andrew_gelman_stats andrew_gelman_stats-2013 andrew_gelman_stats-2013-1689 knowledge-graph by maker-knowledge-mining
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Introduction: Kenny Shirley sends along this interactive data visualization : What I learned from this was that Jim Rice is in the Hall of Fame! I remember watching him play. Whenever he struck out with a man on first base, we were just so relieved that he hadn’t hit into a double play.
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1 Kenny Shirley sends along this interactive data visualization : What I learned from this was that Jim Rice is in the Hall of Fame! [sent-1, score-0.878]
2 Whenever he struck out with a man on first base, we were just so relieved that he hadn’t hit into a double play. [sent-3, score-1.154]
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same-blog 1 1.0 1689 andrew gelman stats-2013-01-23-MLB Hall of Fame Voting Trajectories
Introduction: Kenny Shirley sends along this interactive data visualization : What I learned from this was that Jim Rice is in the Hall of Fame! I remember watching him play. Whenever he struck out with a man on first base, we were just so relieved that he hadn’t hit into a double play.
2 0.1260246 794 andrew gelman stats-2011-07-09-The quest for the holy graph
Introduction: Eytan Adar writes: I was just going through the latest draft of your paper with Anthony Unwin . I heard part of it at the talk you gave (remotely) here at UMich. I’m curious about your discussion of the Baby Name Voyager . The tool in itself is simple, attractive, and useful. No argument from me there. It’s an awesome demonstration of how subtle interactions can be very helpful (click and it zooms, type and it filters… falls perfectly into the Shneiderman visualization mantra). It satisfies a very common use case: finding appropriate names for children. That said, I can’t help but feeling that what you are really excited about is the very static analysis on last letters (you spend most of your time on this). This analysis, incidentally, is not possible to infer from the interactive application (which doesn’t support this type of filtering and pivoting). In a sense, the two visualizations don’t have anything to do with each other (other than a shared context/dataset).
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Introduction: Xian sends along this link that might be of interest to some of you.
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Introduction: Kansas Man Does Not Win Lottery, Is Struck By Lightning . Finally, a story that gets the probabilities right.
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Introduction: I stumbled across a chart that’s in my opinion the best way to express a comparison of quantities through time: It compares the new PC companies, such as Apple, to traditional PC companies like IBM and Compaq, but on the same scale. If you’d like to see how iPads and other novelties compare, see here . I’ve tried to use the same type of visualization in my old work on legal data visualization . It comes from a new market research firm Asymco that also produced a very clean income vs expenses visualization (click to enlarge): While the first figure is pure perfection, Tufte purists might find the second one too colorful. But to a busy person, color helps tell things apart: when I know that pink means interest, it takes a fraction of the second to assess the situation. We live in 2012, not in 1712 to have to think black and white. Finally, they have a few other interesting uses of interactive visualization, such as cellular-broadband infrastructure around
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same-blog 1 0.92974728 1689 andrew gelman stats-2013-01-23-MLB Hall of Fame Voting Trajectories
Introduction: Kenny Shirley sends along this interactive data visualization : What I learned from this was that Jim Rice is in the Hall of Fame! I remember watching him play. Whenever he struck out with a man on first base, we were just so relieved that he hadn’t hit into a double play.
2 0.64524782 599 andrew gelman stats-2011-03-03-Two interesting posts elsewhere on graphics
Introduction: Have data graphics progressed in the last century? The first addresses familiar subjects to readers of the blog, with some nice examples of where infographics emphasize the obvious, or increase the probability of an incorrect insight. Your Help Needed: the Effect of Aesthetics on Visualization I borrow the term ‘insight’ from the second link, a study by a group of design & software researchers based around a single interactive graphic. This is similar in spirit to Unwin’s ‘caption this graphic’ assignment.
