I need to analyze the temporal patterns in this dataset. I can see from the evidence that there's already a monthly aggregation showing some interesting patterns, particularly a dramatic spike in 2007-2008. Let me examine this more systematically. ```json { "action": "tool_call", "reasoning": "The evidence shows monthly data with a massive spike in points around 2007-2008 (jumping from ~783 average points in 2006-01 to ~10,730 in 2007-01). I need to get the full time series to identify all notable changes. I'll query the yearly aggregation first to see the overall pattern, then drill into specific anomalies.", "tool": "query_sql", "args": { "sql": "SELECT YearNum__yyyy, row_count, Points__avg, Points__min, Points__max FROM ittf_rankings_by_YearNum__yyyy ORDER BY YearNum__yyyy", "purpose": "Get yearly aggregation to identify major temporal breaks and spikes in the ranking points system", "source": "gold" } } ```