Getting and Cleaning Data Course Project

Overview and Contents

Student name: Jeffrey Radick Date: April 26, 2015

This repo contains my submission for the project assignment for the course Coursera course "Getting and Cleaning Data" given during April 2015 (course session id getdata-013) as part of the Data Science Specialization.

Contents of this repo are: README.md this file run_analysis.R the script for producing the analysis tidy.data.txt the "tidy data" produced by the script CodeBook.md the Code Book for the data

General Remarks

As of when I'm writing this (1:44pm PDT / 8:44pm UTC on the due date), I haven't been able to get the summary to come out so my results are incomplete, and I don't have an actual tidy data file to upload. My script does all the other stuff, though, and I believe it to be correct although I think probably there has to be a simpler way to do some of it.

I'm having trouble getting the formatting correct for the Code Book. I have a couple of tables that look fine in plain text but get completely messed up by MarkDown and I don't know how to fix it. I don't see anything about table formatting in the MarkDown documentation. As it is, the table as rendedred by the web server on github looks unreadable. It looks fine if you download the text and look at it as a plain ASCII file.

The comments in the code (run_analysis.R) are extensive and I hope clear as to what I was trying to do and how I was trying to do it.

Input Data

A specified for the assignment, the data set processed by the script is extracted from the zip file downloaded from the URL https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip

The script assumes that this file is extracted in a subdirectory "data" relative to where the script is run. That is, the directory containing the run_analysis.R script has a subdirectory "data", and the result of extracting the zip file there is a subdirectory "UCI HAR Dataset" which in turn contains all of the data files.

The following files are included:

• README.txt Explanation of the data set
• activity_labels.txt List of codes for 6 activity labels used in the data
• features.txt List of codes for 561 feature labels used
• features_info.txt Description of the features and labelling
• test/X_test.txt Test data values for the 561 feature variables
• test/subject_test.txt Test data subject codes for each line of X_test.txt
• test/y_test.txt Test data activity codes for each line of X_test.txt
• train/X_train.txt Training data values for the 561 feature variables
• train/subject_train.txt Training data subject codes for each line
• train/y_train.txt Training data activity codes for each line

In addition, the test and train subdirectories each contain a further subdirectory Inertial Signals containing files which are not used.

Output Data

The output data is described in the CodeBook.md file.