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How do you handle missing or dirty data?
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Answer / Atalesh Kumar Verma
Handling missing or dirty data can be addressed using techniques like imputation, where missing values are estimated based on the available data; removing rows with incomplete data if appropriate for the analysis; and employing robust algorithms that can handle noisy or inconsistent input.
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