I am a graphic designer who focuses on information design. My day job? I am the data visualisation manager for the Federal Reserve Bank of Philadelphia. (This blog is my something I do on my own time and does not represent the views of the Fed, blah blah blah legal stuff.) And with my main interest in information design—be it in the shape of clear charts, maps, diagrams, or wayfinding systems—I am fortunate that my day job focuses on data visualisation. Outside of work, I try to stay busy with personal design work. Away from the world of design, I enjoy cooking and reading and am interested in various subjects from history and geography to politics to science to the arts. And I allow all of them to influence my work.
Another image from my 1930s algebra book is on pie charts, or what was then called circle charts. And while the utility of such a chart form has not changed, especially in these examples, the circle chart of the 1930s had one particular good use for students. Constructing it.
Today a student plugs in numbers into a spreadsheet in Google Docs, Excel, or Open Office. He or she presses a button and the circle chart is done. Back in the 1930s, students needed to convert absolutes to percentages and then use protractors to draw the slices on pieces of paper. Fancy that, students having to do math to make a chart.
Often we think of graphs, charts, and other forms of data visualisation as a means to exploring the economic growth of so and so, or visualising traffic patterns, of explaining the complexities of science, or the reporting of yesterday’s news. But, we can all use data visualisation in our own lives to help make better decisions.
While I normally opt not to post links to other data visualisation blogs—I figure most people are also already checking those out—Nathan Yau posted about why he wants to cut the cable, i.e. lose his cable television subscription. He has two separate charts that are simple but effective in driving home the point that he really ought to think about cutting cable out.
The article, while a bit longer than usual, is well worth the read. The charts with the explanation make for a compelling argument.
Using only Colorado as an example, here is the map of county results by the Guardian.
Note how the map is presented in 3-D that therefore allows the use of height as another encoded variable, in this case the size of the lead. Now compare that to the map used by the New York Times.
Note how this map is flat. So much less cool, right? But try to compare the results in Denver County. When I look at the Times’ map, I see blue; Mitt Romney won. When I look at the Guardian’s map, I see…actually, I can’t. That label is in the way. And then even when I begin to interact with the map, Denver County is hidden by the height of Arapahoe County.
But what about the size of the lead? I cannot see that encoded in the New York Times map. No, one cannot. However, they added a toggle function to change the data displayed on the map—though the utility of that view can be left for another discussion.
And now to a minor point about comparing the totals.
Again, a look at the Guardian’s presentation.
And now the New York Times. Numbers are numbers and faces are faces. But look at the graphic element representing the percentage. With the Guardian, I can just barely discern that the size of the circles for Santorum and Romney are not the same. And the same goes for Gingrich and Paul. But when I look at the Times’ presentation, I see a simple bar chart that more clearly shows the relationships between the results.
So interesting design decisions lead to one view that I find far more successful in showing the data: the New York Times.
Bridges are vital parts of infrastructure networks connecting two separate pieces of territory, but often they can be choke points. Damage to a bridge can result to isolation at worst and at best long, circuitous reroutes that add significant time to travel. In the San Francisco area authorities are building a new bridge to replace the current Bay Bridge. But as everyone knows, buildings and infrastructure in that area can be significantly damaged during earthquakes. And the area is waiting for the ‘Big One’ that shall come some day or another.
So how to build a new bridge for the long-term that will also survive a major earthquake? The New York Times explains it in an interactive piece accompanying an article. The interactive piece includes an animation with voiceover explaining the details of the design, with diagrams illustrating the components placed next to the video player. At the bottom, anchoring the piece (pun intended), is a photo-illustration of the new bridge’s design.
Credit for the piece goes to Mika Gröndahl and Xaquín G.V.
So apparently there was a game last night? I didn’t get the chance to watch it, I was busy updating this blog here. The changes ought to make it easier to be more social, since that’s the thing these days.
But, so about that game, apparently New Jersey won. Congratulations to the New Jersey Giants of East Rutherford, New Jersey. You have prevailed. The newspaper in the nearby city of New York had a graphic to explain the progress of the game, this being a cropping of the ending. Which is probably all anybody really needed to see anyway, right?
Among my legions of books are a few from my grandfather’s days when he was a student. After going through some photos yesterday, I realised that I had taken photos of his elementary school algebra text book. Among the first chapters was an entire section on graphing and chart types. I hope to go through these in more detail in some later posts, but here’s one for the stereotypes.
Houses are meant to be lived in. Which is good to know if you’re a real estate investor because the housing market in the US is still not so good. According to an article in the New York Times, we’re back to 2003 levels (on average of course) for single-family homes.
Accompanying the article is an interactive chart that lets users view the full breadth of the survey while highlighting specific markets of interest and showing actual values along the length of the chart.
Credit for the piece goes to Kevin Quealy and Jeremy White.
I like maps. Ever since I was kid. This post is less of an interesting graphic, chart, or what have you, but instead to point you to an interesting opinion piece in the New York Times. Frank Jacobs of Strange Maps wrote the piece, which is about cities split apart by political boundaries.
The Republican primaries…they’re still going on…on the long inevitable road to Romney’s coronation. Next up is Florida, always an interesting state to watch. There are a lot of people there with a whole host of interesting demographic slices. Perhaps one of the most interesting ones, at least to the media, is the Hispanic vote. Other things to look at in Florida include the burst housing bubble and rather high unemployment.
The New York Times published a graphic with a few maps and charts trying to paint the landscape of the Florida primary battle. These two selections below show which Republican primary candidates won which counties in 2008 as well as the size of the Hispanic population registered Republican.