```json { "action": "tool_call", "reasoning": "I need to identify the most common values for categorical columns. From the evidence, I can see the data has mixed content - some rows are daily summaries (Thu, Fri, etc.), some are date-based (23-Jun, 24-Jun), and some are section headers or totals. The columns appear to contain different types of data in different rows. Let me query to get the actual categorical breakdowns from the meaningful data rows, excluding headers and totals.", "tool": "query_sql", "args": { "sql": "SELECT Day, COUNT(*) as frequency FROM raw.callyeah_analytics_2026_07_23 WHERE Day NOT IN ('TOTAL', '', 'Date', '=== DAILY TREND — LAST 30 DAYS ===', '=== CALL OUTCOMES (30-DAY PERIOD) ===', '=== ESCALATION REASONS (30-DAY PERIOD) ===') AND Day NOT LIKE 'CY-%' AND Day NOT LIKE '%===%' GROUP BY Day ORDER BY frequency DESC LIMIT 20", "purpose": "Get the most common Day values (excluding headers and summary rows) to understand the categorical breakdown", "source": "raw" } } ```