Today is primary day and everyone will be looking to the California results. Although probably not quite me, because Eastern vs. Pacific time means even I will likely be asleep tonight. But before we get to tonight, we have a nice primer from last Friday’s New York Times. It examines the California House of Representatives races that we should be following.
Like most election-related pieces, it starts with a map. But it uses some scrolling and progressive data disclosure. The map above, after a bit of scrolling, finally reveals the districts worth following and their 2016 vote margins.
From there the article moves onto a bit of an exploration of those few districts. You should read the full article—it’s a short read—for the full context on the California votes today. But it does make some nice of bar and line charts to plot the differences in presidential race vs. congressional race margins and the slow Democratic shift.
Credit for the piece goes to Jasmine C. Lee and Karen Yourish.
We are inching ever closer to the US midterm elections in November. In less than a week the largest state, California, will go to the polls to elect their candidates for their districts. So late last week whilst your author was on holiday, the Economist released its forecast model for the results. They will update it everyday so who knows what wild swings we might see between now and the election.
I will strike out against the common knowledge that this is a wave election year and Democrats will sweep swaths through Republican districts in an enormous electoral victory. Because while Democrats will likely win more overall votes across the country, the country’s congressional districts are structurally designed to favour Republicans as a result of gerrymandering after the 2010 Census redistricting. The Economist’s modelling handles this fairly well, I think, as it prescribes only a modest majority and gives that likelihood as only at 2-in-3. (This is as of 30 May.)
But how is it designed?
The big splashy piece is an interactive map of districts.
It does a good job of connecting individual districts to the dots below the map showing the distribution of said seats into safe, solid, likely, leaning, and tossup states. However, the interactivity is limited in an odd way. The dropdown in the upper-right allows the user to select any district they want and then the district is highlighted on the map as well as the distribution plot below. Similarly, the user can select one of the dots below the map to isolate a particular district and it will display upon the map. But the map itself does not function as a navigation element.
I am unsure why that selection function does not extend to the map because clearly the dropdown and the distribution plot are both affecting the objects on the map. Redeeming the map, however, are the district lines. Instead of simply plopping dots onto a US state-level map, the states are instead subdivided into their respective congressional districts.
But if we are going so far as to display individual districts, I wonder if a cartogram would have been a better fit. Of course it is perfectly plausible that one was indeed tried, but it did not work. The cartogram would also have the disadvantage of, in this case, not exhibiting geographically fidelity and thus being unrecognisable and therefore being unhelpful to users.
Now the piece also makes good use of factettes and right-left divisions of information panels to show the quick hit numbers, i.e. how many seats each party is forecast to win in total. But the map, for our purposes, is the big centrepiece.
Overall, this is solid and you better bet that I will be referencing it again and again as we move closer to the midterms.
Credit for the piece goes to the Economist Data Team.
Surprise, surprise. This morning we just take a quick little peak at some of the data visualisation from the Pennsylvania primary races yesterday. Nothing is terribly revolutionary, just well done from the Washington Post, Politico, and the New York Times.
But let’s start with my district, which was super exciting.
Each of the three I chose to highlight did a good job. The Post was very straightforward and presented each office with a toggle to separate the two parties. Usually, however, this was not terribly interesting because races like the Pennsylvania governor had one incumbent running unopposed.
But Politico was able to hand it differently and simply presented the Democratic race above the Republican and simply noted that the sitting governor ran unopposed. This differs from the Post, where it was not immediately clear that Tom Wolf, the governor, was running unopposed and had already won.
The Times handled it similarly and simultaneously displayed both parties, but kept Wolf’s race simple. The neat feature, however, was the display of select counties beneath the choropleth. This could be super helpful in the midterms in several months when key races will hinge upon particular counties.
