On Friday Hillary Clinton steps down as Secretary of State to (likely) be replaced by John Kerry whose confirmation votes will (likely) be later this week. One of the big roles for the Secretary of State is to travel abroad and represent the United States. If secretaries go where the US needs to be represented, that would imply that some states are more important for foreign visits. So has there been a shift in priorities in recent years?
In this interactive piece the Washington Post looks at where James Baker, Warren Christopher, Madeline Albright, Colin Powell, Condoleeza Rice, and Hillary Clinton visited during their tenure at Foggy Bottom. The screen shots below only show the maps—there are very useful tables for finding data on trips to specific countries—for Baker and Clinton and comparing the two. The shift from the European/Cold War mentality is quite pronounced.
Credit for the piece goes to Emily Chow and Glenn Kessler.
The New York Times looks at who controlled the redistricting of US congressional seats because of the 2010 census. It then showed an example in North Carolina where Republican control led to the state being less competitive in the past for Democrats. In 2010, Democrats held 7/13 seats in North Carolina. But after the redistricting, in 2012 the Democrats held only 4/13. And all of this is done in a small, compact space. This is a very effective graphic.
Earlier this week, the Office of National Statistics in the United Kingdom released census results for England and Wales. (Northern Ireland and Scotland are reported separately.) England has more people than expected, most likely because of undercounting of immigrants, and Wales is now some three million and counting. There are fewer Christians than expected—and fewer Jedi than I expected—as the ranks of the non-religious grow. But from of course all of this comes a bevy of visualisations. These are but a few, but if anybody finds others worth nothing, please feel free to send them my way.
Straight from the source is a set of interactive mapping applications from ONS that compare 2001 data to 2011 data. As best it can, census districts are compared on a one-to-one basis, but with boundary changes that isn’t always possible. Clicking on district provides one with details about the responses for that area.
Perhaps the one thing missing from these—and it may well owe to the aforementioned boundary changes—is a map of changes to see which areas have been most impacted. Or a map of the results compared to the average to see where the average can be found and where the positive and negative extremes can be found.
An infographic from the Guardian looks at the overall dataset with quite a few maps and then circle-y things. While the large map is the white population in 2011, the remaining maps are before and after comparisons. Again, an interesting look would have been perhaps deviations from the average or of the actual change per district.
I appreciate the impact of the main story, the increasing diversity of England and, to a lesser extent, Wales. London in particular is now minority white. However, I am less keen on the circle-y things and that data could probably have been presented in a clearer, more direct fashion. I am not a fan of red, yellow, and green traffic light colours, but I also recognise that the Guardian is working within their brand on this.
Unfortunately this interactive map of Northern Ireland’s national identity does not quite work for me. I appreciate the toggle between the different response options, however, I find the responses themselves hard to compare. The colours remain the same, but the scales for the results change. For those identifying as Northern Irish, the top value is clearly less than those identifying as either British or Irish. But I would have liked to have seen the scales for British and Irish to closer match. I also find the black background distracting and overwhelming the colours. I wonder how the result would have worked if treated with the above aesthetic.
The BBC took a stab too with a section devoted to the results. Unlike the ONS visualisation above, however, the side-by-side comparison is forced to be smaller with the included text. And when one zooms into a particular district, the map degrades into crude polygons—a particular pet peeve of mine—that would be unrecognisable to someone familiar with the intimate geographic details of their home region. (Yes, simple shapes make the files smaller for overview maps, but when seen up-close, they lose their value by making ugly maps.) Also, the colours and bins in this particular view are not as informative as in the view above.
The BBC, however, did create a small graphic for an article that showed population changes in the districts, alas the colours did not work as well as one would hope.
That’s a lot for people to digest, but, overall I think the clearest visualisations go to the ONS. They lack the commentary that can be brought by journalism organisations, e.g. the BBC, but one needs a clear and powerful visualisation before one can start writing an analysis.
Credit for the ONS results goes to the ONS Data Visualisation Centre, for the Guardian infographic credit goes to Paul Scruton and Mark McCormick, for the Northern Ireland piece credit goes to John Burn-Murdoch, and credit for the BBC goes to the BBC.
Hurricane Sandy hit the Jersey shore before moving northwest through southeastern Pennsylvania. These were two maps from two different electric utility companies providing information on the number of outages. This first and smaller graphic is from PECO. The second and larger is from FirstEnergy. The graphic from FirstEnergy breaks into the township level when zoomed in sufficiently. Clearly from being able to post this, I am among the fortunate with my electricity still up and running.
