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Introduction: “Most Popular Infographics you can find around the web” by designer and illustrator Alberto Antoniazzi.


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Introduction: “Most Popular Infographics you can find around the web” by designer and illustrator Alberto Antoniazzi.

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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 0.10098506 1700 andrew gelman stats-2013-01-31-Snotty reviewers

Introduction: I had a submission a couple years ago that was rejected by a journal. One of the reviewers began with the following snotty aside: In this manuscript Gelman and Shalizi (there’s no anonymity here; this thing has been floating around the web for some time) . . . Actually, we posted it on the same day we submitted it to the journal. But double-blindness allowed the reviewer to act as if we had done something wrong! And, even if it had been “floating around the web for some time,” that’s not necessarily a bad thing. Perhaps it just meant that the article had previously been rejected by a bad-attitude reviewer!

4 0.10041238 1614 andrew gelman stats-2012-12-09-The pretty picture is just the beginning of the data exploration. But the pretty picture is a great way to get started. Another example of how a puzzle can make a graph appealing

Introduction: Ben Hyde sends along this appealing image by Michael Paukner, which represents a nearly perfect distillation of “infographics”: Here are some of the comments on the linked page: Rather than redrawing the picture to make the lines more clear, I’d say: leave the graphic as is, and have a link to a set of statistical graphs that show where the different sorts of old trees are and what they look like. Let’s value the above image for its clean look and its clever Christmas-tree design, and once we have it, take advantage of viewers’ interest in the topic to show them more. P.S. See my comment below which I think further illuminates the appeal of this particular tree.

5 0.090244308 847 andrew gelman stats-2011-08-10-Using a “pure infographic” to explore differences between information visualization and statistical graphics

Introduction: Our discussion on data visualization continues. One one side are three statisticians–Antony Unwin, Kaiser Fung, and myself. We have been writing about the different goals served by information visualization and statistical graphics. On the other side are graphics experts (sorry for the imprecision, I don’t know exactly what these people do in their day jobs or how they are trained, and I don’t want to mislabel them) such as Robert Kosara and Jen Lowe , who seem a bit annoyed at how my colleagues and myself seem to follow the Tufte strategy of criticizing what we don’t understand. And on the third side are many (most?) academic statisticians, econometricians, etc., who don’t understand or respect graphs and seem to think of visualization as a toy that is unrelated to serious science or statistics. I’m not so interested in the third group right now–I tried to communicate with them in my big articles from 2003 and 2004 )–but I am concerned that our dialogue with the graphic

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Introduction: “Most Popular Infographics you can find around the web” by designer and illustrator Alberto Antoniazzi.

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Introduction: Our discussion on data visualization continues. One one side are three statisticians–Antony Unwin, Kaiser Fung, and myself. We have been writing about the different goals served by information visualization and statistical graphics. On the other side are graphics experts (sorry for the imprecision, I don’t know exactly what these people do in their day jobs or how they are trained, and I don’t want to mislabel them) such as Robert Kosara and Jen Lowe , who seem a bit annoyed at how my colleagues and myself seem to follow the Tufte strategy of criticizing what we don’t understand. And on the third side are many (most?) academic statisticians, econometricians, etc., who don’t understand or respect graphs and seem to think of visualization as a toy that is unrelated to serious science or statistics. I’m not so interested in the third group right now–I tried to communicate with them in my big articles from 2003 and 2004 )–but I am concerned that our dialogue with the graphic

3 0.61980677 1604 andrew gelman stats-2012-12-04-An epithet I can live with

Introduction: Here . Indeed, I’d much rather be a legend than a myth. I just want to clarify one thing. Walter Hickey writes: [Antony Unwin and Andrew Gelman] collaborated on this presentation where they take a hard look at what’s wrong with the recent trends of data visualization and infographics. The takeaway is that while there have been great leaps in visualization technology, some of the visualizations that have garnered the highest praises have actually been lacking in a number of key areas. Specifically, the pair does a takedown of the top visualizations of 2008 as decided by the popular statistics blog Flowing Data. This is a fair summary, but I want to emphasize that, although our dislike of some award-winning visualizations is central to our argument, it is only the first part of our story. As Antony and I worked more on our paper, and especially after seeing the discussions by Robert Kosara, Stephen Few, Hadley Wickham, and Paul Murrell (all to appear in Journal of Computati

4 0.6187194 1584 andrew gelman stats-2012-11-19-Tradeoffs in information graphics

Introduction: The visual display of quantitative information (to use Edward Tufte’s wonderful term) is a diverse field or set of fields, and its practitioners have different goals. The goals of software designers, applied statisticians, biologists, graphic designers, and journalists (to list just a few of the important creators of data graphics) often overlap—but not completely. One of our aims in writing our article [on Infovis and Statistical Graphics] was to emphasize the diversity of graphical goals, as it seems to us that even experts tend to consider one aspect of a graph and not others. Our main practical suggestion was that, in the internet age, we should not have to choose between attractive graphs and informational graphs: it should be possible to display both, via interactive displays. But to follow this suggestion, one must first accept that not every beautiful graph is informative, and not every informative graph is beautiful. . . . Yes, it can sometimes be possible for a graph to

5 0.60246444 816 andrew gelman stats-2011-07-22-“Information visualization” vs. “Statistical graphics”

Introduction: By now you all must be tired of my one-sided presentations of the differences between infovis and statgraphics (for example, this article with Antony Unwin). Today is something different. Courtesy of Martin Theus, editor of the Statistical Computing and Graphics Newsletter, we have two short articles offering competing perspectives: Robert Kosara writes from an Infovis view: Information visualization is a field that has had trouble defining its boundaries, and that consequently is often misunderstood. It doesn’t help that InfoVis, as it is also known, produces pretty pictures that people like to look at and link to or send around. But InfoVis is more than pretty pictures, and it is more than statistical graphics. The key to understanding InfoVis is to ignore the images for a moment and focus on the part that is often lost: interaction. When we use visualization tools, we don’t just create one image or one kind of visualization. In fact, most people would argue that there is

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