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* 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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Michael A. Raithel delivers the lunchtime keynote presentation at SAS Global Forum 2010
A Personal Message From Michael A. Raithel: |
I would like to thank each and every one of the 628 SAS professionals who attended my lunchtime keynote presentation, It’s Not Easy Being A SAS Programmer, at SAS Global Forum 2010, but I didn’t catch all of their names. :) It was a great group and we had fun as we shared some of the trials and tribulations of being a SAS programmer. Of course, being savvy SAS professionals, I would bet that they are all regular visitors to sasCommunity.org. So, it seems fitting for me to tell them the following right here:
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