Hi, I am trying to control the pattern ranges in the US Map graph when using proc gmap. Currently, I am using the default range, but want to be able to control it. This is my code. How can I define the ranges? For example, if I wanted the ranges to be 0%-9%, 10%-19%, etc... Thanks!
%let count=percent1;
%let grftitl=Population by State;
proc format;
picture pctpic (round) low-<0 ='009.99%' (prefix='-' mult=10000) 0-high='009.99%' (mult=10000);
run;
titleh=1.6"&grftitl";
goptionsdev=emf gsfname=output1gsfmode=replace;
legend1label=(h=1.4)value=(h=1.4);
procgmap allmap=maps.us data=state_count;
format &count pctpic.;
id state;
choro &count / coutline=black legend=legend1;
*Light blue to dark blue colors;
pattern1v=ms c=cxeff3ff;pattern2 v=msc=cxbdd7e7; pattern3v=ms c=cx6baed6;
pattern4v=ms c=cx2171b5;pattern5 v=msc=CX13478C; pattern6v=ms c=CX090766;
run; quit;
Easiest would be to use a custom format that groups your data into the desired range and use the Discrete option on the choro statement;
proc format;
value mypct
0 < 10 = ' 0% - 9%'
10 -< 20 = '10%-19%'
...
;
run;
And the choro statement would look like:
Choro &count / discrete coutline=black legend=legend1;
format &count mypct.;
Midpoints or Levels on the choro statement could also work but I prefer the explicit control of the custom format.
Easiest would be to use a custom format that groups your data into the desired range and use the Discrete option on the choro statement;
proc format;
value mypct
0 < 10 = ' 0% - 9%'
10 -< 20 = '10%-19%'
...
;
run;
And the choro statement would look like:
Choro &count / discrete coutline=black legend=legend1;
format &count mypct.;
Midpoints or Levels on the choro statement could also work but I prefer the explicit control of the custom format.
Thanks, that worked perfect!
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 16. Read more here about why you should contribute and what is in it for you!
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.