Quartz/bad-data-guide resource

Health v2 · maintenance only

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4127 stars · 397 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A reference guide from Quartz cataloguing common problems found in real-world datasets, with suggested resolutions organized by who is best positioned to fix each issue. It is aimed primarily at journalists and data analysts working with messy data.

Use cases

• identify why a dataset has missing values encoded as zeros
• learn how to handle inconsistent date formats in a spreadsheet
• decide whether a dataset is trustworthy enough to use in a report
• check for duplicate rows and inconsistent spelling before analysis
• document data provenance for a data-driven story
• train a newsroom team on data quality pitfalls

When to choose

• you work with messy real-world data and need a checklist of quality problems
• you are a journalist or analyst evaluating a new dataset
• you want teaching material about data cleaning and quality

When to avoid

• you need software or tooling to clean data automatically
• you want a technical library with code for data validation
• you need an actively updated resource - the guide has not seen recent releases

Facets

learning-resource · maturity maintenance

documentation data-science data-science tutorials education cross-platform data-quality data-cleaning journalism guide reference

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