Clearly these are not all outages, only the outages reported by these two electrical utilities. At the time of writing some 1.3 million people were without electricity in Pennsylvania and over 7 million in the Northeast while Sandy—now an extra-tropical low pressure system—continues to dump rain and snow on the interior reaches of the area.
This graphic comes from a set by the New York Times that looks at absentee and mail-in ballots, which are particularly popular in western states. The representation of the absentee ballot from Minnesota in 2008 is then examined to see which areas were the reasons for discounted ballots.
Follow the directions to the best of your abilities, people. Make your vote count.
So perhaps the title is a bit of a non-sequitor, but the Washington Post released a table of the Top-100 counties by average income. As a Washington paper their focus was on that city’s suburbs, three counties of which are Numbers 1, 2, and 3. But I wanted to get a sense of where other counties were, including that of my hometown.
Over the last week a video clip on YouTube that mocked the Muslim prophet Mohammad sparked unrest across the Muslim world, from Morocco to Bangladesh and from Turkey to Kenya. While most of the protests were peaceful, a few were not. In Libya, the US consulate in Benghazi was attacked—in circumstances still not entirely clear—and four Americans were killed, including the US ambassador, Christopher Stevens. In Khartoum, Sudan, the embassies of the US, the United Kingdom, and Germany were all attacked. While in Afghanistan, the Taliban successfully attacked the UK’s heavily fortified base of Camp Bastion, nearest to Kandahar, killing two US Marines and destroying six Harrier jets.
Combing through several news sites, including the BBC, AP, and Reuters among others, I mapped where protests occurred and sought to show how much of that country’s population identifies as Muslim. Most nations were, not surprisingly, heavily Muslim. But several countries with rather small Muslim populations such as Kenya, Sri Lanka, and India also hosted protests, some violent. Not included, because of the difficulty in changing the map, is Australia. Sydney experienced protests nearing rioting as protestors marched.
We trade a lot with China. Everyone knows that. But people might not realise that both Canada and Mexico are also among our largest trading partners. (I suppose it helps that they are both right next door.) Mexico is the second-largest importer of US goods after Canada. (China is third.) The Washington Post looked at which states are exporting the most to Mexico and what their largest exports happen to be.
Credit for the piece goes to Wilson Andrews, Emily Chow, and Bill Webster.
The Slovakian government has published the results from its 2011 census. The census looked at many things, including nationality and language. This should allow the government in Bratislava to better fund and support the ethnic minorities in Slovakia.
Of course, some of my ancestors were one of the small ethnic minorities in Slovakia. Ergo, I have a personal interest in the data. The result is a quick infographic about the Carpatho-Rusyns of Slovakia. Click on the cropping below to learn more, meaning, see a bigger and fuller version.
Credit for the work goes to me. For the data, the statistics office of Slovakia.
Oil, sweet oil. How we depend upon you for modern civilisation. BP published a report on world energy that Craig Bloodworth visualised using Tableau.
The piece has three tabs; one is for production, another consumption, and a third for reserves. (The screenshot above is for production.) But when I look at each view I wonder whether all the data views are truly necessary?
In production for example, is a map of a few countries truly informative? The usual problem of Russia, Canada, the US, and China dominating the map simply because they are geographically large countries reappears. Furthermore the map projection does not particularly help the issue because it expands the area of Siberia and the Canadian arctic at the expense of regions near the Equator, i.e. the Middle East. That strikes me as counter-intuitive since some of the largest oil producers are actually located within the Middle East.
A map could very well be useful if it showed more precisely where oil is produced. Where in the vastness of Russia is oil being sucked out of the ground? Where in Saudia Arabia? In the US? Leave the numbers to the charts. They are far more useful in comparing those countries like Kuwait that are major producers but tiny geographies.
Lastly about the maps (and the charts), the colour is a bit confusing because nowhere that I have found in my quick exploration of the application does the piece specify what the colours mean. That would be quite useful.
Finally, about the data, the total amount of oil produced, but more importantly consumed, is useful and valuable data. But seeing that China is the second largest consumer after the US is a bit misleading. Per capita consumption would add nuance to the consumption view, because China is over three-times as large as the US in population. Consequently, the average Chinese is not a major consumer. The problem is more that there are so many more Chinese consumers than consumers in any other nation—except India.
A bit of a hit and miss piece. I think the organisation and the idea is there: compare and contrast producers and consumers of oil (and consumers of other energy forms). Alas the execution does not quite match the idea.
Credit for the piece goes to Craig Bloodworth, via the Guardian.