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Getting and Cleaning Data Course Project - Data Science Specialization - Coursera

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Introduction

The purpose of this project is to demonstrate the 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 used in this project represent data collected from the accelerometers from the Samsung Galaxy S smartphone. 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

Here are the data for the project:

https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip

What can you find in this repository?

  • run_analysis.R - Script which obtains raw dataset from the previous URL and transforms it into the final dataset, following the instructions provided.
  • tidy_df.txt - File which contains the final, tidy dataset.
  • CodeBook.md - File which describes the variables, the data, and any transformations or work performed to clean up the data.
  • README.md - File which explains the purpose of this repository and summarizes the work done.

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Getting and Cleaning Data Course Project - Data Science Specialization - Coursera

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