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.
By the time this post goes live, Scotland will have already been voting on independence for several hours. At the time of writing this post, it appears more a toss-up than anything else. And so today we highlight a piece that is a little bit different than what I might normally cover. Here we have a long-form piece from the BBC that looks at how different trends across recent decades of history have converged at this point in time to give Scotland this choice.
Credit for the overall piece goes to Allan Little, Paul Kerley, Finlo Rohler, Jonathan Duffy, Kevin McKeown, Darren McLarkey, Marcelo Zanni, Sally Morales, Giles Wilson, and the opening illustration (the screen capture) is Cognitive Media.
Your humble author has returned to Chicago from several days spent in Boston—among other places. So what better way to follow up on yesterday’s post about prostitution than a small piece from the Boston Globe about the increase in sexually transmitted infections (STIs) in Boston. The cause? Hook-up apps. Because, technology and young people.
Rise in STIs in Boston
Credit for the piece goes to the Boston Globe’s graphics department.
Some of the nation’s fastest growing cities are inland, away from the coast where housing prices are high. To support an article about the demographic shift, the New York Times created this map. Circle size represents growth over a six-year period while the colour of the bubble represents housing prices.
Fastest growing cities
Credit for the piece goes to the New York Times graphics department.
Maybe? But thanks to Pew Research, you can see if we align politically. Today’s post comes via Pete, a coworker of mine, and it is basically a survey that works by asking you 23 political questions on topics from big/small government, immigration, climate change, gay rights, defence spending, &c. They crunch some numbers and spit you out on a results page, the image below a crop from the results for your humble author. (For better or worse revealing my political leanings.)
From a survey standpoint, I found it interesting the questions presented only binary responses. In general, I found that I never agreed with either statement entirely and was forced to choose the “closest” response. Since I never see myself on the conservative side of the spectrum, I was surprised to see my “type”, Young Outsiders, coloured with a tint of red. Regardless, I’m still thankful that according to Pew, I am still more in the centre than on the ends as it makes it a lot easier to compromise. I’ve heard that that is an adult thing to do.
By the way, if you want the results of the full survey upon which this quiz was based, you can check out that site here. It’s full of bar charts for those who like the data visualisation.
Credit for the piece goes to the Pew Research Center.