Cholera. It’s more than just a disease on the Oregon Trail. It exists in the 21st century, though typically we do not experience it in the industrialised Western world. Where one does see it crop up are in places with poor sanitation, which is usually in the developing world. But, if one were to take a developing country and then in a few seconds wreck the national infrastructure in a devastating earthquake, one could see the creation of the right conditions for an outbreak.
Sadly, that is exactly what happened—and to a lesser degree is still happening—in Haiti. The New York Times wrote about the problem in an article in the Sunday edition. The article was accompanied by an infographic that mapped the spread of the outbreak geographically and then its intensity over time.
Credit for the piece goes to Joe Burgess and Lisa Waananen.
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.