Repo for the submission of the course project for the Getting and Cleaning Data Coursera course. The script, run_analysis.R, does the following:

1. Download the dataset if it is not in the working directory
2. Load the activity and feature info
3. Load both the training and test datasets, keeping only those columns which reflect a mean or standard deviation
4. Loads the activity and subject data for each dataset, and merges those columns with the dataset
5. Merges the two datasets
6. Converts the activity and subject columns into factors
7. Creates a tidy dataset that consists of the average of each variable for each subject and activity pair.

The end result is shown in the file tidy.txt.