I laughed aloud when I read this. So I am just going to leave it here. Happy Friday, all.
Credit for the piece goes to Randall Munroe.
I laughed aloud when I read this. So I am just going to leave it here. Happy Friday, all.
Credit for the piece goes to Randall Munroe.
I know I’ve looked at the Times a few times this week, but before we get too far into the next week, I did want to show what they printed on Saturday.
It is not too often we get treated to data on the front page or even the section pages. But last Saturday we got just that in the Business Section. Two very large and prominent charts looked at federal government borrowing and the federal deficit. Both are set to grow in the future, largely due to the recently enacted tax cuts.
The great thing about the graphic is just how in-the-face it puts the data. Do two charts with 14 data points (28 total) need to occupy half the page? No. But there is something about the brashness of the piece that I just love.
And then it continues and the rest of the article points, at more normal sizes, to treasury bill yields and car loan rates. The inside is what you would expect and does it well in single colour.
But I just loved that section page.
Credit for the piece goes to Matt Phillips.
In news that surprises absolutely nobody, Russia “re-elected” Vladimir Putin as president for another six-year term. The Economist recently looked at what they termed the Puteens, a generation of Russians born starting in 1999 who have no memory of a Russia pre-Vladimir Putin.
This piece features a set of interactive dot plots that capture survey results on a number of topics that are segmented by age. It attempts to capture the perspective of Puteens on a range of issues from their media diet to foreign policy outlook to civil rights.
The design is largely effective. The Puteen generation sticks out clearly as the bright red to the cool greys. And more importantly, when the dots would overlap they move vertically away from the line so users can clearly see all the dots. And on hover, all the dots of the same age cohort’s interest are highlighted. I think one area of improvement would have been to apply that same logic to the legend to allow the user to scroll through the whole dataset without always having to interact with the chart. But that is a minor bit on an otherwise really nice piece.
Credit for the piece goes to the Economist’s graphics department.
I am exhausted. I tried to stay up late enough to catch the absentee ballots from Washington County. Alas, I did not quite make it. (You better bet I will be drinking all the caffeine today.) But someone else did not quite make it through the night. Or rather, something. What was it? The New York Times election night needle.
To understand why the Times made the needle, read this really great explainer. The super short version: it tries to forecast the results of that particular election day, accounting for things like uncounted votes. On television, analysts and large interactive screens can show how, usually, urban districts are counted first then followed by slower-to-return rural areas. But for people following results solely online, those nuances might well be lost. Enter the needle.
Last night, like much of the Twitterverse I follow for politics, I had the needle open in one tab. But as the results began to come in, something odd was happening on the Times’ results page. The votes were being displayed in a precinct-by-precinct fashion in Allegheny, Washington, and Greene Counties. But Westmoreland was oddly grey. It turned out, the county elections board was not, I suppose, digitally publishing the precinct results, only county-wide.
Fun fact, the needle’s model is apparently built on precinct results. So how do you have a needle if something like 30% of the model’s required or expected data will not be available? The Times tweeted about it a few times, but ultimately pulled it down. Better to not have it and be right than have it wrong just to have it.
But that brings me to the second point about the needle. Well done to BuzzFeed’s Decision Desk HQ, who were presciently concerned about the ability of the county to get precinct level results up online. So they sent a reporter, as in a human being, to Westmoreland to get the analogue results and then upload them to BuzzFeed’s own results spreadsheet. (I never did find a BuzzFeed live results page.)
Who knows the budget difference between the New York Times’s graphics/politics desks and that of BuzzFeed’s, but the ability to put a single person in Westmoreland made the difference for BuzzFeed, whose coverage via Decision Desk HQ, made for a more compelling following because they were, old school like, reading out results as they came in via reporters. And because there were no exit polls in the election, we had to wait for all the votes. Strangely, it almost felt like watching a UK general election where you have to wait hours for some constituencies to announce results. Though this election had a noticeable lack of Raving Monster Loony candidates.
