How Worldly Is the World Series?

The World Series began Tuesday night. But, as many people reading this blog will know, baseball is not exactly a global sport. But is it really? CityLab looked at the origin of Major League Baseball players and it turns out that almost 30% of the players today are from outside the United States. They have a number of charts and graphics that explore the places of birth of ball players. But one of the things I learned is just how many players hail from the Dominican Republic—since 2000, 12% of all players.

There are quite a few players from countries around the Caribbean.
There are quite a few players from countries around the Caribbean.

The choropleth here is an interesting choice. It’s a default choice, so I understand it. But when so many countries that are being highlighted are small islands in the Caribbean, a geographically accurate map might not be the ideal choice. Really, this map highlights from just how few countries MLB ball players originate.

Fortunately the other graphics work really well. We get bar charts about which cities provide MLB rosters. But the one I really enjoy is where they account for the overall size of cities and see which cities, for every 100,000 people, provide the most ballplayers.

One of the other things I want to pick on, however, is the inclusion of Puerto Rico. In the dataset, the designers included it as a foreign country. When, you know, it’s part of the United States.

Credit for the piece goes to David H. Montgomery.

Pub Trivia Scores—The Ryan’s Wedding Version

So another Wednesday, another pub trivia night. But two weekends ago, I attended the wedding of a good mate of mine down in Austin, Texas. And at his rehearsal/welcome dinner, he and his now wife had a trivia game. How well did their guests know them?

Turns out my friends and I, not so much. And I can prove it, because I documented our score after every round in my sketchbook.

Somewhere towards the middle we just started picking the most ridiculous answers.
Somewhere towards the middle we just started picking the most ridiculous answers.

Credit for this one is mine.

Canadian Election Results

Yesterday Canada went to the polls for the 43rd time. Their prime minister, Justin Trudeau, has had a bad run of it the last year or so. He’s had some frivolous scandals with wearing questionable fashion choices to some more serious scandals about how he chose to colour his face in his youth to arguably the most serious scandal where an investigation concluded improperly attempted to influence a criminal investigation for political gain. (Sound familiar, American readers?) Consequently, there was some chatter about whether he would lose to the Conservatives.

But nope, Trudeau held on.

So this morning I charted some of the results. It was a bad night for Trudeau, but not nearly as bad as it could have been. He remains in power, albeit head of a minority government.

That's a steep drop in seats, but it could have been worse
That’s a steep drop in seats, but it could have been worse

Credit for the piece goes to me.

The Vaping Outbreak Spreads

And now with more deaths.

On Friday, Pennsylvania reported its first death from the vaping disease spreading across the country. So I decided I would take a moment to update the map I made a month ago charting the outbreak. Then, the CDC had tallied 450 cases. Now we are at 1080. And whereas last time New England, parts of the deep South, and the Southwest were untouched, now the disease is everywhere but New Hampshire and Alaska.

But we are starting to see a pattern in a clustering of high numbers of cases around Lake Michigan and the Upper Midwest. Though I should point out these bin breakdowns come from the CDC. They did not provide more granular data.

Now with deaths in Pennsylvania.
Now with deaths in Pennsylvania.

Credit for this piece goes to me.

Brexit Crazyness Continues

The British Supreme Court ruled today that Boris Johnson unlawfully advised the Queen to prorogue Parliament. And because the advice was unlawful, the act was therefore unlawful. And because the act was unlawful, the effects of said act were unlawful. And because the effects were unlawful, said effects are null and void. So, you know, prorogation never happened.

So the Prime Minister has misled the Queen. He has failed to pass all but one bill in Parliament (it was a bill for the restoration of the Palace of Westminster totally unrelated to Brexit). He lost three seats, one via a by-election and two by defecting MPs. And then he purged 21 MPs from his party to completely obliterate his working majority. In any other year, this would be cause for the immediate resignation of the Prime Minister. Instead he is sticking around in New York to give a speech about, what else, Brexit, before flying back to London tonight (Eastern US time).

So what’s next? Who really knows. This has never before happened in the history of the United Kingdom. But one possible option is that the opposition parties may hold a no confidence vote. But there will be significant pressure against that, because, as my graphic shows, any election that would likely result, would mean Brexit happening with Parliament dissolved. And that would, ahem, defeat the entire purpose of preventing a No Deal Brexit. Consequently, a no confidence vote or general election is unlikely. (Unless, the opposition and Tory rebels can agree to a non-Jeremy Corbyn caretake prime minister, e.g. Ken Clarke or Margaret Beckett.)

Omnishambles. Even Iannucci couldn't have made this stuff up.
Omnishambles. Even Iannucci couldn’t have made this stuff up.

Regardless, get ready for a crazy day of Parliamentary procedure tomorrow.