But where the Times really shines is the race for Pennsylvania’s lieutenant governor. Fun fact, in Pennsylvania the governor and lieutenant governor do not run as a ticket and are voted for separately. This year’s Democratic incumbent, Mike Stack, does not get on with the governor and had a few little scandals to his name, prompting several Democrats to run against him. And the Times’ piece shows the two parties result, side-by-side.
Credit for the Post’s piece goes to the Washington Post graphics department.
Credit for Politico’s piece goes to Politico’s graphics department.
Credit for the Times’ piece goes to Sarah Almukhtar, Wilson Andrews, Matthew Bloch, Jeremy Bowers, Tom Giratikanon, Jasmine C. Lee and Paul Murray, and Maggie Astor.
Yesterday we talked about a static graphic from the New York Times that ran front and centre on the, well, front page. Whilst writing the piece, I recalled a piece from Politico that I have been lazily following, as in I bookmarked to write about another time. And suddenly today seemed as good as any other day.
After all, this piece also is about women running for Congress, and a bit more widely it also looks at gubernatorial races. It tracks the women candidates through the primary season. The reason I was holding off? Well, we are at the beginning of the primary season and as the Sankey diagram in the screenshot below shows, we just don’t have much data yet. And charts with “Wait, we promise we’ll have more” lack the visual impact and interest of those that are full of hundreds of data points.
But we should still look at it—and who knows, maybe late this summer or early autumn I will circle back to it. After all, today is primary day in Pennsylvania. (Note: Pennsylvania is a closed primary state, which means you have to belong to the political party to vote for its candidates.) So this tool is super useful looking ahead, because it also shows the slate of women running for positions.
I really like the piece, but as I said above, I will want to circle back to it later this year to see it with more data collected.
If you haven’t heard by now, this year is a US Congressional midterm election year meaning that eligible American citizens will be voting for their local representative and 1/3 of the states will be selecting their senator. But perhaps because yesterday was Mother’s Day in the States, the New York Times ran a front-page, above-the-fold piece on the number of women running for Congress this year, either as incumbents or challengers.
Those of you familiar with this blog will know that I am excited basically anytime smart graphics work their way onto the front page. The map itself shows the rough location of where women candidates are running for office and a quick comparison shows there are more blue, Democratic, women than red, Republican. Nothing too special here.
But as I began to read the article, I became more interested in my questions that then fortunately became some of the article’s points about where these women were running in terms of competitive seats. Unfortunately the map does not contain any information about that.
Until I got to the inside page later on.
This graphic is the more impressive of the article’s two. As a brief inside, these types of graphics always intrigue me. What kind? The kind that do not fit neatly into a box. As part of my job, I serve as creative director, graphics designer, page designer, and production designer for the Philly Fed’s premier quarterly economics journal. Sometimes the job is having a box and filling said box with a graphic, the map on the front page is a great example. But with this graphic, that would leave too much white space at the top and so how do you design around or rather with that?
To the graphic specifically though, we get a nice little treat.
Nothing is complicated in this one. We have three conditions, running in an open seat or running against an incumbent, an incumbent, or running for an open seat. Since this piece focuses on the difficult path to get these women into office, especially because of the challenges of facing an incumbent, that group is the highlighted one. (A less focused piece that shows all three conditions would be neat.)
Then we basically have a graphic where we count the number of icons. In this case, we could have even used little boxes as the icons are not necessary. Personally, I would have opted for something like boxes, but these icons are not too distracting. The icons are then grouped by the competitiveness of the district, the part that interested me, and at this point note that the designer makes certain each grouping is an equal ten units wide.
Visually it becomes quite clear that women should certainly expect greater representation in Congress come 2019, but with so many women running as Democrats against safe Republican incumbents, it will be difficult to see many of these women in Congress. Of course with all this talk of a wave election, if that is true, you would expect some of the seats on the right to move to the left, i.e. safe Republican become lean Republican become tossups.
Overall, this was a nice treat for a Sunday read of the paper.
Credit for the piece goes to Kate Zernike and Denise Lu.