https://github.com/EDIorg/dataCleanr

R package to prepare data for archive.
https://github.com/EDIorg/dataCleanr

Last synced: 3 months ago
JSON representation

R package to prepare data for archive.

• Host: GitHub
• URL: https://github.com/EDIorg/dataCleanr
• Owner: EDIorg
• License: gpl-2.0
• Created: 2018-11-07T18:59:55.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-05-25T15:04:24.000Z (over 2 years ago)
• Last Synced: 2024-08-13T07:14:42.701Z (6 months ago)
• Language: R
• Homepage: https://ediorg.github.io/dataCleanr/
• Size: 438 KB
• Stars: 3
• Watchers: 6
• Forks: 0
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Codemeta: codemeta.json

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• jimsghstars - EDIorg/dataCleanr - R package to prepare data for archive. (R)

README

        


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# dataCleanr

`dataCleanr` is designed for addressing common data management tasks encountered when preparing data for archive and reuse. Many of these functions were created by the Environmental Data Initiative's Data Curation Team to accelerate their data curation efficiency, and we welcome contributions from anyone.

## Installation

```

# Install from GitHub

remotes::install_github("EDIorg/dataCleanr")

```

## Usage

[Check out example use cases in the dataCleanr website articles](https://EDIorg.github.io/dataCleanr/)

## Roadmap

`dataCleanr` focuses on user friendly high level functions for common data cleaning tasks in preparation for archive. Functionality should be accessible to R beginners.

## Contributing

We welcome contributions of all forms including bug reports, feature requests, and new functionality. Please reference our [code conduct](https://github.com/EDIorg/dataCleanr/blob/master/CODE_OF_CONDUCT.md) and [contributing guidelines](https://github.com/EDIorg/dataCleanr/blob/master/CONTRIBUTING.md) for submitting pull requests.

## Testing

Unit tests are implemented with `testthat`.

## Versioning

Versioning for the `dataCleanr` follows [semantic versioning](https://semver.org/).