This manual has been available on this site since about 1996, with improvements taking place frequently. The current version has been published as a book of about 350 pages by Cambridge University Press. By agreement with the Press, however, it will remain posted on this web site. Many improvements in the current version over previous ones are due to the (anonymous) referees of the Press, whom I wish to thank heartily. I also wish to thank Lauren Cowles, of the New York office of the Press, for much help with preparing the original version for publication. The paper edition appears also in Duotone red and black. For information on obtaining the paper edition, take a look at the Cambridge Press catalogue.
As just about every statistics student can attest, Simpson's Paradox — a statistical phenomenon where an apparent trend is reversed when you look at subgroups — is notoriously hard to explain. You can look at examples — say, the fact that US wages are rising overall, but dropping within every educational group — but that don't really help to explain the paradox. But it's not really paradox at all, but simply the fact that the disparate rate at which members of the study join the subgroups isn't accounted for in the analysis. To demonstrate this effect, the Visualizing Urban Data...
The InfoVis:Wiki project is intended to provide a community platform and forum integrating recent developments and news on all areas and aspects of Information Visualization.
Using editable–by–anyone Wiki technology turned out to be the only way of keeping the presented information up to date and knowledge exchange vivid.
S. Jänicke, T. Efer, M. Büchler, and G. Scheuermann. Computer Vision, Imaging and Computer Graphics - Theory and Applications
, page 153--171. Cham, Springer International Publishing, (2015)
S. Kuznetsov, and S. Obiedkov. Principles of Data Mining and Knowledge Discovery
, page 289--300. Berlin, Heidelberg, Springer Berlin Heidelberg, (2001)
J. Matejka, T. Grossman, and G. Fitzmaurice. CHI '12 Extended Abstracts on Human Factors in Computing Systems
, page 181--190. New York, NY, USA, ACM, (2012)
M. Wu, R. Faris, and K. Ma. Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
, page 779--786. New York, NY, USA, ACM, (2013)
D. Shahaf, J. Yang, C. Suen, J. Jacobs, H. Wang, and J. Leskovec. Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, page 1097--1105. New York, NY, USA, ACM, (2013)