Land and Sea Software Corp is seeking to understand user interaction with their mobile app platform by analyzing existing data to uncover usage patterns. The company has been collecting comprehensive data, including screen views and key strokes, but lacks the resources to process and interpret this information effectively. The goal of this project is to enable a team of learners to apply their data analysis skills to extract meaningful insights from the raw data. By identifying trends and patterns in user behavior, the project aims to provide actionable recommendations for enhancing user experience and optimizing app functionality. This project offers learners the opportunity to apply classroom knowledge in data mining and analytics to a real-world scenario, while contributing valuable insights to the company.

The project deliverables will include a detailed report and presentation summarizing the findings of the data analysis. Key deliverables are:

- A comprehensive analysis of user interaction patterns with the mobile app, with particular emphasis on what features are used most and the profile of the users of these features.

- Visualizations that highlight significant trends and usage patterns.

- Recommendations for improving app features based on the analysis.

- A presentation to the Land and Sea Software Corp team outlining the findings and suggestions.