I bring up the BuzzFeed contribution to the night because it does show how sometimes the sheer fact of placing a reporter on the ground can yield tremendous results. Come November, no, I don’t think any single media organisation can afford to put a reporter in every single US county. But I would bet the Times will be working on how to better precinct proof their needle.
Credit for the piece goes to Nate Cohn, Josh Katz, Sarah Almukhtar, and Matthew Bloch.
Europe enjoyed some significant political news yesterday. First, Angela Merkel will serve a fourth term as chancellor as the SPD members voted to allow their party to enter into a grand coalition with Merkel’s CDU/CSU party.
But the more important story is that of the Italian elections, where the centre-left under Matteo Renzi was attempting a comeback against the populist parties the 5-Star Movement and the League, the latter an anti-immigrant party. Also in the mix was Silvio Berlusconi, whose Forza party won 14% of the vote and as a member of a right/centre-right bloc that won 37%.
So I chose to highlight the homepage of IL Sore 24 Ore, an Italian newspaper, that had the results displayed clearly.
Of course the big problem is that I can neither read nor speak Italian. So figuring out just what every label is proved to be a bit tricky. But once you figure it out, it is quite clear. The nice blue banner for the real-time results (again with the assuming of translation) does a nice job of clearly separating itself from the rest of the page, but the tables inside are quiet and not screaming for attention. Instead the user is allowed to find his or her party of bloc of interest and then scan to the right for the bold number of seats in the respective chamber.
The results page is similarly nice, using clean and simple tables to organise the information. Using the Chamber of Deputies page as an example, the overall results appear on the left while important context via maps and specific regions appear to the right. All the while the use of simple typography and whitespace guide the user to the appropriate data set.
And lastly a screenshot of an article about the election results, none of which I can read. Here, instead of an interactive table or graphic, we have a static graphic showing the results. It certainly captures the results in this particular moment—exact seat numbers have not yet been released—but could grow stale as the day goes on. Although there very well could be a page with interactive results like this, but that I cannot find because, again, I cannot read Italian.
The design of the graphic is nice. It uses the popular half-circle arc to show who “crosses the finish line” in terms of blocs seating more than 50% of the chamber. But once again, I am most impressed by the clarity of the table and information displays through white space and typography. (Though I feel in this case white space should be more like light salmon-coloured space.)
Overall, the designers did a fantastic job of presenting the data and information, so well that a non-Italian could even figure it out.
Credit for the piece goes to the Il Sore 24 Ore graphics department.
I understand what is going on, with the size of the bubbles relating to British exports and the colour to the depth of the free trade deal, i.e. how complex, thorough, and wide-ranging. But the grouping by quadrant?
With trade, geographical proximity is a factor. Things that come from farther cost more because fuel, labour time, &c. One of the advantages the UK currently has is the presence of a massive market on its doorstep with which it already has tariff- and customs-less trade—the European Union.
Consequently, could the graphic somehow incorporate the element of distance? The problem would be how to account for routes, modes of transport, time—how long does a lorry have to queue at the border, for example. Alas, I do not have a great answer.
Regardless of my concepts, this piece does show how the most valuable trade partners already enjoy the deepest and largest trade deals, all through the European Union. And so the UK will need to work to replicate those deals with all of these various countries.
Credit for the piece goes the Economist Data Team.
Yesterday SpaceX launched the Falcon Heavy rocket on its maiden voyage, and then recaptured several, though not all, of its reusable rockets. The Falcon Heavy represents the most powerful rocket available to mankind today, though NASA’s Saturn V of the Apollo programme era was considerably more powerful. That was all the stuff you could read in the news yesterday and today.
But how much more powerful? Thankfully we have the Economist who put together a nice graphic detailing not just the standard size comparisons of the Falcon series to the Saturn V and other famous rocket systems, e.g. the Space Shuttle and its boosters. The Economist graphic also adds information about the payload capabilities and timeframes for either historical operation or expected service dates.
