I need to identify the numeric columns in the dataset and compute their distribution statistics in a single query. From the dataset card, the table `raw.ittf_player_info` has these columns: - Player ID (BIGINT) - numeric - Birth year (BIGINT) - numeric - All other columns are VARCHAR or TIMESTAMP - not numeric for distribution analysis Let me compute the distribution statistics for both numeric columns in one query. ```json { "action": "tool_call", "reasoning": "I need to compute distribution statistics (min, max, mean, median, stddev) for the two numeric columns: Player ID and Birth year. I'll write a single SELECT with all aggregates to efficiently profile both columns at once.", "tool": "query_sql", "args": { "sql": "SELECT COUNT(*) as total_rows, COUNT(\"Player ID\") as player_id_non_null, MIN(\"Player ID\") as player_id_min, MAX(\"Player ID\") as player_id_max, AVG(\"Player ID\") as player_id_mean, MEDIAN(\"Player ID\") as player_id_median, STDDEV(\"Player ID\") as player_id_stddev, COUNT(\"Birth year\") as birth_year_non_null, MIN(\"Birth year\") as birth_year_min, MAX(\"Birth year\") as birth_year_max, AVG(\"Birth year\") as birth_year_mean, MEDIAN(\"Birth year\") as birth_year_median, STDDEV(\"Birth year\") as birth_year_stddev FROM raw.ittf_player_info", "purpose": "Compute distribution statistics (min, max, mean, median, standard deviation) for all numeric columns in the dataset", "source": "raw" } } ```