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 UPDATE DATA=dataset1; UPDATE dataset2; BY variable; RUN;
PROC UPDATE DATA=sales; UPDATE sales_updates; BY sales_id; RUN; The ARRAY statement is used to create a temporary array to store values.
DATA sales_loop; DO i = 1 TO 10 BY 2; sales_loop(i) = sales * i; END; RUN; Sas Programming 2 Data Manipulation Techniques Pdf 17
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.
Here are some common SAS data manipulation techniques:
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. SAS (Statistical Analysis System) is a powerful software
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 SORT DATA=sales; BY region salesrep; RUN; The PROC DATATYPE procedure is used to change the type of a variable in a SAS dataset.
DATA output-dataset; ARRAY array-name n variable1 variable2 ...; /* array manipulation statements */ RUN; We will discuss the concepts, syntax, and examples
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.
DATA dataset-name; INPUT variable1 variable2 ...; LABEL variable1 = 'label1' variable2 = 'label2' ...; FORMAT variable1 format1 variable2 format2 ...; INFILE 'file-name'; /* data manipulation statements */ RUN;