```json {"action": "final", "content": "Here is the list of columns in the `bedtime_screentime_sleep_debt` table, along with their data types and what they represent:\n\n### User Demographics & Profile\n* **`user_id`** (`VARCHAR`): A unique identifier for each user in the dataset.\n* **`age`** (`BIGINT`): The user's age in years (ranging from 18 to 65).\n* **`gender`** (`VARCHAR`): The user's gender identity (e.g., Female, Male, Non-Binary).\n* **`occupation_type`** (`VARCHAR`): The user's occupation category (e.g., Corporate 9-to-5, Student).\n* **`chronotype`** (`VARCHAR`): The user's natural sleep-wake preference (e.g., Early Bird, Intermediate, Night Owl).\n\n### Evening Habits & Screen Time\n* **`bedtime_phone_minutes`** (`BIGINT`): The number of minutes the user spends on their phone before going to sleep (ranging from 1 to 180 minutes).\n* **`primary_bedtime_app`** (`VARCHAR`): The main application the user interacts with before bed (e.g., Instagram / Reddit, YouTube).\n* **`screen_brightness_pct`** (`BIGINT`): The screen brightness percentage of the user's device before bed (ranging from 10% to 100%).\n* **`blue_light_filter_active`** (`BIGINT`): A boolean indicator (0 or 1) showing whether the user had a blue light filter enabled on their device.\n* **`caffeine_post_5pm_mg`** (`BIGINT`): The amount of caffeine consumed by the user after 5:00 PM, measured in milligrams.\n* **`physical_activity_min`** (`BIGINT`): The number of minutes the user engaged in physical activity during the day.\n\n### Sleep Metrics & Outcomes\n* **`sleep_latency_min`** (`DOUBLE`): The time it takes for the user to fall asleep, measured in minutes.\n* **`total_sleep_hours`** (`DOUBLE`): The total duration of sleep the user gets, measured in hours.\n* **`deep_sleep_pct`** (`DOUBLE`): The percentage of total sleep time spent in deep sleep.\n* **`rem_sleep_pct`** (`DOUBLE`): The percentage of total sleep time spent in REM (Rapid Eye Movement) sleep.\n* **`morning_alarm_snoozes`** (`BIGINT`): The number of times the user snoozes their morning alarm.\n* **`next_day_fatigue_score`** (`DOUBLE`): A self-reported or calculated score representing the user's fatigue level the following day (ranging from 1.0 to 10.0).\n* **`sleep_debt_category`** (`VARCHAR`): A categorical classification of the user's sleep debt (e.g., Mild Deficit, Severe Sleep Debt), derived from their total sleep hours.\n\n### System Metadata\n* **`_ingestion_timestamp`** (`TIMESTAMP`): The exact date and time when the record was ingested into the system.\n* **`_batch_id`** (`VARCHAR`): The identifier for the batch process that loaded the data.\n* **`_source_file`** (`VARCHAR`): The file path from which the data was loaded.\n* **`_source_system`** (`VARCHAR`): The system that provided the data (e.g., API)."} ```