This piece in the Globe and Mail of Toronto looks at smartphone usage by operating system through a comparison of Canada to both the United States and Japan.
While I understand the need for aesthetic distinction from having an entire page of bar charts, these ring or donut charts are a touch misleading. Because of the space between rings, the radius of each circle from the central Android icon is significantly increased. This of course proportionally scales up the length of each segment within the rings. In short, it becomes difficult to compare segments of each ring to the corresponding segments on the other rings without looking at the datapoint. And if you need to look at the datapoint, one could argue that the infographic has failed from the standpoint of communication of the data.
Beneath is the original (with the legend edited to fit into my cropping) with two very simple (and hasty) reproductions of the data as straight pie charts placed next to each other and then as clusters of bar charts grouped beneath each other. I leave it to you the audience to decide which is easiest to decode.
Credit for the Globe and Mail piece goes to Carrie Cockburn.
Sunday in the New York Times, an article on bicycle delivery had an accompanying infographic. It detailed the dinner route of the article’s main individual. The piece is an interesting use of small multiples to provide a timeline of a route, while each new delivery maintains the old paths for reference. And from a data perspective, I found it good to acknowledge the one instant where the follower lost contact with the delivery man.
So apparently last night actors, directors, and others associated with the production of films won little statues. (And then probably celebrated with fancy foods and wines.) Yes, last night was the Academy Awards. But who is this Academy that decides upon the best films and performances?
As it turns out, the demographics of the Academy do not quite mirror those of the broader country. Just over a week ago, the Los Angeles Times looked at the Academy and visualised its membership, discovering the details of which was itself a journalistic feat.
After a broad overview with pie charts and such, each branch was mapped as a choropleth to the Los Angeles area. Those members from outside the LA metropolitan area were given small squares to represent their cities.
As someone not at all familiar with Los Angeles and its neighbourhoods, perhaps where the members of the various branches of the Academy live is actually somewhat interesting. However, I fail to understand the value in that. More useful is the idea of breaking out a socio-economic demographic and mapping that data. And if that had been the case here we almost have a set of small multiples. These are just a bit big.
Overall, a solid body of work.
Credit for the visualisation piece goes to Doug Smith, Robert Burns, Khang Nguyen, and Anthony Pesce.
American companies have long been moving their manufacturing overseas. Apple is no exception. However, Apple does audit its suppliers to ensure they are in compliance with the company’s code of conduct. The New York Times reported on this and included a graphic along with its article.
We have small multiples of line charts with small blurbs of text to highlight key stories. Clean, clear, and communicative. I contrast this with the number of charts one might see in business presentations, which presumably would have similar content in terms of audits and performance for a company, where these lines would normally be smashed together into one chart. At that point lines become indistinguishable from each other and the individual stories are missed among a muddle of a main story. Furthermore, in my experience, a business presentation would make full use of the width of the medium, in this case some 900 pixels or so. And for this story in particular that would mean, at most, by my count, 900 pixels for 5 plotted points in a timeline.
The Iowa caucuses are quickly approaching. And that means for many candidates a scramble to gain as many supporters as possible and then convert their poll ratings into votes. For the Republicans, this has been a truly topsy-turvy cycle with the distant refrain of “anyone but Mitt” echoing in the background.
So, here we are looking at the return of Newt Gingrich. Over the weekend, the New York Times published a graphic comprised of small multiples of poll numbers for the various candidates. Each chart plots the individual polls and then the moving average.
What one can clearly see is a moving wave of discontent. It begins small with Michelle Bachmann before rising with the arrival of Rick Perry. He floundered, however, and was soon overtaken by Herman Cain. And as his support ebbed, it buoyed Gingrich to the top or near-top, depending on the poll, of the Republican candidates.
All in all, a good series of charts that tells a convincing story rather quickly and succinctly.
Technology changes and changes rapidly. The United States led the way with cabled phone networks. Now, countries in Africa are skipping landlines and moving straight to mobile phones. The New York Times has an piece on the changes in technology and accompanies that piece with small multiples of choropleth maps that showcase different technologies and their prevalence.
What is interesting about these maps is that the Times eschewed the conventional Mercator or Robinson map projections and went with a slightly more unusual layout. But, a layout that saves some space by its contortion of the world’s oceans. Was their reason spatial or something more about maintaining consistent area? I would be curious to see the piece in print to see if it needed to fit a narrow column.
In an area very close to me…quite literally…the New York Times published an article about increasing segregation between the rich and the poor via the areas where they live. The study by Stanford University found that the Philadelphia metropolitan area saw the “sharpest rise” in segregation since the 1970s—the study used census data available through 2007. The accompanying graphic highlights the growth of the segregation from 1970, using small multiples of choropleths to compare 1970 to 1990 to 2007.
In 1970, much of the metro area was middle-income neighbourhoods. Certainly, the central core of Philadelphia was depressed. So too was Chester and rural southwestern Chester County. The upper-income neighbourhoods were in the close suburbs, note the townships stretching due west of the city and you see the Main Line, one of the most affluent areas of the United States, while other veins of wealth extend along other old rail lines leaving the city.
