Posts Tagged ‘ Statistical Graphics ’

Lasagna plots in SAS: When spaghetti plots don’t suffice

June 8, 2016
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Last week I discussed how to create spaghetti plots in SAS. A spaghetti plot is a type of line plot that contains many lines. Spaghetti plots are used in longitudinal studies to show trends among individual subjects, which can be patients, hospitals, companies, states, or countries. I showed ways to

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Create spaghetti plots in SAS

June 2, 2016
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What is a spaghetti plot? Spaghetti plots are line plots that involve many overlapping lines. Like spaghetti on your plate, they can be hard to unravel, yet for many analysts they are a delicious staple of data visualization. This article presents the good, the bad, and the messy about spaghetti

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How much do New Yorkers tip taxi drivers?

May 2, 2016
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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

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

April 11, 2016
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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

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Comparative histograms: Panel and overlay histograms in SAS

March 9, 2016
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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

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A simple trick to include (and order!) all categories in SGPLOT legends

February 17, 2016
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Last week Sanjay Matange wrote about a new SAS 9.4m3 option that enables you to show all categories in a graph legend, even when the data do not contain all the categories. Sanjay's example was a chart that showed medical conditions classified according to the scale "Mild," "Moderate," and "Severe."

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Banking to 45 degrees: Aspect ratios for time series plots

January 20, 2016
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In SAS, the aspect ratio of a graph is the physical height of the graph divided by the physical width. Recently I demonstrated how to set the aspect ratio of graphs in SAS by using the ASPECT= option in PROC SGPLOT or by using the OVERLAYEQUATED statement in the Graph

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Twelve posts from 2015 that deserve a second look

January 11, 2016
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I began 2016 by compiling a list of popular articles from my blog in 2015. This "People's Choice" list contains many interesting articles, but some of my personal favorites did not make the list. Today I present the "Editor's Choice" list of articles that deserve a second look. I've grouped

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