dataverifyr: A Lightweight, Flexible, and Fast Data Validation Package that
Can Handle All Sizes of Data
Allows you to define rules which can be used to verify a given
dataset.
The package acts as a thin wrapper around more powerful data packages such
as 'dplyr', 'data.table', 'arrow', and 'DBI' ('SQL'), which do the heavy lifting.
| Version: |
0.1.8 |
| Imports: |
yaml |
| Suggests: |
arrow, data.table, DBI, dplyr, dbplyr, duckdb, RSQLite, testthat (≥ 3.0.0) |
| Published: |
2024-01-10 |
| DOI: |
10.32614/CRAN.package.dataverifyr |
| Author: |
David Zimmermann-Kollenda [aut, cre],
Beniamino Green [ctb] |
| Maintainer: |
David Zimmermann-Kollenda <david_j_zimmermann at hotmail.com> |
| BugReports: |
https://github.com/DavZim/dataverifyr/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/DavZim/dataverifyr,
https://davzim.github.io/dataverifyr/ |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
dataverifyr results |
Documentation:
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