```json { "action": "tool_call", "reasoning": "I need to identify the most common values for categorical columns. From the evidence, I can see the dataset 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. I should query to get the top values for each meaningful categorical column, excluding the metadata columns (_ingestion_timestamp, _batch_id, _source_file, _source_system) and focusing on the business columns. Let me get the top 10 most frequent values for each categorical column.", "tool": "query_sql", "args": { "sql": "WITH day_values AS (SELECT Day as value, COUNT(*) as frequency FROM raw.callyeah_analytics_2026_07_23 WHERE Day IS NOT NULL AND Day != '' GROUP BY Day ORDER BY frequency DESC LIMIT 10), total_calls_values AS (SELECT \"Total Calls\" as value, COUNT(*) as frequency FROM raw.callyeah_analytics_2026_07_23 WHERE \"Total Calls\" IS NOT NULL AND \"Total Calls\" != '' GROUP BY \"Total Calls\" ORDER BY frequency DESC LIMIT 10), ai_handled_values AS (SELECT \"AI Handled\" as value, COUNT(*) as frequency FROM raw.callyeah_analytics_2026_07_23 WHERE \"AI Handled\" IS NOT NULL AND \"AI Handled\" != '' GROUP BY \"AI Handled\" ORDER BY frequency DESC LIMIT 10), human_handled_values AS (SELECT \"Human Handled\" as value, COUNT(*) as frequency FROM raw.callyeah_analytics_2026_07_23 WHERE \"Human Handled\" IS NOT NULL AND \"Human Handled\" != '' GROUP BY \"Human Handled\" ORDER BY frequency DESC LIMIT 10), voicemail_values AS (SELECT Voicemail as value, COUNT(*) as frequency FROM raw.callyeah_analytics_2026_07_23 WHERE Voicemail IS NOT NULL AND Voicemail != '' GROUP BY Voicemail ORDER BY frequency DESC LIMIT 10) SELECT 'Day' as column_name, value, frequency FROM day_values UNION ALL SELECT 'Total Calls', value, frequency FROM total_calls_values UNION ALL SELECT 'AI Handled', value, frequency FROM ai_handled_values UNION ALL SELECT 'Human Handled', value, frequency FROM human_handled_values UNION ALL SELECT 'Voicemail', value, frequency FROM voicemail_values ORDER BY column_name, frequency DESC", "purpose": "Get the top 10 most frequent values for each main categorical column to understand the distribution of values", "source": "raw" } } ```