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.
This past weekend Al-Shabab, the Al Qaeda affiliate based in Somalia, threatened shopping malls in the United States, Canada, and the United Kingdom. This threat carries a certain amount of weight given the deadly attack Al-Shabab launched against the Westgate Shopping Mall in Nairobi, Kenya a few years ago.
So what to look at today? Well, a few weeks back a colleague sent me a link to a Bloomberg article about the American shopping mall. The article examines the makeup of stores, the people shopping, and the regionalisation in the food court(s). On a personal note, I was glad to see that King of Prussia received a mention.
Auntie Anne’s in KoP? I’d rather Philly Pretzel Factory
Credit for the piece goes to Dorothy Gambrell and Patrick Clark.
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.
Today’s selection is a little old—dating from July of last year—but is still a nice example of an inline graphic supporting the premise of its accompanying article. The New York Times looks at what was then data published by the United Nations on urban growth out to 2030. The article talks about the growth of megacities in lower income countries and those in the tropical regions. So smack in the middle of the article are two stacked bar charts breaking down urban populations into those two categories.
Urban population makeup
Personally I would have preferred a series of line charts to better compare the growth—the lack of a common baseline makes it very difficult to compare segments of the bars. But below the stacked bar charts we have a nice table. Those are always good to see. They organise information clearly and make it quick to find what is relevant.
Credit for the piece goes to the New York Times graphics department.
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.
Today’s piece comes via a colleague. It is an article about hit-and-run cycling accidents in and around Los Angeles. The data visualisation in the article is not entirely complex—we are talking only about line charts and bar charts—but they support the arguments and statements in the article. And in that sense they are doing their job.
Locations of hit-and-run accidents in and around LA
Credit for the piece goes to Armand Emamdjomeh, Laura J. Nelson, and Joseph Serna.
This is an old map that saw the light of day a while back. Featured on Vox, the map supports the notion that some white people are whiter than other white people. The map explores immigrant populations. Using a map for spatial arrangement of integrated components, the data looks at immigrants’ ethnic origins, their workforce breakdown, and their recent growth.
A look at PA, my ancestors are in that data set
Credit for the piece goes to FS Howell. (I presume.)
Today’s piece comes from the Wall Street Journal. It looks at US retail and foodservice spending through different types of stores.
Retail sales by store type
I take issue with a few things, firstly the tree map. Because it’s not really a tree map. Another thing I am not keen on is the comparison feature in the piece. The user can select up to three types of stores to compare. And while the result works in the line chart—three lines—the bar chart devolves into a near useless component. There is no easy way to compare the actual lengths of the individual bars short of mousing over and scribbling down each individual datapoint. In the particular case here, I likely would have changed from bars to line. Because that way I can compare the actual magnitude of each store type.
The subject matter of this one interested me. I am new to hummus. Well, sort of. I never ate it before moving to Chicago. But when I did, I understood it to be essentially a dip made from chick peas. According to an article from Quartz, It turns out that’s what most Americans believe. Even if they’re not necessarily buying it. Literally (sort of). Because some popular brands contain no chick peas. (Disclosure: I work for the company that provided some of the market sizing data used in the piece.)