Today’s post comes via a co-worker of mine and is from the Pew Research Center’s Forum on Religion and Public Life. The infographic is of the long-running image type, but in this case is neatly sliced into digestible morsels of tasty infographic-ness. Below is a cropping of the longer piece. It looks at how Muslim populations in different countries feel about the importance of their religion in their daily life.
So the Olympics are over. But before they began, I and some co-workers made a prediction about how the United Kingdom and their Team GB would perform. We predicted 65 medals. How did the United Kingdom fare? They won 65 medals. This is a follow-up infographic about what made the United Kingdom a winner at the 2012 Summer Games. It’s a bit larger than the first version, but this one also includes new data and revisits some of the earlier themes.
Another important (and correct) prediction was that China would slip and not reach 100 medals. This should happen after experiencing the host nation bump. While we did not create a number for China, they scored only 87 medals. Another correct prediction.
All in all a very successful series. (Created for my employer Euromonitor International, as the usual disclaimer goes.)
The New York Times has been conducting surveys or polls of voters and likely voters in swing states, i.e. the states where the 2012 election will be decided. The nice thing about the piece is that it allows the user to select different sets of demographics through which one can view the questions asked. Furthermore, the user can mouse over the individual bar of a response and see the whole set.
The Olympics bring out the best. Well, at least in athletics. In terms of infographics, not always so much. This piece from CNN is a fairly unorganised mess with lots of individual datapoints. It’s a shame to see this at CNN when so many other news outlets are doing quality graphic work for the Olympics.
Here’s a rare weekend post to showcase some Olympic-related work.
The following graphic looks at how the ranking changes for the Top-10 countries if medals are weighted. To me it is ridiculous that Kazakhstan is ranked higher than Russia because Kazakhstan has won 4 gold medals compared to Russia’s 3 when Kazakhstan has a total of 4 medals whereas Russia has 24. (All counts current as of this post.) So while I have been ranking countries according to their total medal count, what happens if I weight the gold and silver medals against the bronze?
It turns out that the leaders don’t change, but the rest of the Top-10 ranking gets shuffled a bit. For example, Japan has performed well at an overall level with 21 medals thus far. But only two of those have been gold medals and so its rank in the system below fell three positions.
The Olympics are now fully underway and we can begin to see some patterns about who is doing well and who is, well, not. This infographic has a lot more to say about who had been doing well up through 2008. That is important because that was the last year before the fiscal/financial crisis brought about the first global recession since World War II. Stay tuned for the post-Olympic piece where I look at medal performance in 2012 compared to GDP per capita. Some interesting stories appear to be happening.
One can clearly see that GDP per capita is (generally speaking) a good variable for estimating Olympic success. So the countries in this graphic are three major economic regions. The G7, BRIC, and the Future-7. The G7 are the world’s richest/most productive countries. BRIC are supposed to become the next G7. And the Future-7 is a Euromonitor International grouping that looks at a group of countries that are expected to become the next BRIC-like group of countries.
It is probably worth noting that despite this being an infographic for work, where I generally am not allowed to write analysis, the written analysis is mostly mine with some key ideas brought to my attention by co-workers.
In this infographic about campaign ad spending in three battleground states, the New York Times shows that small multiples can work to create effective comparisons through an efficient use of space.
Mexico has some serious problems. Primarily with the drug cartels. About two weeks ago the National Post created an infographic that looked at the northern spread of Mexican drugs into the United States. The infographic also included details on the transit and transportation networks the different drugs take along with the geographic spread of the various cartels from the Tijuana, Federation, Juarez, and Gulf Cartels as reported by US cities.
Foreign Policy magazine rates countries as to how close they may or may not be to becoming failed states. Mexico is among those that have fallen into the “Warning” category over the recent years. The second half of the infographic looks at why. In short, in the past few years over 50,000 people have been killed in drug-related homicides and several more thousand have simply disappeared. The police, military, civilian officials, journalists, &c. have become targets of the cartel if they oppose the cartels.
Mexico has some serious problems. Sadly problems have a tendency to spill over borders.
Credit for the piece goes to Jonathan Rivait and Richard Johnson.
A lot of people’s minds may be on the Olympics that open up today in London. However, a very important story that was covered a little while ago deserves a post.
The United States has been suffering from a severe drought across much of the country. Droughts are nothing new, though climate change is likely to increase their intensity in the coming decades. This means more than lawns with dead grass; it means crop failures. Crop failures mean lack of food for humans and cattle. That means lower supply while demand holds steady. That means increasing prices. That means increasing pressure on already straining household budgets. Ergo, severe droughts can be a big deal.
The New York Times charted the geographic spread of droughts over the past century as small multiples. The print version was different, alas I have no photo, but the online version neatly groups maps by decade. Of some interest is how similar the scale of the 2012 coverage is in relation to that of 1934, the year of the Dust Bowl.
Credit for the piece goes to Haeyoun Park and Kevin Quealy
It turns out not so much. A comparison of the 2008 data for average BMI (coarsely how fat a person is) for countries across their economic productivity (GDP per capita) and total medals won shows that a country’s health culture does not greatly impact said country’s Olympic chances.
This is another from my work series on infographics for the Olympics.