To continue with the sports theme from yesterday, today we have an interactive map from Twitter that looks at NFL team popularity. The methodology is simple, where are the users following the various football teams and map that out by county. The overall blog post features a country-wide map, but then narrows down into a few particular stories. The image below is from the divide in the state of Pennsylvania between Eagles fans and Steelers fans.
Philly vs. Pittsburgh
Credit for the piece goes to Simon Rogers and Krist Wongsuphasawat.
A couple of weeks ago I shared a map from the New York Times that looked at American college football programme loyalty. And I quipped that none of it made sense to me as someone born and raised in the Northeast. The New York Times followed that piece up with another that looks solely at Facebook likes of college football via likes for any team. Not surprisingly the sport does not do too well in the Northeast. But it does appear quite popular in other regions of the country.
Chester County is not big on it…
Credit for the piece goes to Neil Irwin and Kevin Quealy.
The United States and its allies are slowly beginning to pull out of Afghanistan. While several thousand troops will remain, the total will be nowhere near the peak figure a few years ago. This graphic from the Washington Post details just how this transition has been occurring.
Yesterday marked the 25th anniversary of the fall of the Berlin Wall. But with the reunification of Germany a year later, has the former East Germany been able to catch up to what was West Germany? The Economist looks at the results in this graphic and the answer is yes. And no.
East vs. West. 1989 vs. 2013.
Credit for the piece goes to the Economist’s graphics department.
American college football. This is not a thing that Northeasters like myself understand. And it is not just because yours truly attended the University of the Arts whose only competitive sporting team was, I believe, fencing. Here in the Midwest, many things are strange and alien. One of them is their affinity for said sports that do not make sense. Thankfully the New York Times has attempted to explain specific programme affinities much like they did with their baseball map. (Which made infinitely more sense.)
Click the big map at the article’s beginning to get to the interactive version
Credit for the piece goes to Tom Giratikanon, Josh Katz, David Leonhardt, Kevin Quealy, and Marc Tracy.
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.
Credit for the piece goes to the New York Times’ graphics department.
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?
I have been fairly out of the loop of the news the last few weeks, but I did at least catch one of the headlines: gay marriage in the States is more legal than ever. Between Supreme Court stays and Appeals Court rulings, gay marriage is now legal in more than 50% of the country—at least by number of states. The Wall Street Journal does a nice job in this static graphic showing just how far equality has come.
Places need young people to support old people. A gross oversimplification, I admit, but a good basic principle. This piece in the Washington Post looks at that shifting balance across the United States. This map and the others supporting it show which areas of the country may have problems in the years to come, especially if they cannot grow their youth population.