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": "The previous queries returned 0 rows, suggesting they may have been looking in the wrong place or using incorrect syntax. I need to query the analytics.column_overview metadata to find all numeric columns across all tables, then compute their distributions. Let me start by identifying numeric columns from the metadata.", "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') ORDER BY table_name, column_name", "purpose": "Identify all numeric columns across the dataset to compute distribution statistics", "source": "raw" } } ```