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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | DataAudit_0.1.0.tar.gz |
193.3 KiB |
0.1.0 |
rolling linux/noble R-4.5 | DataAudit_0.1.0.tar.gz |
193.2 KiB |
0.1.0 |
rolling source/ R- | DataAudit_0.1.0.tar.gz |
91.8 KiB |
0.1.0 |
latest linux/jammy R-4.5 | DataAudit_0.1.0.tar.gz |
193.3 KiB |
0.1.0 |
latest linux/noble R-4.5 | DataAudit_0.1.0.tar.gz |
193.2 KiB |
0.1.0 |
latest source/ R- | DataAudit_0.1.0.tar.gz |
91.8 KiB |
0.1.0 |
2026-04-23 source/ R- | DataAudit_0.1.0.tar.gz |
0 B |