Posts Tagged ‘ Statistical Graphics ’

Applying human factors research to statistical graphics

July 23, 2017
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John Rauser writes: I’ve been a reader of yours (books, papers and the blog) for a long time, and it occurred to me today that I might be able to give something back to you. I recently wrote a talk (https://www.youtube.com/watch?v=fSgEeI2Xpdc) about human factors research applied to making statistical graphics. I mainly cover material from […] The post Applying human factors research to statistical graphics appeared first on Statistical Modeling,…

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3 ways to visualize prediction regions for classification problems

July 17, 2017
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3 ways to visualize prediction regions for classification problems

An important problem in machine learning is the "classification problem." In this supervised learning problem, you build a statistical model that predicts a set of categorical outcomes (responses) based on a set of input features (explanatory variables). You do this by training the model on data for which the outcomes [...] The post 3 ways to visualize prediction regions for classification problems appeared first on The DO Loop.

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Graphs as comparisons: A case study

July 16, 2017
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Graphs as comparisons:  A case study

Above is a pair of graphs from a 2015 paper by Alison Gopnik, Thomas Griffiths, and Christopher Lucas. It takes up half a page in the journal, Current Directions in Psychological Science. I think we can do better. First, what’s wrong with the above graphs? We could start with the details: As a reader, I […] The post Graphs as comparisons: A case study appeared first on Statistical Modeling, Causal…

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Question about the secret weapon

June 23, 2017
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Question about the secret weapon

Micah Wright writes: I first encountered your explanation of secret weapon plots while I was browsing your blog in grad school, and later in your 2007 book with Jennifer Hill. I found them immediately compelling and intuitive, but I have been met with a lot of confusion and some skepticism when I’ve tried to use […] The post Question about the secret weapon appeared first on Statistical Modeling, Causal Inference,…

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After Peptidegate, a proposed new slogan for PPNAS. And, as a bonus, a fun little graphics project.

June 21, 2017
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After Peptidegate, a proposed new slogan for PPNAS.  And, as a bonus, a fun little graphics project.

Someone pointed me to this post by “Neuroskeptic”: A new paper in the prestigious journal PNAS contains a rather glaring blooper. . . . right there in the abstract, which states that “three neuropeptides (β-endorphin, oxytocin, and dopamine) play particularly important roles” in human sociality. But dopamine is not a neuropeptide. Neither are serotonin or […] The post After Peptidegate, a proposed new slogan for PPNAS. And, as a bonus,…

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Hey—here are some tips on communicating data and statistics!

June 2, 2017
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This fall I’ll be again teaching the course, Communicating Data and Statistics. Here’s the rough course plan. I’ll tinker with it between now and September but this is the basic idea. (The course listing is here, but that online description is out of date; the course plan linked above is more accurate.) Here are the […] The post Hey—here are some tips on communicating data and statistics! appeared first on…

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You’ll never guess this one quick trick to diagnose problems with your graphs and then make improvements

June 2, 2017
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You’ll never guess this one quick trick to diagnose problems with your graphs and then make improvements

The trick is to consider graphs as comparisons. Here’s the story. This post from several years ago shows a confusing and misleading pair of pie charts from a Kenyan election: The quick reaction would be to say, ha ha, pie charts. But that’s not my point here. Sure, pie charts have problems and I think […] The post You’ll never guess this one quick trick to diagnose problems with your…

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More graphs of mortality trends

June 1, 2017
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More graphs of mortality trends

Corinne Riddell writes: In late March you released a series of plots visualizing mortality rates over time by race and gender. For almost a year now, we’ve been working on a similar project and have compiled all of our findings into an R shiny web app here, with a preprint of our first manuscript here. […] The post More graphs of mortality trends appeared first on Statistical Modeling, Causal Inference,…

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Click-through graphics: A demonstration visualization project for someone

May 31, 2017
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Hey, read this post. We discuss a shiny information visualization and propose “the click-through solution”: Start with a visually grabby graphic like the one on the linked page, something that takes advantage of some mystery to suck the viewer in. Then click and get a suite of statistical graphs that allow more direct visual comparisons […] The post Click-through graphics: A demonstration visualization project for someone appeared first on Statistical…

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On the SMOOTHCONNECT option in the SERIES statement

May 30, 2017
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On the SMOOTHCONNECT option in the SERIES statement

By default, when you use the SERIES statement in PROC SGPLOT to create a line plot, the observations are connected (in order) by straight line segments. However, SAS 9.4m1 introduced the SMOOTHCONNECT option which, as the name implies, uses a smooth curve to connect the observations. In Sanjay Matange's blog, [...] The post On the SMOOTHCONNECT option in the SERIES statement appeared first on The DO Loop.

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