<invoke name="tool_call"> <parameter name="reasoning">Compare the candidate classifier columns in one query: group sizes and outcome spread, to see which segmentation is natural/meaningful.</parameter> <parameter name="tool">query_sql</parameter> <parameter name="args">{"sql": "SELECT 'sleep_debt_category' AS dimension, CAST(sleep_debt_category AS VARCHAR) AS segment, COUNT(*) AS n, ROUND(AVG(total_sleep_hours),2) AS avg_sleep_h, ROUND(AVG(sleep_latency_min),1) AS avg_latency, ROUND(AVG(next_day_fatigue_score),2) AS avg_fatigue, ROUND(AVG(bedtime_phone_minutes),1) AS avg_phone_min FROM raw.bedtime_screentime_sleep_debt GROUP BY 1,2 UNION ALL SELECT 'chronotype', chronotype, COUNT(*), ROUND(AVG(total_sleep_hours),2), ROUND(AVG(sleep_latency_min),1), ROUND(AVG(next_day_fatigue_score),2), ROUND(AVG(bedtime_phone_minutes),1) FROM raw.bedtime_screentime_sleep_debt GROUP BY 1,2 UNION ALL SELECT 'occupation_type', occupation_type, COUNT(*), ROUND(AVG(total_sleep_hours),2), ROUND(AVG(sleep_latency_min),1), ROUND(AVG(next_day_fatigue_score),2), ROUND(AVG(bedtime_phone_minutes),1) FROM raw.bedtime_screentime_sleep_debt GROUP BY 1,2 UNION ALL SELECT 'primary_bedtime_app', primary_bedtime_app, COUNT(*), ROUND(AVG(total_sleep_hours),2), ROUND(AVG(sleep_latency_min),1), ROUND(AVG(next_day_fatigue_score),2), ROUND(AVG(bedtime_phone_minutes),1) FROM raw.bedtime_screentime_sleep_debt GROUP BY 1,2 UNION ALL SELECT 'gender', gender, COUNT(*), ROUND(AVG(total_sleep_hours),2), ROUND(AVG(sleep_latency_min),1), ROUND(AVG(next_day_fatigue_score),2), ROUND(AVG(bedtime_phone_minutes),1) FROM raw.bedtime_screentime_sleep_debt GROUP BY 1,2 UNION ALL SELECT 'blue_light_filter_active', CAST(blue_light_filter_active AS VARCHAR), COUNT(*), ROUND(AVG(total_sleep_hours),2), ROUND(AVG(sleep_latency_min),1), ROUND(AVG(next_day_fatigue_score),2), ROUND(AVG(bedtime_phone_minutes),1) FROM raw.bedtime_screentime_sleep_debt GROUP BY 1,2 ORDER BY 1,2", "purpose": "Compare group sizes and outcome averages across every categorical dimension to find the most natural segmentation", "source": "raw"}</parameter> </invoke>