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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.
Health stats visible at Monitor.