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coursera-jh-r-week3-final-project's Introduction

"Cleaning and Getting Data" course project

https://www.coursera.org/learn/data-cleaning/peer/FIZtT/getting-and-cleaning-data-course-project

The data represents 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

Repo Contents

  • CodeBook.md - Describes the experiment data and the steps taken to summarize the data.
  • run_analysis.R - R script to merge, clean-up, transform, and summarize the experiment data.
  • data_summary.txt - Output from the run_analysis.R script.
  • README.md - This file.

Getting started

  1. Read through the CodeBook and the run_analysis.R to understand the steps taken to transform the data from it's original raw state to it's the outputted tidy state

  2. Download the data from https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip and extract.

  3. Run run_analysis.R to generate the output file.

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