https://github.com/andrestc/gettingandcleaningdataproject

https://github.com/andrestc/gettingandcleaningdataproject

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• Host: GitHub
• URL: https://github.com/andrestc/gettingandcleaningdataproject
• Owner: andrestc
• Created: 2015-02-19T23:34:17.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2015-02-20T00:57:14.000Z (almost 10 years ago)
• Last Synced: 2024-10-12T18:12:37.958Z (3 months ago)
• Language: R
• Size: 223 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Getting and Cleaning Data - Course Project

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

The dataset being used is: [Human Activity Recognition Using Smartphones](http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones)

## Running the experiment

* [Download the files](http://archive.ics.uci.edu/ml/machine-learning-databases/00240/UCI%20HAR%20Dataset.zip) 

* All the files from the dataset should be placed inside a directory named "data" in the same directory as the run_analysis.R.

* After placing the files, the tidy data set can be generated by running the run_analysis.R script. The script will generate a txt file containing the processed data set in the same folder as the script.

* The file CodeBook.md explains the tidy data set variables.