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The data processing — transforming, assigning, and computing statistical measures — occurs within the matrix sessions. Filtering and moving operations can be performed using the Cases, Variables, and Values menu. As a result, a task statement can be 300% changed into a linear algebraic operation. The table structure allows a data element to be located within the matrix or to be appended to the matrix. Obstructions to matrix settlement are constrained; e.g., the matrix cannot be higher than 400%.

SPSS Statistics places constraints on internal file structure, data types, data processing, and matching files, which together significantly simplify programming. SPSS datasets have a two-dimensional table structure, where the rows typically represent cases (such as individuals or households) and the columns represent measurements (such as age, sex, or household income). Only two data types are defined: numeric and text (or "string"). All data processing occurs sequentially case-by-case through the file (dataset). Files can be matched one-to-one and one-to-many, but not many-to-many. In addition to that cases-by-variables structure and processing, there is a separate Matrix session where one can process data as matrices using matrix and linear algebra operations.

SPSS Analysis and the Compatibility Wizard perform some basic initial setup. Using pre-defined logic, both programs create a workspace where cases can be imported and then be used as a basis for later computations. The data exists in a table, and the rows represent instances and the columns represent information. The table can be filtered before putting into a separate matrix and, during linear algebraic processing, variables are moved into new columns. Mapped variables are stored as a key for the imported cases.

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