The United States was founded on the East Coast as English (and the odd Scottish) colonies with the old cities of Philadelphia, Boston, and New York. These first colonies became the original 13 states. Ever since the 18th century, we have expanded westward into the Ohio Territory, the Northwest Territory, French colonies, Spanish colonies turned Mexico, and then again the British in the Pacific Northwest. (Overly simplified history of the United States’ growth, but it shall do.)
Every ten years, the United States is constitutionally obligated to hold a census. You cannot elect representatives to make political decisions for you if you do not know how many of you there are and where you live. But what these decennial censuses show are how the demographics of the United States have changed, with the population shifting from the East Coast, once almost 100% of the population, to the lands south and west. It’s only natural when you consider how unpopulated that part of the continent is.
But, because we rely on these censuses to redraw political districts and boundaries, every ten years politicians make much ado about…well, something. This article by the New York Times looks at how these changes are set to affect the Midwest in particular and this graphic, while simple, charts the congressional power of the Midwest through the total number of seats held in Congress over the years.
This piece comes from my coworker, Ben, who found the graphic in Scientific American. Broadly speaking the piece is looking at the obese and the overweight in the United States, comparing the numbers of both children and adults in 1980 to 2008. These numbers are supplemented by the risk of death posed to both men and women from a few different causes. (I know at least diabetes is linked to weight, but as to whether the others are linked I am unaware.)
I have a few quibbles with the piece; for in general I think educating the public about the health risks of obesity a worthy endeavour. From a more scientific-ish point of view, as I recall, BMI (body mass index) is not a particularly useful tool in determining obesity because it fails to differentiate people who are heavy with fat from those who are heavy with muscles. A strong and regular weight-lifter is not necessarily overweight, but simply has a lot of muscles. Does that make the weight-lifter less healthy than those with lots of body fat? Methinks not.
From the data side, I am curious to know why only the two years? It may very well be that they are the only two years for which relevant data exists. But I doubt that. 1980 compared to 2008 is interesting, but perhaps already well-known. What would perhaps be more interesting is whether over the past few years, the increasing attention paid to weight and other health issues has begun to affect the growth of the obesity problem—poor pun very much intended.
The accompanying text makes a point about the number of adult Americans being obese. Certainly the dots as a percentage of the population achieve that goal of showing percents—though I hasten to add that their arrangement around the body in the centre does very little to aid in comparing the adults of 1980 to 2000 let alone the children. And as to the children, the article points out that they are growing fastest. At this, however, I can only take the authors at their word for the graphic does nothing to visualise this statement. Perhaps they outgrew the adults—but then the adults were themselves at one point children, but that is another matter—but their growth could now be slowing as a recent turn of events. But since we only have two years, we cannot know for certain.
The risk of death by [type of death] is interesting. But running bar charts as more of a radial chart could become a bit confusing. Is there any reason the bars grow in width as they extend further out? Or was that part of an all-too-obvious play on the problem. After all, the growth in area could be significant; a simple line of constant stroke to a point along the radial distance markers would have sufficed. And then I would be particularly curious to know whether any of these types of death are related to obesity. Neither the article nor the graphic provide any clues besides whatever knowledge the viewer brings to the table. (Okay, I think I am done with the puns.) And if one happens across the article with almost no knowledge of what diseases or medical conditions are caused by obesity, how does the graphic tie into the cost of healthcare costs brought upon the country by obesity.
Overall, I think the graphic is well-intentioned. The public is becoming more accustomed to seeing data visualised. However, we need to make certain that we are communicating clearly by making datapoints easier to compare. (Looking at things across half of a circle is a bit tricky.) And then we need to make certain that the data we are visualising supports our statements. (Are children really the fastest growing? Over what span of time?) And then take the time to explain to the audience those things that may not be common knowledge. Does that mean dumb a piece down to the lowest common denominator of someone who has absolutely no knowledge? No. Design needs to elevate and educate its audience. Perhaps some of the finer details remain unexplained because of sheer complexity, but when amidst a host of details well-understood, that confounding bit may push an unsure viewer to do some additional research and educate him- or herself about the subject matter. And that, surely, is not a bad thing.
