Before you analyze, know what's broken. Nulls, duplicates, schema drift.
"Clean this CSV and tell me what's off — nulls, duplicates, and anything that looks wrong." Open in Tablize → A QA report: row count, null counts per column, duplicate detection, value-distribution outliers, and a recommended cleaning script.
Every analyst’s first step on a fresh CSV: figure out what’s broken before you trust any numbers. This pack runs the standard audit — nulls, duplicates, type inconsistencies, suspicious value distributions, schema mismatches — and writes back a clean report plus a reusable cleaning script you can save.
Use this when: a colleague drops a CSV on you and says “make a chart” — and you want to know what you’re actually working with first.
Drop in your CSV or connect your database. Get the answer in under 60 seconds.
Try this template free