- Downloads the ZIP file
- Unzips the ZIP file to the current working directory
- loads the testing data (subjects, x, and y)
- loads the training data(subjects, x, and y)
- loads the 'features' and 'activity labels' dimensions
- combines the x, y, and subject data sets between test and train
- removes columns within the x data set that don't contain 'mean()' or 'std()'
- smooshes x, y, and subjects together (using cbind)
- adds nice names to the combined data set
- pivots the data from wide to long
- calculates out the mean of the subject and activity for each column of x
- writes the data out to a .txt file (tidy_data_means_output.txt)