DATA sales_loop; DO i = 1 TO 10 BY 2; sales_loop(i) = sales * i; END; RUN;
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.
PROC UPDATE DATA=sales; UPDATE sales_updates; BY sales_id; RUN; The ARRAY statement is used to create a temporary array to store values. Sas Programming 2 Data Manipulation Techniques Pdf 17
DATA dataset-name; INPUT variable1 variable2 ...; LABEL variable1 = 'label1' variable2 = 'label2' ...; FORMAT variable1 format1 variable2 format2 ...; INFILE 'file-name'; /* data manipulation statements */ RUN;
| Technique | Description | | --- | --- | | DATA step | Create and manipulate data | | PROC SORT | Sort data | | PROC DATATYPE | Change data type | | PROC TRANSPOSE | Transpose data | | MERGE | Combine datasets | | UPDATE | Update data | | ARRAY | Create temporary array | | DO LOOPS | Execute block of statements repeatedly | DATA sales_loop; DO i = 1 TO 10
PROC TRANSPOSE DATA=dataset-name OUT=output-dataset; BY variable1 variable2 ...; ID variable3; VAR variable4; RUN;
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. These techniques are essential for any SAS programmer
DATA sales_array; ARRAY sales-array 4 sales1 sales2 sales3 sales4; DO i = 1 to 4; sales-array(i) = sales * i; END; RUN; The DO LOOP statement is used to execute a block of statements repeatedly.
PROC TRANSPOSE DATA=sales OUT=sales_transposed; BY region; ID salesrep; VAR sales; RUN; The MERGE statement is used to combine two or more SAS datasets based on a common variable.
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.
PROC UPDATE DATA=dataset1; UPDATE dataset2; BY variable; RUN;