This is for the Getting and cleaning data course from John Hopkins Coursera. The repo contains 3 main files:

• This readme file to contain the introduction for the repo
• The specbook to introduce anyone to the variables in the dataset provided by Samsung devices
• The run file which runs the code to output a tidy output data

The runfile works in the below sequence:

• Reads the colnames from the features.txt in the working directory
• Reading the training set, subject_train and y_train
• joins the training set with the subject IDs and the activity labels
• Reading the test set, subject_test and y_test
• joins the test set with the subject IDs and the activity labels
• Now Data is ready to be merged
• Select only the participant_id,activity_name and all columns with mean() and std()
• Rename the 1-6 values in the activity_name column to the correspondant values in activity_labels.txt
• Renaming the column variables names for better readability
• Group the merged data with participant_id then activity_name and summarize each column in each group by mean