World Bank fails to lead the way in #dataviz

Matthew Yglesias, writing for Vox, cited the following chart from a World Bank project:

His comment was: "We can see that while China has overtaken Germany and Japan to become the world's second-largest economy (i.e., total area of the rectangle) its citizens are nowhere near being as rich as those of those countries or even Mexico." Yes, the chart encodes the size of the economy in a rectangular area, with one side being the per-capita GDP and the other being the population. I am not sure about the "we can see". I am not confident that the short and wide rectangle for China is larger than the thin and tall ones for Japan and for Germany. Perhaps Matthew is relying on knowledge in his head, rather than knowledge on the chart, to come to this conclusion. This is the trouble with rectangular area charts: they have a nerdy appeal since side x side = area but as a communications device, they fail. Here are some problems with the chart:

• it's difficult to compare rectangular areas
• the columns can only be sorted in one way (I'd have chosen to order it by population)
• labeling is inelegant
• colors are necessitated by the chart type not the data
• the cumulative horizontal axis makes no sense unless the vertical axis is cumulative GDP (or cumulative GDP per capita)

Matthew should also have mentioned PPP (Purchasing Power Parity). If GDP is used as a measure of "wellbeing", then costs of living should be taken into account in addition to incomes. The cost of living in China is much lower than in Japan or Germany and using the prevailing exchange rates disguises this point.

In the Trifecta Checkup, this is a Type QDV.

Try your hand at fixing this one. There are no easy solutions. Does interactivity help? How about multiple charts? You will learn why I classify it as QDV instead of just DV.