The purpose of this Coursera project is to demonstrate the ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. The R script, 'run_analysis.R', executes the following:
- Download and unzip the Samsung Galaxy S smartphone accelermeter data if it does not exist.
- Loads the training and test data sets.
- Combines the data set, activity labels, and training subject labels by column for both training and test data sets.
- Combines training and test data set objects by row.
- Extracts only the measurements on the mean and standard deviation for each measurement.
- Names the activities using the descriptive activity labels.
- Names the measurement variables with the descriptive measurement feature.
- Calculates average of each variable for each activity and each subject.
The end result is 'tidy_data.txt'.