Getting and Cleaning Data Project

Intro

This is a repository for the submission of the Getting and Cleaning Data course project. This repository hosts the R script file and documentation files.

The purpose of this project is to demonstrate ability to collect, work with, and clean a data set.

A full description is available at the site where the data was obtained: Human Activity Recognition Using Smartphones The data linked to website represent data collected from the accelerometers from the Samsung Galaxy S smartphone.

Running the script

1. Unzip the data for the project
2. Set the default path of the working directory as "getdata-projectfiles-UCI HAR Dataset\UCI HAR Dataset"
3. Put run_analysis.R in the working directory
4. Run run_analysis.R
5. The resulting clean dataset.txt will be available in the working directory

** this R script uses the data.table library. You can install it using install.packages("data.table") command.

Project Files

CodeBook.MD - describes the variables

run_analysis.R- contains the code to perform the analyses

dataset.txt - the output