I need to identify the main categorical columns across the dataset and find their most common values with frequencies. Let me start by getting a comprehensive view of categorical columns. ```json { "action": "tool_call", "reasoning": "I need to identify all categorical columns across the dataset. The evidence shows some categorical columns, but I should get a complete picture. I'll query the column metadata to find all columns with semantic_role='identifier' and rough_kind='categorical', then get their distinct counts to identify the 'main' ones (those with reasonable cardinality for categorical analysis).", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, distinct_count, null_count FROM analytics.column_overview WHERE rough_kind = 'categorical' AND distinct_count IS NOT NULL AND distinct_count > 0 ORDER BY distinct_count DESC LIMIT 50", "purpose": "Identify main categorical columns by finding those with categorical rough_kind and reasonable distinct counts", "source": "raw" } } ```