The purpose of this project is to demonstrate our ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.

In this directory you will find two scripts

• get_data.R - Used to download and unzip the dataset
• run_analysis - Used to tidy the data and create and write a tidy data subset

To run the get_data.R script source it and run getData()

To run the run_analysis.R script, source it and run runAnalysis()

runAnalysis() performs the following actions on the raw data;

1. Merges the training and the test sets to create one data set.
2. Extracts only the measurements on the mean and standard deviation for each measurement.
3. Uses descriptive activity names to name the activities in the data set
4. Appropriately labels the data set with descriptive variable names.
5. From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject.