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:

Reference manual:

dataverifyr.html , 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

Linking:

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