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: not available, 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): not available |
Linking:
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