This project was created as part of the "Getting and Cleaning Data" course in the Data Science specialisation by Johns Hopkins University on Coursera.
Get started by forking this repository and cloning it locally on your machine.
The repository is made of the following files:
- A markdown file README.md
- An R script run_analysis.R
- A markdown file CodeBook.md describing the data and the manipulations performed by the script for cleaning and analysing it.
For being able to use the attached script, you need to:
- Download the supporting dataset here (see "Data Folder").
- Install the dplyr library.
- RStudio
- R version 3.4.3
Thanks to the UCI Machine Learning Repository for making the dataset available.