I need to find all numeric columns across the dataset and compute their distributions. Let me start by identifying which columns are numeric. ```json { "action": "tool_call", "reasoning": "The previous query returned 0 rows, suggesting the approach didn't work. I need to query the metadata to find numeric columns. I'll use the analytics.column_overview table which contains phys_type and statistical information for all columns.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type, min_value, max_value, avg_value, null_count FROM analytics.column_overview WHERE phys_type IN ('BIGINT', 'INTEGER', 'DOUBLE', 'DECIMAL', 'FLOAT', 'SMALLINT', 'TINYINT', 'HUGEINT') ORDER BY table_name, column_name", "purpose": "Identify all numeric columns and their basic statistics from the metadata", "source": "raw" } } ```