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DataAudit 0.1.0

Initial release

• Added comprehensive data-quality auditing with audit_data().
• Added reusable validation rules with audit_rules() and apply_audit_rules().
• Added data-quality scoring with audit_score().
• Added checks for missing values, blanks, duplicates, infinite values, constant and near-zero variance variables, outliers, ranges, categories, types, patterns, dates, identifiers, lengths, case, whitespace, sequences, dependencies, uniqueness, and cross-variable consistency.
• Added DataAuditReport, DataAuditRuleResult, and DataAuditScore print and summary methods.
• Added comprehensive automated tests and continuous integration.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.