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Peter H

Sweet!

C.vdBerge

Have you tried doing this in Protovis?
http://vis.stanford.edu/protovis/ex/brush.html

Martin

Nice post, some points to add:

  1. With "only" 11 variables and some dozens of observations the SPLOM does still work reasonable well. For 20 variables and some hundreds of cases this plot will fail.
  2. The ellipses help a lot in judging the correlations, but do we need a plot if this is essentially all we look at?
  3. Linking cases across the scatterplots will take us to even higher dimensional insights than just 2-d.
  4. Is the data available somewhere? I am keen on looking at the data in Mondrian.
  5. If there is a geographical reference in the data, i.e., the neighborhoods, we should link the map with the data. This will be far more powerful than any analysis which ignores this aspect.
But the important point is that you actually collected real data and addressed a real problem!

Mike Lawrence

Check out the "ezCor" function in the "ez" package for R. It plots something similar, but with additional features such as univariate densities, correlation coefficients, etc.

fefer

regrg

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