```json { "action": "final", "content": "Based on the dataset's metadata, here is the complete list of the 23 columns in the `AI_Usage_and_Impact_on_Students_and_Professionals` table, along with their data types and what they represent:\n\n### User Demographics & Background\n* **`User_ID`** (VARCHAR): A unique identifier for each surveyed individual (e.g., U0001).\n* **`Age`** (VARCHAR): The age of the user.\n* **`Gender`** (VARCHAR): The gender identity of the user.\n* **`Country`** (VARCHAR): The country where the user is located.\n* **`User_Type`** (VARCHAR): Broad categorization of the user, primarily distinguishing between \"Student\" and \"Professional\".\n* **`Education_Level`** (VARCHAR): The user's highest completed or current level of education (e.g., undergrad).\n* **`Profession`** (VARCHAR): The specific job title or field of study of the user (e.g., Theoretical Physics Student).\n* **`Monthly_Income`** (VARCHAR): The user's monthly income.\n\n### AI Usage & Behavior\n* **`AI_Tool`** (VARCHAR): The specific AI tool or platform the user primarily engages with (e.g., Gemini).\n* **`AI_Purpose`** (VARCHAR): The broad category or main reason for using AI (e.g., Writing).\n* **`Tasks_Performed`** (VARCHAR): Specific activities the user completes with AI (e.g., \"Writing social media captions and posts\").\n* **`AI_Usage_Hours_Per_Day`** (VARCHAR): The average number of hours the user spends using AI tools daily.\n* **`Monthly_AI_Cost`** (VARCHAR): The amount of money spent per month on AI subscriptions or usage.\n* **`Work_or_Study_Hours_Per_Day`** (VARCHAR): The total number of hours the user spends working or studying each day.\n\n### Impact & Feedback Metrics\n* **`Productivity_Score`** (DOUBLE): A numeric score (ranging up to 10.0) reflecting the user's productivity.\n* **`Accuracy_Rating`** (BIGINT): A rating (typically 1-5) given by the user regarding the accuracy of the AI tool's outputs.\n* **`Satisfaction_Score`** (BIGINT): A numeric score (ranging up to 10) indicating how satisfied the user is with the AI tool.\n* **`Time_Saved_Hours_Per_Week`** (VARCHAR): The estimated number of hours the user saves each week by leveraging AI.\n* **`Would_Recommend`** (VARCHAR): Whether the user would recommend the AI tool to others (e.g., Yes/No).\n\n### System Metadata (Auto-generated)\n* **`_ingestion_timestamp`** (TIMESTAMP): The exact date and time the record was loaded into the database.\n* **`_batch_id`** (VARCHAR): An internal identifier for the data load batch.\n* **`_source_file`** (VARCHAR): The original file path from which the data was extracted.\n* **`_source_system`** (VARCHAR): The system or method used to ingest the data (e.g., API)." } ```