Getting and Cleaning Data - Course Project
This repository hosts the R code and documentation files for the Data Science's track course "Getting and Cleaning data", available in coursera.
The data linked to from the course website represent data collected from the accelerometers from the Samsung Galaxy S smartphone.
Files
The code takes for granted all the data is present in the same folder, un-compressed and without names altered.
CodeBook.md describes the variables, the data, and any transformations or work that was performed to clean up the data.
run_analysis.R contains all the code to perform the analyses described in the 5 steps. They can be launched in RStudio by just importing the file.
The output of the 5th step is called averages_data.txt, and uploaded in the course project's form.