Your question is Impute Missing Values Approach. 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).
Given a dataset with missing values, how would you approach filling in those gaps for a UC San Francisco analytics use case?