3 0.63753933 794 andrew gelman stats-2011-07-09-The quest for the holy graph
Introduction: Eytan Adar writes: I was just going through the latest draft of your paper with Anthony Unwin . I heard part of it at the talk you gave (remotely) here at UMich. I’m curious about your discussion of the Baby Name Voyager . The tool in itself is simple, attractive, and useful. No argument from me there. It’s an awesome demonstration of how subtle interactions can be very helpful (click and it zooms, type and it filters… falls perfectly into the Shneiderman visualization mantra). It satisfies a very common use case: finding appropriate names for children. That said, I can’t help but feeling that what you are really excited about is the very static analysis on last letters (you spend most of your time on this). This analysis, incidentally, is not possible to infer from the interactive application (which doesn’t support this type of filtering and pivoting). In a sense, the two visualizations don’t have anything to do with each other (other than a shared context/dataset).
4 0.61517942 1125 andrew gelman stats-2012-01-18-Beautiful Line Charts
Introduction: I stumbled across a chart that’s in my opinion the best way to express a comparison of quantities through time: It compares the new PC companies, such as Apple, to traditional PC companies like IBM and Compaq, but on the same scale. If you’d like to see how iPads and other novelties compare, see here . I’ve tried to use the same type of visualization in my old work on legal data visualization . It comes from a new market research firm Asymco that also produced a very clean income vs expenses visualization (click to enlarge): While the first figure is pure perfection, Tufte purists might find the second one too colorful. But to a busy person, color helps tell things apart: when I know that pink means interest, it takes a fraction of the second to assess the situation. We live in 2012, not in 1712 to have to think black and white. Finally, they have a few other interesting uses of interactive visualization, such as cellular-broadband infrastructure around
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Introduction: John Transue sends along a link to this software for extracting data from graphs. I haven’t tried it out but it could be useful to somebody out there?
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same-blog 1 0.92345017 1689 andrew gelman stats-2013-01-23-MLB Hall of Fame Voting Trajectories
Introduction: Kenny Shirley sends along this interactive data visualization : What I learned from this was that Jim Rice is in the Hall of Fame! I remember watching him play. Whenever he struck out with a man on first base, we were just so relieved that he hadn’t hit into a double play.
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Introduction: Can somebody please fix the pdf reader so that it can correctly render “ff” when I cut and paste? This comes up when I’m copying sections of articles on to the blog. Thank you. P.S. I googled “ff pdf” but no help there. P.P.S. It’s a problem with “fi” also. P.P.P.S. Yes, I know about ligatures. But, if you already knew about ligatures, and I already know about ligatures, then presumably the pdf people already know about ligatures too. So why can’t their clever program, which can already find individual f’s, also find the ff’s and separate them? I assume it’s not so simple but I don’t quite understand why not.
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Introduction: À 11h15 au Centre de Mathématiques Appliquées: Peut-on utiliser les méthodes bayésiennes pour résoudre la crise des résultats de la recherche statistiquement significatifs que ne tiennent pas? It’s the usual story: the audience will be technical but with a varying mix of interests, and so what they most wanted to hear was something general and nontechnical. But this work does have connections to more involved research on interactions and weakly informative priors.
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Introduction: Just for fun I thought I’d run a week’s worth of old posts, just some things I came across when searching for various things. Of course I could just post the links right here but instead I’ll repost with my comments on how things have changed in the intervening years. Mon : In the best alternative histories, the real world is what’s ultimately real (from 2005) Tues : Comments on an anti-Bayesian (from 2006) Wed : How Americans vote (from 2012) Thurs : The candy weighing demonstration, or, the unwisdom of crowds (from 2008) Fri : Random matrices in the news (from 2010) Sat : Picking pennies in front of a steamroller: A parable comes to life (from 2011) Sun : Greg Mankiw’s utility function (from 2010)
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Introduction: A few weeks ago I wrote about the importance of demographics in political trends . Today I’d like to show you how demographics help predict financial crises. Here are a few examples of countries with major crises. The working-age population in Japan peaked in the 1995 census . The 1995 Financial Crisis in Japan The working-age USA population growth slows down to unprecedented levels in 2008 (see figure below) Financial crisis of 2007-2010 . (Also, notice previous dips in 2001, 1991 and 1981, and consider the list of recessions .) China’s working-age population, age 15 to 64, has grown continuously. The labor pool will peak in 2015 and then decline. There are more charts in Demography and Growth report by the Reserve Bank of Australia: Wikipedia surveys the causes of the financial crisis, such as “liquidity shortfall in the United States banking system caused by the overvaluation of assets”. Oh my! Slightly better than the usu
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