Basketball Stats Tool

(View this project from GitHub)

This project features a user-friendly menu that allows users to display teams and access a quit option to start or exit the application. Upon selecting the display option, users can navigate to a submenu where they can review individual teams, get an overview of all teams, or return to the main menu.

Key Features:

• Data Tidying: I meticulously cleaned the dataset, removing inconsistencies and organizing the information for easy access.

• Team Structuring: Players were grouped into teams of equal strength, promoting balanced representation across all groups.

• Statistical Exploration: Users can delve into detailed team statistics and related metrics.

Technical Skills Utilized:

• Python: The primary programming language for data manipulation and application development.

• Data Cleaning: Employed techniques to refine and preprocess the dataset, ensuring data is cleaned and sorted before using.

• Dictionary Handling: Utilized dictionaries for efficient organization and retrieval of data.

• Functions: Implemented reusable functions to streamline data processing and analysis.

This project not only enhanced my programming skills but also provided valuable experience in designing applications that effectively manage and present data.