GettingAndCleaningDataCourseProject
This repo contains the submission for the Course Project for the Getting and Cleaning Data course (getdata-007) on Coursera. The purpose of the Course Project is "to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis."
Original Dataset
The original dataset is the Human Activity Recognition Using Smartphones Data Set. It contains the results of experiments with 30 volunteers who performed 6 activities while wearing a smartphone on their waist. The smartphone collected 3-axial linear acceleration and 3-axial angular velocity data, which was used to calculate a vector of features. For full details on the original dataset, we refer to the above link.
Contents
- The script
run_analysis.Rcontains all the steps necessary to download and import the raw data, and to transform it into a tidy dataset. The script requires theutilandplyrR packages to be installed. - The Markdown file
CodeBook.mdcontains the Code Book: a document explaining the variables, the data and the transformations that are performed to clean up the data. - The file
UCI_HAR_tidy.txtcontains the tidy dataset, which can be regenerated by runningrun_analysis.R.