Coursera class 'Getting and Cleaning Data' / Final Course Project - README

Author: Lisa Salmon // Date: October 26, 2014

The purpose of the final course project for Coursera class "Getting and Cleaning Data" (https://class.coursera.org/getdata-008/) is to take a given set of multiple data files, and create a single tidy data set that is ready for further analysis.

The final submission includes the following:

• run_analysis.R
  The actual R script used to convert the original set of multiple data files into a single tidy data set. Available from GitHub: https://github.com/elslammo/GettingAndCleaningData/blob/master/run_analysis.R

• CodeBook.md
  Describes the original data set, the new tidy data set, and the process followed in run_analysis.R to create the tidy data from the original data. Available from GitHub: https://github.com/elslammo/GettingAndCleaningData/blob/master/CodeBook.md

• README.md
  Describes the project and the submission files. Available from GitHub: https://github.com/elslammo/GettingAndCleaningData/blob/master/README.md

• tidy_data_set.txt
  The final tidy data set created from running the run_analysis.R script. Available from the Coursera course Peer Assessment screen.

Notes

• Before running the run_analysis.R script, the original data files must be downloaded and extracted. Full details are included in the CodeBook.md file.

• The submitted tidy data set can be most easily viewed by first downloading the tidy_data_set.txt file and running the following commands in R:

    data <- read.table(path-to-file, header = TRUE)  
    View(data)
  

  path-to-file must be replaced by the full path to the file on your local computer.