How likely is it that children who grow up in very poor families go to college? How about children who grow up in very rich families? The exercise of the article is a little bit of difficult to do though. You have to draw your line to cover the whole horizontal axis and pass the middle point; otherwise, you cannot move on.
I just saw this new app, Countable, yesterday. It sounds a great idea to use it to connect with our congress and state representatives much easily. The new app only supports federal issues at the moment but will add state issues in the future. You can also volunteer to help, if you are interested. Both Apple and Android are supported. Here are the Cnet article introducing the app.
R is an environment for programming with data, so unless you’re doing a simulation study you’ll need some data to work with. If you don’t have data of your own, the article made a list of open data sets you can use with R to accompany the latest release of Revolution R Open.
Reference: Open data sets you can use with R
Interesting news. This year’s first annual BI Bake-Off at the BI Summit will be in Las Vegas.
Last week, a gossip blog based in the Dominican Republic called Remolacha published a disturbing video of what it said was a “self-parking car accident.” A group of people stand in a garage watching and filming a grey Volvo XC60 that backs up, stops, and then accelerates toward the group. It smashes into two people, and causes the person filming the video with his phone to drop it and run. It is terrifying.
… The main issue, said Larsson, is that it appears that the people who bought this Volvo did not pay for the “Pedestrian detection functionality,” which is a feature that costs more money.
… Keeping the car safe is included as a standard feature, but keeping pedestrians safe isn’t.
If you look at recent polls that focus on programming languages used for data analysis, R often is a clear winner.
Recently, in a series of articles, the semi-satirical journal Proceedings of the Natural Institute of Science conducted a thorough statistical analysis of a very important topic: New Yorker cartoons.
Okay, so the basic idea of analyzing these alternately beloved and mocked cartoons is admittedly a little tongue-in-cheek in the first place.
But Matt J. Michel and the series’ other authors actually looked at real data — they coded every cartoon the magazine published in 2014 — and they came to some pretty depressing findings about the portrayal of nonwhite dudes in one of the country’s most liberal magazines.