https://github.com/ssd71/uci-data-cleaning-assignment
https://github.com/ssd71/uci-data-cleaning-assignment
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/ssd71/uci-data-cleaning-assignment
- Owner: ssd71
- Created: 2019-04-16T13:49:31.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2019-04-19T02:20:03.000Z (about 6 years ago)
- Last Synced: 2025-01-12T20:11:20.871Z (5 months ago)
- Language: R
- Size: 4.88 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# uci-data-cleaning-assignment
This repository contains the code to create two specific tidy datasets from the UCI Human Activity Recognition using smartphones dataset available [here](http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones).[1]
The repo contains an R script named run_analysis.R that downloads this dataset and prepares the aforementioned tidy datasets. Note that the script requires dplyr and readr packages to be installed.
The transformations the dataset had to go through in order to create the two tidy datasets, as well as the complete description of all the variables are outlined in CODEBOOK.md
#### References:
[1] Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra and Jorge L. Reyes-Ortiz. Human Activity Recognition on Smartphones using a Multiclass Hardware-Friendly Support Vector Machine. International Workshop of Ambient Assisted Living (IWAAL 2012). Vitoria-Gasteiz, Spain. Dec 2012