Earlier this week we looked at Ukraine’s loss of Debaltseve. Today we look at a piece from the Economist that compares the military hardware of the United States, Russia, and China. These are the mere datapoints on quantity, not quality. But it still illustrates fairly well why we should not fight a land war in Asia.
Comparing the numbers
Credit for the piece goes to the Economist’s Data Team.
People, science is your friend. Vaccinations are not only for the benefit of yourself, but for others. Anyway, let us take a look at the measles outbreak through some graphics produced by the New York Times. It started in Disneyland. Because we had eliminated the disease about 15 years ago. Science, people.
Where the outbreak had spread as of 6 February
Credit for the piece goes to Jonathan Corum, Josh Keller, Haeyoun Park, and Archie Tse.
Yesterday was Presidents Day and I had the day off. So today’s post is a bit late, but it still works. Pew Research Centre pulled together data they had on presidential popularity from Eisenhower to Obama. The data point was job approval.
There has been a widening polarity gap
Credit for the piece goes to the graphics department of the Pew Research Centre.
Choropleths are not always a good idea. For example, look at election maps. Highly populated but geographically small cities appear as mere drops of ink on paper or pixels on a screen. Meanwhile, vast deserts appear gigantic empires. Nothing new there. But even within cities, these issues exist. London is one such city and one design studio has been working on a means of changing that. London Squared Map converts the boroughs of London into almost all squares of equal area. Each is placed in the appropriate space to represent geographic location. But to convey actual geography and familiarise the audience, not all squares are equal. Instead, just like the city itself, the squares are divided by a simplified shape of the Thames.
The Recession was not great for the 99%. It was, however, good for the 1%. How good? Well as data put together by the Economic Policy Institute indicates—and as reported by the Washington Post—it was very good. In only 1 of 49 states did the 99% fare better than the 1%. One state’s data was unavailable. This scatter plot compares the growth over the period of the two income groups. And as the reader can see, the growth was generally speaking not even close to being equal.
Comparing income growth
Credit for the piece goes to Niraj Chokshi and Jeff Guo.
Ukraine continues to suffer the effects of a Russian invasion. Though we won’t call it that. This piece from Radio Free Europe looks at the displaced persons in the country. Unfortunately, it is not quite the best example of what to do.
Displacement in Ukraine
The line chart looks at the cumulative number of displaced persons. But, a monthly growth or absolute number for that month would tell a different story. See below. Hint, it slowed down, and then got pretty bad again.
Monthly population change
I am also not a fan of labelling every data point on the map. Maybe call out a few interesting ones, the outliers perhaps. But do we need to know to the person how many people are in Ternopil. Probably not.
Credit for the piece goes to the graphics department of Radio Free Europe.
I apologise for the lack of posts over the last two weeks, but I was on holiday. Naturally, I have returned just in time for some snowstorms in the Midwest. But today’s piece comes from WGN and it explains how the type of winter precipitation that falls depends not solely on ground temperatures. Rather, temperature profiles in the upper atmosphere can make all the difference between rain, sleet, and snow.
How temperatures create different precipitation types
Credit for the piece goes to Steve Kahn and Jennifer Kohnke.
I get that a lot of you like Christmas. That’s great. But for those of not terribly attached to it for more than the days off work, listening to music can switch from being relaxing to aggravating right quick. Thankfully we have FiveThirtyEight to examine just how ridiculous this all-Christmas-all-the-time trend has become.
I remember the internet from some of the earlier days. So when the Washington Post published this chart in a piece looking at the history of the popular sites on the Internet, well I felt old. Remember Geocities? Looking at this chart, how many of the old web companies can you recall? Does that make you feel old?