This map comes from the Washington Post and it uses the American Community Survey to explore languages spoken by Americans at home other than English.
Who speaks what?
I got stuck (in a good way) on the seemingly random counties of German speakers. After I poked around a bit, I found one where almost 50% of the county speaks German. After some quick investigation, it turns out that Holmes County, Ohio is a centre for the Amish population. The Amish, of course, will often speak German or Pennsylvania Dutch, thus accounting for the abnormally high percentage of German speakers.
Credit for the piece goes to Dan Keating and Darla Cameron.
Earlier this summer I looked at a graphic by Thomson Reuters that compared life expectancy changes across the world from 1990 to 2011. Last month, the Washington Post published an interactive graphic that explores life expectancy (along with obesity and physical activity) across the United States from 1985 to 2010.
Changes in female life expectancy
What I really enjoy about the piece is that each toggle for the health condition, i.e. life expectancy, obesity, physical activity, the text beneath swaps out to explain what the story is. Context is key. But then the ability to flip between the actuals and the growth for both men and women allows the user to really explore the data. And to see that growth or lack thereof is not even across the sexes.
From the design side, a minor point worth noting is the use of different colour palettes based on the mapped metric. The actual values (with the greater range) use a darker green-blue and tint that down whereas the growth values (all of three conditions) are in a different palette. Here it works, though I am more accustomed in similar pieces to seeing the swapping of palettes for changes in the mapped metric.
Beneath the big map, however, are two components also well worth the user’s attention. Perhaps deceptively simple, two sets of line charts, they add (again) context to the data. For example, while it is great to see life expectancy in the United States improving, when you compare that to the rest of the developed world, we are falling behind.
Overall a solid piece.
Credit for the piece goes to Patterson Clark, Kennedy Elliott, and Katie Park.
At lunch, I felt inspired enough to create a quick chart that looks at some urban population statistics.
Top-10 Cities Population
A caveat about the data, it comes from the Census Bureau’s tables on the top-100 cities. So until a city appeared on that list, I did not chart it. The exceptions are 2000 and 2010, where I pulled directly from those census results. Mostly because it was lunch and I needed to be quick about it.
Hint, US Census Bureau, make your interface more friendly.
After two weeks out of the country, I come back and find early this morning (thanks, jet lag) an interactive article published by the New York Times on income mobility. What does that mean? From a medium side, a long narrative interspersed with charts and graphics with which the user can interact to uncover specific data about specific elements in the dataset. From a content side, income mobility means the movement of an individual from one group of money earned to another, e.g. a poor person becoming a millionaire. The piece is fantastic and you should take the time to go read and interact with it.
A map shows the broad context of the data to be looked at in the story
For some time now I have harped on about the need to annotate and contextualise datasets. Too often, large datasets paralyse people; their eyes glaze over and they simply gaze at a graphic without seeing the data, the story, the information. Little notes and blurbs of text can help people synthesise what they see with what they read with what they know to gain better understanding. But in this piece, by combining a lengthy article—very well written although that is not the focus of this post—with powerful interactive maps and graphics, the New York Times has created a powerful piece that states and then proves the point of the article. And while doing all of that, by making the datasets explorable, the Times also allows you to find your own stories.
A story-like piece lets you choose an area and an income to see how the article's topic plays out
Lastly, in the credits section at the end you will see this piece required the input of eight individuals (though I know not in what particular capacities). Clearly, for the Times this is not about to become a regular type of infographic/datavis/journalism piece. But when will skill sets be democratised or dispersed enough that smaller teams can create similar scale projects? That will be interesting to see. However, the Times certainly leads the States if not the world in some of the best information design pieces and undoubtedly this will push other publishers of similar content in this direction.
Ultimately people want to know who's best and who's worse and where they fall and this chart does that at the end of the piece
Credit for the piece goes to Mike Bostock, Shan Carter, Amanda Cox, Matthew Ericson, Josh Keller, Alicia Parlapiano, Kevin Quealy, and Josh Williams.
If all is going according to plan, I should be somewhere in the Carpathian Mountains at this point, specifically in the Presov region of Slovakia. So as a reminder of just what that means, here is a (recycled) piece I created this time last year about the Carpatho-Rusyns (sometimes known as Ruthenians) living in Slovakia. Click the image to go to the full infographic.
Cropping of the Rusyns of Slovakia
Credit goes to me for the piece, but to the statistics office of Slovakia for the data.
Hong Kong—and to a similar extent Macau—is part of China, but at times not so much. Because of the long history of British control through their colony, the people of Hong Kong, Hongkongers, are accustomed to a more liberal, democratic, and perhaps Western lifestyle than those of mainland China. Since the British handover, a local university has been asking the inevitable question of “Are you Hongkonger or Chinese?”. This interactive piece from the South China Morning Post looks at how that answer has evolved over nearly 20 years.
Hongkonger identity
The piece presents a broad overview on the right with the specific survey results displayed larger on the left. Broadly speaking, the piece is successful. In particular, the decision to highlight the particular survey on the right brings that into focus without losing the context of the historical results. And providing a timeline beneath the larger stacked bar chart on the left offers a second means of choosing a survey of interest.
Yet I think the piece lacks two, perhaps three, elements that would improve the piece. First, sometimes I like to see the numbers for data visualisations. Adding a hover or mouseover state would help with that. Second, while the chart on the left includes a 50% line, I wonder if that would not also be helpful in the historical display on the right. Thirdly, and perhaps not too important for those not terribly interested in the data, the overall piece states the sample size for all surveys being within a range. People wanting more data on the survey responses might be interested in seeing the sample size per survey.
Credit for the piece goes to Simon Scarr and Joe Lo.
Today’s post is a scatter plot from Thomson Reuters looking at changes in global life expectancy since 1990. What is really nice about this piece is the main space for the data visualisation presents all of the data for all of the available countries. Beneath the main visualisation, the designer chose to use small multiples of the same chart to highlight broader regional trends.
Change in global life expectancy
Credit for the piece goes to, I think, Hwei Wen Foo. (Credit on the graphic is W. Foo.)
Recently the National Post looked at the results of a Canadian census that identified significant growth in people identifying with the aboriginal populations of Canada. As an American, I am not terribly familiar with Canadian native populations, but if I recall, they are broken into the three groups examined in the infographic: First Nations, Inuit, and Metis. The First Nations are the original tribes of Canada, the Inuit are the natives from northern Canada, and the Metis are the mixed-race persons of native and early European colonisation.
Aboriginal Canada
I find interesting the National Post’s use of network diagrams (the bubbles with lines) to show how the subcomponents form the whole. This as opposed to perhaps a more common form of a tree map or bubbles within a bubble. I would be curious to see or learn about which is the most effective at showing the relationship both in terms of structure (hierarchy) and size (without the datapoints included as labels).
Credit for the piece goes to Andrew Barr, Mike Faille, and Richard Johnson.
The New York Times has recently done good work with interactive infographics that weave a narrative through their chosen form of data visualisation. I covered one such work back in February that looked at girls in science. Today, a similarly structured piece looks at university admissions and graduation rates for ethnic minorities.
Admissions Gap at Universities
Navigation in the top-right guides the user through the story with key schools highlighted. Of course at any time the user can dive into the data and find specific schools that interest them. Overall the piece is less about data exploration, however, and instead merely uses the wealth of data to paint a context for the broader narrative.
