Answer / Krishna Kumar Tiwari

Handling missing data can involve strategies like imputation (filling missing values with statistical estimates), deletion of affected rows (if the number of missing values is small), or using advanced techniques like multiple imputation. For corrupted data, outlier detection and removal methods can be applied.

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