#data-profiling

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.

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.