I need to identify categorical columns across the dataset and count their distinct values. Let me start by understanding what columns exist and their types. ```json { "action": "tool_call", "reasoning": "First, I need to see what tables and columns exist in the dataset to identify categorical columns. The card shows columns_catalog is the largest table with column metadata. I'll query the analytics.column_overview metadata to see all columns across all tables with their types and semantic roles, which will help identify categorical columns.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type, semantic_role, rough_kind, distinct_count, approx_distinct_count FROM analytics.column_overview WHERE rough_kind IN ('categorical', 'text') OR semantic_role LIKE '%category%' OR semantic_role LIKE '%tag%' ORDER BY table_name, column_name LIMIT 50", "purpose": "Identify categorical columns across all tables with their distinct counts", "source": "raw" } } ```