We know if use BY statement in any PROC the source data needs to in SORTED order and that is the advantage of using CLASS statement with CLASS statement you don’t need to carry a burden of using SORT step before PROC SUMMARY step. One more thing to note here is use of CLASS statement instead of BY statement. values for the All categories.) NOTE: Formats entered implicitly along with data must be. options in OUTPUT statement to get respective stats. You can specify MEAN=, SUM=, MINIMUM=, MAXIMUM= etc. We can see that PROC SUMMARY is finishing the task at half of the time required by PROC SQL. Here we will compare between PROC SQL and PROC SUMMARY for the example of sashelp.cars mentioned above.Ĭompressed is 2 pages un-compressed wouldĬompressed is 3 pages un-compressed would Proc MEANS by default produces printed output in the LISTING window or other open destination whereas Proc SUMMARY does not. So we can use these procedures interchangeably as per requirement.īy default PROC SUMMARY and PROC MEANS provides summary stats like N(frequency of non-missing records), MEAN, MAXIMUM, MINIMUM, STD Deviation etc. Only the difference is that PROC MEANS will give the output on console or other medium while by default and for PROC SUMMARY you need to provide the output option either as SAS dataset or PRINT. Let me tell you frankly PROC SUMMARY and PROC MEANS are siblings with all their features commonly inherited. The obvious solution one can think of is PROC SQL way or using PROC SUMMARY/PROC MEANS. For example if we consider a sashelp.cars dataset and want to find out what is average price of each type of car for each type of MAKE? It is very common in SAS programming to summarize the data for reporting or otherwise for further processing.
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