Web-based interactive graph visualization

• Main Author: Ng, Chin Teck
• Other Authors: Kong Wai-Kin Adams
• Format: Final Year Project
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering
• Online Access: http://hdl.handle.net/10356/74004
• Institution: Nanyang Technological University

Data visualization are techniques to process dataset into a visual object for the users to view it graphically, in order to help people find patterns, trends and correlation in the complex dataset, but to perform data visualization, analyst usually needs to install software on their computers. The purpose of this project is to design and develop a web-based network visualizer prototype with the intention of allowing data analyst analyse dataset without the need to install a software on their system. This web-based project will be developed using HTML, CSS, JavaScript, jQuery, AJAX. The web server will be hosted using NodeJS and database will be powered by OrientDB. By the end of the project, a prototype of the website will be developed with basic analysis functions implemented and continuation of this project is to be expected therefore, the website will be built with extensibility in mind. Improvements, like additional clustering methods, ways to differentiate data through colour coding and further optimizing the algorithm can be implemented in the near future.