chrislo / getting_and_cleaning_data_project

End-of-module project for Coursera's Getting and Cleaning data course.

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Overview

This repository is a submission for the course project for the Coursera course 'Getting and cleaning data', part of the 'Data Science' specialization.

It produces a "tidy" dataset derived from the Human Activity Recognition Using Smartphones Data Set, in particular the data dump provided to course participants in June 2014.

Running the script

Obtain a copy of the data dump and extract it to a directory called dataset. This directory shoud be in the same directory as run_analysis.R.

The script can then be run from the R command prompt, by changing the working directory to match the location of the script and running

source('run_analysis.R')

How the script works

The file run_analysis.R has explanatory comments describing how and why the data tidying is performed.

Codebook

See CodeBook.md for a description of the variables in the tidy data set.

About

End-of-module project for Coursera's Getting and Cleaning data course.

License:MIT License


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Language:R 100.0%