How to Program in SPSS Language for Mainframe Computers?

SPSS is a programming language for analyzing all kinds of data. These data can be any logical research, a client database, Analytics, or server log files. SPSS (Statistical Package for the Social Sciences) is now in the market for more than thirty years.

Formerly produced as a programming language for handling statistical analysis, it has evolved into a complicated and compelling application and mainframe computers. Let’s take a look at how SPSS programming can be used for mainframe computers.

1. SPSS is a programming language
2. Using Temporary Variables
3. Establishing Global Settings
4. Viewing a Single Database Table
5. Reading More than one Table

SPSS is a programming language

An SPSS program for the mainframe is called a “recipe”: A set of directions to be performed in a particularized distribution. It is not a spreadsheet and the result is the result and does not modify implicitly. Some commands and practices are essential for SPSS to be capable of performing its directions. For example,

DATASET ACTIVATE DataSet1 . 
FREQUENCIES VARIABLES = customerage 
/ ORDER = ANALYSIS . 

DATASET ACTIVATE DataSet1 . RECODE customerage(0 thru 1=1) (2 thru 4=2) (5 thru 6=3) INTO newcustomerage . 
VARIABLE LABELS newcustomerage ’ recorded ’. 
EXECUTE . 

DATASET ACTIVATE DataSet1 . 
FREQUENCIES VARIABLES = newage 
/ ORDER = ANALYSIS .

Using Temporary Variables

For alterations that need standard variables, users can use temporary variables for the standard values. Any variable title that starts with a # sign is interpreted as a temporary or scratch variable that is dumped at the end of the list of alteration commands when SPSS Statistics finds an EXECUTE command or other instruction that shows the data such as an analytical procedure. For example,

*tempvar.sps. 
DATA LIST FREE / a.
BEGIN DATA 
2 4 6 8 10 
END DATA. 
COMPUTE b=1. 
LOOP #temporaryvariable=1 TO var1.
 - COMPUTE b=b * #temporaryvariable. 
END LOOP. 
EXECUTE.https://pdf.co/wp-admin/profile.php

Establishing Global Settings

For the global settings in the mainframe, users can establish global settings that can allow them to apply identical command files for various reports and interpretations. You can build a command syntax file that includes a collection of FILEHANDLE commands that specify file locations and a compilation of macros that define global variables for the customer, result language, and so on.

When users want to modify any settings, they edit or modify them once in the global key file, giving the bulk of the command syntax files maintained. For example,

*define_global.sps.
FILE HANDLE data /NAME=’/samples/data’. 
FILE HANDLE commands /NAME=’/samples/commands’. 
FILE HANDLE spssdir /NAME=’/data files/spssinc/statistics’. 
FILE HANDLE tempdir /NAME=’c:/temporary’. 

DEFINE !enddate()DATE.DMY(31,3,2020)!ENDDEFINE. 
DEFINE !olang()English!ENDDEFINE. 
DEFINE !client()"PQR Inc"!ENDDEFINE. 
DEFINE !title()TITLE !customer.!ENDDEFINE.

Viewing a Single Database Table

The SPSS shows data from databases. Users can read data from one table or consolidate data from various tables in the corresponding database. One database table has fundamentally the equivalent two-dimensional formation as a data file. For the mainframe, records are instances, and fields are variables. For example,

*access11.sps.
GET DATA /TYPE=ODBC /CONNECT=
’DSN=Microsoft Access;DBQ=d:\samples\data\dm_demo.mdb;’+
’ DriverId=28;FIL=MS Access;MaxBufferSize=2048;PageTimeout=7;’
/SQL = ’SELECT * FROM JoinedTable’.
EXECUTE.

Reading More than one Table

Users can merge data from two or more database tables by “joining” the tables. The current dataset can be created from more than two tables, but each “join” describes a connection between only two tables.

This example joins data from two separate tables: one including demographic data for study respondents and one including questionnaire replies.

*access_multtables1.sps. 
GET DATA /TYPE=ODBC /CONNECT= 
’DSN=MS Access Database;DBQ=D:\samples\data\dm_demo.mdb;’+ 
’DriverId=29;FIL=MS Access;MaxBufferSize=2048;PageTimeout=7;’ 
/SQL = 
’SELECT * FROM LandInformation, SurveyReplies’ 
’ WHERE LandInformation.ID=SurveyReplies.ID’.
EXECUTE.

In a perpetual data file formation, various events are composed of a single record. Data common to each event on the account may be accessed once and then broadcasted to all of the events created from the record. In this regard, a file with a perpetual data formation is like a hierarchical file, with two steps of data entered on a single record rather than on various record samples.

Users can implement data alterations extending from uncomplicated tasks, such as dropping classes for reports, to more high-level tasks, such as building new variables based on multiple comparisons and conditional statements.