#GettingAndCleaningDataProject Class Project for Coursera Data Specialization

The data for this project is available from here

It should be unzipped into a Data directory within the same folder as the run_analysis.R file so that the script can find it. (I interpreted "can be run as long as the Samsung data is in your working directory" to allow putting it into a nicely named subdirectory - to leave my main project directory tidy.)

The script creates two data sets, one from the test subdirectory, the other from train, and then combines these sets into one. (Satisfying parts 1-4 of the project requirements.) The script ignores the Inertial Signals subdirectories, since these measures are not used.

It then creates a tall dataset with one line per subject/activity/variable, and then finds the average of each measure for each subject/activity combination (subject 1's average tBodyAccMag-mean() while walking was 0.4567, say), with one line per subject/activity - with a column per activity

Note: I interpret "descriptive variable names" to be satisfied by the names given in the "features.txt" file. These are not very descriptive, but they're all I have. I could make guesses about what tBodyAccMag means, but you might know more about this than me, and by changing the names I might make it harder for you to understand, so I'm leaving them alone.