I need to identify if this dataset has a time dimension and then find notable spikes, dips, or breaks in the data over time. Let me start by checking what temporal columns exist in this dataset. ```json { "action": "tool_call", "reasoning": "I need to understand what time-based columns exist in this dataset. The dataset card shows many tables but doesn't detail all columns. I'll query the column metadata to find temporal columns across all tables.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type FROM meta.columns WHERE phys_type IN ('TIMESTAMP', 'DATE', 'DATETIME') OR column_name LIKE '%_at' OR column_name LIKE '%date%' OR column_name LIKE '%time%' ORDER BY table_name, column_name", "purpose": "Identify all temporal columns in the dataset to understand the time dimensions available", "source": "raw" } } ```