Skip to content

CJE0113/Getting-And-Cleaning-Data-Project

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 

Repository files navigation

Getting and Cleaning Data - Course Project

This repository hosts the R code and documentation files for the Data Science's track course "Getting and Cleaning Data", available on Coursera.

The dataset being used is: Human Activity Recognition Using Smartphones

Files

The code takes for granted all the data is present in the same folder, un-compressed and without names altered.

CodeBook.md describes the variables, the data, and any transformations or work that was performed to clean up the data.

run_analysis.R contains all the code to perform the analyses described in the introduction of the code book. They can be launched in RStudio by just importing the file.

The output of the 5th step is called averages_data.txt, and uploaded in the course project's form.

About

Course Project for Getting and Cleaning Data

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages