Sas Programming 2 Data Manipulation Techniques Pdf 17 -

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.

SAS (Statistical Analysis System) is a powerful software tool used for data analysis, data management, and data visualization. In SAS programming, data manipulation is a crucial step in preparing data for analysis. This paper focuses on various data manipulation techniques in SAS, which are essential for any SAS programmer. We will discuss the concepts, syntax, and examples of different data manipulation techniques.

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.

| 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 output-dataset; MERGE dataset1 dataset2 ...; BY variable; RUN;

DATA sales_loop; DO i = 1 TO 10 BY 2; sales_loop(i) = sales * i; END; RUN;

DATA output-dataset; ARRAY array-name n variable1 variable2 ...; /* array manipulation statements */ RUN;

DATA dataset-name; INPUT variable1 variable2 ...; LABEL variable1 = 'label1' variable2 = 'label2' ...; FORMAT variable1 format1 variable2 format2 ...; INFILE 'file-name'; /* data manipulation statements */ RUN;