READ ME

Context

Exercise in the frame of the course "Getting and Cleaning Data"

https://class.coursera.org/getdata-003/

Objectives

From a raw public datasets, build tidy dataset ready for later analysis

Tool used for that is R.

Content of repository

The repository contains:

• README.md
• UCI HAR Dataset.zip : raw data compressed (inputs)
• summarized-data.txt : tidy summarized data (output)
• run_analysis.R : script transforming the raw datasets into tidy one
• codebook.md : description of data

Instructions

Pre-requisites :

• R already installed
• R package "reshape2" installed, otherwise run in R:

install.packages("reshape2")

Steps:

1. Unzip the raw data in a folder
2. Download and put the script "run_analysis.R" in same folder
3. Launch R
4. Set working directory as the folder in which raw data are unzipped
5. write following command:

source("run_analysis.R")

Output

When "COMPLETED" :

• A tidy dataset summarizing the variables from train and test datasets for each pair activity / subject : "summarized-data.txt"

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Author: Jean-Sebastien Gourdet