The purpose of this project is to demonstrate my ability to collect, work with, and clean a data set.
1 - The submitted data set is tidy.
2 - The Github repo contains the required scripts.
3 - GitHub contains a code book that modifies and updates the available codebooks with the data to indicate all the variables and summaries calculated, along with units, and any other relevant information.
4 - this README explains the analysis files, it is clear and understandable.
The R script called run_analysis.R that does the following.
1 - Merges the training and the test sets to create one data set.
2 - Extracts only the measurements on the mean and standard deviation for each measurement.
3 - Uses descriptive activity names to name the activities in the data set
4 - Appropriately labels the data set with descriptive variable names.
5 - From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject.
6 - The results are saved in to the tidy_data.txt file.