GettingAndCleaningData_Project

This is the final project for Coursera "Getting and Cleaning Data" course. Repo contains three files.

run_analysis.R

contains the code to run in R. Code 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.

CodeBook.md

describes the variables, the data, and any transformations or work that were performed to clean up the data.

tidy.txt

a tidy data set obtained after running the code from run_analysis.R file.