CodeBook.md

#Code Book

Below explains each of the variable used in the process to get the tidy data set:

• x_train, y_train and subject_train refer to the raw data read in from the train data sets
• x_test, y_test and subject_test refer to the raw data read in from the test data sets
• x, y and subject contain raw data merged from both the train and test data sets
• features contains the feature names that represent each of the columns in x
• selected_features is a subset of features that contains only the features we need, the mean and std value
• activity_labels contains the loaded activity labels
• y_names is actually y, but replace the numeric values in y with descriptive activity names
• data contains all the data that binds x - the selected features values, y_names - the activity with descriptive names and subject altogether
• melted contains narrow version of data
• tidy contains the tidy data set of each variable for each activity and each subject

Outcome of the script is a file named tidy.txt that contains data of tidy