Getting and Cleaning Data - Course Project
This repository hosts the R code and documentation files for "Getting and Cleaning data" course project.
The data linked to from the course website 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
Files
The code in R takes into account that the data used to work on for cleaning purpose is present in the same folder which is un-compressed and their names have also not been altered. Following are the 3 files that will be loaded to the repository as the course assignment:
-
CodeBook.md describes the variables, the data, and any transformations or work that was performed to clean up the data.
-
run_analysis.R contains the code to perform the analysis described in the 5 steps.
-
tidy.txt is the output of the cleaned text with the average of each variable for each activity and each subject.