Intuitive Visualization For Self-Balancing Binary Trees

Abstract

Self-balancing binary trees are fundamental data structures in computer science, widely used in applications requiring efficient data retrieval and management. However, their dynamic properties and balancing mechanisms can be challenging to comprehend, especially for learners and practitioners. This project, titled "Intuitive Visualization for Self-Balancing Binary Trees," aims to bridge this gap by developing an interactive and engaging data visualization tool. Designed using modern web technologies, the tool offers a responsive and user-friendly interface, enabling real-time interaction and exploration of tree operations.