This repository contains programming assignment files for Coursera course "Getting and Cleaning Data", part of the Data Science specialization.
This R script downloads the raw data and processes into a tidy data set. The output is a text file, 'uci-har-tidy-data.txt', containing the average standard deviation and mean values for each combination of activity and subject in the raw dataset.
The Code Book describes the variables in data set, the way data is summarized, and the method used to clean up the data.
The raw data comes from the smartphone accelerometer and gyroscope 3-axial raw signals, which have been processed using various signal processing techniques to measurement vector consisting of 561 features. This site describes the raw data in more detail.
Raw data is stored in the "./data/UCI HAR Dataset/" directory.