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sasCommunity.org is an ongoing global community effort—created '''[[SasCommunity.org_Advisory_Board|by SAS users for SAS users]]. '''This site is a place to find answers, share technical knowledge, collaborate on ideas and connect with others in the worldwide SAS Community. '''Get started now''' by [http://www.sascommunity.org/mwiki/index.php?title=Special:UserLogin&type=signup&returnto=Main_Page creating a UserID].
 
sasCommunity.org is an ongoing global community effort—created '''[[SasCommunity.org_Advisory_Board|by SAS users for SAS users]]. '''This site is a place to find answers, share technical knowledge, collaborate on ideas and connect with others in the worldwide SAS Community. '''Get started now''' by [http://www.sascommunity.org/mwiki/index.php?title=Special:UserLogin&type=signup&returnto=Main_Page creating a UserID].
  
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[[File:Twitterbanner.gif|link=http://www.twitter.com/sasCommunity|alt=Follow Us]]<br>
 
[[File:Twitterbanner.gif|link=http://www.twitter.com/sasCommunity|alt=Follow Us]]<br>
 
<font size="2" color="#007cc2">For daily SAS Tips, Web updates & more.</font>
 
<font size="2" color="#007cc2">For daily SAS Tips, Web updates & more.</font>
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{{Tip of the Day:{{CURRENTMONTHNAME}} {{CURRENTDAY}}}}
 
{{Tip of the Day:{{CURRENTMONTHNAME}} {{CURRENTDAY}}}}
 
<br>Check out the [[Tip of the Day]] page for details about this effort.
 
<br>Check out the [[Tip of the Day]] page for details about this effort.

Revision as of 17:53, 18 November 2011

Welcome to sasCommunity.org

A collaborative online community for SAS® users worldwide.

sasCommunity.org is an ongoing global community effort—created by SAS users for SAS users. This site is a place to find answers, share technical knowledge, collaborate on ideas and connect with others in the worldwide SAS Community. Get started now by creating a UserID.

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sasCommunity Tip of the Day

 * Using the SET statement;
data work.step1;
    set work.step1
        work.step2;
run;
 
* Using the APPEND statement;
proc datasets;
    append base = work.step1
           data = work.step2;
run;

There are a couple of methods you can use to concatenate data sets. In these examples, work.step2 is appended to work.step1.

When you use a SET statement in a data step, SAS processes all the observations in work.step1 and work.step2.

With the datasets procedure, the APPEND statement bypasses the processing of the data in the original data set (work.step1) and adds the observations in work.step2 directly to the end of the original. As a result, using the APPEND statement can be more efficient than using a SET statement.

Submitted by Linda Adams. Contact me at my Discussion Page.



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