The SGPLOT procedure, part of the ODS Statistical Graphics package, allows for extensive customization of nearly all aspects of plot output. These capabilities are commonly used to distinguish between groups or categories being compared through the use of distinct plot attributes, such as symbols and colors. However, there are times when it is advantageous to be able to associate specific plot attributes with specific data values. SG attribute maps provide functionality that does exactly that. This presentation will provide an introduction to the use of SG attribute maps in conjunction with PROC SGPLOT. A series of examples will demonstrate how attribute maps are used and why they are useful as a programming tool. Both discrete and range attribute maps will be used to modify a variety of plot attributes, such as plot marker symbols and colors, line styles and fill patterns.

PRESENTER:
Joshua Horstman, Nested Loop Consulting
SESSION ID: 1154
TOPIC: Programming: General Programming
INDUSTRY: Non-Industry Specific
AUDIENCE: Data Scientist, Programmer, Statistician/Biostatistician
SKILL LEVEL: Appropriate for all levels

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