Posts Tagged ‘ Statistical Graphics ’

I love it when I can respond to a question with a single link

October 29, 2014
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Shira writes: This came up from trying to help a colleague of mine at Human Rights Watch. He has several completely observed variables X, and a variable with 29% missing, Y. He wants a histogram (and other descriptive statistics) of a “filled in” Y. He can regress Y on X, and impute missing Y’s from […] The post I love it when I can respond to a question with a…

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2 on chess

October 27, 2014
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2 on chess

Is it really “often easier to win a rematch than to defend a championship”? The quoted bit above comes from Tyler Cowen, writing about the Anand/Carlsen world championship rematch. I’m still not used to the idea of a new world championship match every year but I guess why not? Anyway, here’s my question. Tyler Cowen […] The post 2 on chess appeared first on Statistical Modeling, Causal Inference, and Social…

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Video: Using heat maps to visualize matrices

October 27, 2014
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Video: Using heat maps to visualize matrices

One of my presentations at SAS Global Forum 2014 was about the new heat map functions in SAS/IML 13.1. Over the summer I created a short video of my presentation, which gives an overview of visualizing matrices with heat maps, and describes how to choose colors for heat maps: If […]

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Try a spaghetti plot

October 21, 2014
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Try a spaghetti plot

Joe Simmons writes: I asked MTurk NFL fans to consider an NFL game in which the favorite was expected to beat the underdog by 7 points in a full-length game. I elicited their beliefs about sample size in a few different ways (materials .pdf; data .xls). Some were asked to give the probability that the better […] The post Try a spaghetti plot appeared first on Statistical Modeling, Causal Inference, and…

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Statistical Communication and Graphics Manifesto

October 15, 2014
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Statistical Communication and Graphics Manifesto

Statistical communication includes graphing data and fitted models, programming, writing for specialized and general audiences, lecturing, working with students, and combining words and pictures in different ways. The common theme of all these interactions is that we need to consider our statistical tools in the context of our goals. Communication is not just about conveying […] The post Statistical Communication and Graphics Manifesto appeared first on Statistical Modeling, Causal Inference,…

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My course on Statistical Communication and Graphics

October 15, 2014
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My course on Statistical Communication and Graphics

We will study and practice many different aspects of statistical communication, including graphing data and fitted models, programming in Rrrrrrrr, writing for specialized and general audiences, lecturing, working with students and colleagues, and combining words and pictures in different ways. You learn by doing: each week we have two classes that are full of student […] The post My course on Statistical Communication and Graphics appeared first on Statistical Modeling,…

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How to choose colors for maps and heat maps

October 1, 2014
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How to choose colors for maps and heat maps

Have you ever looked as a statistical graph that uses bright garish colors and thought, "Why in the world did that guy choose those awful colors?" Don't be "that guy"! Your choice of colors for a graph can make a huge difference in how well your visualization is perceived by […]

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Create discrete heat maps in SAS/IML

September 29, 2014
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Create discrete heat maps in SAS/IML

In a previous article I introduced the HEATMAPCONT subroutine in SAS/IML 13.1, which makes it easy to visualize matrices by using heat maps with continuous color ramps. This article introduces a companion subroutine. The HEATMAPDISC subroutine, which also requires SAS/IML 13.1, is designed to visualize matrices that have a small […]

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Designing a quantile bin plot

September 24, 2014
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Designing a quantile bin plot

While at JSM 2014 in Boston, a statistician asked me whether it was possible to create a "customized bin plot" in SAS. When I asked for more information, she told me that she has a large data set. She wants to visualize the data, but a scatter plot is not […]

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What does CNN have in common with Carmen Reinhart, Kenneth Rogoff, and Richard Tol: They all made foolish, embarrassing errors that would never have happened had they been using R Markdown

September 19, 2014
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What does CNN have in common with Carmen Reinhart, Kenneth Rogoff, and Richard Tol:  They all made foolish, embarrassing errors that would never have happened had they been using R Markdown

Rachel Cunliffe shares this delight: Had the CNN team used an integrated statistical analysis and display system such as R Markdown, nobody would’ve needed to type in the numbers by hand, and the above embarrassment never would’ve occurred. And CNN should be embarrassed about this: it’s much worse than a simple typo, as it indicates […]

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