mspcvsp / gettingandcleaningdata

Repository for the Getting & Cleaning Data course project

Getting & Cleaning Data Project

Introduction

This repository illustrates the process of creating a tidy data set for the "University of California, Irvine (UCI) Human Activity Recognition (HAR) Using Smartphones Data Set".

R scripts discussion

Table #1 identifies the three R scripts that are included in the "Getting & Cleaning Data" repository. For example, run_analysis.R is a self-contained script that

1. Downloads the zip file that contains the Human Activity Recognition Using Smartphones data set.
2. Creates a tidy data set from the UCI HAR Smartphone data set mean and standard deviation variables.

Table #1: Getting & Cleaning Data repository R scripts

R script name	Description
run_analysis.R	Creates a tidy data set from UCI HAR Smartphone data set mean and standard deviation variables
plotTidyData.R	Loads a tidy data set generated by run_analysis.R into memory and plots the mean body acceleration magnitude using ggplot
createCodebook.R	Creates HTML tables using the xtable function that are included in CodeBook.md

No changes are required to run this script since the fileURL variable defined on lines 46-48 of run_analysis.R points to the UCI HAR Smartphone data set Uniform Resource Locator (URL) provided in the course project description. In addition, the other two R scripts described in Table #1 (i.e. plotTidyData.R and createCodebook.R) generate results that were included in CodeBook.md.