Mobile Device Usage and User Behavior Dataset

The Mobile Device Usage Dataset provides an in-depth analysis of user behavior and mobile usage patterns, making it ideal for researchers, data scientists, and analysts in the mobile technology and application development sectors. With 700 samples of user data, this dataset offers valuable insights into app usage, battery consumption, and data habits, categorized into five distinct user behavior classes.

Dataset Features:

• User ID: Unique identifier for each user.
• Device Model: Model of the user’s smartphone.
• Operating System: The OS of the device (iOS or Android).
• App Usage Time: Daily time spent on apps, measured in minutes.
• Screen-On Time: Average hours per day the screen is active.
• Battery Drain: Daily battery consumption in mAh.
• Number of Apps Installed: Total apps available on the device.
• Data Usage: Daily mobile data consumption in megabytes.
• Age: Age of the user.
• Gender: Gender of the user (Male or Female).
• User Behavior Class: Categorized user behavior levels (1 to 5, ranging from light to extreme usage).

Key Applications:

1. Behavior Analysis: Understand and segment user habits based on device usage patterns.
2. Predictive Modeling: Develop machine learning models to predict mobile behavior trends.
3. App Optimization: Tailor mobile applications for specific user behavior classes.
4. Technology Insights: Analyze patterns to inform mobile technology advancements.