Prorogation of Parliament

If you’re among my British/European audience, you are probably well aware Boris Johnson has prorogued, or suspended, Parliament. He and cabinet ministers stated it was a normal, average-length prorogation to prepare for a Queen’s Speech. (The Queen’s Speech is the formal opening of a new session of Parliament that sets out a new legislative agenda and formally closes/kills any unpassed legislation from the old session.) Except that in documents revealed in a Scottish court case, we now know that the real reason was to shut down Parliament to prevent it from interfering in Boris’ plans for a No Deal Brexit. And just this morning the Scottish High Court did indeed rule that the prorogation is illegal. The case now moves to the UK Supreme Court.

But I want to focus on the other claim, that this is a prorogation of average length. Thankfully instead of having to do a week’s hard slog of data, the House of Lords Library posted the data for me. At least since 1900, and that works well enough for me. And so here we go.

Back to the 1930s?
Back to the 1930s?

So yeah, this is not an average prorogument. If you look at only proroguments that do not precede a general election—you need time for the campaigning and then hosting the actual election in those cases—this is the longest prorogument since 1930. (Also, a Parliament does not necessarily need to be prorogued before it is dissolved before an election. And that happened quite often in the 1960s, 70s, and 80s.)

And as I point out in the graphic, Parliament was prorogued during the depths of World War II to start new legislative sessions. But in those cases, Parliament opened the very next day, during a time of national crisis. One could certainly make the argument that Brexit is a national crisis. So wherefore the extraordinarily long prorogument? Well, quite simply, Brexit.

Credit for the piece goes to me.

Greenland Is Melting

There is a lot going on in the world—here’s looking at you Brexit vote today—but I did not want to miss this frightening article from the BBC on the melting of Greenland’s ice. It’s happening. And it’s happening faster than thought.

There are several insightful graphics, including the standard photo slider of before and after, a line chart showing the forecast rise of sea levels within the possible range. But this one caught my eye.

Alarming rates along the coast.
Alarming rates along the coast.

The colour palette here works fairly well. The darkest reds are not matched by a dark blue, but that is because the ice gain does not match the ice loss. Usually we might see a dark blue just to pair with a dark red, but again, we don’t because the designers recognised that, as another chart shows, the ice loss is outweighing the gains, though there are some to be found most notably at the centre of the ice sheets. This is a small detail, but something that struck me as impressive.

My only nitpick is that the legend does not quantify the amounts of gain or loss. That could show the extremes and reinforce the point that the loss is dwarfing the gain.

Credit for the piece goes to the BBC graphics department.

Pub Trivia Scores

So today we have pub trivia scores.

It’s been a little while since I’ve posted from my data recording of my Wednesday night’s team trivia pub scores. For the very few of us who know what this means, here you go.

We're on a downward trend
We’re on a downward trend

Essentially, our ability to score points on music in the last round remains pretty bad. Hence the general downward trend.

Credit for this piece goes to me.

Greenland, the 51st State?

If you haven’t heard, President Trump wants to buy Greenland from Denmark. So is Greenland going to beat Puerto Rico to joining the Union as the 51st state?

No.

Not even close.

It would be the smallest state in terms of population, but also one of the smallest US territories. But in terms of area, Greenland dwarfs every state but Alaska. Though it still beats Alaska by almost 50% of its land area.

It's like a super-charged Seward's Folly
It’s like a super-charged Seward’s Folly

I had hoped to include some more economic data, but that will have to wait for a different post. Acquiring the population data was actually the most difficult—the US Census Bureau does not actually have easy to access data on the populations of US territories not called Puerto Rico.

This piece is mine.

How Warm Will It Get?

In Philadelphia, this summer has been warmer than average. But with most recent years being warmer than average, that might not mean much. However, a valid question is that with climate change, how much warmer will the city get on average? The BBC recently published an article that explored the temperature changes in cities around the world according to several different models for best to worst case scenarios.

The raw data so to speak
The raw data so to speak

It does a nice job via scrolling of showing how the averages work as a rolling average and the increase over time. It runs through each scenario, from best case to worst case, as a dotted line and then plots each in comparison to each other to show the range of possible outcomes.

Ew. Just ew.
Ew. Just ew.

I know that dark or black background is in style for big pieces. But I still do not love them. Thankfully the choice of these two colours work here. The dotted lines also work for showing the projections. And in the intermediate steps, not screencaptured, the previous projections go dark and only the current one is highlighted.

Thankfully the text boxes to the right capture the critical numbers: the actual projection numbers for the monthly average. And they tie them to the lines via the colours used.

Not shown here are a few other elements of the piece. The top of the article starts with a spinning globe that shows how the average temperature across the globe has already changed. Spoiler: not well. While the spinning globe adds some interactivity to the article, it by definition cannot display the entire world all at once, like flat, two-dimensional projections do. This makes it difficult to see impacts across the globe simultaneously. A more standard projection map could have worked really well.

Lastly, the article closes with a few stories about specific locations and how these temperature increases will impact them. These use more illustrations and text. The exception, however, is a graphic of the Arctic that shows how summer sea ice coverage has collapsed over the last few decades.

Overall this is a strong piece that shows some global impacts while allowing the user to dive down into the more granular data and see the impact on some of the world’s largest cities.

Credit for the piece goes to BBC Visual and Data Journalism team.