The United States of America consists of 50 states and hundreds of cities. In Sunday’s edition of the New York Times Parag Khanna argued for the switch of priority away from the state-level and to effectively the city-level. We have clusters of cities that dominate and drive the national economy.
The classic case-in-point is Bowash, the megapolis of interconnected cities from Boston to Washington, where there is a plan to extend Baltimore’s MARC public transit train to Wilmington, Delaware. If that were to happen, one could take public transit from the northern suburbs of New York City to Washington through Trenton, Philadelphia, Wilmington, and Baltimore. But today, those decisions must be taken as many as six different states. What if it were handled by a single, regional body?
The above map looks at what a New America could look like, as grouped into seven different regions and their urban clusters.
Credit for the piece goes to the New York Times graphics department.
At least relatively speaking. Today’s post is a Bloomberg article comprised primarily of charts with pithy titles summarising the data story. If listicle is a word for articles consisting of the Top-10 things about [whatever], do we start embracing charticle as the word for chart-driven stories? Even if we do, we should take note that this piece was not the work of one person, but four.
The story captures my attention to and dovetails nicely into yesterday’s piece about a possible electoral path for Donald Trump to take the White House later this autumn.
Bonus points for the responsive nature of the post.
Credit for the piece goes to Andre Tartar, Mira Rojanasakul, Jeremy Diamond, and John Fraher.
Alas, these are not the fun type of parties, but the two main US political ones. But overall, before some more primary and caucus votes tomorrow, I think this Wall Street Journal piece nicely captures and illustrates the changes in and the differences between the bases of the two parties.
Credit for the piece goes to the Wall Street Journal graphics department.
We hear ever more about the Zika virus that currently plagues South America. But the fact is that the mosquito that carries it could inhabit some regions of the United States as well as the South American tropics. Over at the Daily Viz, there was an article about just what the potential numbers could be.
The piece is a nice reminder that not every important story needs a super-complicated graphic. It just needs a clean, clear, and concise graphic. The threat here is to parts of the American south. But, as yesterday’s post showed, ever more people are moving there and so that puts roughly 80 million Americans in harm’s way.
Also, another validation of my dislike of warm weather.
Sorry for the two-week absence, everybody. I travelled to the UK for work and then stayed there and Ireland on holiday. But I have returned, but with the inevitable jet lag waking me up early this morning, I had no reason not to post something.
Late last year, the Washington Post published a small article examining trends in US migration data. The crux of the article? During the recession, people stopped moving from the Northeast and Midwest to the Sunbelt. (I was a rare exception heading from the Northeast to the Midwest.) But, now that the economy is not so sluggish, that movement of people has resumed. Naturally, there are charts to go alongside it.
I selected the above because while generally fine, I quibble with one design decision. In the locator map in the upper right, take the South, which is coloured dark green for a winner in the game of migration. However, in another map earlier in the piece, Mississippi, Alabama, Louisiana are all losing people. I likely would have left the white states lines off the map. Or reused the same earlier map, but with a thicker stroke to indicate the US Census Bureau regions.
Today we look at a really nice piece from the Washington Post on urban homicide. It combines big, full-width images that use interactivity to promote exploration of data. But as you can see in the screenshot below, the designers took care to highlight a few key stories. Just in case the reader does not want to take the time to explore the data set.
But the piece uses scale to provide contrast throughout the article. Because in addition to the three or four big graphics, a similarly well-thought-out and well-designed approach was taken towards smaller, inline supplemental graphics. Here is an example about the homicide rate for New York.
What I really enjoy about these small graphics is the attention paid to highlighting New York against the background averages provided for context. Note how the orange line for the city breaks the grey lines. It is a very nice detail.
Overall, this is a really strong piece marrying written content and data visualisation.
Yesterday we looked at the Economist’s work on breaking down the Sunni and Shia split throughout the Middle East. Let’s take a look at that again today, especially since the world’s largest Muslim nation dealt with a terror attack overnight. That’s right, Indonesia is actually the world’s largest Muslim country and it is also largely secular in nature. But, back to the Middle East where the New York Times put together an article exploring the two power blocs and the religious affiliations within.
The map provides a bit more detail on a few different sects that are relevant, especially the Wahhabists in Saudi Arabia.
Credit for the piece goes to Sarah Almukhtar, Sergio Peçanha, and Tim Wallace.
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.
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.