The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set.

A full description is available at the site where the data was obtained: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

Here are the data for the project: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip

You should create one R script called run_analysis.R that does the following:

• 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.

• Download and extract data source to local drive (folder: UCI HAR Dataset)
• Set working directory as UCI HAR Dataset in R.
• Run run_analysis.R, which will generate two new files (cleandata1.txt and cleandata2.txt) in working directory.

• run_analysis.R will install two packages automaticall; dplyr and reshape2.