### Data Description

This dataset contains synthetic data simulating customer behavior for a Netflix-like video streaming service. It includes 5,000 records with 14 carefully engineered features designed for churn prediction modeling, business insights, and customer segmentation.

#### Data Source

| Column                 | Description                                                    |
| ---------------------- | -------------------------------------------------------------- |
| customer_id            | Unique identifier for each customer.                           |
| age                    | Age of the customer.                                           |
| gender                 | Gender of the customer.                                        |
| subscription_type      | Type of Netflix subscription (e.g., Basic, Standard, Premium). |
| watch_hours            | Total hours the customer watched content.                      |
| last_login_days        | Number of days since the customer's last login.                |
| region                 | Geographical region of the customer.                           |
| device                 | Primary device used by the customer to watch Netflix.          |
| monthly_fee            | Monthly subscription fee paid by the customer.                 |
| churned                | Indicates if the customer churned (1) or not (0).              |
| payment_method         | Payment method used by the customer.                           |
| number_of_profiles     | Number of profiles associated with the account.                |
| avg_watch_time_per_day | Average daily watch time in hours.                             |
| favorite_genre         | Customer's most frequently watched genre.                      |

#### Data Source

The data was sourced from Kaggle open dataset [Netflix Customer Churn - Abdul Wadood](https://www.kaggle.com/datasets/abdulwadood11220/netflix-customer-churn-dataset/data)