We have a nice little piece from the Economist today, a look at the electoral majority for London-area constituencies and how their housing prices may begin to draw out priced-out Labour votes from London proper.
What I really like from the design side is the flip of the traditional choropleth density. In other words, we normally see the dark, rich colours representing high percentages. But here, those high majority constituencies are not the ones of focus, so they get the lighest of colours. Instead, the designers point attention to those slimmest of majorities and then offer the context of average home prices.
Credit for the piece goes to the Economist’s Data Team.
Kenya presently waits for the results of its presidential election, one that pitted incumbent Uhuru Kenyatta against Raila Odinga, a many ran but never won candidate. Now, if you will indulge me, the Kenyan elections have interested me since December 2007, which if you recall provoked sectarian violence to break out across the country.
At the time I had just started working at my undergraduate thesis, a book using Fareed Zakaria’s Future of Freedom as the text (with a parallel narrative from Chinua Achebe’s Things Fall Apart) and I wanted to use specific case studies and data to add to the point of the book. Kenya with its election result data and horrific outcome allowed me to do just that. I juxtaposed awful images of that violence with quiet text and a full-page graphic of the results. I still find it one of the stronger spreads in the book, but as we await the results in Kenya, I am hoping that a ten-year anniversary piece will not be required.
And yes, I have learned a lot since 2007. Including my deep-seated antipathy for pie charts.
Credit for the piece goes to a much less knowledgable me.
Last week I mentioned that it appeared Politico was running with articles featuring data visualisation. Just this morning I stumbled upon another article, this one about the Blue Dog Democrats. For those that do not know, Blue Dogs are basically a more conservative Democrat and were the remnants of the Democratic south. But in 2010, they got all but wiped out. This article looks at how and where they might just be coming back.
If this trend of data-driven and visualised content continues, the Politico could be doing some interesting work over the next year. By then we will be in a rather intense mid-term cycle and there might be some political news to coverage.
Credit for the piece goes to the Politico graphics department.
In this piece from the Guardian, we have one of my favourite types of charts. But, the piece begins with a chart I wonder about. We have a timeline of countries creating universal healthcare coverage, according to the WHO definition—of which there are only 32 countries. But we then plot their 2016 population regardless of when the country established the system. It honestly took me a few minutes to figure out what the chart was trying to communicate.
However, we do get one of my favourite charts: the scatter plot over time. And in it we look at the correlation between spending on healthcare compared to life expectancy. And, as I revealed in the spoiler, for all the money we spend on healthcare—it is not leading to longer lives as it broadly does throughout the world. And care as you might want to blame Obamacare, the data makes clear this problem began in the 1980s.
And of course Obamacare is why the Guardian published this piece since this is the week of the Vote-a-rama that we expect to see Thursday night. The Republicans will basically be holding an open floor to vote on anything and everything that can get some measure of repeal and/or replace 50 votes. And to wrap the piece, the Guardian concludes with a simple line chart showing the number of uninsured out to 2026. To nobody’s surprise, all the plans put forward leave tens of millions uncovered.
It is a fantastic piece that is well worth the read, especially because it compares the systems used by a number of countries. (That is largely the text bit that we do not cover here at Coffeespoons.) I found the piece very informative.
Credit for the piece goes to the Guardian graphics department.
So this isn’t exactly an infographic, but it’s still great because it let’s me links to sites with the video. It’s about Donald Trump’s handshakes. If you missed yesterday’s two between him and new French president, Emmanuel Macron, well you missed something.
If you want to see the handshake, you can watch it in the video clip at the end of this article from the Telegraph. It sets the stage for the handshake snub that is at the top of said article.
Happy Friday, all.
Credit for the piece goes to the AFP graphics department.
My battery is about to die this morning and I don’t have my charger so this is going to be a shorter piece than usual. But I wanted to look back on the 100 Day polling that the New York Times posted. It does paint an interesting picture of somebody so polarising that Trump is probably safe despite being one of the least favourably viewed presidents in modern times. Why? Because his supporters are so fervently loyal.
But that piece is almost a month old now. And so I wanted to point out something that FiveThirtyEight is doing—a running tracker of Trump’s polling. I am sure I will return to it in the future, after all we have over three and a half years to go until the next four year presidential term begins.
Credit for the piece goes to Karen Yourish and Paul Murray for the Times and Aaron Bycoffe, Dhrumil Mehta, and Nate Silver for FiveThirtyEight.
Emmanuel Macron won the French presidential election yesterday. So Guess what we have a graphic or two of this week? If you guessed Mongolian puppies, you were wrong.
