#data-quality

Data Profiling Isn't Optional: What We Check Before You Build a Workflow

Fill rate, distinct counts, distributions — the questions worth asking about a dataset before you trust a report built on top of it.

A Field Guide to Reading a Data Profile Report

Fill rate, unique count, null percentage, inferred type — a data profile puts real numbers in front of you before you build on a dataset. Here's what each one is actually telling you.

PostgreSQL Data Types, and How DataQloo Infers Them

A column's declared PostgreSQL type is only half the story. Here's how DataQloo's Schema tab infers the more useful, semantic type underneath.

How to Spot Duplicate Records Using Column Uniqueness Stats

"How many customers do we actually have?" is a harder question than it sounds when the same company might be entered three slightly different ways. Here's how to catch that with profiling stats alone.