- Merging the training and the test sets.
- Extracts mean and standard deviation.
- Using descriptive activity names.
- Appropriately labeling.
- Creating second tidy dataset for average.
x_train, y_train, x_test, y_test are the variables which contain the train and test datasets.
merged_train contains the merge table of train dataset and subject_train using cbind(). Similarly for merged_test
entire_data formed by merging merged_train and merged_test using rbind().
mean_std_data formed by patterning match the columns which contains mean, std, subID, actID in it.