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Stop 08 · Data Cleaning & WranglingTopics · 1/9

Identifying Data Quality Issues

Part of the Data Analyst Roadmap

In short

The first, often-skipped step — profiling a new dataset for missing values, inconsistent formats, duplicates and impossible values before trusting a single number from it.

How to learn this

  1. 1Run a basic profile (row counts, null counts, unique value counts) on any dataset before analyzing it.
  2. 2Build a personal checklist of the top 5 issues you always check for first.
  3. 3Practice on a deliberately messy public dataset to build pattern recognition.

More topics at this stop

Handling Missing DataHandling DuplicatesData Type ConversionOutlier HandlingStandardizing & Normalizing DataData Validation RulesETL Basics (Extract, Transform, Load)Documenting Data Cleaning Decisions

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