I need to explore the temporal dimensions mentioned in the dataset card to identify spikes, dips, or breaks in the data. The card shows three temporal axes: - `raw.championsdataset.Champion` (April 29, 2000..World) - `raw.championsdataset.Recognition` (456..present) - `raw.championsdataset.Begin_reign` (1,071..present) Let me first inspect these columns to understand their actual data types and distributions. ```json { "action": "tool_call", "reasoning": "Need to understand the temporal columns' actual types and value distributions to determine which are truly temporal and how to analyze them for spikes/dips", "tool": "inspect_columns", "args": { "table": "raw.championsdataset", "columns": ["Champion", "Recognition", "Begin_reign", "End_reign"] } } ```