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
Permanent data set:
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.
Temporary data set:
PROC SQL;
CONNECT TO ODBC(DSN='MySalesDB2007');
CREATE TABLE Customers AS
SELECT * FROM CONNECTION TO ODBC(SELECT * FROM Customer);
Quit;
PROC PRINT;
RUN;
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
Delete:
PROC SQL;
DELETE * FROM MyData.Emp
Where name is Null;
Quit;
Update:
PROC SQL;
UPDATE MyData.Customers
Set Rating='A'
Where CID='C01';
Quit;
Insert:
PROC SQL;
INSERT INTO MyData.Customers
Values('C49','Smith','SF','C');
Quit;
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;