Repository for Getting & Cleaning Data John Hopkins Data Science Coursera Course

• Assignment is to create a tidy data set from this data: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
• Comments in code, but generally:
• Data was taken from both training and final test data sets;
• The data set was mined for individual tables which then had common names substituted for various activity codes;
• Data set further broken apart to identify the mean and standard deviation of various axial movements of the holder of a cellular phone during the activities;
• Data was merged into a final data set, identifying each individual subject (phone user), activity engaged in, and axial motions mean/standard deviation.
• To replicate, download data and unzip into directory: UCI_HAR_Dataset (the default unzip directory), then run script.
• Script generates output CSV file "Clean_HAR_data.csv" in your working directory.

For more on the data set, see: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones