Your question is Handle Messy Visualization Inputs. 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).
You are working on a reporting pipeline for a dashboard that pulls from a large operational dataset with missing values, inconsistent field names, mixed date formats, and duplicate records. The source data is used by analysts and business users, so the output needs clear rules for cleaning, standardization, and traceability.
How would you approach a request to visualize a large, messy dataset with many missing or inconsistent fields?