Ribbon bar. Select the Graphs tab. In the More group, click Input Data Graphs and from the menu, select Matrix Scatterplot...

Classic menus. From the Graphs - Graphs of Input Data submenu, select Matrix Scatterplot...

...to produce a visual (scatterplot) representation of the correlations between several variables in a matrix format. In matrix scatterplots, one or two lists of variables can be selected in the Select Variables for Matrix dialog box, and one scatterplot is generated for each pair of variables. If you select all of the variables in only the first list, then a square matrix of scatterplots is produced. You can generate a rectangular matrix of scatterplots by selecting only specific variables in the first list and then a different set of variables in the second list.

When you select Matrix Scatterplot, you can choose between two methods of missing data (MD) deletion.

If you select Casewise MD Deletion, when the scatterplots are generated, the cases that have missing data in at least one of the selected variables, will be excluded from each scatterplot. With this type of missing data deletion, all scatterplots will be based on the same set of observations. However, you could easily end up with no "valid" cases if the missing data are randomly distributed across cases, because each of them might have at least one missing data value for one of the selected variables.

If you select Pairwise MD Deletion, each individual
scatterplot in the matrix will be based on cases that have valid data
for that pair of variables.

Many other types of matrix plots are available in Statistica's Graphs menu graphs. For a general overview of the graphics facilities in Statistica, see Graphs in Statistica.