JHU-Getting-and-Cleaning-Data-Course-Projecct

Course project for the Johns Hopkins University MOOC - Getting and Cleaning Data on Coursera

Author

Amrit Singh Rana amrit10@gmail.com

Goal of the Project

1. A tidy data set
2. A link to a Github repo with your script for performing the analysis
3. A code book that describes the variables, the data, and any transformations or work that you performed to clean up the data called CodeBook.md. You should also include a README.md file in the repo with your scripts. This repo explains how all of the scripts work and how they are connected.
4. run_analysis.R script

Scope

The script run_analysis.R downloads the dataset (UCI Human Activity Recognition Using Smartphone Dataset), cleans the data by performing certain transformations (mentioned in CodeBook.md) and writes the tidy data set to the present working directory.

Instructions

1. Clone/Download the repo.
2. Run run_analysis.R file in RStudio or R on your machine.

• To save the tidy data set in a directory of your choice, change the present working directory in RStudio/R.