```json { "action": "tool_call", "reasoning": "I need to compute distribution statistics (min, max, mean, median, stddev) for all numeric columns across both tables. The evidence shows the numeric columns are: Rank, Previous, ID, Points, Previous Points, WeekNum, MonthNum, YearNum in both tables. I'll write ONE query per table with all aggregates together to efficiently get the distribution summary.", "tool": "query_sql", "args": { "sql": "SELECT 'Rank' as column_name, MIN(Rank) as min_val, MAX(Rank) as max_val, AVG(Rank) as mean_val, MEDIAN(Rank) as median_val, STDDEV(Rank) as stddev_val FROM raw.ittf_rankings UNION ALL SELECT 'Previous', MIN(Previous), MAX(Previous), AVG(Previous), MEDIAN(Previous), STDDEV(Previous) FROM raw.ittf_rankings UNION ALL SELECT 'ID', MIN(ID), MAX(ID), AVG(ID), MEDIAN(ID), STDDEV(ID) FROM raw.ittf_rankings UNION ALL SELECT 'Points', MIN(Points), MAX(Points), AVG(Points), MEDIAN(Points), STDDEV(Points) FROM raw.ittf_rankings UNION ALL SELECT 'Previous Points', MIN(\"Previous Points\"), MAX(\"Previous Points\"), AVG(\"Previous Points\"), MEDIAN(\"Previous Points\"), STDDEV(\"Previous Points\") FROM raw.ittf_rankings UNION ALL SELECT 'WeekNum', MIN(WeekNum), MAX(WeekNum), AVG(WeekNum), MEDIAN(WeekNum), STDDEV(WeekNum) FROM raw.ittf_rankings UNION ALL SELECT 'MonthNum', MIN(MonthNum), MAX(MonthNum), AVG(MonthNum), MEDIAN(MonthNum), STDDEV(MonthNum) FROM raw.ittf_rankings UNION ALL SELECT 'YearNum', MIN(YearNum), MAX(YearNum), AVG(YearNum), MEDIAN(YearNum), STDDEV(YearNum) FROM raw.ittf_rankings", "purpose": "Get distribution statistics (min, max, mean, median, stddev) for all numeric columns in ittf_rankings table", "source": "raw" } } ```