Tag Archives: infographic

Some of the Best Baseball I’ve Ever Seen

Was ten years ago this time in October. Boston was on their way to winning their World Series in 86 years. But to get there, they had to go through the New York Yankees. And they did it in dramatic fashion, winning a riveting best-of-seven series. Why riveting? Because it had never been done before. (Nor since, actually, but that’s not included in the graphic.)

The improbable comeback

The improbable comeback

An Ebola Treatment Centre

Last week we looked at the BBC and its rendition of an Ebola treatment centre. This week we are looking at the Washington Post and how they treated the same material. As you can imagine, with the same source material, the treatment is fairly similar. I do appreciate the colour applied to the various elements called out in the illustration. Though, to be super nitpick-y, I could probably do less orange with the fence. It becomes a bit distracting from some of the other details.

An Ebola treatment centre

An Ebola treatment centre

Credit for the piece goes to Patterson Clark.

How Ebola Works/Kills

To continue with this week’s theme of Ebola, we are looking at another Washington Post article. Online the Post presents it as an interactive, guided explanation of how Ebola basically kills people. Spoiler, it is not pretty. But what I do really like about this online presentation is how the Post has a downloadable .pdf version of the piece available.

How Ebola works

How Ebola works

Credit for the piece goes to Patterson Clark, Darla Cameron, and Sohail Al-Jamea.

Ebola vs Other Infectious Diseases

Yesterday we looked at the New York Times’s reporting of some basic facts about Ebola. Today to continue along the refutation of scaremongering path, we have an article from the Washington Post. I understand that people are afraid of Ebola, because if you catch it, you have a good chance you are going to die. The current strain for the outbreak in West Africa is about 50%. But, you are far more likely to catch less-deadly disease. Like the flu.

Comparing modelled outbreaks

Comparing modelled outbreaks

Credit for the piece goes to Bonnie Berkowitz and Lazaro Gamio.

The Swedish Submarine Hunt

Today you are going to get two posts. The first is this, which is a break from the week’s theme. But news stories happen. The second will be back to regular programming at the regular time. Basically, the Swedish government is reporting that a foreign submarine is operating within its waters and the available evidence points to Russia. I have seen some ridiculous claims that one of Russia’s largest submarines is in trouble there. But I highly doubt that. And here is why.

A look at Sweden's submarine hunt

A look at Sweden’s submarine hunt

Ebola

I really enjoy reading articles where graphics accompany the text and not just for the want of graphics. While the Ebola outbreak in West Africa is tragic, the data allows for some nice visualisation pieces. Additionally, one could say that the United States is victim to quite a bit of scaremongering as a result of a few isolated cases of Ebola in Dallas, Texas. Spoiler, an Ebola outbreak is not really a threat to the United States or Western Europe. Perhaps to relieve some of said scaremongering, the New York Times has a nice article titled Ebola Facts that outlines just that, the facts about Ebola. And guess what? The article is accompany by a number of useful inline graphics.

Ebola outbreaks

Ebola outbreaks

Credit for the piece goes to the New York Times’ graphics department.

Drinking by Decile

Happy Friday, everybody. I’m looking forward to a pint. But thanks to some research, as an American, I might actually be looking forward to 10 pints if I fall within the highest decile of American drinkers. They imbibe on average over 73 alcoholic drinks per week. Yep, that means over 10 per day. Bottoms up, Merica. The Washington Post brings up the graphic summary of the study.

Drink deciles

Credit for the piece goes to Christopher Ingraham.

Hitting a Baseball

Tonight is Game 5 of the National League Championship Series. For those of you who do not follow baseball, this is the semi-finals for the national championship called the World Series. Anyway, hitting a baseball is hard because you have so little reaction time. The Wall Street Journal has an article about how some baseball teams are beginning to experiment with neuroscience. The idea is to better train hitters to recognise pitches earlier, in essence, giving them said reaction time. The article is accompanied by an illustration showing just how little time there is to hit a pitch.

Think quickly

Think quickly

Credit for the piece goes to Mike Sudal.

Ebola Treatment Centres

Ebola is still a thing. And it is still getting worse. Or rather, with deaths and/or infections in both Europe and the United States, we are finally paying a bit more attention to it. We have no cure for Ebola, but we still need to treat people for symptoms, but most importantly we need to isolate those infected from the broader population. How and where is this done? Thankfully, the BBC put together an interactive graphic illustrating a typical treatment centre. Each main section is a clickable link that explains the functions and key points to the different areas.

A treatment centre

A treatment centre

The article goes on to explain in more detail what is going on and does so with photos and also a map of treatment centres in Guinea, Sierra Leone, and Liberia.

Credit for the piece goes to the BBC graphics department.

Wakey, Wakey

It’s time to get up. Whether or not you hear the explicitly Monday morning or if’s meant by your alarm shouting at you, who really enjoys waking up Monday? A lot of the reluctance to wake up may have to do with when one goes to bed. One of my colleagues sent me a post over on Huffington Post that looks at Jawbone’s data visualisation of bedtimes across America.

Cities stay up late—not surprising. What I do find interesting is that in the rural and suburban, i.e. principally non-major city counties, there seem to be some interesting things going on. In particular, look at the shift in bedtime across the Eastern–Central and Central–Mountain time zones in particular. It’s a pretty clean break. And then within the Central timezone we have another shift. I wonder how much of this has to do with the needs of farming daylight hours. And that because the sun does not really set according to our clocks, the later sunset times in the western portions of timezones shift those bedtimes later. Like I said, interesting.

Then from the data side of things, I wonder if “thousands of users” across the 3000+ counties of the US are distributed sufficiently to achieve meaningful samples in many of those rural/suburban counties. And then what about those who have to work night shifts? How does that impact the data set?

Nighty, night

Nighty, night

Credit for the piece goes to Brian Wilt.