Data Science Project.
Here are the instructions for the project
You should create one 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.
The original data is described in the file Orig-README.txt, included on this git repository.
See code_book.md to see how the data was transformed.