Data Validation

This is a pre-delivery checklist for data analysis work that helps you catch mistakes before stakeholders see them. It walks through the usual suspects: source verification, null handling, date freshness, bad joins that double-count records, and whether your filters are actually doing what you think. There's also a calculation checks section that the preview cuts off. It's the kind of thing senior analysts keep in their heads but junior analysts should probably pin to their monitor. Honestly, the real value is having someone else's paranoia codified into a list you can actually run through instead of just generally worrying that you messed something up.