gsharma007 / Getting-and-Cleaning-data-Course-project

This repository contains the course work carried out for the final project of course "getting and cleaning data" offered by john hopkins university through coursera

Getting and Cleaning Data - Course Project

1. This repository hosts the R code and documentation files for the Data Science's track course "Getting and Cleaning data", available in coursera.

2. The dataset being used is: Human Activity Recognition Using Smartphones

Files Information in Repository-

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

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

3. run_analysis.R contains all the code to perform the analyses described in the 5 steps. They can be launched in RStudio by just importing the file.

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