Designed by Robbie Tilton, this interactive graph, displaying total global emissions per country per year (up until 2010), is essentially a part-to-whole visualization with some extra use of color and graphics for added emphasis and affect. Users can switch between a bar graph and what amounts to a traditional pie chart (though only the outer surface area is displayed, leaving the smokey globe to think about). The visualization shows individual country (parts) effects upon the globe (whole) and uses varying color hues of red in order to show who pollutes the most (most opaque red) and the least (white). However, the bar graph and the pie chart are not quite perfectly representative across their respective mediums and might be a little misleading, depending on which graphic the user examines. Specifically, the pie chart creates to overlapping geographic sectors labeled "Asia & Oceania" (AO) and "Eurasia" (EA). The problem here is that there is the possibility for statistical overlap depending on which countries in Asia were considered closer (how? culturally? geographically?) to Oceania and which were closer to that of Eurasia. Typically, Eurasia is one continent that stretches from the "Atlantic in the west to the Pacific in the east...In the north Russia and Scandinavia abut [sic] the Arctic Ocean...Its southern borders are Africa, the Mediterranean Sea and the Indian Ocean" (http://en.wikipedia.org/wiki/Eurasia). Whereas Oceania controversially consists of "coral atolls and volcanic islands of the South Pacific to the entire insular region between Asia and the Americas...or used more specifically to denote Australia and proximate islands" (http://en.wikipedia.org/wiki/Oceania). SInce there is no legend or key to denote which countries are included in which geographic location, the user may be left with a sense of confusion. Likewise, when examining the bar chart, the geographic names change to specific countries such as China, Taiwan, India, Russia, Japan, Indonesia, and Australia, all of which might be considered part of one of the two geographic categories mentioned above. The whole visualization would certainly benefit from maintaining naming conventions between both manifestations and it seems that the information from the bar chart could have been easily applied to the pie chart