I need to analyze the temporal dimension in this dataset to identify notable spikes, dips, or breaks. From the dataset card, I can see there's a temporal axis: `raw.ittf_player_info.Birth year (0..2014)`. Let me query the distribution of players by birth year to identify any notable patterns. ```json { "action": "tool_call", "reasoning": "The dataset has a Birth year column spanning 0 to 2014. I'll query the distribution of players by birth year to identify spikes, dips, or breaks in the temporal pattern. I'll aggregate by birth year and count players to see the trend over time.", "tool": "query_sql", "args": { "sql": "SELECT \"Birth year\", COUNT(*) as player_count FROM raw.ittf_player_info WHERE \"Birth year\" IS NOT NULL GROUP BY \"Birth year\" ORDER BY \"Birth year\"", "purpose": "Get the distribution of players by birth year to identify temporal spikes, dips, or breaks", "source": "raw" } } ```