andrew_gelman_stats andrew_gelman_stats-2012 andrew_gelman_stats-2012-1487 knowledge-graph by maker-knowledge-mining
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Introduction: Aleks sends along this dynamic graphic from Mike Bostock: I’m not so happy with the arrangement of years by decade—the lineup of all years ending in 0, or 1, or 2, etc., seems a bit of a distraction—but in many ways the display is impressive. And, as often is the case with such graphs, once it’s out there, other people can do similar things and make their own improvements.
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same-blog 1 1.0 1487 andrew gelman stats-2012-09-08-Animated drought maps
Introduction: Aleks sends along this dynamic graphic from Mike Bostock: I’m not so happy with the arrangement of years by decade—the lineup of all years ending in 0, or 1, or 2, etc., seems a bit of a distraction—but in many ways the display is impressive. And, as often is the case with such graphs, once it’s out there, other people can do similar things and make their own improvements.
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Introduction: Aleks pointed me to this .
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Introduction: Aleks sent me this (I’m not sure from where):
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Introduction: I have no idea what this and this are, but Aleks passed these on, and maybe some of you will find them interesting.
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Introduction: Aleks points us to this idea of labeling for news.
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same-blog 1 0.94842416 1487 andrew gelman stats-2012-09-08-Animated drought maps
Introduction: Aleks sends along this dynamic graphic from Mike Bostock: I’m not so happy with the arrangement of years by decade—the lineup of all years ending in 0, or 1, or 2, etc., seems a bit of a distraction—but in many ways the display is impressive. And, as often is the case with such graphs, once it’s out there, other people can do similar things and make their own improvements.
2 0.85847008 1064 andrew gelman stats-2011-12-16-The benefit of the continuous color scale
Introduction: Aleks sends in this item from Gabriel Florit on choropleth classification systems. Oddly enough, Malecki and I were just talking about color mapping schemes earlier today.
3 0.77101266 1152 andrew gelman stats-2012-02-03-Web equation
Introduction: Aleks sends along this app which, while cute, is not quite “killer” for me. I find it more difficult to write the equation using the trackpad than to simply type it in using Latex! But I suppose it could be useful to beginners who want their papers to look more like science .
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Introduction: Aleks pointed me to this .
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Introduction: Aleks sent me this (I’m not sure from where):
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1 0.99123597 572 andrew gelman stats-2011-02-14-Desecration of valuable real estate
Introduction: Malecki asks: Is this the worst infographic ever to appear in NYT? USA Today is not something to aspire to. To connect to some of our recent themes , I agree this is a pretty horrible data display. But it’s not bad as a series of images. Considering the competition to be a cartoon or series of photos, these images aren’t so bad. One issue, I think, is that designers get credit for creativity and originality (unusual color combinations! Histogram bars shaped like mosques!) , which is often the opposite of what we want in a clear graph. It’s Martin Amis vs. George Orwell all over again.
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Introduction: Cathy O’Neil organized this visualization project with NYPD stop-and-frisk data. It’s part of the Data Without Borders project. Unfortunately, because of legal restrictions I couldn’t send them the data Jeff, Alex, and I used in our project several years ago.
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Introduction: Jonathan Cantor points to this poll estimating rifle-armed QB Tim Tebow as America’s favorite pro athlete: In an ESPN survey of 1,502 Americans age 12 or older, three percent identified Tebow as their favorite professional athlete. Tebow finished in front of Kobe Bryant (2 percent), Aaron Rodgers (1.9 percent), Peyton Manning (1.8 percent), and Tom Brady (1.5 percent). Amusing. What this survey says to me is that there are no super-popular athletes who are active in America today. Which actually sounds about right. No Tiger Woods, no Magic Johnson, Muhammed Ali, John Elway, Pete Rose, Billie Jean King, etc etc. Tebow is an amusing choice, people might as well pick him now while he’s still on top. As a sports celeb, he’s like Bill Lee or the Refrigerator: colorful and a solid pro athlete, but no superstar. When you think about all the colorful superstar athletes of times gone by, it’s perhaps surprising that there’s nobody out there right now to play the role. I supp
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Introduction: I checked and somebody went in and screwed up my fixes to the wikipedia page on Bayesian inference. I give up.
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Introduction: Tyler Cowen links a blog by Samuel Arbesman mocking people who are so lazy that they take the elevator from 1 to 2. This reminds me of my own annoyance about a guy who worked in my building and did not take the elevator. (For the full story, go here and search on “elevator.”)
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