#Getting and Cleaning Data
This is the repository for the peer assessment project for the Getting and Cleaning Data class of the Johns Hopkins Data Science Specialization signature track.
##run_analysis.R is a script which:
- Merges the training and the test sets to create one data set.
- Extracts only the measurements on the mean and standard deviation for each measurement.
- Uses descriptive activity names to name the activities in the data set
- Appropriately labels the data set with descriptive variable names.
- 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.
##CodeBook.md includes:
- a link to the original dataset
- description of variables used in he data
- marked down code explaining each step of the run_analysis.R script.
##mean_data.txt: The tidied dataset (see item 5 above) which includes the average of each variable for each activity and each subject.