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The first one is about NCAA. Check out the original and fully interactive version (you can click on nodes to get details) with description, at http://thepowerrank.com/visual/NCAA_Tournament_Predictions.

The second one is from me, representing click scores vs. odds (for a click) of converting: the higher the score, the more likely the click will produce a conversion, as scores are designed as conversion predictors. Especially useful to predict the value of new keywords (with no performance history) added to a pay-per-click advertising campaign. Produced with R, it's an attempt at representing 4 dimensions in a plane, as well as a new way to segment the click universe:

  1. X-axis for the score (average score around 600)
  2. Y-axis for conversion odds (1 = average)
  3. Size of rectangle represents the number of clicks in a bucket where all clicks have the same multivariate vector and same score
  4. Color represents cost per click, called CPC (blue = low, green = medium, red = high)

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Comment by David Robinson on March 20, 2013 at 11:39am

The d3 software used to construct the top graph has a number of examples that warrant a look:  d3js

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