You can use the following basic syntax to calculate the quartiles for a dataset in SAS:

**/*calculate quartile values for variable called var1*/
proc univariate data=original_data;
var var1;
output out=quartile_data
pctlpts = 25 50 75
pctlpre = Q_;
run;**

**Note**: The **pctlpts** statement specifies which quartiles to calculate and the **pctlpre** statement specifies the prefix to use for the quartiles in the output.

The following example shows how to use this syntax in practice.

**Example: How to Calculate Quartiles in SAS**

Suppose we have the following dataset in SAS that contains two variables:

/*create dataset*/ data original_data; input team $ points; datalines; A 12 A 15 A 16 A 21 A 22 A 25 A 29 A 31 B 16 B 22 B 25 B 29 B 30 B 31 B 33 B 38 ; run; /*view dataset*/ proc print data=original_data;

The following code shows how to calculate the quartiles for the **points** variable in the dataset

**/*calculate quartile values for points*/
proc univariate data=original_data;
var points;
output out=quartile_data
pctlpts = 25 50 75
pctlpre = Q_;
run;
/*view quartiles for points*/
proc print data=quartile_data;
**

Here’s how to interpret the output:

- The value of the first quartile is
**18.5**. - The value of the second quartile is
**25**. - The value of the third quartile is
**30.5**.

To calculate the quartile values grouped by the team variable, simply add **by team** in the proc univariate statement:

**/*calculate quartile values for points*/
proc univariate data=original_data;
var points;
by team;
output out=quartile_data
pctlpts = 25 50 75
pctlpre = Q_;
run;
/*view quartiles for points*/
proc print data=quartile_data;**

The output table shows the quartile values for the **points **variable for both teams A and B.

**Additional Resources**

The following tutorials explain how to perform other common tasks in SAS:

How to Calculate Percentiles in SAS

How to Use Proc Summary in SAS

How to Create Frequency Tables in SAS