```json { "action": "tool_call", "reasoning": "The question asks for distribution statistics (min, max, mean, median, spread) across all numeric columns. From the dataset card, I can see the numeric columns are: X, Sets_P1, Sets_P2, P1_G1, P2_G1, P1_G2, P2_G2, P1_G3, P2_G3, P1_G4, P2_G4, P1_G5, P2_G5, HomeWinner. I'll write a single SQL query that computes all these statistics for all numeric columns at once, rather than querying one column at a time. I'll use DuckDB's aggregate functions: MIN, MAX, AVG, MEDIAN, and STDDEV for spread.", "tool": "query_sql", "args": { "sql": "SELECT 'X' as column_name, MIN(X) as min_value, MAX(X) as max_value, AVG(X) as mean_value, MEDIAN(X) as median_value, STDDEV(X) as stddev FROM raw.table_tennis_sept2022 UNION ALL SELECT 'Sets_P1', MIN(Sets_P1), MAX(Sets_P1), AVG(Sets_P1), MEDIAN(Sets_P1), STDDEV(Sets_P1) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'Sets_P2', MIN(Sets_P2), MAX(Sets_P2), AVG(Sets_P2), MEDIAN(Sets_P2), STDDEV(Sets_P2) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P1_G1', MIN(P1_G1), MAX(P1_G1), AVG(P1_G1), MEDIAN(P1_G1), STDDEV(P1_G1) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P2_G1', MIN(P2_G1), MAX(P2_G1), AVG(P2_G1), MEDIAN(P2_G1), STDDEV(P2_G1) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P1_G2', MIN(P1_G2), MAX(P1_G2), AVG(P1_G2), MEDIAN(P1_G2), STDDEV(P1_G2) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P2_G2', MIN(P2_G2), MAX(P2_G2), AVG(P2_G2), MEDIAN(P2_G2), STDDEV(P2_G2) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P1_G3', MIN(P1_G3), MAX(P1_G3), AVG(P1_G3), MEDIAN(P1_G3), STDDEV(P1_G3) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P2_G3', MIN(P2_G3), MAX(P2_G3), AVG(P2_G3), MEDIAN(P2_G3), STDDEV(P2_G3) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P1_G4', MIN(P1_G4), MAX(P1_G4), AVG(P1_G4), MEDIAN(P1_G4), STDDEV(P1_G4) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P2_G4', MIN(P2_G4), MAX(P2_G4), AVG(P2_G4), MEDIAN(P2_G4), STDDEV(P2_G4) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P1_G5', MIN(P1_G5), MAX(P1_G5), AVG(P1_G5), MEDIAN(P1_G5), STDDEV(P1_G5) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P2_G5', MIN(P2_G5), MAX(P2_G5), AVG(P2_G5), MEDIAN(P2_G5), STDDEV(P2_G5) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'HomeWinner', MIN(HomeWinner), MAX(HomeWinner), AVG(HomeWinner), MEDIAN(HomeWinner), STDDEV(HomeWinner) FROM raw.table_tennis_sept2022", "purpose": "Compute distribution statistics (min, max, mean, median, standard deviation) for all numeric columns in the table tennis dataset", "source": "raw" } } ```