Your question is Imputing Missing Wind Data. 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 on global wind turbine capacities, what statistical methodologies would you use to impute the missing data?
Discuss how you would diagnose the missingness mechanism, select suitable predictors, compare alternative imputation methods, and quantify uncertainty. Address constraints specific to capacity data, including non-negativity, skewness, geography, turbine technology, commissioning year, and potential dependence among observations. Explain how you would validate imputed values when the true missing values are unavailable.