A scatterplot matrix shows a matrix where the lower triangle displays scatterplots of variable pairs, the diagonal displays variable histograms and the upper triangle displays correlations of variable pairs. Also known as a SPLOM.
Requirements
 A series of categorical or numeric variables to use as correlation inputs.
 See Variable Sets for more info on how to set the measurement scale and values for analysis.
Please note this requires the Data Stories module or a Displayr license.
Method
 From the toolbar, select Visualization > Scatter > Scatterplot Matrix.
 Click on the page to place the visualization.
 From the object inspector, select variables from the Variables to plot dropdown or drag them from the Data Sources tree into the Variables to plot box.
 Click Calculate.
 OPTIONAL: Variable names  toggle this on to show variable names in the matrix instead of variable labels.

Missing data: Method for dealing with missing data.
 Error if missing data  An error is returned if any of the data used in the analysis contains missing values.
 Exclude cases with missing data  The analysis is conducted using cases with no missing data. For example, if there are three variables, x, y, and z, and the total sample size is 10, but 5 cases have no data for z, only the 5 cases with the complete data are used in the analysis. This is also known as casewise deletion and the completecase method. It is the default approach in Displayr.
 Use partial data  The analysis is conducted using all the data for each case. For example, in KMeans Cluster Analysis, if there are nine variables in the analysis, and a case only has data for six, then the case is assigned to the most similar cluster based on the data for the six variables.

Fitted line:
 None  No fitted line is shown in each scatterplot.
 Straight  A line of best fit (from linear regression) is shown in each scatterplot.
 LOESS  A line generated using fitted values from locally weighted polynomial regression is shown in each scatterplot.

Scatter point modifications:
 None  No modifications.
 Jitter  Add noise to each point so that areas with closely positioned points appear denser.
 Enlarge points with multiple observations  Multiple points with identical positions will appear as an enlarged point. This is the default.
OPTIONAL: Further visual modifications can be made via the Chart tab in the object inspector.
This tab contains options for formatting the text and graphical elements in the chart. It is organized into groups for Correlation (panels in the upperright triangle), Scatterplots (panels in the lowerleft triangle), and Histograms (panels along the diagonal).
Next
How to Create a Correlation Matrix
How to Conduct a Test of Correlation Between Two Variables
How to Create a Table of Coefficients from a Correlation Matrix