Comprehensive Data Quality Auditing and Validation R package DataAudit version 0.1.0 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. Software Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tibble Vinodh Kumar Obli Rajendran <vinodhkumar.rajendran@gmail.com> Comprehensive R Archive Network (CRAN) Vinodh Kumar Obli Rajendran [aut, cre] (ORCID: <https://orcid.org/0000-0002-7232-4122>), Keerthi Aaradhana [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=DataAudit/LICENSE) 2026-08-06 application/tgz https://CRAN.R-project.org/package=DataAudit doi:10.32614/CRAN.package.DataAudit