I need to identify all numeric columns across the dataset and compute their distribution statistics in a single efficient query. Let me first check what numeric columns exist by querying the metadata: ```json { "action": "tool_call", "reasoning": "I need to identify all numeric columns across all tables. The previous queries returned 0 rows, suggesting they may have been looking in the wrong place or with incorrect syntax. I'll query the analytics.column_overview metadata to find all numeric columns (phys_type like INTEGER, DOUBLE, DECIMAL, BIGINT, etc.).", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type FROM analytics.column_overview WHERE phys_type IN ('INTEGER', 'BIGINT', 'DOUBLE', 'DECIMAL', 'FLOAT', 'NUMERIC', 'REAL') ORDER BY table_name, column_name", "purpose": "Identify all numeric columns in the dataset to compute distribution statistics" } } ```