I need to identify all numeric columns across both tables and compute their distributions in a single efficient query. Let me first check what numeric columns exist by inspecting the metadata: ```json { "action": "tool_call", "reasoning": "I need to identify all numeric columns across both tables (raw.fighters and raw.popular_matches) to compute their distributions. I'll query the column metadata to find columns with numeric physical types.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type FROM meta.columns WHERE table_name IN ('raw.fighters', 'raw.popular_matches') AND phys_type IN ('BIGINT', 'DOUBLE', 'DECIMAL', 'INTEGER', 'FLOAT') ORDER BY table_name, column_name", "purpose": "Identify all numeric columns in the dataset to profile their distributions", "source": "raw" } } ```