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: NA
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:

Reference manual: dataverifyr.pdf

Downloads:

Package source: dataverifyr_0.1.8.tar.gz
Windows binaries: r-devel: dataverifyr_0.1.8.zip, r-release: dataverifyr_0.1.8.zip, r-oldrel: dataverifyr_0.1.8.zip
macOS binaries: r-release (arm64): dataverifyr_0.1.8.tgz, r-oldrel (arm64): dataverifyr_0.1.8.tgz, r-release (x86_64): dataverifyr_0.1.8.tgz, r-oldrel (x86_64): dataverifyr_0.1.8.tgz
Old sources: dataverifyr archive

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