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dqcheckr 0.1.1

• flag_new_columns, flag_dropped_columns, flag_type_changes (in CP-02) and flag_column_order_change (CP-08) are now honoured. Setting any flag to false suppresses the corresponding check from the report. Schema changes are still tracked in the SQLite snapshot regardless of flags.
• type_inference_threshold is now configurable per dataset via rule_overrides in the dataset YAML (or default_rules in the global config). Previously fixed at 90%, it now defaults to 90% if not set. Affects QC-06, QC-07, QC-08, QC-11, CP-02, CP-04, CP-05, CP-06, and CP-07.

dqcheckr 0.1.0

Initial release.

• Single-snapshot quality checks: QC-01 to QC-14 (missing rate, empty columns, duplicate rows, row/column counts, inferred types, numeric stats, distinct counts, allowed values, numeric bounds, non-numeric rate, key uniqueness, regex pattern, minimum row count) and SC-01/SC-02 (schema contract).
• Version comparison checks: CP-01 to CP-08 (row count change, schema diff, missing rate change, numeric mean shift, new/dropped distinct values, non-numeric rate change, column order).
• Custom organisation-specific checks via a plain R file.
• Self-contained HTML report with check tables, historical trend charts, and column statistics appendix.
• SQLite snapshot database for long-term trend tracking.
• Supports CSV and fixed-width (FWF) file formats.
• Configuration via global dqcheckr.yml and per-dataset YAML files.

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.