Information Visualization is an introductory course on data Visualization based on a modern and cohesive view of the area. Topics include visualization design, data principles, visual encoding principles, interaction principles, single/multiple view methods, item/attribute, attribute reduction methods, toolkits, and evaluation. Overviews and examples from state-of-the-art research will be provided. The course is designed as a first course in information visualization for students both intending to specialize in visualization as well as students who are interested in understanding and applying visualization principles and existing techniques.
This repository contains three mini projects involing geo data, temporal data, and networks. Project descriptions are provided in the links below. It includes the tasks assigned as well as the data used. They are in the form of Google Docs.