Your question is Handling Missing Values. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you handle missing values in a dataset?
Explain a practical workflow for diagnosing missingness, deciding whether to delete, impute, or model missing observations, and validating the resulting analysis. Address MCAR, MAR, and MNAR mechanisms, and explain how your approach would change for numeric, categorical, and outcome variables. No dataset or numerical inputs are provided, so state the assumptions and checks you would require before implementation.