_list.remove(\"Peach\")\n",
+ "print(\"List after removing Peach:\", fruit_list)\n",
+ "# 4. Sorting the list in alphabetical order\n",
+ "fruit_list.sort()\n",
+ "print(\"List after sorting alphabetically:\", fruit_list)\n",
+ "# 5. Length of the list\n",
+ "print(\"Length of the list:\", len(fruit_list))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Creating a tuple with 5 numbers\n",
+ "data_tuple = (12, 24, 36, 48, 60)\n",
+ "# 1. Accessing an element in the tuple\n",
+ "print(\"First number:\", data_tuple[0])\n",
+ "# 2. Slicing the tuple (getting the first 3 numbers)\n",
+ "print(\"First three numbers:\", data_tuple[:3])\n",
+ "# 3. Getting the length of the tuple\n",
+ "print(\"Length of the tuple:\", len(data_tuple))\n",
+ "# 4. Counting the occurrences of a number in the tuple\n",
+ "count_of_24 = data_tuple.count(24)\n",
+ "print(\"Count of 24 in the tuple:\", count_of_24)\n",
+ "# 5. Finding the index of a number in the tuple\n",
+ "index_of_48 = data_tuple.index(48)\n",
+ "print(\"Index of 48 in the tuple:\", index_of_48)\n",
+ "# 6. Converting the tuple to a list\n",
+ "data_list = list(data_tuple)\n",
+ "print(\"Tuple converted to list:\", data_list)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "KI_HDjyvmbUE",
+ "outputId": "0ac6eca4-3a54-46dd-d2f4-ef12aa0b7e2d"
+ },
+ "execution_count": 2,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "First number: 12\n",
+ "First three numbers: (12, 24, 36)\n",
+ "Length of the tuple: 5\n",
+ "Count of 24 in the tuple: 1\n",
+ "Index of 48 in the tuple: 3\n",
+ "Tuple converted to list: [12, 24, 36, 48, 60]\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "grades_dict = {\"Ethan\": 88, \"Sophia\": 93, \"Liam\": 80}\n",
+ "# 1. Accessing the marks of a specific student\n",
+ "print(\"Marks of Ethan:\", grades_dict[\"Ethan\"])\n",
+ "# 2. Adding a new student and their marks to the dictionary\n",
+ "grades_dict[\"Olivia\"] = 96\n",
+ "print(\"Dictionary after adding a new student:\", grades_dict)\n",
+ "# 3. Updating the marks of an existing student\n",
+ "grades_dict[\"Sophia\"] = 98\n",
+ "print(\"Dictionary after updating Sophia's marks:\", grades_dict)\n",
+ "# 4. Removing a student from the dictionary\n",
+ "del grades_dict[\"Liam\"]\n",
+ "print(\"Dictionary after removing Liam:\", grades_dict)\n",
+ "# 5. Getting the total number of students\n",
+ "print(\"Total number of students:\", len(grades_dict))\n",
+ "# 6. Iterating over the dictionary to print all students and their marks\n",
+ "for student, marks in grades_dict.items():\n",
+ " print(f\"{student}: {marks}\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "OCdHsceOo7-B",
+ "outputId": "6eb74a7e-a447-4798-d8d3-5077692fd274"
+ },
+ "execution_count": 4,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Marks of Ethan: 88\n",
+ "Dictionary after adding a new student: {'Ethan': 88, 'Sophia': 93, 'Liam': 80, 'Olivia': 96}\n",
+ "Dictionary after updating Sophia's marks: {'Ethan': 88, 'Sophia': 98, 'Liam': 80, 'Olivia': 96}\n",
+ "Dictionary after removing Liam: {'Ethan': 88, 'Sophia': 98, 'Olivia': 96}\n",
+ "Total number of students: 3\n",
+ "Ethan: 88\n",
+ "Sophia: 98\n",
+ "Olivia: 96\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Creating two sets of integers\n",
+ "groupA = {10, 20, 30, 40, 50}\n",
+ "groupB = {40, 50, 60, 70, 80}\n",
+ "# 1. Union of the sets (all elements from both sets)\n",
+ "union_set = groupA | groupB\n",
+ "print(\"Union of groupA and groupB:\", union_set)\n",
