Getting and Cleaning Data - Project:
Loaded necessary libraries and source scripts.
Assuming getdata-projectfiles-UCI HAR Dataset.zip in the working directory,
unzipped the data.
Loaded activity_labels to use as descriptive activity names.
Loaded features to use as variable name.
Loaded portions of train data and test data.
Combined portions of train data and portions of test data
and combined them together to get one data set mydf.
Merged mydf with activity_labels to get desciptive activity labels.
Selected only the features with mean() and std() for each measurement
and gathered all features as variables
and grouped as required
and summarized with average values
and write down tidy-data.txt file.
Note that the data set written in file has
the average of each variable for each activity and each subject
which is the requirement of the project.