I need to identify the most important numeric metric in this boxing dataset and show its extreme records. Looking at the evidence, I can see this is a boxing matches dataset with metrics for two fighters (A and B) in each match. The key metrics are: - **Record statistics**: won, lost, drawn, kos (knockouts) - **Physical attributes**: age, height, reach, weight - **Match outcomes**: result, decision - **Judge scores**: judge1, judge2, judge3 (but these have very high null rates ~82-90%) The most important metric in boxing is clearly the **win record** (won_A and won_B), as it represents a fighter's career success. From the column inspection, won_A ranges 0-332 and won_B ranges 0-251, with no nulls. Let me find the records with the highest and lowest win counts: ```json { "action": "tool_call", "reasoning": "Query to find the matches with the highest and lowest total wins (won_A + won_B) to identify the most accomplished fighters and least experienced fighters in the dataset. This will show the extreme records for the most important metric.", "tool": "query_sql", "args": { "sql": "SELECT won_A, won_B, lost_A, lost_B, drawn_A, drawn_B, kos_A, kos_B, age_A, age_B, result, decision FROM raw.boxing_matches ORDER BY (won_A + won_B) DESC LIMIT 10", "purpose": "Find matches with highest combined win records", "source": "raw" } } ```