I need to analyze the temporal patterns in this Olympic table tennis dataset. The card shows `year` as the temporal axis (1988-2024). Let me start by examining the distribution of medals over time. ```json { "action": "tool_call", "reasoning": "The dataset has a temporal dimension (year from 1988-2024). To identify spikes, dips, or breaks, I'll first get the medal count by year to see the overall temporal pattern.", "tool": "query_sql", "args": { "sql": "SELECT year, COUNT(*) as medal_count, COUNT(DISTINCT event) as event_count, COUNT(DISTINCT country) as country_count FROM raw.olympic_table_tennis_medals_1988_2024 GROUP BY year ORDER BY year", "purpose": "Get medal counts and event/country diversity by year to identify temporal patterns" } } ```