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.
War is good for the arms business. So a long and bloody civil war in Syria is just what arms manufacturers want. And while arming the Syrian government is fairly easy, how do you get weapons and ammunition to the Syrian rebels? The New York Times maps the flow of arms through an almost Sankey-like diagram where the number of flights determines the width of the arrows from source to destination.
And while that would be sufficient information to warrant a map, the Times adds a further layer by showing when the flights arrived. Clearly the civil war began with a certain number of arms. But as the war has both drawn on and become bloodier, new weapons are needed and ammunition needs to be restocked. Those needs likely explain a recent surge in flights.
Today’s post features a Sankey diagram from the New York Times that looks at how the Obama administration has been failing to help homeowners with mortgage problems. Less than 25% of applicants have seen successful modifications of their home loans. The diagram here clearly shows the process and the failures that have led to so many Americans not receiving the help they sought.