A few weeks ago, Bloomberg Businessweek published a nice graphic that summarised the last 25 years of oil spills. I’m finally getting around to posting it. But what it does really well is show just how bad the Deepwater Horizon spill was compared to the other big name disaster: Exxon Valdez. Of particular note is the bar chart at the bottom right comparing the millions of gallons of oil spilled.
Credit for the piece goes to Evan Applegate.
Today’s piece comes from the New York Times. It fits within a broader article about smoking in the United States. The map is a choropleth that compares the smoking rate across counties and states in 1996 and 2012. However, as the article talks about how difficult it has been to decrease the smoking rates among the poor, I wonder if even just a third map would be useful. This map could have shown the actual decline, perhaps in percentage points, of counties between 1996 and 2012. Or another related graphic could have tried to correlate income and said change.
Credit for the piece goes to the New York Times graphics department.
Today’s post comes via the New York Times. It’s a simple concept, but shown clearly in this collection of scatter plots. Growth in income for many counties has meant a growth in life expectancy. Unfortunately, not all counties are prospering and so the gap between rich and poor, and therefore the long-lived and shorter-lived, has grown.
Perhaps the only criticism I have about this piece is that for the highlighting of Fairfax County, Virginia and McDowell Country, West Virginia, an additional component could have summarised the growing gap between the two. For example, a bar chart along the axes of each could measure the growth in income disparity and the growth in life expectancy disparity.
Credit for the piece goes to Alicia Parlapiano.
Republican congressman Dave Camp, Chairman of the House Ways and Means Committee (basically responsible for the tax code), wants to simplify the tax code. This nice graphic by the Washington Post basically sums up the changes.
Credit for the piece goes to the Washington Post graphics department.
I often rail against the use of maps. I often hear “They’re pretty!” or “They’re colourful!” or “But I really do know where Guatemala is!” or “I can see my house!”. They’re often just a crutch, unless you can use them to show an actual geographic distribution. Thankfully from Quartz we get a series of small multiple maps that look at the geographic distribution of top trading partners for a select set of geographies.
For this set, I think the colours could be the same and perhaps the chosen country perhaps outlined or otherwise signalled on the map. (Only because my utter lack of faith in people being able to identify countries on a map.) Still, it’s a good piece overall that makes nice use of maps.
Credit for the piece goes to David Yanofsky.
The West hesitates to use military force to push Russian troops out of Crimea. Likely with good reason as any such campaign would be neither cheap nor bloodless in addition to running the risk of spreading beyond the borders of Ukraine. So that leaves diplomatic and economic isolation. Diplomatic isolation is already underway—the G8 conference to be hosted in Sochi this summer is all but dead. But economic isolation is still being discussed.
The United States is generally in favour, but Europe—namely Germany—has been more cautious. But as my graphic shows, without Europe a sanctions regime would be largely toothless since half of Russia’s exports go to Europe. Except that Russia is also responsible for a significant proportion of Europe’s imported natural gas and sanctions on Russia could cause an interruption in that fuel to Western Europe. Naturally, most of that natural gas is, of course, transported through pipelines running across Ukraine.
Today’s piece comes from Bloomberg Businessweek. In the wake of the Pentagon’s decision to push for budget cuts including force reduction and slashing several programmes, I decided to show this chord diagram that shows how the defence industry supports itself.
Credit for the piece goes to Robert Levinson, Dorothy Gambrell, and David Evans.
The Washington Post published this dot plot graphic to explore inequality in household income across numerous American cities.
The chart, as most dot plots do, does a good job of showing where several distinct points within a set fall within the entire range of data. Or to put it into other words, where do the poorest, the richest, and the most middlest households in Philadelphia fall within all Philadelphia households? The data is interesting because you will begin to uncover some significant outliers. For example, by quick glance, the 50th percentile in both Detroit and Cleveland earn less than the 20th percentile in San Jose.
Credit for the piece goes to the Washington Post graphics department.
Spring training has begun for baseball fans. The glow from the Red Sox victory last October is fading as we now wonder if we can repeat. Fans of other teams now wonder if this is their year. Over at SB Nation, an article plotted 29 baseball teams—ignoring the Dodgers— and looked at their chances in the upcoming years. The article continues using the chart to explain which teams fall where.
And for the designers, note the type choice for “Nope”.
Credit for the piece goes to Grant Brisbee.
Last week, the Swiss people narrowly rejected the principle of freedom of movement. This principles serves as one of the foundations of the European Union. And while Switzerland does not belong to the EU, its economy benefits from access to the single market via that freedom of movement principle. That may be an oversimplification perhaps, but it provides some context to the consternation in Europe over the Swiss people rejecting the principle.
This graphic is not particularly complex. It is a choropleth of the vote results. However, it does show that the vote was not unanimous. Rather it was contained to the cantons (analogous to states in the US) more rural in character, i.e. less urban places like Geneva.
Credit for the piece goes to the BBC graphics department.
