Getting and Cleaning Data Course Project

In this project, data from UCI Human Activity Recognition (HAR) using Smartphones Data Set is used to create a tidy data set containing a subset of the original measurements aggregated over each activity and each subject.

Obtaining the tidy data set

The tidy data set is obtained by running the run_analysis.R script. This script assumes that the UCI HAR data is in the working directory, and it performs the following steps:

• Merges training and test sets of UCI HAR data
• Selects a subset of the measurements in UCI HAR data
• Provides descriptive activity names based on UCI HAR data
• Provides descriptive features labels based on UCI HAR data
• Creates an independent tidy data set with average of selected measurements for each activity and each subject

Codebook

Please refer to CodeBook.md for details of the variables, the data, and the transformations that were performed.