Working with Scatter Plots
About Scatter Plots
A scatter plot displays the values of measures by using markers. When you apply more than two measures,
the visualization displays a scatter plot matrix. A scatter plot matrix is a series of scatter plots that display every possible pairing of the measures
that are applied to the visualization.
If you create a scatter plot that has a very large number of data values, then the
scatter plot is rendered either as a heat map (for two measures) or as a correlation matrix for three or more measures.
Data Roles for a Scatter Plot
The basic data role for a scatter plot is a measure. You can assign any number of
measures. If you assign a single measure
to a scatter plot, then the values are plotted along a line.
In addition to measures,
you can assign a Group variable. The Group variable groups the data based on the values of the category data item that you assign. A separate set of scatter points is created for each value of the
group variable.
Specify Properties for a Scatter Plot
On the Properties tab,
you can specify the following options:
Name
specifies the name of the visualization.
Title
specifies the title
that appears above the graph.
Generate graph title
specifies that the graph title is generated automatically based on the data items
in the visualization.
displays grid lines for each tick on the plot axes.
Marker size
specifies the size
of each marker in pixels.
Fit Line
Reference Lines
adds reference lines to the visualization. To create a reference line, click 
, and then specify the parameters for the line in
the New Reference Line window.
, and then specify the parameters for the line in
the New Reference Line window.
The name of each reference line appears below the Reference Lines option.
You can edit or delete your reference lines by using the icons next
to each name.
Applying Data Analysis
About Data Analysis
For scatter plots, you
can apply the following data analyses:
Correlation
identifies the degree of statistical correlation between the variables in the visualization. For more information,
see Correlation.
Fit Line
plots a model of the relationship between the variables in the visualization.
There are many types of fit lines, including linear fit, quadratic fit, cubic fit,
and penalized B-spline. For more information, see Fit Lines.
Correlation is applied to your visualization automatically when you add a linear fit line. It is not available with other fit types.
Enable Data Analysis
To add a fit line to your visualization, select the 
drop-down list from the visualization toolbar, and then select Fit Line and select the fit type. For details about the
fit types that are available, see Fit Lines.
drop-down list from the visualization toolbar, and then select Fit Line and select the fit type. For details about the
fit types that are available, see Fit Lines.Copyright © SAS Institute Inc. All Rights Reserved.
Last updated: January 8, 2019