I need to get distribution statistics for all numeric columns across the dataset. The evidence shows I already have min, max, and mean for many columns, but I'm missing median and need to ensure I cover all numeric columns systematically. Let me first check what numeric columns exist across the main tables, then compute comprehensive statistics including median. ```json { "action": "tool_call", "reasoning": "I have min/max/avg for some columns, but need median and a complete view of all numeric columns. I'll query the column metadata to identify all numeric columns, then compute full distribution statistics including median in one query.", "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') ORDER BY table_name, column_name", "purpose": "Identify all numeric columns across the dataset to ensure complete coverage of distribution statistics", "source": "raw" } } ```