Data Cleaning Case Study (Messy Dataset)

Summary

Deliberately take on a genuinely messy dataset and document your full cleaning process — showing employers you can handle real-world data, not just tidy tutorial datasets.

How to Learn This

1Find (or intentionally create) a dataset with realistic messiness: missing values, inconsistent formats, duplicates.
2Document every cleaning decision and the reasoning behind it (Phase 8).
3Show before-and-after summary statistics to make the impact of your cleaning visible.

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