Another Monday, another week, another post. But this week we will try to get by without any more Brexit coverage. So what better way to cure a hangover than with more booze? So let’s start with some fancy wine.
I meant to post this piece a little while back, but yeah that unmentionable thing occurred. Now we have the time to digest as we sip and not slam our beverage of choice—the Sun’s over the yardarm somewhere I figure. FiveThirtyEight took a look at expensive wines. It compares the pricing at various vintages for France, California, and other wine-producing regions. On the balance, a very smart piece with some great graphics.
But since I had to pick just one, since this isn’t a full-on critique, I opted for this set of small multiples. It compares the price vs. vintage for a number of California red wines. (One of which I had this weekend.)
Over the weekend I found myself curious about the notion of a growing global middle class. So I dug up some data from the Pew Research Center and did some analysis. The linked piece here details that analysis.
I go into more detail than just a map. Hopefully you enjoy the piece and find the analysis informative if not useful.
Brexit is coming, Brexit is coming. Something about red coats? I couldn’t resist. But, the prospect of the United Kingdom leaving the European Union is real, though still not likely according to the latest polling data. What drives the sentiment to get out, kick out the illegal immigrants, and restrict new immigrants from arriving—where have I heard that before—? Well, the Washington Post takes a look at a plausible economic cause.
And because I am pretty sure I have heard something similar, the article makes a case for countries beyond the British Isles.
So last week I mentioned Pennsyltucky in my blog post about Pennsylvania’s forthcoming importance in the election. And then on Friday I shared a humourous illustrated map of Pennsylvania that led into an article on Pennsyltucky. But where exactly is it?
Luckily for you, I spent a good chunk of my weekend trying to find some data on Pennsylvania and taking a look at it. You can see and read the results over on a separate page of mine.
Last week the New York Times published a great piece on the shrinking middle class and they used a series of small multiples to tell the story. They broke the story up into several sections, based on the trends in the data, e.g. in the screenshot below the designer sorted by areas where the middle class fell but upper class rose.
From the responsive design side of things, the piece works well on narrower screens too, because the design choice of small multiple tiles permits the piece to stack and rearrange tiles.
At least relatively speaking. Today’s post is a Bloomberg article comprised primarily of charts with pithy titles summarising the data story. If listicle is a word for articles consisting of the Top-10 things about [whatever], do we start embracing charticle as the word for chart-driven stories? Even if we do, we should take note that this piece was not the work of one person, but four.
The story captures my attention to and dovetails nicely into yesterday’s piece about a possible electoral path for Donald Trump to take the White House later this autumn.
Bonus points for the responsive nature of the post.
Credit for the piece goes to Andre Tartar, Mira Rojanasakul, Jeremy Diamond, and John Fraher.
Organisations that forecast things are not often inclined to go back and review their forecasts against the actual results. So that makes today’s post from the Wall Street Journal fascinating. They reviewed the Federal Reserve’s forecasts for US GDP growth against the actual growth. And it turns out the Fed consistently overestimated US growth.
From a design standpoint, what makes this piece interesting is how they presented the range of forecasts. After all, it would otherwise become a plot of squiggly spaghetti lines. Instead, they used colour to group each projection set. A smart idea. Plus a nice literary allusion. I mean if you like Dickens.
Credit for the piece goes to the Wall Street Journal graphics department.
Today we are looking at a smaller piece from the Washington Post. The graphic fits within an article about US stock prices. What the graphic does is show the total scale, i.e. starting the chart on the 0 axis, and then showing in detail the fluctuations near the maximum end of the scale. And yet all of this done as an inset graphic. It need not be a full-width graphic, because the data does not demand it.
Credit for the piece goes to the Washington Post graphics department.