Peer-graded-Assignment-Getting-and-Cleaning-Data-Course-Project

The repository for the final project of the Coursera Data Specialization: Getting and Cleaning Data

Author: John Hamm

Steps

1. Downloads the data and reads it in
2. Merges the training and the test sets to create one data set.
3. Extracts only the measurements on the mean and standard deviation for each measurement.
4. Uses descriptive activity names to name the activities in the data set
5. Appropriately labels the data set with descriptive variable names.
6. 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.