How are missing data handled in Statistica?

Specifying missing data codes: A missing data code, that is, a value that signifies that there is no data for a particular case and variable (displayed as a blank cell in the spreadsheet) can be specified separately for each variable. To change the code, double-click on a variable name in the spreadsheet to access the Variable specifications dialog box for that variable. Alternatively, select the Data tab and in the Variables group, click All Specs to display the Variable Specifications Editor for all variables (ribbon bar), or click the toolbar button (classic menus) and select All Specs from the resulting menu to display the Variable Specifications Editor for all variables. The default Missing Data code in Statistica (used when new files are created, new variables are added, or data are imported) depends on the variable type being used.
Processing cases with missing data: The way in which missing data are handled when processing data can be adjusted individually for each analysis (see the MD deletion group box in most analysis-definition dialog boxes). Whenever applicable, you have the choice to eliminate them from calculations in a casewise or pairwise manner, substitute them with means, or reconstruct or interpolate them (example, in the Time Series module).
Click the help button in the respective analysis-definition dialog box or press the F1 key on your keyboard to learn about the specific missing data handling options available for the procedures of interest.