I need to identify all numeric columns across the dataset and compute their distribution statistics. Let me start by finding all numeric columns. ```json { "action": "tool_call", "reasoning": "The previous queries returned 0 rows, suggesting they may have had incorrect syntax or table references. I need to query the metadata to find all numeric columns. I'll use analytics.column_overview which contains phys_type to identify numeric columns.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type FROM analytics.column_overview WHERE phys_type IN ('BIGINT', 'INTEGER', 'DOUBLE', 'DECIMAL', 'FLOAT', 'NUMERIC', 'REAL', 'SMALLINT', 'TINYINT') ORDER BY table_name, column_name", "purpose": "Find all numeric columns across all tables in the dataset", "source": "raw" } } ```