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SAS Data Views: A Virtual View of Data John C. Bowling, SAS Institute Inc., Cary, ABSTRACT The concept of a SAS data set has been extended or broadened in Version 6 of the SAS System. Two SAS file
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How to fill out SAS data views A:

01
Open SAS software on your computer and log in with your credentials.
02
Once you are logged in, navigate to the SAS data views section in the toolbar.
03
Select "Create New View" or a similar option to begin filling out the SAS data view.
04
Specify the data source for your view, which can be a SAS dataset, an external file, or a database table.
05
Choose the variables you want to include in your data view by selecting them from the available options.
06
Set any necessary filters or conditions to limit the data included in the view.
07
Determine the sort order of the variables, if desired.
08
Specify any necessary calculations or transformations to apply to the data.
09
Save and name your SAS data view to make it accessible for future use or analysis.

Who needs SAS data views A:

01
Data analysts or statisticians who work with large datasets and need to create customized views for specific analyses.
02
Researchers or scientists who require subsets of data from a larger dataset to answer specific research questions.
03
Business professionals who need to generate reports or extract specific information from a database using SAS.
Note: Remember that SAS data views allow you to create virtual tables that do not duplicate data, but rather provide a logical representation of the original data. This can save storage space and improve performance when working with large datasets.
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SAS data views are virtual datasets that provide a customized and efficient way to access and analyze data in SAS. A SAS data view does not physically store any data, but rather acts like a window into one or more SAS datasets.
Filing SAS data views is not mandatory as they are not physical datasets. However, users who need to access and analyze data in SAS may choose to create and use SAS data views.
SAS data views are generated through SAS programming. By using the DATA step or PROC SQL, users can define the structure of the data view, specify which SAS datasets to include, and apply any necessary transformations or filters.
The purpose of SAS data views is to provide a flexible and efficient way to work with data in SAS. They allow users to define customized views of data without the need to create and store additional physical datasets.
SAS data views do not require any specific information to be reported. However, the data view itself is typically comprised of one or more SAS datasets, which may contain various types of data, such as numeric, character, or date/time values.
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