tidy_data

Week 4 project - Getting and Cleaning Data in R

Author -- Benedict Neo

This is the final project from the Coursera course Getting and Cleaning Data by John Hopkins. The purpose of this project is to demonstrate my ability to collect, work with, and clean a data set.

Repository contents

This repository includes 4 files, the R script named run_analysis.R, this read_me file you're reading now, the codebook file which explains more about the data set and the methodology, and the final tidy data set.

Goal	Item	Link to Item
R Script	run_analysis.R	Link
Read_me file	README.md	Link
CodeBook file	CodeBook.md	Link
Tidy Data file	Clean Data Set	Link

Review criteria of project

1. The submitted data set is tidy.
2. The Github repo contains the required scripts.
3. GitHub contains a code book that modifies and updates the available codebooks with the data to indicate all the variables and summaries calculated, along with units, and any other relevant information.
4. The README that explains the analysis files is clear and understandable.
5. The work submitted for this project is the work of the student who submitted it. Getting and Cleaning Data Course Project

Project theme

Getting and Cleaning Wearables Computing Data

One of the most exciting areas in all of data science right now is wearable computing - see for example this article . Companies like Fitbit, Nike, and Jawbone Up are racing to develop the most advanced algorithms to attract new users. The data linked to from the course website represent data collected from the accelerometers from the Samsung Galaxy S smartphone.

The Data

• Data Zip File: UCI Machine Learning Repo

• Data Description: link

References:

• thoughtful bloke blog
• melting and casting article
• codebook guide