+ "# 2. Intersection of the sets (common elements between both sets)\n",
+ "intersection_set = groupA & groupB\n",
+ "print(\"Intersection of groupA and groupB:\", intersection_set)\n",
+ "# 3. Difference of the sets (elements in groupA but not in groupB)\n",
+ "difference_set = groupA - groupB\n",
+ "print(\"Difference of groupA and groupB:\", difference_set)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "dXK1EZNrp0k8",
+ "outputId": "b018b6a1-7935-4fd1-efb8-4c67fc8f30e9"
+ },
+ "execution_count": 5,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Union of groupA and groupB: {70, 40, 10, 80, 50, 20, 60, 30}\n",
+ "Intersection of groupA and groupB: {40, 50}\n",
+ "Difference of groupA and groupB: {10, 20, 30}\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "def get_maximum(values):\n",
+ " if not values:\n",
+ " return None\n",
+ " return max(values)\n",
+ "\n",
+ "nums = list(map(int, input(\"Enter numbers separated by spaces: \").split()))\n",
+ "max_num = get_maximum(nums)\n",
+ "print(\"The maximum number is:\", max_num)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "Dk0dTYLgtQo8",
+ "outputId": "7f986d03-6120-42d1-d6fc-e20f87789be6"
+ },
+ "execution_count": 12,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Enter numbers separated by spaces: 22 34 65 98 72 31 85\n",
+ "The maximum number is: 98\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "squared_evens = [num**2 for num in range(2, 22) if num % 2 == 0]\n",
+ "print(squared_evens)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "-AG1r8XEt8r2",
+ "outputId": "9a16c417-f059-4730-c970-45d7bc5dca8f"
+ },
+ "execution_count": 13,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "[4, 16, 36, 64, 100, 144, 196, 256, 324, 400]\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "multiply = lambda a, b: a * b\n",
+ "p, q = map(int, input(\"Enter two numbers: \").split())\n",
+ "print(f\"Multiplication Result: {multiply(p, q)}\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "-Y0laX5jujrD",
+ "outputId": "1c24732d-8e44-43e7-c895-f4879589a003"
+ },
+ "execution_count": 14,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Enter two numbers: 6 5\n",
+ "Multiplication Result: 30\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import numpy as np\n",
+ "# 1D Array\n",
+ "array_1d = np.array([4, 8, 15, 16, 23, 42])\n",
+ "print(\"One-dimensional array:\\n\", array_1d)\n",
+ "print(\"Shape:\", array_1d.shape)\n",
+ "print(\"Number of dimensions:\", array_1d.ndim)\n",
+ "# 2D Array\n",
+ "array_2d = np.array([[1, 3, 5], [7, 9, 11]])\n",
+ "print(\"\\nTwo-dimensional array:\\n\", array_2d)\n",
+ "print(\"Shape:\", array_2d.shape)\n",
+ "print(\"Number of dimensions:\", array_2d.ndim)\n",
+ "# 3D Array\n",
+ "array_3d = np.array([[[2, 4], [6, 8]], [[10, 12], [14, 16]]])\n",
+ "print(\"\\nThree-dimensional array:\\n\", array_3d)\n",
+ "print(\"Shape:\", array_3d.shape)\n",
+ "print(\"Number of dimensions:\", array_3d.ndim)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "caAWYDlzvAfO",
+ "outputId": "c724308d-97e8-4efa-dbdc-7c9e5a6b95ed"
+ },
+ "execution_count": 15,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "One-dimensional array:\n",
+ " [ 4 8 15 16 23 42]\n",
+ "Shape: (6,)\n",
+ "Number of dimensions: 1\n",
+ "\n",
+ "Two-dimensional array:\n",
+ " [[ 1 3 5]\n",
+ " [ 7 9 11]]\n",
+ "Shape: (2, 3)\n",
+ "Number of dimensions: 2\n",
+ "\n",
+ "Three-dimensional array:\n",
+ " [[[ 2 4]\n",
+ " [ 6 8]]\n",
+ "\n",
