SAS PROCs ISYS 650

PROC Statement Syntax PROC name options; Statements statement options; … RUN;

Procedure Options DATA = N = ‘Number of subjects is: ‘ – Include the number of observations in the output Proc Print data=Mydata.Employee N; run;

PROC Statements VAR variables; – To use only the variables in the list for analysis. BY variables; – Cause SAS to repeat the procedure for value of the variables, similar to GROUP BY. SUM variables – Include total for specified variables TITLE

Examples Proc MEANS data=Mydata.Emp; VAR Salary; BY Race; run; PROC PRINT data=Mydata.Emp N; VAR Name Sex Race Salary; SUM Salary; TITLE 'Employee List'; run; PROC SORT data=Mydata.Emp; BY Name; run; PROC PRINT; VAR Name Race Salary; RUN;

PROC SQL PROC SQL is a powerful Base SAS Procedure that combines the functionality of DATA and PROC steps into a single step. PROC SQL can sort, summarize, subset, join (merge), and concatenate datasets, create new variables, and print the results or create a new table or view all in one step! PROC SQL can be used to retrieve, update, and report on information from SAS data sets or other database products.

Creating a SAS Data Set Using ODBC and SQL Create Table Command PROC SQL; CONNECT TO ODBC(DSN='MySalesDB2007'); CREATE TABLE MyData.Customers AS SELECT * FROM CONNECTION TO ODBC(SELECT * FROM Customer); Quit; **Note: End with the Quit command. PROC SQL; CONNECT TO ODBC(DSN='MySalesDB2007'); CREATE TABLE Customers AS SELECT * FROM CONNECTION TO ODBC(SELECT * FROM Customer); Quit; PROC PRINT; RUN; Permanent data set: Temporary data set:

Creating Data Set as a Result of a Join Command PROC SQL; CONNECT TO ODBC(DSN='MySalesDB2007'); CREATE TABLE temp_sas AS SELECT * FROM CONNECTION TO ODBC(SELECT Customer.CID, Cname, OID, Odate FROM Customer, Orders where Customer.cid=orders.cid); Quit; Proc Print; Run;

Creating a View PROC SQL; CREATE VIEW ACustomer AS SELECT * FROM MyData.Customers where Rating='A'; Quit; Proc Print Data=ACustomer; Run;

Select Records from a SAS Data Set PROC SQL; SELECT * FROM MyData.Customers Where Rating='A'; Quit; PROC SQL; SELECT City, Count(CID) AS NumberOfCustomer FROM MyData.Customers Group By City; Quit; PROC SQL; SELECT City, Count(CID) AS NumberOfCustomer FROM MyData.Customers Group By City Having Count(CID)>5; Quit;

Run SQL DML Command PROC SQL; DELETE * FROM MyData.Emp Where name is Null; Quit; Delete: PROC SQL; UPDATE MyData.Customers Set Rating='A' Where CID='C01'; Quit; Update: PROC SQL; INSERT INTO MyData.Customers Values('C49','Smith','SF','C'); Quit; Insert:

ODBC Connection to Oracle: User and Password PROC SQL; CONNECT TO ODBC(DSN='OracleDChao' user='dchao' password='dchao'); CREATE TABLE CatSalesPlan AS SELECT * FROM CONNECTION TO ODBC(SELECT * FROM SalesPlan); Quit;

Join a total sales query from a data warehouse with a management plan in Oracle PROC SQL; CONNECT TO ODBC(DSN='DWNW'); CREATE TABLE CatSales AS SELECT * FROM CONNECTION TO ODBC(SELECT * FROM SalesByCatYear where year=1998); Quit; PROC SQL; CONNECT TO ODBC(DSN='OracleDChao' user='dchao' password='dchao'); CREATE TABLE CatSalesPlan AS SELECT * FROM CONNECTION TO ODBC(SELECT * FROM SalesPlan); Quit; Proc SQL; Select C.categoryID, C.Year,ActualSales, ProjectedSales, ActualSales/ProjectedSales*100 as PercentSales from CatSales C, CatSalesPlan p where C.CategoryID=p.CategoryID and C.Year=p.Year; Quit;

Output Delivery System, ODS With ODS you can choose to create output in other formats, including HTML, RTF and PDF. ODS HTML; Proc print data=StGpa ; run; ODS HTML CLose; ODS PDF file='C:\MyData\PDFCustomer.PDF'; Proc print data=Mydata.Customers ; run; ODS PDF CLose; ODS RTF file='C:\MyData\RTFCustomer.RTF'; Proc print data=Mydata.Customers ; run; ODS RTF CLose;