I need to analyze the temporal trend in this dataset. From the evidence so far, I can see that the gold table `table_tennis_sept2022_by_Time__yyyy_mm_dd` exists and contains daily aggregations. However, the queries I've run so far only show a single row with 7,851 total matches, which suggests I may have been querying incorrectly. Let me query the daily gold table properly to see the trend over time: ```json { "action": "tool_call", "reasoning": "I need to see the actual daily breakdown to identify the trend. The gold table table_tennis_sept2022_by_Time__yyyy_mm_dd should contain one row per day with match counts. I'll query it to get the time series of match activity.", "tool": "query_sql", "args": { "sql": "SELECT Time__yyyy_mm_dd, row_count FROM table_tennis_sept2022_by_Time__yyyy_mm_dd ORDER BY Time__yyyy_mm_dd", "purpose": "Get daily match counts to analyze the temporal trend", "source": "gold" } } ```