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.
You can add data items
to the Data tips role. The values for the
data items in the Data tips role are displayed
in the data tips for the scatter plot.
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.
Note: The Title option
is disabled if you select Generate graph title.
Generate graph title
specifies that the
graph title is generated automatically based on the data items in
the visualization.
Show grid lines
displays grid lines
for each tick on the plot axes.
Marker size
specifies the size
of each marker in pixels.
Fit Line
adds a fit line to
the scatter plot. For information about the fit types that are available,
see
Fit Lines.
Note: Fit lines are not available
if a grouping variable is assigned to the scatter plot.
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
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 Linefit-type. For details about the fit types that are available, see
Fit Lines.Copyright © SAS Institute Inc. All rights reserved.