One CSV cleanup rule I use: a repeated ID is not automatically a duplicate.In my original Python demonstration, ID B02 appears with values 20 and 25. Both rows go to review instead of silently choosing one. An exact duplicate is separated, and a legitimate zero stays zero. Six synthetic input rows become two accepted rows plus four retained review records.I’ve opened a small CSV-cleanup service on Contra: a typical $100 scope covers one CSV up to 5,000 rows and 10 columns, with a cleaned file, a review log and a short handoff. Target: two business days after the sample and rules are agreed. AI-assisted development, with explicit checks.The example is synthetic, not client work. Send a short description and a non-sensitive sample through Contra for a scoped quote:https://contra.com/s/EBmcc77W-csv-cleanup-with-a-clear-duplicate-review-log