How do you deal with missing data?

Question

Accepted Answer

I address missing data by identifying its cause, using imputation techniques, and validating the results to ensure data integrity.

Identify the cause of missing data: Is it due to non-response, data entry errors, or other factors?
Use imputation techniques: For example, replace missing values with the mean or median of the dataset.
Consider using predictive modeling: Use algorithms to predict and fill in missing values based on other available data.
Analyze the impact of missing data: Assess how missing values affect the overall analysis and results.
Document the approach taken: Ensure transparency in how missing data was handled for future reference.

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