Those such as myself who are familiar with both the area and recent history should note that places like Coatesville and Downingtown are shown as middle-income. In the 1970s, areas like this and in similar places like Falls Township in Bucks County had robust steel and manufacturing sectors that employed a substantial portion of the local population.
But, compare this to 2007 and you will begin to see how many old factory towns of middle-income areas became dense pockets of depression while the city of Philadelphia itself saw a flight of wealth to the rest of the suburbs. The rural parts of Chester, Montgomery, and Bucks have seen high growth by means of new developments of upper-middle- and upper-income homes.
There is a scene in the re-imagined Battlestar Galactica where with the human population almost extinct, one character comments on the romances of two others by saying “they better start having babies”.
The demographics of the United States are changing. Not that they were not changing prior to recent years; Native American populations were reduced by English and Scottish settlers; the English and Scottish populations were diluted by Germans; then came the Irish and the Italians; then the Slavs; then Chinese—simplistic, but you get the idea.
Now, in the Midwest, as the New York Times reports in both an article and its supporting graphic, the long-established relative decline of the United States’ white population is being checked by a surge in Hispanic growth, especially in the rural plains states.
I am never so much a fan of the circles as sizes of population—a choropleth would have worked equally well—but it does suffice for this graphic. My larger concern is that the graphic measures growth but does not state growth between what years. Presumably, though the data is sourced from Queens College Department of Sociology, it originates in census figures. That would most likely mean growth between 2000 and 2010.
It’s Election Day. Well, not really. But, Nate Silver and the New York Times have come together to release an election simulator, if you will, focused on the chances that a Republican will win the White House.
You play with a few different variables to control the outcome: GDP growth and President Obama’s approval rating. These then are computed along with a few other things (I assume) and, like magic, you get to see your Republican pick’s changes of winning the election.
Keep in mind that these are just possible candidates, not necessarily likely candidates. John Huntsman, after all, is polling in the single digits in some of the early primary states. So while the moderate, centre-right, former ambassador to China, ex-governor of Utah looks almost unbeatable in several scenarios, I think most would agree that the Republican base will not vote for him.
But it is scenarios like that of Huntsman that are worth reminding us that perhaps the current party political system we have in the United States does not yield the best candidates for public office, nor the most broadly electable.
The European debt crisis affects all of us. Shares fall on the exchanges in Frankfurt, Paris and London and then ripple westward to New York before finally reaching Hong Kong and Tokyo. But does anyone understand actually understand who owes whom what?
This interactive piece is yet another from the New York Times and is an online version of a print graphic that appeared in Sunday’s paper. Online, interactivity is used to focus attention on particular elements of the story, highlighting key components of the tangled debt web that anchors the whole piece. The width of the lines relate the difference between borrowers and lenders.
Hidden in the width of the arrows, however, is the gross lending. The lending may appear to cancel itself out, but the banks and other sources of the loans may not all be lending to each other, i.e., some big players could still take a hit if the crisis worsens.
The colours reflect the level of ‘worry’ in the country—though how worry is defined is left unstated.
Different parts of the story and potential scenarios are revealed by clicking buttons on the left-hand side of the piece. Elements of the large graphic that are not needed to tell that part of the story, though remaining pieces remain in place. This is an effective means of reminding the audience where they are situated in the overall web, but I wonder if not a slight shadow or faint trace of the web in the background could have been used instead of losing all the information entirely.
Overall, the interactive piece is quite effective in telling the story. But, because this was in the Sunday paper, the lazy afternoon paper, we also have a large-scale printed infographic that the interactive piece accompanied.
This has a lot more text—dreaded words—to further explain just what is happening. In my mind this adds to the story. For example, what I noted above about the net loans between two parties obscures the gross loans of both sides. This point is explicitly made about Britain and Ireland, which have enjoyed a very strong bilateral trade arrangement for a number of years. This context is added by a little text blurb crafted into the overall design of the piece.
Different scenarios are highlighted at the bottom with a reduction of the main piece creating small multiples of the diagram instead of how the interactive piece removed unnecessary elements. I think this is an equally effective means of solving that problem.
The New York Times created two separate but very much related pieces to explain a story that affects us all. The first media, the interactive piece, takes advantage of the ability to replace on the screen what is not necessary with what is necessary. Further, it allows some data that is not so relevant at first glance to be hidden. Mouse over the various lines and countries to reveal the data behind the problem for each. Do we need this information at first? No. Our first order is to try and work out the web we weaved. Well, that the bankers weaved.
That is very different than the print edition, which cannot be changed. All the content must be available at once. But, the data is made smaller because the print resolution is finer than that of a screen. Small text that might not be legible on a screen can be printed and read just fine. The printed edition also allows more space and thus more text for context. And this is okay knowing that the Sunday paper is likely to be read while relaxing with a fine cup of tea or coffee.