How do you handle missing data in pandas?
Model answer
Detect with df.isna(), remove with dropna(), or fill with fillna(value). Decide by context: dropping rows may bias results, and filling needs a sensible value such as the median. Document the choice, since it affects results.
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Mini Project: Analyse a CSV File and Make a Report in the course Python for Beginners: Learn to Code with Real Projects.
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