+ " [[10 12]\n",
+ " [14 16]]]\n",
+ "Shape: (2, 2, 2)\n",
+ "Number of dimensions: 3\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import numpy as np\n",
+ "# Creating a 5x5 array of random integers between 1 and 100\n",
+ "random_matrix = np.random.randint(1, 100, (5, 5))\n",
+ "print(\"Random 5x5 Matrix:\\n\", random_matrix)\n",
+ "# Accessing specific elements and subarrays\n",
+ "element = random_matrix[1, 2]\n",
+ "print(\"\\nElement at row 2, column 3:\", element)\n",
+ "second_row = random_matrix[1, :]\n",
+ "print(\"Second row:\", second_row)\n",
+ "third_column = random_matrix[:, 2]\n",
+ "print(\"Third column:\", third_column)\n",
+ "subarray = random_matrix[0:2, 1:3]\n",
+ "print(\"Subarray (rows 1 and 2, columns 2 and 3):\\n\", subarray)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "_s67Grc0wlGd",
+ "outputId": "eed6265a-c903-4f00-9590-2b63858771cd"
+ },
+ "execution_count": 16,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Random 5x5 Matrix:\n",
+ " [[67 49 51 98 84]\n",
+ " [ 4 33 44 71 47]\n",
+ " [59 77 9 43 88]\n",
+ " [77 23 88 60 54]\n",
+ " [27 41 36 8 20]]\n",
+ "\n",
+ "Element at row 2, column 3: 44\n",
+ "Second row: [ 4 33 44 71 47]\n",
+ "Third column: [51 44 9 88 36]\n",
+ "Subarray (rows 1 and 2, columns 2 and 3):\n",
+ " [[49 51]\n",
+ " [33 44]]\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import numpy as np\n",
+ "# Creating a 4x4 array with numbers from 1 to 16\n",
+ "array_4x4 = np.arange(1, 17).reshape(4, 4)\n",
+ "print(\"Original 4x4 Array:\\n\", array_4x4)\n",
+ "# Slicing the first 2 rows and first 2 columns\n",
+ "sliced_part = array_4x4[:2, :2]\n",
+ "print(\"\\nSliced Array (first 2 rows and first 2 columns):\\n\", sliced_part)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "nAqUS5uhxgTm",
+ "outputId": "781c7639-b23c-485e-bf73-7755ca9fcc55"
+ },
+ "execution_count": 17,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Original 4x4 Array:\n",
+ " [[ 1 2 3 4]\n",
+ " [ 5 6 7 8]\n",
+ " [ 9 10 11 12]\n",
+ " [13 14 15 16]]\n",
+ "\n",
+ "Sliced Array (first 2 rows and first 2 columns):\n",
+ " [[1 2]\n",
+ " [5 6]]\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import numpy as np\n",
+ "# Creating a 2D array of shape (6,2) with numbers from 1 to 12\n",
+ "array_2d = np.arange(1, 13).reshape(6, 2)\n",
+ "print(\"Original 2D Array (6x2):\\n\", array_2d)\n",
+ "# Reshaping to a 3D array of shape (2, 3, 2)\n",
+ "array_3d = array_2d.reshape(2, 3, 2)\n",
+ "print(\"\\nReshaped 3D Array (2x3x2):\\n\", array_3d)\n",
+ "# Flattening the array\n",
+ "flattened_array = array_3d.flatten()\n",
+ "print(\"\\nFlattened Array:\\n\", flattened_array)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "m9Xt04fCx_qZ",
+ "outputId": "79b106fc-70b9-45d2-e2b8-13e1f13db979"
+ },
+ "execution_count": 18,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Original 2D Array (6x2):\n",
+ " [[ 1 2]\n",
+ " [ 3 4]\n",
+ " [ 5 6]\n",
+ " [ 7 8]\n",
+ " [ 9 10]\n",
+ " [11 12]]\n",
+ "\n",
+ "Reshaped 3D Array (2x3x2):\n",
+ " [[[ 1 2]\n",
+ " [ 3 4]\n",
+ " [ 5 6]]\n",
+ "\n",
+ " [[ 7 8]\n",
+ " [ 9 10]\n",
+ " [11 12]]]\n",
+ "\n",
+ "Flattened Array:\n",
+ " [ 1 2 3 4 5 6 7 8 9 10 11 12]\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import numpy as np\n",
+ "# Creating a 3x3 array\n",
+ "array_3x3 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n",
+ "print(\"Original 3x3 Array:\\n\", array_3x3)\n",
+ "# Creating a 1x3 array\n",
+ "array_1d = np.array([[10, 20, 30]])\n",
