Data Science & Analytics
Data Quality Review
Check a dataset before analysis: row counts, duplicates, missing values, units and currency, date ranges and time zones, joins, and outliers. Returns a pass, warn or fail table and names which analysis each problem blocks. Use before a report, a model, or a decision that rests on the data.
- Publisher / source
- nightly-labs/openbot (found on GitHub top repositories)
- Upstream record
- nightly-labs/openbot
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-05
- Content fingerprint
4a7ca6af40f062068f483cb1091983eaaa6169cef6aaf0e5d4207413a6eb3b44