This course project target is for review the Getting and Cleaning Data Coursera course.
The project related description is in : CodeBook.md
The R source code is run_analysis.R, and it does the following:
Load the activity and feature info. Loads both the training and test datasets, keeping only those columns which reflect a mean or standard deviation Loads the activity and subject data for each dataset, and merges those columns with the dataset Merges the two datasets Gsub the activity columns names Creates a tidy dataset that consists of the average (mean) value of each variable for each subject and activity pair by using group_by and summarise_each.
The result is shown in the file tidy_group_data.txt.