Stop 08 · Data Cleaning & WranglingTopics · 9/9
Documenting Data Cleaning Decisions
Part of the Data Analyst Roadmap
In short
Writing down what you changed and why — missing-value handling, outlier decisions, deduplication logic — so your analysis is reproducible and defensible when someone questions a number.
How to learn this
- 1Add a 'data cleaning log' section to your next analysis, listing every transformation made.
- 2Practice explaining a cleaning decision to a skeptical stakeholder in one sentence.
- 3Keep your raw and cleaned data separate so the transformation is always auditable.
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