| title | author | date | output |
|---|---|---|---|
Cleaning Data Course Project: Tidy dataset. |
Jacques.Chatard |
25 février 2018 |
html_document |
this work is part of the assignment concerning the chapter "Getting and Cleaning Data" of the Johns Hopkins University Data Science course on coursera.org.
The original document that contains the base files can be found on:
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Original data comes from : UCI Machine Learning Repository.
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Link (below) for original zipped data files is:
I have downloaded this zip file in my working directory on february 18th 2018. in my working directory unzipped files stand in a new directory named : "UCI HAR Dataset".
.1 Merges the training and the test sets to create one data set.
.2 Extracts only the measurements on the mean and standard deviation for each measurement.
.3 Uses descriptive activity names to name the activities in the data set
.4 Appropriately labels the data set with descriptive variable names.
.5 From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject.