- something of interest to you and, hopefully, other AK ASA members - multivariate (even 10 - 20 variables would be fine) - continuous if possible, but a mix of continuous and categorical is okay - modeling-type data [with distinct predictor (or predictors) and response variables] make for potentially more interesting examples (modeling, assessment of model fit, etc.) - space or time data, also good
McLeod and S. B. Provost (to appear in the Encyclopedia of Environmetrics) http://www.stats.uwo.ca/faculty/aim/mviz/default.htm [earlier link no longer works ... see: http://www.stats.uwo.ca/faculty/aim/vita/pdf/mviz.pdf instead]
GGOBI book (pdf downloads of sections) http://www.public.iastate.edu/%7Edicook/ggobi-book/ggobi.html [Link no longer works ... book as since been published, see: http://www.ggobi.org/book/ for similar links, etc.]
(http://www.math.yorku.ca/SCS/Gallery/)
Joel Reynolds Phone: 786-3914 Email: Joel_Reynolds@fws.gov