From the illustrative side, there were three really nice touches. First, the faint Statue of Liberty to give the rocket height context to famous landmark buildings. Two, the little human figure on the left-hand side to give context to ourselves, these things are big. Three, the ridiculousness of the Saturn V is captured by having its peak break the top frame of the chrome or graphic device, i.e. the red bar, standard on Economist graphics.
Overall a solid piece. (Yes, I know these are liquid fueled.)
Credit for the piece goes to the Economist’s graphics team.
A few days ago I posted about the front cover graphic for the New York Times that used a choropleth to explore 2017 economic growth. Well, this morning whilst looking for something else, I came across the online version of the story. And I thought it would be neat to compare the two.
Again, nothing too crazy going on here. But the most immediately obvious change is the colour palette. Instead of using that green set, here we get a deep, rich blue that fades to light very nicely. More importantly, that light tan or beige colour contrasts far better against the blue than the green in the print version.
The other big change is to the small multiple set at the bottom. Here they have the space to run all twelve datasets horizontally. In the earlier piece, they were stacked six by two. It worked really well, but this works better. Here it is far easier to compare the height of each bar to the height of bars for other countries.
Credit for the piece goes to Karl Russell.
Earlier this month I wrote-up a piece from the Economist that looked at 2018 GDP growth globally. I admitted then—and still do now—that it was an oddly sentimental piece given the frequency with which I made graphics just like that in my designer days of youth and yore. Today, we have the redux, a piece from the New York Times. Again, nothing fancy here. As you will see, we are talking about a choropleth map and bar charts in small multiple format. But why am I highlighting it? Front page news.
I just like seeing this kind of simple, but effective data visualisation work on the front page of a leading newspaper.
I personally would have used a slightly different palette to give a bit more hint to the few negative growth countries in the world—here’s lookin’ at you, Venezuela—but overall it works. And the break points in the bin seem a bit arbitrary unless they were chosen to specifically highlight the called-out countries.
Then on the inside we get another small but effective graphic.
It doesn’t consume the whole page, but sits quietly but importantly at the top of the article.
There the small multiples show the year-on-year change—nothing fancy—for the world’s leading economies. A one-colour print, it works well. But, I particularly enjoy the bit with China. Look at how the extreme growth before the Great Recession is handled, just breaking out of the container. Because it isn’t important to read growth as 13.27% (or whatever it was), just that it was extremely high. You could almost say, off the charts.
Overall, it was just a fun read for a Sunday morning.
Credit for the piece goes to Karl Russell and the New York Times graphics department.
The last two weeks we twice looked at gerrymandering as it in particular impacted Pennsylvania, notorious for its extreme gerrymandered districts. And now that the state will have to redraw districts to be less partisan, will Pennsylvania usher in a series of court orders from other state supreme courts, or even the federal Supreme Court, to create less partisan maps?
To that specific question, we do not know. But as we get ever closer to the 2020 Census that will lead to new maps in 2021, you can bet we will discuss gerrymandering as a country. Maybe to jumpstart that dialogue, we have a fantastic work by FiveThirtyEight, the Gerrymandering Project.
Since we focus on the data visualisation side of things, I want to draw your attention to the Atlas of Redistricting. This interactive piece features a map of House districts, by default the current map plan. The user can then toggle between different scenarios to see how those scenarios would adjust the Congressional map.
If, like me, you live in an area with lots of people in a small space, you might need to see Pennsylvania or New Jersey in detail. And by clicking on the state you can quickly see how the scenarios redraw districts and the probabilities of parties winning those seats. And at the bottom of the map is the set of all House seats colour-coded by the same chance of winning.
But what I really love about this piece is the separate article that goes into the different scenarios and walks the user through them, how they work, how they don’t work, and how difficult they would be to implement. It’s not exactly a quick read, but well worth it, especially with the map open in a separate tab/window.
Overall, a solid set of work from FiveThirtyEight diving deep into gerrymandering.
Credit for the piece goes to Aaron Bycoffe, Ella Koeze, David Wasserman and Julia Wolfe.