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.
On 8 June, Britons will go to the polls in a general election that Prime Minister Theresa May called to increase her parliamentary majority. The United Kingdom faces a number of issues—I am looking at you housing and the NHS for starters—but Brexit is on the minds of a lot of people.
That makes sense, because if you recall the nation split 52–48 to leave the European Union last June. But, as the Financial Times explained the other day, that split is not as even as it used to be and that may have significant ramifications for the Conservative Party not to mention Labour and the Liberal Democrats.
The author explains the piece in nice detail, but this graphic including along with the article does a fantastic job showing the movements.
As you can probably guess, I am a huge fan of the annotations. Although I would argue that the centre and lower two, by being placed over the graphic, may be a bit illegible. But the concept is fantastic. It shows you just how difficult it will be for Labour and the Lib-Dems to beat May in June.
Well not likely—it was going to be tough regardless.
Today’s piece is also from the Wall Street Journal and it was posted Saturday, the day before the election. It used a Sankey diagram to explore the support that Le Pen would have needed to draw from every candidate in the first round to get over the 50% mark in the second round.
If anything this chart is not the story. The story is that the final count I saw put Macron not on 60%, but on just over 66%.
Turns out she couldn’t.
Credit for the piece goes to Stacy Meichtry and Jovi Juan.
I was having a conversation with a mate the other night about what Brexit means for Scottish independence. This mate, however, is an American. Because when American politics are depressing and nonsensical, we turn to British pol—wait, never mind.
Despite the overall UK vote to leave the European Union, Scotland (and London, and Northern Ireland) voted overwhelmingly to remain. But since part of the whole vote no to independence thing was remaining part of the EU thing, shouldn’t Scotland now be well positioned for IndyRef2?
I read this article from the Guardian back in January and meant to share it with you all, but I somehow forgot about it. So at long last, it turns out no, not so much. The whole thing is worth a read; it uses YouGov survey data to break out voters into different camps. And what sort of nails the argument is this graphic.
There are four/five groups of Brexit/IndyRef1 voters that then get sorted into two/three IndyRef2 results (yes, no, maybe I don’t know?). And what you can see is that yes, a significant number of those who voted to Remain in the EU, but voted no to Scottish independence would now vote for independence. But, an almost equal number of those who voted to Remain and also voted for Scottish independence would now vote against Scottish independence. In effect, these two voter movements are cancelling out any potential gains for a future Scottish independence vote.
Credit for the piece goes to the YouGov graphics department.
Last week Scotland voted for its parliament, Holyrood. The Scottish National Party did well enough, the Conservatives picked up quite a few seats, and Labour lost quite a few. The Guardian put together this piece looking at the results and the stories contained therein. But I want to focus on the graphics, the big piece of which was a map of Scotland with each constituency represented by a small Sankey diagram.
You see that generally, Scotland is a sea of yellow, surging blue, and diminishing red. But what about the numbers for each constituency? The interactive nature of the chart lets you see the 2016 results mousing over the constituency.
Normally I would say that a piece like this is missing an easy way for someone to find their own constituency, however, this is not a results page, but an article on the results, so something like a search bar is not necessary.
What I really enjoy, however, is that when the story breaks down the results by regions, the map becomes an abstracted series of squares used to highlight the constituencies in focus. It is a really nice reuse of the concept and the overall graphic.
Credit for the piece goes to the Guardian’s graphics department.
From time to time in my job I hear the desire or want for more different types of charts. But in this piece by Nick Brown over on Medium, we can see that there are really only a few key forms and some are already terrible—here’s looking at you, pie charts. How new are some of these forms? Turns out most are not that new—or very new depending on your history/timeline perspective. Brown illustrated that timeline by hand.
Worth the read is his thoughts on what is new for data visualisation and what might be next. No spoilers.
If you did not hear about it the other day, the head of FIFA resigned. That is kind of a big deal because football (in the rest-of-the-world sense of the word) is kind of a big deal. But the organisation that runs it is generally seen as wholly corrupt. So this BBC piece takes a look at the revenue and spending—at least so far as we know about it.
Credit for the piece goes to the BBC graphics department.
While I hate coffee, I do like sankey charts. And this piece from Quartz makes use of one when discussing the exports of coffee. In particular, the article focuses on the value that coffee manufactures, e.g. Nestle, add to Swiss imports of un-roasted beans before exporting them roasted. (Increasingly in little pods.) Overall, the piece is of a digestible length and worth a read. If you like coffee. Personally, I’m sticking with tea.
Today’s post comes via one of my coworkers. She sent me this graphic from Thomson Reuters that uses a Sankey diagram to show the movement of European Union citizens within the EU. As with my post yesterday, I feel this piece would benefit from even limited interactivity. Exploring individual countries or individual flows by touch or by mouse would be more useful than relying on annotations. But also as I said, that might not have been possible within the production constraints of this piece.