+ "print(\"\\n1D Array to be added:\\n\", array_1d)\n",
+ "# Broadcasting operation\n",
+ "broadcasted_result = array_3x3 + array_1d\n",
+ "print(\"\\nResult after broadcasting:\\n\", broadcasted_result)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "tvICKHZnzHkf",
+ "outputId": "aa3e29d0-89dc-46ee-9360-838f199c0d8a"
+ },
+ "execution_count": 19,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Original 3x3 Array:\n",
+ " [[1 2 3]\n",
+ " [4 5 6]\n",
+ " [7 8 9]]\n",
+ "\n",
+ "1D Array to be added:\n",
+ " [[10 20 30]]\n",
+ "\n",
+ "Result after broadcasting:\n",
+ " [[11 22 33]\n",
+ " [14 25 36]\n",
+ " [17 28 39]]\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import numpy as np\n",
+ "# Creating two 2x3 arrays\n",
+ "A = np.array([[1, 2, 3], [4, 5, 6]])\n",
+ "B = np.array([[7, 8, 9], [10, 11, 12]])\n",
+ "print(\"Array A:\\n\", A)\n",
+ "print(\"\\nArray B:\\n\", B)\n",
+ "# Element-wise Addition\n",
+ "add_result = A + B\n",
+ "print(\"\\nElement-wise Addition:\\n\", add_result)\n",
+ "# Element-wise Subtraction\n",
+ "sub_result = A - B\n",
+ "print(\"\\nElement-wise Subtraction:\\n\", sub_result)\n",
+ "# Element-wise Multiplication\n",
+ "mul_result = A * B\n",
+ "print(\"\\nElement-wise Multiplication:\\n\", mul_result)\n",
+ "# Element-wise Division\n",
+ "div_result = A / B\n",
+ "print(\"\\nElement-wise Division:\\n\", div_result)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "nWp-P7QBzkb7",
+ "outputId": "721a1f72-675e-45e0-9d71-3161339e5cf0"
+ },
+ "execution_count": 20,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Array A:\n",
+ " [[1 2 3]\n",
+ " [4 5 6]]\n",
+ "\n",
+ "Array B:\n",
+ " [[ 7 8 9]\n",
+ " [10 11 12]]\n",
+ "\n",
+ "Element-wise Addition:\n",
+ " [[ 8 10 12]\n",
+ " [14 16 18]]\n",
+ "\n",
+ "Element-wise Subtraction:\n",
+ " [[-6 -6 -6]\n",
+ " [-6 -6 -6]]\n",
+ "\n",
+ "Element-wise Multiplication:\n",
+ " [[ 7 16 27]\n",
+ " [40 55 72]]\n",
+ "\n",
+ "Element-wise Division:\n",
+ " [[0.14285714 0.25 0.33333333]\n",
+ " [0.4 0.45454545 0.5 ]]\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import pandas as pd\n",
+ "# Creating the DataFrame with student names and marks\n",
+ "data = {\n",
+ " 'Name': ['John', 'Alice', 'Bob'],\n",
+ " 'Math': [85, 92, 78],\n",
+ " 'Science': [88, 94, 82],\n",
+ " 'English': [90, 89, 75]\n",
+ "}\n",
+ "df = pd.DataFrame(data)\n",
+ "print(\"Original DataFrame:\\n\", df)\n",
+ "# Adding 'Total' column\n",
+ "df['Total'] = df['Math'] + df['Science'] + df['English']\n",
+ "# Function to assign grades based on Total\n",
+ "def assign_grade(total):\n",
+ " if total >= 270:\n",
+ " return 'A'\n",
+ " elif total >= 240:\n",
+ " return 'B'\n",
+ " elif total >= 210:\n",
+ " return 'C'\n",
+ " else:\n",
+ " return 'D'\n",
+ "# Adding 'Grade' column\n",
+ "df['Grade'] = df['Total'].apply(assign_grade)\n",
+ "print(\"\\nUpdated DataFrame with 'Total' and 'Grade':\\n\", df)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "5Bqhx3kG03xT",
+ "outputId": "27ab6495-62e4-457d-ec00-a22cc5c91c7e"
+ },
+ "execution_count": 21,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Original DataFrame:\n",
+ " Name Math Science English\n",
+ "0 John 85 88 90\n",
+ "1 Alice 92 94 89\n",
+ "2 Bob 78 82 75\n",
+ "\n",
+ "Updated DataFrame with 'Total' and 'Grade':\n",
+ " Name Math Science English Total Grade\n",
+ "0 John 85 88 90 263 B\n",
+ "1 Alice 92 94 89 275 A\n",
+ "2 Bob 78 82 75 235 C\n"
+ ]
+ }
+ ]
+ }
+ ]
+}
\ No newline at end of file