Analyzing App User Segmentation&Uninstall Behavior

In this data-driven project, we delved into the realm of app user segmentation, utilizing powerful visualization libraries such as Plotly to uncover valuable insights. With the goal of understanding user behavior and preferences, we embarked on a journey to extract meaningful patterns from our app's user data.

We began by importing Plotly libraries (plotly.graph_objects, plotly.express, and plotly.io) and adopting a clean, white template ("plotly_white") to create visually appealing charts and graphs. The heart of our analysis was a meticulously prepared dataset in Pandas.

Our investigation led us to explore several key aspects of user behavior:

Average Screen Time: We calculated the average screen time for all users to gain insights into their typical interaction with the app.

Highest Screen Time: Identifying the users with the highest screen time gave us a glimpse into the most engaged individuals.

**Lowest Screen Time: **Conversely, pinpointing the users with the lowest screen time allowed us to understand the least engaged segments.

By visualizing these metrics with Plotly, we transformed raw data into intuitive and compelling visuals that told a compelling story about our app's user base. These visuals not only helped us understand the distribution of screen time but also served as valuable assets for reporting and decision-making.

But our analysis didn't stop there. We also sought to understand the dynamics of app uninstalls. By establishing relationships between user behavior and app abandonment, we uncovered patterns that could be crucial for reducing churn and improving user retention.

Overall, this project isn't just about the technical aspects of data analysis and visualization. It's a journey into the minds of our app's users, providing essential insights that can guide marketing campaigns, feature enhancements, and business strategies.

Join us on this exciting adventure into the world of app user segmentation and behavior analysis. Explore the data, dive into the visuals, and gain insights that can help your app thrive in a competitive landscape.