This repository hosts the R code and documentation files for the Data Science's track course "Getting and Cleaning data", available in coursera.

#About Data Source: Source DATA for course project is taken from Human Activity Recognition Using Smart-phones Data Set. 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 Below is the link of data for the project: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip

#Files

CodeBook.md describes the how to use all this, 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 tidy.txt file.