DataAudit: Comprehensive Data Quality Auditing and Validation

Provides tools for systematic assessment, validation, and reporting of data quality. The package detects common data-quality problems including missing or blank values, duplicate observations, infinite values, constant and near-zero variance variables, outliers, invalid ranges and categories, type and pattern violations, problematic dates and identifiers, sequence errors, dependency violations, and cross-variable inconsistencies. It also supports reusable validation rules, integrated audit reports, and standardized data-quality scoring for reproducible data-quality assessment workflows.

Version:	0.1.0
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0), tibble
Published:	2026-08-06
DOI:	10.32614/CRAN.package.DataAudit (may not be active yet)
Author:	Vinodh Kumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer:	Vinodh Kumar Obli Rajendran <vinodhkumar.rajendran at gmail.com>
BugReports:	https://github.com/vinodhpmd/DataAudit/issues
License:	MIT + file LICENSE
URL:	https://github.com/vinodhpmd/DataAudit
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	DataAudit results

Documentation:

Reference manual:	DataAudit.html , DataAudit.pdf
Vignettes:	Getting Started with DataAudit (source, R code)

Downloads:

Package source:	DataAudit_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: DataAudit_0.1.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): DataAudit_0.1.0.tgz, r-oldrel (arm64): DataAudit_0.1.0.tgz, r-release (x86_64): DataAudit_0.1.0.tgz, r-oldrel (x86_64): DataAudit_0.1.0.tgz

Linking:

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