This dashboard provides an exploratory analysis of iOS/Android screen time and app usage behavior. It visually organizes data across multiple dimensions to help users understand usage patterns and productivity impact. Here’s a section-wise overview:

Dataset Link : https://www.kaggle.com/datasets/khushikyad001/screen-time-and-app-usage-dataset-iosandroid/
- Top Summary Metrics: The top row contains key performance indicators (KPIs) such as the number of users, total interactions, YouTube engagement metrics (likes, views, comments), and average screen time. These offer a high-level snapshot of user behavior and engagement.
- Productivity Analysis:
- A donut chart shows the proportion of productive vs. non-productive interactions.
- A bar and line combo chart displays average screen time, productive cases, and app launches across individual apps.
- A bar chart breaks down average screen time by app category and whether usage is productive.
- Time Series Analysis:
- A line chart tracks average screen time and productive usage over time (by year, quarter, month, and day).
- Another line chart compares YouTube metrics (likes, comments, views) over time to identify trends.
- App Usage Distribution:
- A pie chart shows the distribution of app launches by category (e.g., Social, Productivity, Entertainment).
- Filter Panel (Right Sidebar): Users can interactively filter the data by date, app name, category, and productivity status for detailed exploration.
This dashboard is designed for a data-driven view of mobile app usage, helping analyze patterns across productivity, engagement, and content consumption.
