linzhaowei / getdata-008-course-project

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Getting and Cleaning Data Course Project

Introduction

This is a repo for my Getting and Cleaning Data Course Project on Coursera. The run_analysis.R script processes a raw dataset and saves a new "tidy" dataset in txt format.

Raw Data

The original dataset contains 10299 instances with 561 attributes, collected from 30 test subjects using the Samsung Galaxy S smartphone.

More details can be found here:

http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

The dataset can be downloaded here:

https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip

How to use the script

This repo contains one R script called run_analysis.R, which will run in the working directory.

Before running it, you will need to extract the data set into a folder named "data" in the working directory.

To run the script, type: source("run_analysis.R")

When the script finishes running, a tidy dataset in txt format ("data_tidy.txt") will be saved in the working directory.

The Codebook

The Codebook explains the transformations made to the dataset and the reasoning behind the transformations.

Further reading

To find out more about tidy datasets, do read Hadley Wickham's paper Tidy Data.

http://vita.had.co.nz/papers/tidy-data.pdf