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Look what I found: two amazing charts

[shared via Google Reader from Junk Charts]

While doing some research for my statistics blog, I came across a beauty by Lane Kenworthy from almost a year ago (link) via this post by John Schmitt (link).

How embarrassing is the cost effectiveness of U.S. health care spending?


When a chart is executed well, no further words are necessary.

I’d only add that the other countries depicted are “wealthy nations”.


Even more impressive is this next chart, which plots the evolution of cost effectiveness over time. An important point to note is that the U.S. started out in 1970 similar to the other nations.


Let’s appreciate this beauty:

  • Let the data speak for itself. Time goes from bottom left to upper right. As more money is spent, life expectancy goes up. However, the slope of the line is much smaller for the US than the other countries. There is no need to add colors, data labels, interactivity, animation, etc.
  • Recognize what’s important, what’s not. The US line is in a different color, much thicker and properly made the foreground of the chart.
  • Rather than clutter up the chart, the other 19 lines are anonymized. They all have the same color and thickness, and all given one aggregate label. This is an example of overcoming loss aversion (see this post for more): it is ok to suppress some of the data.
  • The axis labeling is superb. Tufte preaches this clean style. There is no need to use regularly-spaced axis labels… use data-informed labels. Unfortunately, software is way behind on this issue. You can do this in R but that’s about it.

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