Getting And Cleaning Data

This repo contains the peer assignment for the course Getting and Cleaning Data on Coursera.

Files

This repo contains the following files:

README.md:

This file contains all the required information about this repository.

Author: Jayant Sahewal
Date: Apr-19-2014

run_analysis.R:

This script was created and tested using R Studio v0.98.501 on MacBook Air 2012 model running on OS X v10.9.2 with i7 processor and 8 GB RAM. The R script to do 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 activity names.
Creates a second, independent tidy data set with the average of each variable for each activity and each subject.

codebook.md

the description of resulting datasets, variables, transformations etc.

Reproduce tidy datasets

To reproduce the tidy datasets, please do the following:

Download the zipped file in your working directory from the following URL. https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip A full description of the source data can be found at the site below: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
Run run_anlaysis.R in your working directory where you downloded data