|Due October 29||CS 7450 - Information Visualization||Fall 2012|
First, think about the kind of information that you would want to learn from this data. Put yourself in the shoes of a consumer. What things about the TV sets would you want to know? Push past the simple "Is it a good TV?" question.
Next, design a visualization of the data set that you feel would help a person learn about the television and understand the issues that identified earlier. Think especially hard about visualizing aspects of the data set that would be difficult to extract from simple search queries against it. Sketch your visualization on paper. I'm not looking for a working system here or even a detailed representation where the actual data values are shown. Just do a conceptual design that shows what your visualization would look like if it was being applied on the data set in general. Try not to simply replicate some well-known infovis technique, however. Be effective, but also try to be creative. I will reward creative ideas. Also, don't forget the interaction! A static piece of paper does not do justice to an interactive visualization, so you likely will need to explain how the viewer would interact with and update the display.
What to turn in: Draw/sketch/show your design on a piece of paper or a few pages (don't go overboard). Feel free to annotate the sketch with small comments or captions to explain what it is and how it would work. On a separate page, explain your visualization design in a paragraph or two.
Grading: We will primarily rate the quality of your design. Here, we are looking for both effectiveness and creativity. We also will examine how clearly and effectively you explain your design. Remember that communicating one's work is almost as important as the work itself. (We do realize that people have differing levels of design ability and experience. Do your best -- Try to apply the design principles that we have been learning in class.) The purpose of this assignment is to provide you with experience in the analysis of text-centric data like this and the design of visualizations to present the data.