##Project for Getting and Cleaning Data Course ##https://class.coursera.org/getdata-006
The purpose of this project is to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.
The following tasks are required:
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prepare tidy data set, use it for analysis, then upload the results.
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upload the R script, CodeBook and related files to a Github repository (including this README.md)
The data for this project was obtained from: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
For complete information about the original data source, please see: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
The R script called run_analysis.R performs the following steps.
-- Merges 6 training and the test sets to create one tidy 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.
-- Creates a second, independent tidy data set with the average of each variable
for each activity and each subject.
Please see the detailed comments within the R script that describe each step in more detail.