In this paper, we have discussed various data manipulation techniques in SAS programming, including DATA step, PROC SORT, PROC DATATYPE, PROC TRANSPOSE, MERGE, UPDATE, ARRAY, and DO LOOPS. These techniques are essential for any SAS programmer to manipulate and prepare data for analysis. With practice and experience, SAS programmers can efficiently use these techniques to manage and analyze large datasets.
PROC TRANSPOSE DATA=dataset-name OUT=output-dataset; BY variable1 variable2 ...; ID variable3; VAR variable4; RUN; Sas Programming 2 Data Manipulation Techniques Pdf 17
PROC DATATYPE DATA=sales; CHANGE sales = numeric; RUN; The PROC TRANSPOSE procedure is used to transpose a SAS dataset from rows to columns or vice versa. In this paper, we have discussed various data
DATA sales_loop; DO i = 1 TO 10 BY 2; sales_loop(i) = sales * i; END; RUN; Data Step The DATA step is used to
DATA sales_merged; MERGE sales customer; BY customer_id; RUN; The UPDATE statement is used to update a SAS dataset with new values from another dataset.
1. Data Step The DATA step is used to create and manipulate data in SAS. It is the primary step in SAS programming where data is read, processed, and written to a SAS dataset.
DATA output-dataset; DO variable = start TO end BY increment; /* loop statements */ END; RUN;