Mobile App Screen Time Analytics
Data Science and Analytics
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About
This dataset provides detailed insights into mobile application usage patterns, including screen time, the number of notifications received, and how many times an app was opened. The data covers multiple days in August and includes popular applications, offering a granular view of digital behaviour. It is suitable for analysing user engagement and habits.
Columns
- Date: The specific date on which the data was recorded for app usage.
- App: The name of the mobile application being analysed. There are 8 unique application names represented.
- Usage (minutes): The total number of minutes a user spent actively using a particular app on a given day. Values range from 1 to 119 minutes, with an average of 37.8 minutes.
- Notifications: The count of notifications received from a specific app on a given day. Values range from 0 to 147 notifications, with an average of 28.7 notifications.
- Times Opened: The frequency an app was launched or opened on the recorded day. Values range from 1 to 99 times, with an average of 21.6 times.
Distribution
The dataset is provided as a CSV file named
screentime_analysis.csv
, with a file size of 5.52 kB. It comprises 5 columns and contains 200 individual records or rows, ensuring a robust sample for analysis.Usage
This dataset is ideal for various applications and use cases, including:
- Digital behaviour analysis: Understanding user interaction with mobile applications.
- App engagement studies: Identifying how frequently and for how long users engage with different apps.
- Screen time research: Investigating patterns and trends in daily mobile device usage.
- Notification impact analysis: Assessing the influence of notifications on app opening and usage.
- Data visualisation: Creating visual representations of mobile usage trends.
- Developing user habit insights: For researchers and businesses to inform product development and policy.
Coverage
The data spans multiple days in August 2024, specifically from 01 August 2024 to 30 August 2024. The dataset focuses on usage patterns across popular mobile applications, providing insights into typical digital behaviour. There is no explicit geographic or demographic scope provided beyond general mobile app users.
License
CC0: Public Domain.
Who Can Use It
This dataset is beneficial for:
- Data analysts and scientists looking to explore mobile usage trends.
- Market researchers studying consumer digital habits.
- App developers interested in understanding user engagement and optimising app features.
- Behavioural scientists researching digital well-being and addiction.
- Educators and students for case studies in data analysis and mobile computing.
Dataset Name Suggestions
- Mobile App Screen Time Analytics
- Daily Digital Habits Dataset
- App Usage and Notification Patterns
- August 2024 Mobile Engagement
- User Screen Time Insights
Attributes
Original Data Source: Mobile App Screen Time Analytics