C’mon. You knew I was not going to let that one slip by.
President Trump, in a meeting with African leaders, twice name-dropped Nambia and in one mention held it up as having a nearly self-sufficient healthcare system. Funny thing to mention as the US is on the brink of eviscerating its healthcare system. But I digress. The point is that when you are speaking to the president of a country, you take a minute to learn how to pronounce the country’s name correctly. Even write it phonetically in the text if you have to. (I’ve done that.) So where is Nambia?
I meant to post this yesterday, but accidentally saved it as a draft. So let’s try this again.
Yesterday the New York Times published a print piece that explored how the Cassidy-Graham bill would change the healthcare system. This would, of course, be another attempt to repeal and replace Obamacare. And like previous efforts, this bill would do real damage to the aim of covering individuals. We know the dollar amounts in terms of changes to aid given to states, but in terms of the numbers of people likely to lose their coverage, that would have to wait for a CBO score.
The graphic makes really nice use of the tall vertical space afforded by two columns. (You can kind of see this too in the online version of the article.) At the beginning of the article, above the title even, are two maps that locate the states with the biggest funding gains and cuts. I wonder if the two maps could have been combined into one or if a small table, like in the online version, would have worked better. The map does not read well in the print version as the non-highlighted states are very faint.
The designer chose to repeatedly use the same chart, but highlight different states based on different conditions. This makes the small multiples that appear below the big version useful despite their small size. Any question about the particular length can be referenced in the big chart at the top.
With the exception of the maps at the top of the piece, this was a great piece that used its space on the page very well.
For years the Rohingya people, largely Muslim, in Burma (also known as Myanmar) have faced persecution from the majority Buddhist Burmese to the point that they are not considered citizens. Over the last several weeks, the Burmese government has reacted to assaults against civil authorities by armed Rohingya groups by burning villages wholesale. Burma denies it, occasionally going so far as to say that the Rohingya have in fact burned their own villages.
The New York Times had an article on the Rohingya crisis, which if it is not already is now perilously close to being ethnic cleansing. Online, an article offered more, comparing satellite views of villages before and after their burning to the ground.
This week global leaders are meeting in New York at the UN General Assembly. Undoubtedly and rightly they should discuss issues like North Korea’s two programmes, one of developing nuclear weapons and the other of developing intercontinental ballistic missiles. But, hopefully they will not be silent on this issue.
Credit for the piece goes to Sergio Peçanha and Jeremy White.
Today’s post is a sad post, hence why I did not run with it on Friday. But on Friday, we bid adieu to the little space probe that could, Cassini. This piece is not terribly heavy on the information design, but it does include one diagram—so it counts.
The BBC put together a piece reflecting on the Cassini mission, including its little lander Huygens. If you, like your author, are interested in space-y things, this article is worth the read.
One of the stories I am interested to work on visualising in that mythical land of free time is a comparison of potential host cities for Amazon’s recently announced HQ2, a second corporate headquarters. In the meantime, I read this piece from the Times that attempted to decide for them.
I have some qualms with it, first that it excludes other North American cities—I would not be surprised to see Toronto win the headquarters. I have doubts that Mexico City would work, but it is possible. But my biggest problems are with the exclusionary nature of the selection. That is, within this set, cities that have x. Of the cities that have x, the cities that have y, and so on and so forth.
Personally I suspect Amazon will be looking at which cities not only fit the most requirements, but also which cities will ultimately give them the best business deal. And that I think is a very difficult to describe category.
But it is fun to try.
Credit for the piece goes to Emily Badger, Quoctrung Bui, and Claire Cain Miller.
Your author is on holiday today and is actually writing today’s post on a Thursday night train to Boston. But by the time he returns late Sunday night—a Monday morning post is not guaranteed—Hurricane Irma will have likely made landfall somewhere along the Florida coast.
Thursday the Guardian published a nice article looking at the potential tracks for Irma. And while the specific routes will certainly be amended and updated over the weekend, the article is worth looking at prior to Irma’s arrival at Florida. As of my writing the track has shifted ever slightly westward and the current predicted path looks for Irma to land south and west of Miami. Ergo this screenshot is already a little outdated.
The remarkable thing about this graphic, which is just a cleaner version of the standard meteorological maps through more a more considered palette, is that there is not just one path of winds, but three. Following quickly on the heels of Irma are Katia and Jose, the latter the one taking the nearly same path as Irma while Katia spins towards Mexico.
