CS5631 Reading List: Week 8

Textbook Material
Read the following materials
  • The Marks and Channels slides 05-Marks-Channels.pdf.
  • The Colors slides 06-Colors.pdf.
  • The Colors slides 07-Tables.pdf.
  • Chapter 4 to Chapter 6 of How to Lie with Statistics by Darrell Huff. This should be an easy and quick read, but you will learn something for sure.
  • Read Chapter 4 to Chapter 6 in PART II: Theory of Data Graphics of The Visual Display of Quantitative Information by Edward R. Tufte.
  • Read Multivariate Analysis Using Parallel Coordinates by Stephen Few for more information on parallel coordinates. Alfred Inselberg even wrote a very interesting book on parallel coordinates: Alfred Inselberg, Parallel Coordinates: Visual Multidimensional Geometry and Its Applications, Springer, 2009. You can access the online version of this book via the Library.
  • These are REQUIRED reading. Please do not take it lightly.

Preparing Your Term Project Proposal
  • Select a Meaningful Proposal Title
  • Have your name on the second line
  • The first section should be titled as Project Summary in which you briefly state the dataset, what you intend to do (i.e., your questions) and what you intend to find.
  • Then, you have Data Abstract followed by Task Abstraction. In Data Abstraction you discuss your dataset, its type, the data attributes and type (i.e., categorical, ordering, etc.), heirarchical structures, data semantics, etc. etc. In Task Abstraction you should discuss various task abstraction issues such as actions and targets. For example, for each action/target, provide what you intend to apply to the dataset in order to find the answer.
  • A section in whatever title to discuss the following issues:
    1. How will you find hierarchical structures in your dataset and your way of visualizing these structures?
    2. How will you find distributions, dependencies, correlations, similarity, etc.? Note that the use of various visual techniques and the user of clustering techniques and modeling (if you know how to do it) would be extremely important.
    3. Will you be able to predict what will happen after you have done your analysis?
    4. Whatever you want to add.
    5. A Conclusions or Summary section in which you will provide a summary of your work.
    6. You may add whatever you think important to your proposal as long as these topics can make your proposal better.
    7. Send your proposal to me via email for further comments.
Other Information
  • The original paper discussing the Berkeley admission bias issue can be found in the common directory with filename Bickel-Sex-Bias-in-Graduate-Admission-Berkeley.pdf.
  • The data used in class for Mosaic plots can be found in a paper by Michael Friendly. The original paper is also in the common directory with filename Friendly-Mosaic-Displays-for-Multi-Way-Contingency-Tables.pdf