DataAudit
0.1.0Comprehensive Data Quality Auditing and Validation
Overview
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.
Install
Health
- OK2026-08-077 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Repository practices
5 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/vinodhpmd/dataaudit on 2026-08-09.
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Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- 0.1.0Latest2026-08-06 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-08-06
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("DataAudit")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.