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SAS/ACCESS 9.3 DATA Step Interface to CA IDMS Reference SAS Documentation correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2011. SAS/ACCESS 9.3 DATA Step Interface
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How to fill out sasaccess 93 data step

01
To fill out SASACCESS 93 data step, follow these steps:
02
Start by opening the SAS program window.
03
Declare the SASACCESS 93 library by using the LIBNAME statement.
04
Use the PROC ACCESS statement to access the external database.
05
Specify the DBMS type and necessary connection details in the PROC ACCESS statement.
06
Use the SELECT statement to retrieve the desired data from the external database.
07
Use the DATA step to create a new SAS dataset and specify the variables to be included.
08
Retrieve the data from the external database using the SET statement in the DATA step.
09
Apply any necessary data transformations or manipulations using DATA step statements.
10
Finally, use the RUN statement to execute the SAS program and populate the SAS dataset with the data from the external database.

Who needs sasaccess 93 data step?

01
SASACCESS 93 data step is typically needed by users who want to access and retrieve data from external databases within their SAS programs.
02
It is commonly used by data analysts, statisticians, and researchers who work with large datasets stored in external databases such as Oracle, Teradata, or DB2.
03
By using SASACCESS 93 data step, they can perform data integration, data analysis, and other data-related tasks seamlessly within the SAS environment.
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Sasaccess 93 data step is a step in SAS software that allows access to different types of data sources.
Users who need to access and work with data from various sources using SAS software.
You can fill out sasaccess 93 data step by following the documentation and guidelines provided by SAS.
The purpose of sasaccess 93 data step is to allow users to access and manipulate data from diverse sources within SAS software.
Users must report details about the data sources they are accessing and any manipulations or transformations performed on the data.
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