Data visualization has become a big representation of many company’s data and schedules. Now people are not using just simple bar graphs and pie charts in business meetings but utilizing other fields of study and even more complex graphs. By using multiple visualizations to display their results and projects, it is letting more outside people understand what they are working on and can lead to more viewpoints on the topic being displayed. Also, schedules for projects are now being displayed visually so the workers can see how much time each part of their project is going to take. With this increase in visualization, decision trees are now starting to become visualized. Decision trees zero in on object classification and find a way to label or group those objects. In this paper, complex decision trees that can be hard to understand for everyone will be visualized using radial trees. The program will take the advantages that radial trees offer for data and create an interactive display for users of decision trees and forests.
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Master's Thesis for completion of Master of Science in Computer Science at Kutztown University of Pennsylvania