Using the UCI HAR Dataset,
- Merges the training and the test sets to create one data set.
- Extracts only the measurements on the mean and standard deviation for each measurement. (those with mean() or std() in the feature name. )
- Uses descriptive activity names to name the activities in the data set. (walking, walking_upstairs, etc)
- Appropriately labels the data set with descriptive variable names. (this was done just by getting the features.txt)
- Creates a second, independent tidy data set with the average of each variable for each activity and each subject. (simplied dataframe, with X1.walking, etc as colnames, then the feature name as rownames)