I need to identify the main categorical columns and find their most common values with frequencies. Let me start by getting a comprehensive view of categorical columns across the dataset. ```json { "action": "tool_call", "reasoning": "I need to identify all categorical columns across tables to determine which are 'main' (high row count tables, important dimensions). I'll query the column metadata to find categorical columns and their table context.", "tool": "query_sql", "args": { "sql": "SELECT co.table_name, co.column_name, co.distinct_count, co.null_count, t.row_count, ROUND(100.0 * co.distinct_count / NULLIF(t.row_count - co.null_count, 0), 1) AS cardinality_pct FROM analytics.column_overview co JOIN analytics.table_overview t ON co.table_name = t.table_name WHERE co.rough_kind = 'categorical' AND t.row_count > 1000 ORDER BY t.row_count DESC, co.distinct_count ASC LIMIT 50", "purpose": "Find main categorical columns in high-volume tables to determine which to profile for common values" } } ```