NOTICE!!! As some you may have observed, the server that is
hosting some of the data sets for Task 2 is not responding. The problem will
hopefully be fixed soon. Because of this, the deadline for Task 2 is extended to
next friday, that is, March 16. This deadline is final, and will not
be further extended even if
kdd.ics.uci.edu stays down. Task 1 should still be submitted by
the original deadline of March 12, however. Those of you who have already
submitted the report may hand in an updated version before the new deadline if
you still want to improve your work.
To pass the course you must pass the examination and complete this exercise work. The work will be graded on the scale rejected, passed and passed with distinction.
To complete the exercise work you may need information that has not been discussed in the lectures. If you have any questions please do not hesitate to contact the assistant or the lecturer for hints, guidance or references.
The exercise work will be graded within a month of the deadline. A passed exercise work will be valid for one year after the original deadline.
kdd.ics.uci.eduserver the deadline for Task 2 is extended to March 16.)
Write a summary (roughly 1000 words) of the paper The Value of Visualization, Jarke J. van Wijk, Infovis 2005.
The task is to produce a self-contained document that can be understood by anybody who has taken this course but hasn't read the actual paper by van Wijk. Concentrate on the important parts of the paper, do not try to discuss everything in the 1000 words! You can use images in the summary to clarify important concepts, but if you do, make sure they are referenced in the text and have a proper caption. You can also use images from the original article, but if you do so, please indicate the source clearly. And do not use images simply to make your summary look more interesting, they must work in conjunction with the text.
Download one of the data sets listed below and visualize some interesting phenomena in the data. Write a short (3-5 pages) report that describes your approach, obtained results and the methods and tools used.
The purpose is not to do an analysis that covers the data from all possible angles. Focus on one or two aspects and try to make a clear visualization of them. In some cases the data descriptions mention tasks for which the data was originally published. Do not care about these! Try to relate your work to the topics discussed in the course, i.e., Tufte's principles, Gestalt laws, etc., when preparing the visualizations. Also, make sure your images convey at least some of their information when printed on a black and white laser printer.
NOTICE! (Added Sat. 10.3, 2.30 pm) The
kdd.ics.uci.edu site seems to be unavailable. This is probably a temporary problem, but if you haven't yet obtained a copy of a data set hosted on the site in question, please use some other data that is available. Unfortunately we do not have copies of the data sets that we could host on the local server. At the moment the problem only affects the Internet Usage Data.
The use of available visualization tools (e.g. Matlab, R, Inkscape, (Open)Office, etc.) is encouraged. However, implementing your own scripts and small programs for processing the data will be necessary. Do not hand in any programs or source code you may have written! They will not be graded.
You are at: CIS → T-61.5010 Exercise work 2007
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