I See What You Mean

From the Center for Public Integrity comes this interactive map showing greenhouse gas emissions from many of the world's largest economies. Lots of data is packed into this simple interface, and the map itself is blessedly clear. Note, though, that when it comes to infoviz issues, even these pros needed a do-over. Check out the message in the lower left corner. In an earlier version they made the common mistake of comparing circles based on radius, instead of by area. It's to their credit that not only did they fix the mistake, but they also owned up to it and made the change. The larger problem, though, is that distinguishing the relative size of circles is not easy for the average viewer; rectangles are clearer, and would probably have made this cool map even stronger. Note also that stats are from 2005. Since then there's been substantial economic growth in China (for example), so the current numbers are likely to be even higher than what's shown here. Diffe

In a New York Times op-ed back in May, Reason.com editor Nick Gillespie pondered the fiscal consequences of legalizing "victimless" crimes such as prostitution, gambling and drugs: [Here's a way to] help the federal and state governments fill their coffers: Legalize drugs and then tax sales of them. And while we’re at it, welcome all forms of gambling (rather than just the few currently and arbitrarily allowed) and let prostitution go legit too. All of these vices, involving billions of dollars and consenting adults, already take place. They just take place beyond the taxman’s reach... Turning America into a Sin City on a Hill could help President Obama pay for his ambitious plans to overhaul health care and invest in green energy. More taxed vices would certainly lead to significant new revenue streams at every level. Now the folks at nightlife site Sloshspot.com have taken some data from NORML and various U.S. government agencies and created this : Not bad, I think

Here's another look at public health stats from various countries around the world. As with the first installment of this series , the countries included here rank in the Top 5 in at least one of four categories: Life Expectancy (longest), Under-5 Mortality (least), Health Care Expenditure per Capita (highest), and Prevalence of Physicians (greatest). (Source: Nationmaster.com .) NOTE: Unlike the previous chart, this one omits Macau and Hong Kong, which had made the cut because of their populations' longevity. I omitted these two Chinese territories because the only available figures on the geographical distribution of physicians reflect China as a whole. Result: not only does this camouflage the serious disparity between urban centers and rural districts, it obscures any geographical specifics. Comments and questions are invited.

In selecting my international sample, I decided to examine the top 5 countries in each of four categories:  Longest life expectancy (longest) Lowest infant mortality (least) Highest health care expenditure per capita Greatest prevalence of physicians My source for these stats was the invaluable Nationmaster.com . (Note:  As a proxy for Hong Kong and Macau, I've used China's expenditure figure, since they've both been under Chinese rule for the last decade.) Given where the two dimensions of this graph ultimately lead, I've nicknamed it "Death and Taxes (Sorta)."

Over at American Scientist , Robert Kosara of Eager Eyes weighs in on the difference between SciVis and InfoVis (rivers of blood, people, rivers of blood!): Visualization is often valued for producing pretty pictures for publications. But in scientific disciplines that work in nonspatial realms (bioinformatics, chemistry, the social sciences and so on), visualizing data is useful very early in the process of discovery. Turning numbers into pictures enables scientists to use their human prowess with reading visual data to spot patterns, trends and outliers. There is a historic distinction in the field of visualization between scientific visualization (SciVis) and information visualization (InfoVis). In SciVis, spatial information is almost always a given, coming from measured or simulated three-dimensional objects—photographic images of sorts. In InfoVis, researchers choose the most appropriate and informative layout. He then illustrates some ways in which the farmer and the cowman ca

Over at Eager Eyes , Robert Kosara has a suggestion for the Obama Administration. He points out that making the government's raw data available to the public could enhance governmental transparency* and lead to some new ways of looking at the country's problems. The challenge is not only data availability. A lot of data is, in fact, available. The US is the most transparent nation in the world – to an extent that can be frightening to an outsider (think pay data for state employees, property tax data, etc.). The challenge is that a lot of data is published in a format that is human-readable, not machine-readable. This might sound like a good thing, but it's not. Machine-readable data can be processed and transformed into any number of human-readable forms, that direction is trivial. Making human-readable data accessible to a machine is much more difficult, error-prone, and expensive. What we need is a National Data Agency (NDA). This agency would be tasked with collecting

As part of his larger mission of promoting "fact-based" public health policy, Swedish physician Hans Rosling founded Gapminder.org , which aims to make world health data available and understandable to everyone. Back in 2006, Rosling gave a well-received TED presentation on the principles of Gapminder, showing, among other things, relative historical changes in life expectancy and GDP. ( He spoke again in 2007. ) Rosling acknowledges that there are some small flaws and inconsistencies with data derived from all these different sources, but believes that the comparative results are far more significant. Check out the vast difference between Mauritius and Congo in income per person and life expectancy (shown on the Gapminder site and in the '06 presentation); consequently, says Rosling, using the term "sub-Saharan Africa" to describe both of these countries is vague to the point of uselessness. His point: The more easily data and details can be visualized and co