Turning away from selfies and returning to the upbeat world of the Middle East, today we look at a graphic from the Economist that breaks down the Middle East into the Sunni and Shia sects. See anything that looks familiar? Do you know how Saudi Arabia and Iran are feuding at the moment? Well, take a look at the predominant sect in each country.
Credit for the piece goes to the Economist’s Data Team.
New year, new selfies. Thankfully we have the Selfiecity to look at a sample of selfies, the goal to determine patterns and trends in the art of the selfie. Of course you also want to be able to look at the aforementioned selfies. For that they built the Selfiexploratory, an application that allows you to filter the set to see what you want. What I like is the return of data to show what the results of the filter look like against the whole set.
Credit for the piece goes to the Selfiecity team.
Today we are looking at a smaller piece from the Washington Post. The graphic fits within an article about US stock prices. What the graphic does is show the total scale, i.e. starting the chart on the 0 axis, and then showing in detail the fluctuations near the maximum end of the scale. And yet all of this done as an inset graphic. It need not be a full-width graphic, because the data does not demand it.
Credit for the piece goes to the Washington Post graphics department.
Sorry for not writing the last few weeks, but I was on a much needed holiday. But I’m back now. And first things first, one of my good mates got engaged whilst I was back in Philadelphia. And so in honour of that we have today’s piece.
As the graphic might hint, it’s about marriage. The piece dates from September of last year—2015 and I think I will have to get used to that for a few weeks—and looks at the demographics of marriage mostly in the United States. The chart above in particular looks at men that are married at every age by year, i.e. how many men aged 30 were married in 1960 versus 2013.
Credit for the piece goes to Mona Chalabi.
The news this morning carried the latest polling data out of Iowa for the Republicans. And in that state, Ted Cruz now polls above Donald Trump. And so I wanted to share this post from the Economist last week that looks at how Trump rises every time he says something ridiculous. Could it just be that we should expect even more ridiculous this week?
Credit for the piece goes to the Economist’s Data Team.
A week on from the San Bernadino shootings, I want to touch on the frequency of mass shootings in the United States. This chart from the Washington Post’s blog Wonkblog looks at when mass shootings occurred in the States. And as of 2 December, 355 shootings in 336 days. That’s more than one mass shooting per day. Clearly the only logical solution is to give Americans more guns.
Credit for the piece goes to Wonkblog.
We go from one crisis to another, as we go back to Syria. This piece from Bloomberg is very nicely designed and is almost entirely in black and white. We often think that because computer, everything needs to be in a rainbow of shiny, shiny colours. But here we have places where the designers smartly used patterns and smart labelling to avoid the need for colour.
Credit for the piece goes to Cindy Hoffman, Dave Merrill, Chris Nosenzo, Mira Rojanasakul, and Blacki Migliozzi.
So yesterday we reimagined a less-than-stellar BBC chart. Today, we look at a good chart from the BBC about climate change, timed to coincide with the start of the Paris climate talks. This comes from an article with six charts related to climate change, but it is the best in my mind.
Nothing but nice design here with the use of colour to highlight the top ten hottest and coldest years over the last 225+ years. But it really comes alive when animated and tells the story how those coldest years occurred at the beginning of the set and the hottest are among the most recent years.
Credit for the piece goes to Emily Maguire, Tom Nurse, Steven Connor, and Punit Shah.
I know, I know. You probably expect some sort of climate post given the whole Paris thing. But instead, this morning I came across an article where the supporting chart failed to tell the story. So today we redesign it.
The BBC has an article about MPs backing a tax on sugary drinks. Within the text is a graphic showing the relative importance of sugary drinks in the sugar consumption of various demographics. Except the first thing I see is alcohol—not the focus of the article. Then I focus on a series of numbers spinning around donuts, which are obviously sugary and bad. Eventually I connect the bright yellow to soda. Alas, bright yellow is a very light colour and fails to hold its own on the page. It falls behind everything but milk products.
So here is 15 minutes spent on a new version. Gone are the donuts, replaced by a heat map. I kept the sort of the legend for my vertical because it placed soda at the top. I ran the demographic types horizontally. The big difference here is that I am immediately drawn to the top of the chart. So yeah, soda is a problem. But so are cakes and jams, you British senior citizens. Importantly, I am less drawn to alcohol, which in terms of sugars, is not a concern.
Credit for the original goes to the BBC graphics department. The other one is mine.
Well, today is Black Friday. And so there were probably lines at the door of your local department store at the wee early hours of the morning. But I was working, and partly to bring you this. Google has data on what each state searches for the most. And Vox turned that into a map. Turns out a lot of you want boots.
Credit for the piece goes to Javier Zarracina.