But the graphic I really wanted to look at is the one ending the piece.
This looks at the countries in Irma’s path as of Thursday morning. What I do not understand is the vertical axis of the bars. What does the height represent? To simply show the rank of countries able to cope with natural disasters, a more straight-forward table could have been used. A dot plot would also make some sense, but again, it would require an understanding of the underlying metrics driving the chart.
The graphic is saved by the annotations, in particular the more/less vulnerable directional arrows. Because I do not understand why countries are grouped into the particular buckets, I find the coloured bins out of place.
I think the concept of showing the most vulnerable countries is terribly important, however, the graphic itself needed a little more thought to be a little more clear in presenting the concept.
Credit for the piece goes to the Guardian graphics department.
Irma swept the northern coast of Puerto Rico last night after devastating some of the Leeward Islands. What’s next? Well after the Turks and Caicos, Cuba, and the Bahamas we are probably looking at a Florida landfall. (Though in the last 24 hours the track has shifted ever eastward so Tampa Bay looks fine from a direct impact standpoint.)
Harvey was an exception in many ways because most deaths occur not from rainfall flooding, but from the storm surge. Basically a massive wave of water driven by low pressure and strong winds that is literally pushed ashore.
Now even though I just said that, I wanted to talk about the winds for a second. Why? Well it turns out that at 185mph, Irma has some of the strongest sustained winds ever recorded for an Atlantic hurricane. And 185mph winds, they can do quite a bit of damage. How much? Well for that we turn to this illustration from Vox.
Assuming the worst case scenario and Irma would strike just southwest of Miami, say Homestead or Key Largo, 185mph winds could do some damage to non-hurricane-safe buildings in a very large American city. And then there is the storm surge, which could be problematic for a city that is already struggling with rising tides. (Thanks, climate change.) The reason I say worst case is southwest of Miami is because hurricanes do most of the their damage—though certainly far from all of it—on their righthand side, which in a northward moving storm would be the eastern half.
The rest of the Vox piece does a nice job explaining Irma, its historic nature, and how it could be so dangerous. Worth a quick read, unless you live in Florida and then you should probably be packing up to evacuate.
About a year ago Pro Publica and the Texas Tribune published a piece that documented the calamity of a hurricane striking and flooding the city of Houston. It proved rather prescient a week or so ago.
So a little over a month ago the Washington Post published an article about the catastrophe that could await Tampa Bay if a major hurricane were to strike the area. I read it, enjoyed it, and found it informative, but opted not to share it with all of you.
Well now we have Hurricane Irma barrelling towards Florida after it struck the Leeward Islands this morning. So today felt like a decent day to share the story.
Credit for the piece goes to Darryl Fears, Zoeann Murphy, Kolin Pope, Denise Lu, and Danielle Rindler.
So I thought I would be done with Harvey coverage, but this morning I saw this map from the New York Times that plotted out requests for aid throughout the storm.
You can really see the storm’s movement through the impacts upon the people. It’s especially true later in the timeline as the storm moved further to the east.
Credit for the piece goes to Gregor Aisch, Sarah Almukhtar, Jeremy Ashkenas, Matthew Bloch, Audrey Carlsen, Jose A. Delreal, Ford Fessenden, K.K. Rebecca Lai, Adam Pearce, Anjali Singhvi, and Karen Yourish.
One more day of Harvey-related content. At least I hope. (Who knows? Maybe someone will design a fantastic retrospective graphic?) Today, however, we look at a piece from the Economist about the rising number of weather-related disasters, but thankfully falling numbers of deaths. The piece has all the full suite of graphics: choropleths, line charts, and bar charts (oh my!). But I want to look at the bar chart.
I cannot tell from this chart whether there has been any change in the individual elements, the meteorological, hydrological, or climatological disasters. And unfortunately stacked bar charts do not let us see that kind of detail. They only really allow us to see total magnitude and the changes in the element at the bottom of the stack, i.e. aligned with the baseline. So I took their chart and drew the shapes as lines and realigned everything to get this.
You can begin to see that meteorological might be overtaking hydrological, but it is too early to tell. And that right now, climatological causes are still far behind the other two.
Credit for the piece goes to the Economist Data Team.