Getting and Cleaning Data

This is a repository for the Getting and Cleaning Data Course Project.

Done by: Anna Polyanskaya, 2021.

About the project (via Coursera)

The purpose of this 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.

• The data for the project can be downloaded from here: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
• A full description is available at the site where the data was obtained: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

Repo contents

This repository is structured in the following way:

• README.md is this file, the short description of this project
• /Raw_data contains the .zip archive
• /Raw_data/UCI HAR Dataset is the unziped dataset
• /Processed_data contains the resulting dataset averagedata in .txt and .csv formats.
• run_analysis.R is the code, that produses the tidy dataset, mentioned above
• CodeBook.md contains the description of the variables, the data, and any transformations or work that was performed to clean up the data