TidyHumanActivity

Getting and Cleaning Data Course Project

This repository was done in partial fulfillment of the "Getting and Cleaning Data Course" offered by Johns Hopkins University. The data set contained in "UCI_HAR_Dataset" was provided. This data set represent data collected from the accelerometers from the Samsung Galaxy S smartphone. A full description is available at the site where the data was obtained:

http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

run_analysis.r is the script that processes the data set according to the project requirements. run_analysis.R generates the "Tidy_Data.csv" in five steps:

1. It merges the training and the test sets to create one data set.
2. It selects the measurements on the mean and standard deviation for each measurement and discards the rest.
3. It renames the activities to something descriptive.
4. It renames the data set with descriptive variable names.
5. From the data set in step 4, it calculates average of each variable for each activity and each subject. Then, it writes it to a CSV file.