DataAudit 0.1.0

DataAudit 0.1.0

Initial release of DataAudit, an R package for systematic data-quality
auditing, validation, and reporting.

Highlights

• General data-quality auditing with audit_data()
• Reusable validation rules with audit_rules()
• Rule evaluation with apply_audit_rules()
• Overall data-quality scoring with audit_score()
• Checks for missing and blank values
• Duplicate and uniqueness checks
• Infinite, constant, and near-zero variance detection
• Range and category validation
• Data-type and pattern validation
• Date and identifier checks
• Length, case, and whitespace checks
• Sequence and grouped-sequence validation
• Dependency and cross-variable consistency checks
• Structured DataAuditReport output
• Print and summary methods for audit results
• Comprehensive automated test suite

Quality assurance

• 1,406 automated tests passing
• 0 test failures
• 0 test warnings
• Approximately 99.97% test coverage
• GitHub Actions continuous integration
• Codecov integration

Installation

install.packages("pak")
pak::pak("vinodhpmd/DataAudit")