I need to identify all numeric columns across all tables and compute their distribution statistics. From the evidence, I can see many numeric columns across different tables. Let me write a comprehensive query to get distribution statistics for all numeric columns. ```json { "action": "tool_call", "reasoning": "I need to compute distribution statistics (min, max, mean, median, stddev) for all numeric columns. I'll query the analytics.column_overview metadata which already contains min_value, max_value, and avg_value for all columns, then supplement with a query to get median and stddev for numeric columns from the actual data tables.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type, min_value, max_value, avg_value, null_count, distinct_count FROM analytics.column_overview WHERE phys_type IN ('BIGINT', 'DOUBLE', 'DECIMAL', 'INTEGER', 'FLOAT') ORDER BY table_name, column_name", "purpose": "Get basic distribution statistics (min, max, mean) for all numeric columns from the metadata catalog", "source": "raw" } } ```