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Question: How do you handle missing or incomplete data in a dataset?
Answer: Methods to handle missing data include imputation (replacing missing values), deletion of rows or columns with missing data, or using advanced techniques like predictive modeling.

Example:

Replacing missing age values in a dataset with the mean age of the available data.
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