## Tag: Vector Plot

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Polar graph remix - using sgplot (no gtl/sgrender!)

A few years ago Sanjay showed how to create a polar graph by creating a gtl template, and then plotting it using Proc SGRender. These days, Proc SGPlot has all the functionality you need to create this graph, therefore I've rewritten the example to just use SGPlot. And while I

Data Visualization
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Polar Graph

There are many situations where it is beneficial to display the data using a polar graph.  Often your data may contain directional information.  Or, the data may be cyclic in nature, with information over time by weeks, or years.  The simple solution is to display the directional or time data

Data Visualization
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A Better AE Timeline

Back in February, I posted an article on creating Adverse Event Timeline Graph.  In the SAS 9.2 version (first one), one item that was less than ideal was the way to position the AE names to the left of the event.  The AE names are displayed using the scatter plot statement

Data Visualization
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Graphical display of statistics

Statistical graphs often include display of derived statistics along with the raw data.  Often these statistics are presented in a tabular format inside the graph.  With SGPLOT procedure, a table of statistics can be added to the graph as an inset table, as shown below. Using a Stat Table: SGPLOT code:

Data Visualization
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Simpler is better

A recent article in the SAS and R blog was about current winter temperatures in Albany, NY.  The temperature data for the recent winter (Dec 2011 - Mar 2012) was plotted on a polar graph. Robert Allison posted an article on displaying the same data as a Polar Graph using SAS/GRAPH .  Here is his

Data Visualization
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SG Procedures Book Samples: Adverse Event Timeline

Here is the second installment of sample graphs from the SG Procedures book - The Adverse Event Timeline.  This is a graph commonly used in patient profiles for clinical trials where we track the progress of a patient through a hospitalization event, tracking the dates and severity of the adverse events. The

Data Visualization
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