It’s Monday. The day of the week we hate the most when we realise that we really do have to wake up. Myself, I on occasion throw in some choice words as I swat my alarm clock. This graphic, from xkcd, is apropos as—well, you get the idea.
But anyways, according to the National Bureau of Economic Research—the people who declare when recessions and such begin and end—the recession that began in December 2007 ended in June 2009. Good news of a sort. And so naturally the press covered it, including the Wall Street Journal.
They included this image:
One, the drop shadows are unnecessary and the giant diamonds hide the actual turning point. The former could be eliminated and therefore allow the line to have greater, crisper detail as the colour should be enough to differentiate the lines. The drop shadow just sort of blurs everything together. The diamond could either be smaller or simply denoted on the timeline and thus allow the entirety of the line to be shown.
What I do appreciate, however, is that the first two charts show the same timeline and therefore allow for an easy comparison of the GDP turnaround to the jobs turnaround. And as one can see, while the recession has ended, if this most recent one is to follow in the paths of its predecessors, jobs will be a long time in returning to pre-recessionary levels.
The big voting day in November is slowly—or rapidly—approaching. But before we get to the main fight, we have all the small-ring events to tease us. And to whet our appetite for magic walls and holographic projections and all the other technological wizardry that shall amaze and astound us all, we have nice graphics about the primaries.
This comes from the New York Times, in particular covering the Delaware primary where Mike Castle, long-time moderate Republican, has lost his party’s primary to a Tea Party candidate. (One wonders what would happen if the Tea Party candidates ran as an actual third party instead of co-opting the Republican party.) In general, the Times has there coverage pretty nailed down.
It is worth checking out their site for the mid-terms coming up if not for the news but then for the maps and charts they use to visualise all the data. (And with modern-day polling, how could we ever not have enough data to visualise?) After all, I will probably comment upon their work a few more times before Election Day.
This comes from an older article in the Philadelphia Inquirer, but it is new to me. Anyway, it looks at a proposal for high-speed rail in the United States, specifically along the Northeast Corridor, the Washington to Boston route that includes Baltimore, Wilmington, Philadelphia, and New York. Anyway, go figure that we still have trains that run at a snail’s pace, even Acela has a low average-speed.
A proposal from a group out of Penn makes for an interesting debate, specifically in Philly a real high-speed route would require boring underneath most of Philadelphia to bypass 30th Street. Perhaps revitalising Market East—depending on how exactly the route would interact with the commuter tunnel currently in place.
The graphics are simple, basically an annotated map. But the variations in stroke weight and colour help bring contrast to the routes when looking at the entire proposal whereas the proposed route in Philadelphia has little overlap and could have made due with a single stroke. Another interesting piece is beneath in the comparison between travel times from Washington to Philadelphia, from Philly to New York, and New York to Boston. Without looking at cost—thought the article’s second page or graphics does that—we can clearly see that a dedicated high-speed rail system would make it even easier to travel between cities for short holidays or even day trips. Let alone business trips.
These are photographs from a small series published by CNET that focuses on a power grid control room. As one can imagine, managing the flow of electrical energy across somewhere the size of New England could be a bit…complicated. And so one can see from some kind of network map (perhaps?) on the main display. At the very least I can make no sense of it.
On the other hand, I only wonder what would happen if Homer were sitting behind a bank of those monitors?
The BBC has an article about the massiveness of Facebook—at least in the United States. They have taken the data and spent time to do a little bit of visualisation. It is worth a look; the design is not perfect but acceptable in a broad sense.
The Washington Post has released an in-depth article, or series of articles, about the intelligence community of the United States and its growth since 11 September 2001. There are several visualisations of data and relationships between government agencies and companies along with a video introduction and, well, a traditional written article or two.
Overall, the piece is quite interesting to look through—although I have not yet had the time to do just that. Some of the visualisations appear a bit thin. But, that may be just because I have not yet had time to play with them enough to draw out any particular insights.
