I have already obtained the monthly rating counts from the gold table `beer_ratings_by_created_at__yyyy_mm`. Let me analyze the complete time series to identify all notable spikes, dips, and breaks. ```json { "action": "tool_call", "reasoning": "The evidence shows 50 rows but is truncated. I need the full time series to identify all spikes, dips, and breaks across the entire dataset timespan (2000-04 to 2025-02 based on the card). I'll query for the complete monthly series.", "tool": "query_sql", "args": { "sql": "SELECT created_at__yyyy_mm as month, row_count as rating_count FROM beer_ratings_by_created_at__yyyy_mm ORDER BY created_at__yyyy_mm", "purpose": "Get complete monthly time series to identify all spikes, dips, and breaks", "source": "gold" } } ```