What is the easiest way to indicate the mean and median values on a simple series plot like the following?
proc sgplot data=customer_ages;
series x=age y=buyers;
xaxis values=(18 to 90 by 2);
yaxis grid;
run;
In the example above, I'd like to indicate both the mean age and median age somewhere either outside or inside the graph. No need for reference lines, just want to show the values, such as Mean: 42.3 and Median: 40.
Thanks much,
Dave
Another slight variation on the INSET you might want to try is the code below. It is a "table" form of inset. Either version should work for you.
proc sgplot data=customer_ages;
series x=age y=buyers;
xaxis values=(18 to 90 by 2);
yaxis grid;
inset ('Mean'='42.3' 'Median'='40') / position = topright;
run;
Try the inset statement in sgplot, it will insert the text inside, top right position of graph.
proc sgplot data=customer_ages;
series x=age y=buyers;
xaxis values=(18 to 90 by 2);
yaxis grid;
inset 'Mean: 42.3' 'Median: 40 ' / position = topright;
run;
Another slight variation on the INSET you might want to try is the code below. It is a "table" form of inset. Either version should work for you.
proc sgplot data=customer_ages;
series x=age y=buyers;
xaxis values=(18 to 90 by 2);
yaxis grid;
inset ('Mean'='42.3' 'Median'='40') / position = topright;
run;
Ah, so there isn't any way for SGPLOT to actually calculate the mean and median? I'll need to pre-process the data in another step, output macro variables, and then insert the macro variable references into the SGPLOT Inset statement, correct?
Was hoping SGPLOT could do this for me...
Thanks for your responses, Jagadishkatam and DanH_sas.
Dave
Correct, but you can calculate the stats outside the procedure, set it in a macro variable(s), and use the macro variable(s) in the INSET statement.
Join us for SAS Innovate 2025, our biggest and most exciting global event of the year, in Orlando, FL, from May 6-9.
Lock in the best rate now before the price increases on April 1.
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.