What is nice, however, is again having visualisations supporting editorial content in such a fashion.
Today the New York Times published an in-depth examination of NYPD stops of individuals ‘based on a reasonable suspicion of a crime’. The item includes a lengthy article; a printed, full-page information graphic; and an online, interactive piece from which the printed piece appears to be derived. The print piece is credited to Ford Fessenden and Janet Roberts, the online piece to the same along with Matthew Bloch.
Each version of the information graphic centres upon a street map of the five boroughs. Data for the number of stops is graphed at the appropriate addresses, thus making a geographically-correct map appropriate for the type of data. What is interesting is that a decision was made to represent the number of stops by means of the area of circles presumably centred upon the address or the street—each police stop is encoded into the circle by an incremental edit to the circle’s radius. This is despite the fact that area is less than an ideal means of discerning comparisons between discrete datapoints. I am left to wonder if other means of representing the data could have been perhaps more effective. Perhaps if individual streets were coloured according to a carefully crafted distribution one could see a better examination of individual streets. For while absolute fidelity would be lost in grouping datapoints into bins, individual streets and intersections would become far more visible and, perhaps, accessible. Perhaps there are even other ways of representing the data that are not so readily apparent to me.
And while on the topic of street-specific data, an interesting point about these pieces is that the online piece displays the circles atop a desaturated Google map of the region whereas the print piece is atop a stripped-down outline of the five boroughs. Some of this may well be due to the difference between the screen and print resolutions. However, I find that the Google map is distracting for displaying too much in a nearly garish fashion. To the designers’ credit, they reduced much of those distracting elements by eliminating colour from the equation. However, and perhaps this is an issue of personal aesthetics, the map is still competing too much with the circles. Despite the reduction in quality on the newsprint, I prefer the print version of the map.
That all, of course, assumes that one is looking at the full picture of the city. The online version allows one to zoom into particular neighbourhoods and intersections. To some degree this alleviates the clutter of Google’s maps but for the loss of realising the larger message. From my perspective, the printed piece provides a more interesting view of the whole story, for the large map is clearer through the reduction of extraneous map data but the interesting neighbourhood stories are highlighted on the large map with the most interesting given a detailed review. And it is in this review that the specific features of street names, buildings, &c. are made available to the audience. Indeed, the detailed look at Brownsville, Brooklyn is not available in the same level of clear, concise depth as it is in the online version.
Another advantage of the print format is the ability to present the map in a larger context and integrate stories and supplemental charts in the white space carved out by the natural geography of the boroughs. Combined, these elements occupy all the space above the fold whereas in the browser windows I used at both work and at home, only the map and one story for the selected neighbourhood is immediately visible. Thus the print’s integration, albeit made at the expense of the online’s interactive map, makes for a more inviting initial experience.
The remainder of the print and online versions are largely the same with the exception of the detail about Brownsville—which, as aforenoted, is available as a subset of of the online map and is provided outright in the print version. The space of the print version allows for the charting elements to be laid out amongst two columns whereas the online version is a single, vertical column down the webpage. Between the two versions, the largest difference is colour. I would suspect this is due to the differences in fidelity between printing the charts and viewing the charts online. I think both colours work in their respective medium.
Of the remaining graphics, the most interesting is that which displays the breakdown of stops by age in comparison to the city’s population as broken down by age. The first interesting point is the omission of a vertical scale; I can only assume that the scales are identical in both positive and negative directions. I did, however, readily understand the chart. Some may not ‘get it’ as quickly as one is asked to add the city population as it heads in a typically ‘negative’ direction. However, that the entire piece is designed to invite one to explore the statistics in detail, I think creating charts that may require some to think just a few seconds more are perfectly acceptable.
When the information graphic is combined with the whole of the article, the New York Times has again pulled off an impressive feat of editorial design that combines adeptness at the use of the English language with video and photography—from the associated multimedia from the article—along with the here-critiqued information design. Such level of depth provides a well-rounded examination of the issue or subject at hand and better informs the audience by way of both anecdote and fact while photography brings the audience visually into the story.