I need to identify all numeric columns across the dataset and compute their distributions. Let me start by finding which columns are numeric. ```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 the analytics.column_overview table which contains phys_type information for all columns.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type FROM analytics.column_overview WHERE phys_type IN ('BIGINT', 'DOUBLE', 'DECIMAL', 'INTEGER', 'FLOAT', 'NUMERIC') ORDER BY table_name, column_name", "purpose": "Identify all numeric columns in the dataset to compute distributions", "source": "raw" } } ```