I need to identify the main categorical columns and find their most common values with frequencies. Let me start by understanding the dataset structure better. ```json { "action": "tool_call", "reasoning": "I need to see the column details for the main tables to identify which are categorical. The card mentions classifiers like Referee, home_team, away_team, Round, etc., but I need to confirm the exact columns and their types across the tables. I'll start with the largest table, matches_1930_2022.", "tool": "inspect_columns", "args": { "table": "matches_1930_2022" } } ```