Posts Tagged ‘ Statistical Graphics ’

Birthday analysis—Friday the 13th update, and some model checking

May 18, 2016
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Birthday analysis—Friday the 13th update, and some model checking

Carl Bialik and Andrew Flowers at fivethirtyeight.com (Nate Silver’s site) ran a story following up on our birthdays example—that time series decomposition of births by day, which is on the cover of the third edition of Bayesian Data Analysis using data from 1968-1988, and which then Aki redid using a new dataset from 2000-2014. Friday […] The post Birthday analysis—Friday the 13th update, and some model checking appeared first on…

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Beautiful Graphs for Baseball Strike-Count Performance

May 16, 2016
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Beautiful Graphs for Baseball Strike-Count Performance

This post is by Bob. I have no idea what Andrew will make of these graphs; I’ve been hoping to gather enough comments from him to code up a ggplot theme. Shravan, you can move along, there’s nothing here but baseball. Jim Albert created some great graphs for strike-count performance in a series of two […] The post Beautiful Graphs for Baseball Strike-Count Performance appeared first on Statistical Modeling, Causal…

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How much do New Yorkers tip taxi drivers?

May 2, 2016
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How much do New Yorkers tip taxi drivers?

When I read Robert Allison's article about the cost of a taxi ride in New York City, I was struck by the scatter plot (shown at right; click to enlarge) that plots the tip amount against the total bill for 12 million taxi rides. The graph clearly reveals diagonal and […] The post How much do New Yorkers tip taxi drivers? appeared first on The DO Loop.

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Integrating graphs into your workflow

April 28, 2016
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Integrating graphs into your workflow

Discussion of statistical graphics typically focuses on individual graphs (for example here). But the real gain in your research comes from integrating graphs into your workflow. You want to be able to make the graphs you want, when you want them. At the same time, the graph have to be good enough that you can […] The post Integrating graphs into your workflow appeared first on Statistical Modeling, Causal Inference,…

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Set attributes of markers in PROC SGPLOT by using ODS style elements

April 11, 2016
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Set attributes of markers in PROC SGPLOT by using ODS style elements

The SG procedures in SAS use aesthetically pleasing default colors, shapes, and styles, but sometimes it is necessary to override the default attributes. The MARKERATTRS= option enables you to override the default colors, symbols, and sizes of markers in scatter plots and other graphs. Similarly, the LINEATTRS= option enables you […] The post Set attributes of markers in PROC SGPLOT by using ODS style elements appeared first on The DO…

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Somebody’s reading our research.

April 5, 2016
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Somebody’s reading our research.

See footnote 10 on page 5 of this GAO report. (The above graphs are just for age 45-54, which demonstrates an important thing about statistical graphics: They should be as self-contained as possible. Otherwise when the graph is separated from its ca...

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Numbers too good to be true? Or: Thanks, Obama!?

March 30, 2016
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Numbers too good to be true? Or: Thanks, Obama!?

This post is by Phil. The “Affordable Care Act” a.k.a. “Obamacare” was passed in 2010, with its various pieces coming into play over the following few years. One of those pieces is penalties for hospitals that see high readmission rates. The theory here, or at least one of the theories here, was that hospitals could […] The post Numbers too good to be true? Or: Thanks, Obama!? appeared first on…

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Thinking about this beautiful text sentiment visualizer yields a surprising insight about statistical graphics

March 22, 2016
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Thinking about this beautiful text sentiment visualizer yields a surprising insight about statistical graphics

Lucas Estevem set up this website in d3 as his final project in our statistical communication and graphics class this spring. Copy any text into the window, push the button, and you get this clean and attractive display showing the estimated positivity or negativity of each sentence. The length of each bar is some continuously-scaled […] The post Thinking about this beautiful text sentiment visualizer yields a surprising insight about…

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Comparative histograms: Panel and overlay histograms in SAS

March 9, 2016
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Comparative histograms: Panel and  overlay histograms in SAS

You can use histograms to visualize the distribution of data. A comparative histogram enables you to compare two or more distributions, which usually represent subpopulations in the data. Common subpopulations include males versus females or a control group versus an experimental group. There are two common ways to construct a […] The post Comparative histograms: Panel and overlay histograms in SAS appeared first on The DO Loop.

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Graphical Data Analysis with R

February 27, 2016
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Graphical Data Analysis with R: that’s the title of Antony Unwin’s new book. Here are the chapter titles: Ch01 Setting the Scene Ch03 Examining continuous variables Ch04 Displaying Categorial Data Ch05 Looking for Structure Ch06 Investigating Multivariate Continuous Data Ch07 Studying Multivariate Categorical Data Ch08 Getting an Overview Ch09 Graphics and Data Quality Ch10 Comparisons […] The post Graphical Data Analysis with R appeared first on Statistical Modeling, Causal Inference,…

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