are useful for quickly visualizing the five-number summary of a dataset, which includes:

• The minimum value
• The first quartile
• The median
• The third quartile
• The maximum value

The following example shows how to create grouped boxplots in SAS to visualize the distribution of several groups at once.

Example: Create Boxplots by Group in SAS

First, let’s create a dataset in SAS that contains three different groups:

/*create dataset*/
data my_data;
    input Group $ Value;
    datalines;
A 7
A 8
A 9
A 12
A 14
B 5
B 6
B 6
B 8
B 11
C 8
C 9 
C 11
C 13
C 17
;
run;

Note that there are three different groups in this dataset: A, B, and C.

Next, we can use the following code to create boxplots by group:

/*create boxplots by group*/
proc sgplotdata=my_data;
   vbox Value / group=Group;
   keylegend / title="Group Name";
run; 

The result is three individual boxplots that display the distribution of data values for groups A, B, and C:

Related:

Note that you can use the hbox function to create horizontal boxplots instead:

/*create horizontal boxplots by group*/
proc sgplotdata=my_data;
   hbox Value / group=Group;
   keylegend / title="Group Name";
run; 

The result is three horizontal boxplots:

The legend at the bottom of the plot shows which color corresponds to each group.

Additional Resources

The following tutorials provide additional information about boxplots: