I need to identify all categorical columns in the dataset and count their distinct values. From the evidence, I can see matches_1930_2022 has several categorical columns, but I need to check all tables in the dataset. Let me start by getting a comprehensive view of categorical columns across all tables. ```json { "action": "tool_call", "reasoning": "I need to profile all categorical (VARCHAR) columns across all tables to count their distinct values. I'll write a single query that aggregates distinct counts for all VARCHAR columns in each table.", "tool": "query_sql", "purpose": "Count distinct values for all categorical columns across all tables in the dataset", "args": { "sql": "SELECT table_name, column_name, phys_type, distinct_count FROM analytics.column_overview WHERE phys_type = 'VARCHAR' ORDER BY table_name, distinct_count DESC" } } ```