I need to identify the main categorical columns and find their most common values with frequencies. Let me start by examining the dataset structure. ```json { "action": "tool_call", "reasoning": "The dataset card shows raw.championsdataset has 12 columns. I need to inspect the columns to understand their types and semantic roles to identify which are the main categorical columns (beyond the metadata columns like _ingestion_timestamp, _batch_id, etc.).", "tool": "inspect_columns", "args": { "table": "championsdataset" } } ```