README

1. Introduction

This repository is destinated to the project of the Coursera "Getting and Cleaning Data" course. The project goal is to transform the UCI-HAR Data Set in tidy data, ready for statistical analisys.

2. Contents

This repo contains:

• CodeBook.md: describes what UCI-HAR raw data should be collected and how it is transformed in tidy data. It also shows the structure of the tidy data.

• run_analisys: the R script which transforms the raw data in tidy data.

3. Software Requirements.

• R statistical software.
• The library "reshape2" installed in R statistical software.
• The UCI-HAR Data Set file. It can be obtained in UCI-HAR site.

4. Instructions

4.1 Download the UCI-HAR data set zipped file (UCI HAR Dataset.zip).

4.2 Unzip the data set file in the same directory of the "run_analisys.R" script. The data files will be stored in the "UCI-HAR Dataset" folder.

4.3 Run the "run_analisys.R" script.

4.4 The output of script is the text file "UCI-HAR-TidyData.txt" which contains the tidy data, ready for analysis.