Thursday afternoon the Wall Street Journal—they seem to really be upping their game of late—published an article breaking down the connection between a Le Pen support in the first round and unemployment. For me, the key to the article was the following graphic, which plots those two variables by department. The departments that she won, generally speaking, suffer higher unemployment.
Colour coding relates to the winner of the department. I am not certain that the size of the voters in the department matters as much. But the annotation of particular departments, qualified as being limited to the French mainland—see my problem back in April about when France is more than France—flows through the several graphics in the piece.
This is a piece from the Thursday running up to Sunday’s vote. Tomorrow we will look at a piece from the day before the vote that looked at another key component of Macron’s win.
Credit for the piece goes to Martin Burch and Renée Rigdon.
Well as of last night, we are having yet another vote on AHCA, better known as Trumpcare. I will not get into the details of the changes, but basically it can be summed up as waivers for Obamacare regulations. And as of last night, $8 billion over five years to cover those at high-risk. What about after five years? What if, as experts say, that sum is insufficient and it runs out before five years are up?
This is still a bad bill.
But thankfully we have FiveThirtyEight who looked at support before the Upton amendment—the $8 billion bit—and found that the bill could still fail because of a lack of moderate support.
The basic premise is this: In order to get the conservative Freedom Caucus, which scuppered the bill a few weeks ago, on side Ryan et al. had to make the bill more conservative. They likely had to make it cover fewer people at a higher cost. I say likely because Ryan is not sending this to the Congressional Budget Office (CBO) to score the bill, something typically done to see how much it costs and whether it might work. Problem is, by making the bill more conservative, they push away moderate Republicans. Yes, Virginia, they do exist.
Today’s question is whether an $8 billion throw-in will buy in enough moderate votes.
Another day, another story about the administration to cover with data-driven graphics. We are approaching Trump’s 100th day in office, traditionally the first point at which we examine the impact of the new president. And well, beyond appointing a Supreme Court justice, it is hard to find a lot of things President Trump has actually done. But on his 99th day, he will also need to approve a Congressional bill to fund the government, or else the government shuts down on his 100th day. Not exactly the look of a successful head of state and government.
Why do I bring this up? Well, one of the many things that may or may not make it into the bill is funding for Trump’s wall that Mexico will pay for, but at an undetermined later date, because he wants to get started building the wall early, but late because he promised to start on Day 1.
Several weeks ago the Wall Street Journal published a fantastic piece on the current wall bordering Mexico. It examines the current state of fencing and whether parts of the border are fenced or not. It turns out a large portion is not. But, the piece goes on to explain just why large sections are not.
You should read the full piece for a better understanding. Because while the president says building the wall will cost $10 billion or less, real estimates place the costs at double that. Plus there would be lawsuits because, spoiler: significant sections of the border wall would cross private property, national parks, and Native American reservations. Also the southern border crosses varied terrain from rives to deserts to mountains some lengths of which are really difficult to build walls upon.
But the part that I really like about the piece is this scatter plot that examines the portion of the border fenced vs. the number of apprehensions. It does a brilliant job of highlighting the section of the border that would benefit most significantly from fencing, i.e. a sector with minimal fencing and a high number of apprehensions: the Rio Grande Valley.
And to make that point clear, the designers did a great job of annotating the plot to help the reader understand the plot’s meaning. As some of my readers will recall, I am not a huge fan of bubble plots. But here there is some value. The biggest bubbles are all in the lower portion of fenced sectors. Consequently, one can see that those rather well-fenced sectors would see diminished returns by completing the wall. A more economical approach would be to target a sector that has low mileage of fencing, but also a high number of apprehensions—a big circle in the lower right of the chart. And that Rio Grande Valley sector sits right there.
Overall, a fantastic piece by the Wall Street Journal.
Credit for the piece goes to Stephanie Stamm, Renée Rigdon, and Dudley Althaus.
Well there you have it. Macron and Le Pen are moving on to round two of the French presidential election. Now, I have two things I want to address regarding the election. Today’s post looks at the meaning of the result and tomorrow’s will be about how that result was displayed.
Quartz did a really nice job outlining the likeliest outcomes, where the candidates stand, and then the initial polling for a round two head-to-head. And they did it all in one graphic.
I might not like the style of the icons—a a dollar sign emoji for a country that uses the Euro?—but the concept works well. But the best part is the brief synopsis to the right that describes the meaning of that particular outcome.
Credit for the piece goes to the Quartz graphics department.