CS 725/825 - Information Visualization
Fall 2013: Tues/Thurs 1:30-2:45pm, E&CS 2120

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Tableau's data visualization software is provided through the Tableau for Teaching program.

Homework 6: Visualizing Multivariate Data

Assigned: Tuesday, Oct 22, 2013
Due: Tuesday, Oct 29, 2013 before class begins

Part 1 - Written Assignment

  1. (7.1.1) Describe four methods for visual analysis of multivariate data.
  2. Describe how to interpret a parallel coordinates plot. What are the key features to look for?
  3. Describe how parallel sets differ from parallel coordinates.
  4. What are some disadvantages of Chernoff faces?
  5. Describe the idea behind pixel bar charts.

Submission: Submit a hard copy at the beginning of class.

Part 2 - Programming Assignment

First, create a webpage (http://www.cs.odu.edu/~username/cs725f13/hw6.html would be suitable) to hold the results of this part of the assignment.

For this part, use either an appropriate textbook dataset (http://www.idvbook.com/teaching-aid/data-sets/) or the football dataset (http://www.cs.odu.edu/~mweigle/cs725f13/passing-stats.csv). You may use the same dataset for both parts or choose a different dataset for each.

  1. Generate a heatmap. You choose which attributes to display and which toolkit to use.
  2. Generate either a parallel coordinates graph or a pixel bar chart. You choose which attributes to display and which toolkit to use. Note: Successfully implementing a pixel bar chart will get you extra points.

For both parts, make sure that you clearly explain your visualization, including naming the dataset, describing the attributes you chose to visualize, and describing any interesting insights or questions discovered using the visualization.

Grading Rubric: Rubric for Programming Assignments

Submission: Email me the URL of your webpage before class begins. We will discuss the problem in class. I may show one or two solutions as examples.