I am forever an Anglophile.
Credit for the piece goes to Randall Munroe.
I am forever an Anglophile.
Credit for the piece goes to Randall Munroe.
This is sort of an early Friday post that follows up from my post on David Petraeus yesterday. Today’s comes from Hilary Sargent, once of the Boston Globe. It diagrams the network that ultimately resulted in the conviction I mentioned yesterday.
For President-elect Donald Trump’s campaign to run so heavily against Secretary Clinton for mishandling classified information, his potential choice for Secretary of State did worse. He was actually convicted of mishandling classified information.
Credit for the piece goes to Hilary Sargent.
I am very closely following the transition of power from President Obama to President-elect Trump. And one of the very surprising news stories has been that Trump is considering David Petraeus for Secretary of State.
Given the controversy and campaign rhetoric against and surrounding Hillary Clinton for alleged mishandling of classified information as Secretary of State, I wanted to set the record straight with this one dataset comparing Petraeus to Clinton on their reckless handling of classified information.
Going by the data, if your claim was that Hillary Clinton could not be trusted with national secrets, neither can David Petraeus. Move along, Mr. Trump.
Credit for the piece goes to me.
Today’s post is a choropleth map from the Washington Post examining diversity in the United States and how fast or slow diversity is expanding. Normally with two variables one goes instantly to the scatter plot. But here the Post explored the two variables geographically. And it holds up.
The colours are perhaps the only part holding me up on the piece’s design. Are blue and yellow the best two colours to represent level of diversity and growth? I lose some of the gradation in the yellows, especially between the big increases in diversity. Can I offer a better solution? No, and maybe there is not. But I would love the chance to explore different palette options.
As you well know, I am not a big fan of always plotting things on maps. I call them the silver bullet. However, in this instance, there are clear geographic patterns to the four different scenarios. Of course this soon after the election I would love adding a third variable: how the counties voted in the presidential election. Maybe next time.
Credit for the piece goes to Dan Keating and Laris Karklis.
President-elect Donald Trump was correct when he stated that the president is often exempt from conflicts of interest while in office. However, he is not exempt from the emolument clause of the Constitution. Put simply, the president cannot receive money or gifts from foreign governments. The whole not being beholden to a foreign power thing.
The catch is that a significant bit of Trump’s portfolio involves dealings with state-run companies across the world. And state-run companies are state-run, that is to say, run by foreign governments. Should they pay rent, make an investment, offer him a gift, he would be receiving money or gifts from a foreign government. Unless Trump takes action between now and January to sell-off or otherwise divest himself of those investments and arrangements, on Inaugural Day, not only would he be swearing the oath of office, but he would be breaking it simultaneously.
The New York Times went through Trump’s own financial disclosure and found these locations around the world where his business operates.
Credit for the piece goes to Richard C. Paddock, Eric Lipton, Ellen Barry, Rod Nordland, Danny Hakim, and Simon Romero.
A changeup from the political coverage, here we have sportsball! And by sportsball I mean tennis, if you did not get that from today’s post title. Andy Murray won the ATP World Tour finals, and with it won the number one seed in tennis, displacing Novak Djokovic.
Nothing super fancy going on here, just a line chart. But, it does do a good job of showing how over the last year, the slow decline of Djokovic and the ascendance of Murray.
Credit for the piece goes to John Saeki.
So following on from my Wednesday post, let’s take another look at the “problem” of Mexican immigration. Because as these graphics from the Pew Research Center show, it’s not really a problem these days.
Instead, immigration is down.
Credit for the piece goes to the Pew Research Center graphics department.
Happy Friday after the election. Now that we have had our fill on sweets and bitters, we probably need to move towards a more balanced, more moderate diet. A couple of months ago the New York Times put together this scatter plot from the difference between public and nutritionist opinion on whether certain common foods are healthy.
I normally do not comment on the design of my Friday posts, since I intend them to be on the lighter, more humourous side of things. But this piece interests me, because despite the seriousness of the subject matter I find it lighter and less serious. Why? After studying it, I think it is because of the inclusion of photographs of the items. With the labels still present, I am left thinking that a small dot would be equally effective in communicating what falls where.
But more importantly, look at the sizes of the images relative to the plot. Take the bowls of granola or popcorn, for example. They occupy almost an entire square; the actual value could be anywhere with the 10 percentage point range either vertically or horizontally. And for those two, it does not matter a great deal. Each falls firmly on one side of the line. But what about butter? Kind bars? Cheddar cheese? The large graphic size straddles the line, but because the designers opted for photos over more precise dots, we cannot ascertain whether these foods fall on one side of the line or the other.
The point is that the graphics and design of a piece can influence the perceived seriousness of a piece. An image of a can of Coca-Cola certainly can be more engaging than a 10-pixel dot. But the precision of the dot over the image can also be engaging to the right audience, an audience interested in the data behind the story. There are ways of integrating both, because later on in the same article, we see a means of doing just that.
Here the image provides supplemental information. Just what does a granola bar look like? Well here you can see it. But even here, despite the smaller size and cropped dimensions, the photographs steal a bit of emphasis from the numbers and the charts to the right. (For things like SlimFast, that is no surprise, because the package is designed to capture your attention.)
At the end of the day, the piece interests me because the data interests me. And the story interests me. And I generally like the data visualisation forms the designers chose. But I keep getting hung up the photographs. And not in a good way. What do you think? Do the photos add to the story? Do they make the data clearer?
Credit for the piece goes to Kevin Quealy and Margot Sanger-Katz.
I was not sure if I wanted to file this under either my humourous Friday posts or my regular weekday posts, but I ultimately decided to go with the weekly postings. Why?
It’s simply a different way of visualising the election results, by separating the two camps into two separate Americas. One is the geography connected by Trump’s victory, the other are those disconnected cities and geographies united around Clinton. A collection of almost Greek-like city states.
And what I can say as someone who often drove from the Chicago Sea to the Acela Channel, the United States is very much divided by economics and by culture. But in theory that is the great advantage of the pluralist, multicultural society—it allows for all people of all different types to cohabit an entire continent. Well, in theory at least.
Credit for the piece goes to Tim Wallace.
Donald Trump announced how he wants to deport 2–3 million undocumented immigrants that have criminal convictions or that belong to gangs. I read up on the issue at FiveThirtyEight and came across the following graphic from the US Immigration and Customs Enforcement (ICE).
However, when I review the graphic, I found it difficult to understand the FiveThirtyEight article’s point that President Obama has lessened the focus on deportation, but those deported are those convicted of serious criminal offences. So I expanded the size of the y-axis and broke apart the stacked bar chart to show the convicted criminals vs. the non-criminal immigration violators. This graphic more clearly shows the dramatic falloff in deportations, and the emphasis on those with criminal convictions.
Credit for the original goes to the graphics department of the US Immigration and Customs Enforcement. The other one is mine.