I am a graphic designer who focuses on information design. Most recently I worked for the Economic Research Department of the Federal Reserve Bank of Philadelphia and prior to that I was Head of Design at Euromonitor International with my design team split between Chicago and London.
Tweeting in 140 characters would seem to give one little information, aside from interesting ways of shortening and truncating the English language. However, if you dig just a little deeper than the blurb of text, one can find a whole lot more information that companies—surprise—find valuable.
This graphic, originally by Raffi Krikorian at Twitter, is via the Economist as part of the Daily Chart blog. Certainly the topic is interesting and the diagram useful, but it could probably a bit more structure and clarity in terms of arranging the information. But, if one takes the time to read through it, the breakdown of a single Tweet is quite fascinating.
The New York Times has posted an interesting interactive visualisation detailing the sentiment expressed by participants—defaulting to the most recent 100—answering several questions on the state of the economy. As a survey, this is—and it is framed as such—an unscientific sampling of trending opinions of only those who feel inclined to comment and are registered members of the New York Times.
What makes this more interesting is the ability to demographically filter the responses to find, for example, that the unemployed feel worse about their job status than the employed…perhaps that is not the best of examples, but, hey, it works.
One can also find the specific response tied to a marker on the field/band/spectrum of responses by mousing over and then clicking on the symbol. A little and unfortunate quirk here is that clicking on the person forces one down the page to the specific comment, but then leaves one with no easy way of returning to the broader picture short of scrolling all the way back to the top.
Foreign aid is the ‘soft’ power of a country vis-a-vis the ‘hard’ power of military force. Think blankets with ‘from the USA’ during earthquake relief in Kashmir instead of Abrams tanks in Kandahar. Some also goes to building infrastructure and increasing the standard of living for those in emerging countries. If you boost the income, you boost the buying power and thus boost the total possible market size.
Scaled image of US foreign aid spending
This chart, which supports this article, from the New York Times is simple but effective. Not only does it show the decreasing amount spent in terms of absolute dollars, but also as part of the overall budget. After all, one can, in theory receive a smaller (by angle) slice of pie, but if the size of the pie increases, you net more pie. And who doesn’t want more pie?
Although this is the Republican-led House of Representatives, so the pie is being made much smaller. So…
Interestingly, in Britain, where the right/centre-right Conservatives are in power (with the liberal Liberal Democrats), the government of David Cameron is also cutting spending. But there, areas like defence spending are falling under the axe. One of only two, if I recall correctly, areas not being cut is foreign aid spending. (The other is healthcare.) Furthermore, if I recall, Britain, despite its austerity drive, is actually increasing spending on foreign aid. Maybe the Brits just will have new markets for all that British engineering…
The Euro…yeah, that pesky bugger and all of the complications it is causing for the European Union at the moment. In July, the BBC released this animation explaining the Greek debt crisis. It’s worth a check, though some of the graphics could use improvement…like the one using scaled buildings in a bar chart.
10 year interest rates compared, from the animation
Critically for US readers, who have to put up with all this talk about how we cannot run a deficit, pay close attention to the bit about lenders. Deficits are not expensive until interest rates go up. And they only go up when lenders fear the inability of a government to repay its loans.
Antarctica is a continent way down at the southern end of the world. It is covered almost entirely by glaciers. But glaciers move, and NASA and the University of California unveiled a map looking at the speed of the glaciers’ movements. Along with it, an interesting little video showing the tributaries to the glacial flow.
So, those of you a little bit older than me—not to date myself—probably remember the evil Reds of Soviet Russia. Some my age do as well. Younger than me, it’s probably all ancient history. And so for those of you who forget, the Union of Soviet Socialist Republics was, if I am to simplify, a Russian empire that featured a centralised, command and control economy and a dictatorial government. In 1991, the empire fell apart for a number of reasons and became 15 independent countries, Russia still being the largest. And a lot has happened in the twenty years between 1991 and 2011.
Twenty years being a long time, the BBC has remembered the event by creating a relatively simple piece that compares the fates of the various countries in the aftermath of the Soviet Union’s breakup. One takes one drop-down list and selects a country and then another country from the other list. And in the centre one can control whether the comparison is of wealth (GDP), health (life expectancy), or leadership (no. of times the presidency has changed hands).
Comparing Russia to the Ukraine
I have an issue with some of the metrics and whether they are the best suited to describe the wealth, health, and democracy of the former Soviet republics. But, I think the strength really is not so much the charts but the brief summaries for each country that try to capture the story of the past two decades.
Living in Chicago, hurricane season means rather little. Perhaps at worst the city would see a major rain system moving up from Texas or the Gulf Coast. But, from all my time living on the East Coast makes hurricane season a bit more meaningful if now just as an outside observer. The Weather Channel has launched a site called the Hurricane Tracker that allows you to follow the current season’s storms.
Active Tracker
While there has yet to be any major activity, there have been a few named tropical systems that are present in what is called the Active Tracker. The storms are tracked geographically, showing you the precise locations where the storm was recorded and then filling out the path between points. The data includes information on strength—hurricanes are classed on a 1–5 scale with 5 being really most unpleasant—such as windspeed and pressure—hurricanes are enormous low pressure systems. The panel on the left of the screen provides a detailed history of the storm and links the recorded data points to the corresponding geographic points on the map. Currently, the storms have all been relatively minor and short-lived; watching a major storm of some duration through the charts and the map progression could be quite fascinating.
Historical Tracker
But there is also the Historical Tracker that catalogues an impressive number of previous storms. The view first loads with an overwhelming number of storm tracks, but filters for controlling the years—which includes a interactive mini-graphic of the total number of storms for each year that when clicked filters for only that year—and for location of landfall begin to significantly bring your search or exploration into focus. I have yet to find any detailed information about specific storms, the one in this screenshot being those that made landfall in the Northeast roughly during my lifespan. (I have memories of being at the shore during Hurricane Bob with the winds and rain and warning sirens making an impression.) You cannot click to focus on a particular storm, instead, a mouseover is the only way of discovering the name of a particular track. But, that may simply be an unavailable level of data, especially with the storms from the 19th and early 20th centuries.
Now I just hope we can use this sort of information to help develop better forecasting and modelling to help save lives and property.
A small graphic from the New York Times, this supports an article about the rarity of a credit rating of AAA in S&P 500 companies.
Distribution of Credit Ratings, per Standard and Poor's ratings.
I don’t quite know about the colour, nor do I know about the efficiency of using squares to represent the units that could be used in a bar chart, but I suspect they go towards making a graphic interesting and visually compelling. Fortunately, neither actually distorts the data.
As most of us know, the final space shuttle mission lifted off on Friday. Appropriately, the New York Times created an infographic for the news stories accompanying the mission that details the history of the entire shuttle program’s flights. If you are a space-y kind of guy like me, it’s worth a look.
