Question: You are a data analyst working for the DoD tasked with analyzing Air Force equipment costs over a five-year period. The dataset is missing several

You are a data analyst working for the DoD tasked with analyzing Air Force equipment costs over a five-year period. The dataset is missing several key values. Which approach should you consider first to retain as much data as possible in this context? A. Use domain-specific knowledge despite concerns of subjective bias B. Delay the cleaning step until all data is available C. Delete rows and columns to avoid information loss and bias D. Impute Missing Values with substitute values

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