andrew_gelman_stats andrew_gelman_stats-2011 andrew_gelman_stats-2011-764 knowledge-graph by maker-knowledge-mining
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Introduction: This is Many Bills , a visualization of US bills by IBM: I learned about it a few days ago from Irene Ros at Foo Camp . It definitely looks better than my own analysis of US Senate bills .
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same-blog 1 1.0 764 andrew gelman stats-2011-06-14-Examining US Legislative process with “Many Bills”
Introduction: This is Many Bills , a visualization of US bills by IBM: I learned about it a few days ago from Irene Ros at Foo Camp . It definitely looks better than my own analysis of US Senate bills .
2 0.19982311 439 andrew gelman stats-2010-11-30-Of psychology research and investment tips
Introduction: A few days after “ Dramatic study shows participants are affected by psychological phenomena from the future ,” (see here ) the British Psychological Society follows up with “ Can psychology help combat pseudoscience? .” Somehow I’m reminded of that bit of financial advice which says, if you want to save some money, your best investment is to pay off your credit card bills.
3 0.12159292 2118 andrew gelman stats-2013-11-30-???
Introduction: I received the following unsolicited email, subject line Technology and Engineering Research: Dear Editor We have done research in some of the cutting edge technology and engineering field and would like to if you will be able to write about it in your news section. Our Primarily research focus on building high performance systems that are helping in social networks, web, finding disease, cancer and sports using BIG DATA . Hope to hear from you some time soon. Thanks, ***, PhD Chartered Scientist IBM Corportation ***@us.ibm.com 916 *** **** I thought IBM was a professional operation—don’t they have their own public relations department?
4 0.11693257 355 andrew gelman stats-2010-10-20-Andy vs. the Ideal Point Model of Voting
Introduction: Last week, as I walked into Andrew’s office for a meeting, he was formulating some misgivings about applying an ideal-point model to budgetary bills in the U.S. Senate. Andrew didn’t like that the model of a senator’s position was an indifference point rather than at their optimal point, and that the effect of moving away from a position was automatically modeled as increasing in one direction and decreasing in the other. Executive Summary The monotonicity of inverse logit entails that the expected vote for a bill among any fixed collection of senators’ ideal points is monotonically increasing (or decreasing) with the bill’s position, with direction determined by the outcome coding. The Ideal-Point Model The ideal-point model’s easy to write down, but hard to reason about because of all the polarity shifting going on. To recapitulate from Gelman and Hill’s Regression book (p. 317), using the U.S. Senate instead of the Supreme Court, and ignoring the dis
5 0.11433092 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: This is Many Bills , a visualization of US bills by IBM: I learned about it a few days ago from Irene Ros at Foo Camp . It definitely looks better than my own analysis of US Senate bills .
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Introduction: A great new blog-class by Shawn Allen at Data Visualization , assembling all the good stuff in one place.
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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 0.59143913 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.
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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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Introduction: This is Many Bills , a visualization of US bills by IBM: I learned about it a few days ago from Irene Ros at Foo Camp . It definitely looks better than my own analysis of US Senate bills .
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Introduction: I received the following bizarre email: Apr 26, 2013 Dear Andrew Gelman You are receiving this notice because you have published a paper with the American Journal of Public Health within the last few years. Currently, content on the Journal is closed access for the first 2 years after publication, and then freely accessible thereafter. On June 1, 2013, the Journal will be extending its closed-access window from 2 years to 10 years. Extending this window will close public access to your article via the Journal web portal, but public access will still be available via the National Institutes of Health PubMedCentral web portal. If you would like to make your article available to the public for free on the Journal web portal, we are extending this limited time offer of open access at a steeply discounted rate of $1,000 per article. If interested in purchasing this access, please contact Brian Selzer, Publications Editor, at brian.selzer@apha.org Additionally, you may purchas
3 0.62971121 651 andrew gelman stats-2011-04-06-My talk at Northwestern University tomorrow (Thursday)
Introduction: Of Beauty, Sex, and Power: Statistical Challenges in Estimating Small Effects. At the Institute of Policy Research, Thurs 7 Apr 2011, 3.30pm . Regular blog readers know all about this topic. ( Here are the slides.) But, rest assured, I don’t just mock. I also offer constructive suggestions. My last talk at Northwestern was fifteen years ago. Actually, I gave two lectures then, in the process of being turned down for a job enjoying their chilly Midwestern hospitality. P.S. I searched on the web and also found this announcement which gives the wrong title.
4 0.58925354 1687 andrew gelman stats-2013-01-21-Workshop on science communication for graduate students
Introduction: Nathan Sanders writes: Applications are now open for the Communicating Science 2013 workshop (http://workshop.astrobites.com/), to be held in Cambridge, MA on June 13-15th, 2013. Graduate students at US institutions in all fields of science and engineering are encouraged to apply – funding is available for travel expenses and accommodations. The application can be found here: http://workshop.astrobites.org/application Participants will build the communication skills that technical professionals need to express complex ideas to their peers, experts in other fields, and the general public. There will be panel discussions on the following topics: * Engaging Non-Scientific Audiences * Science Writing for a Cause * Communicating Science Through Fiction * Sharing Science with Scientists * The World of Non-Academic Publishing * Communicating using Multimedia and the Web In addition to these discussions, ample time is allotted for interacting with the experts and with att
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Introduction: Mark Blumenthal writes: What do you think about the “random rejection” method used by PPP that was attacked at some length today by a Republican pollster. Our just published post on the debate includes all the details as I know them. The Storify of Martino’s tweets has some additional data tables linked to toward the end. Also, more specifically, setting aside Martino’s suggestion of manipulation (which is also quite possible with post-stratification weights), would the PPP method introduce more potential random error than weighting? From Blumenthal’s blog: B.J. Martino, a senior vice president at the Republican polling firm The Tarrance Group, went on an 30-minute Twitter rant on Tuesday questioning the unorthodox method used by PPP [Public Policy Polling] to select samples and weight data: “Looking at @ppppolls new VA SW. Wondering how many interviews they discarded to get down to 601 completes? Because @ppppolls discards a LOT of interviews. Of 64,811 conducted
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