Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/behrica/project_gettingcleaningdata
https://github.com/behrica/project_gettingcleaningdata
Last synced: 27 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/behrica/project_gettingcleaningdata
- Owner: behrica
- Created: 2014-05-23T10:28:12.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2014-05-23T10:43:19.000Z (over 10 years ago)
- Last Synced: 2024-11-15T23:34:39.042Z (3 months ago)
- Language: R
- Size: 137 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Description of repository
================
This repository contains code for the cleaning of a data set.
The files are the project of the Coursera online course "Data Science / Getting and Cleaning Data".More info about the code / project is here:
* https://class.coursera.org/getdata-003
* https://class.coursera.org/getdata-003/human_grading
* http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+SmartphonesHow to produce the tidy data set
===================1. Clone this repository.
2. Download the original data set to the top level directory of the repository (Link: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip )
3. Unzip the data set to top level directory of the repository (and preserve folders)
4. Run the script in level directory of the repository . (For Linux via: "Rscript run_analysis.R")
5. This produces the file "tidyData.txt" in the top level directory of the repository