The ODS Graphics procedures
produce plots for exploratory data analysis and for customized statistical
displays. These procedures can produce a variety of single- and multi-cell
plots and charts, including density, dot, needle, series, bar, histograms,
box, and others. They can also compute and display loess fits, polynomial
fits, penalized B-spline fits, reference lines, bands, and ellipses.
Options are available for specifying colors, marker symbols, and other
attributes of plot features.
These procedures use
the Graph Template Language (GTL) to define the layout and details
of a graph. Because SAS provides a default template for every graph
produced by the procedures, you do not need to know anything about
templates to create graphs with these procedures. You can create effective
graphs with a minimal amount of learning and effort.
These are the ODS Graphics
procedures:
creates single-cell
plots with a variety of plot and chart types and overlays.
creates classification
panels for one or more classification variables. Each graph cell in
the panel can contain either a simple plot or multiple, overlaid plots.
This procedure can create most of the plots that the SGPLOT procedure
creates. For this reason, the two procedures have a similar syntax.
creates scatter plots
and scatter plot matrices with optional fits and ellipses.
creates graphical output
based on a graph file that has been created by using the ODS Graphics
Designer application.
produces graphs from
graph templates that are written in the GTL. You can also render a
graph from a SAS ODS Graphics Editor (SGE) file.
The procedures have
two facilities that enable you to modify graph output:
-
The SG annotation feature enables
you to add shapes, images, and other annotations to graph output.
This feature is preproduction in SAS 9.3.
-
SG attribute maps enable you to
control the visual attributes that are applied to specific data values
in your graphs. For example, if an ODS Graphics procedure creates
a graph that plots items sold in different countries, you can specify
the display attributes for the sales data of each country. Attribute
maps enable you to ensure that particular visual attributes are applied
to data values in particular groups.