https://github.com/npatta01/get_data_proj

Coursera Getting and cleaning data
https://github.com/npatta01/get_data_proj

Last synced: 14 days ago
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Coursera Getting and cleaning data

• Host: GitHub
• URL: https://github.com/npatta01/get_data_proj
• Owner: npatta01
• Created: 2015-01-25T02:31:51.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2015-01-25T02:44:47.000Z (almost 10 years ago)
• Last Synced: 2024-12-07T07:04:29.487Z (18 days ago)
• Language: R
• Size: 115 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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README

        
Getting and Cleaning Data - Course Project

==========================================

This repository hosts the my submission for the Data Science's track course "Getting and Cleaning data", available in coursera.

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

About the raw data

------------------

The features (561 of them) are unlabeled and can be found in the x_test.txt. 

The activity labels are in the y_test.txt file.

The test subjects are in the subject_test.txt file.

The same holds for the training set.

Files

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The repo contains a copy of the data in the folder "UCI_HAR_Dataset"

`CodeBook.md` describes the variables, the data, and any transformations or work that was performed to clean up the data.

`run_analysis.R` contains all the code to perform the analyses described in the 5 steps. They can be launched in RStudio by just importing the file.

The output of the processing is called `tidy.txt`, and uploaded in the course project's form.