Or, using SQL ...   data foo; input region $ 1-8 value population; datalines; Region A 5 82321556 Region B 6 50879514 Region C 7 9054876 Region B 4 50879514 Region C 6 9054876 Region A 8 82321556 Region B 4 50879514 Region C 1 9054876 Region B 3 50879514 Region A 9 82321556 Region C 4 9054876 Region A 2 82321556 ; run; proc sql; create table summarized_data as select unique region, population, sum(value) as sum_value from foo group by region, population; quit; run; proc print data=summarized_data; run; ... View more

Another option would be to use the older SAS/Graph proc gplot, where you can control the text font with "goptions ftext=". ... View more

Looks like you're trying to use the old SAS/Graph (gplot) style annotate dataset, with the new Base SAS (sgplot) graphics - that won't work. 🙂    Here's a slightly cleaned-up version of your code, which might be a good starting place for you (or someone to help) add the sgplot-style annotate. (Does this graph look like you're wanting, so far?)   data mydat; infile datalines; input year level $12. number_of_cases; datalines; 2001 1 90 2001 2 1 2001 3 5 2001 4 22 2001 no cases 35 2002 1 99 2002 2 4 2002 3 2 2002 4 55 2002 no cases 39 2003 1 200 2003 2 45 2003 3 77 2003 4 39 2003 no cases 23 2004 1 205 2004 2 19 2004 3 29 2004 4 15 2004 no cases 18 2005 1 159 2005 2 323 2005 3 99 2005 4 10 2005 no cases 28 2006 1 88 2006 2 10 2006 3 16 2006 4 55 2006 no cases 8 ; run; proc sql noprint; create table mydat as select mydat.*, sum(number_of_cases) as number_of_cases_sum from mydat group by year order by year, level; quit; run; data mydat; set mydat; format rel_freq percent7.0; rel_freq=number_of_cases/number_of_cases_sum; run; data myattrmap; infile datalines; input id $6. value $10. fillcolor $8.; datalines; level no cases CXA9A9A9 level 1 CX00FFFF level 2 CXFF7F50 level 3 CXFFF8DC level 4 CX006400 ; run; proc sgplot data=mydat dattrmap=myattrmap pad=(bottom=5%) noborder; vbarparm category=year response=rel_freq /group=level groupdisplay=stack attrid=level seglabel seglabelattrs=(size=8pt color=gray55) seglabelformat=percentn7.2 seglabelfitpolicy=none barwidth=0.6 missing; xaxis grid type=discrete discreteorder=data; xaxis display=(nolabel) valueattrs=(family="verdana" size=8pt) fitpolicy=rotate ValuesRotate=Vertical; yaxis display=(nolabel) valueattrs=(family="verdana" size=8pt); keylegend / location=outside position=bottomright across=0 title="" valueattrs=(size=8pt family="verdana") outerpad=(top=0.2cm) noborder; run; ... View more

Here's a little more information ...   Using this attribute map:   data attrmap; id = 'mycolors'; value='M'; fillcolor='lightblue'; textcolor='blue'; output; value='F'; fillcolor='pink'; textcolor='red'; output; run;   Let's first step back and take a look at a sgplot bar chart. The attribute map controls the bar segment colors, but if I just use the automatic 'datalabel' option on the vbarparm statement, the textcolor from the attrmap does not have an effect.   title "sgplot vbarparm with datalabel"; proc sgplot data=sashelp.class noautolegend dattrmap=attrmap; vbarparm category=name response=height/group=sex attrid=mycolors    datalabel=height groupdisplay=cluster; run;     However, if I add a custom text statement in which I can specify an attrid and group to specifically associate with the text, then the attribute map can control the color of the text.   title "sgplot vbarparm with 'text' statement"; proc sgplot data=sashelp.class noautolegend dattrmap=attrmap; vbarparm category=name response=height/datalabel group=sex attrid=mycolors; text x=name y=height text=height / position=top group=sex attrid=mycolors; run;     Since sgpie does not have a text statement, and only has the automatic labels, it is consistent (with bar charts) that the pie slice color is controlled by the attrmap, but the text would not be controlled by the attrmap:   title "sgpie"; proc sgpie data=sashelp.class noautolegend dattrmap=attrmap; pie sex  / attrid=mycolors; run;     ... View more

One correction/addition to what ballardw said - gmap does support transparency. Just specify an alpha-transparent color on the pattern statement (see pattern3 in this example, for the green polygon):   data examplemap; input id x y; datalines; 1 0 0 1 0 10 1 5 15 1 8 10 1 8 0 1 0 0 2 12 12 2 12 20 2 18 20 2 18 12 2 12 12 3 3 9 3 3 19 3 16 19 3 16 9 3 3 9 ;   data exampledata; input otherid x y; datalines; 1 0 .5 2 1 4 3 0 20 4 4 12 5 10 10 6 13 14 7 20 1 ;   data anno_dots; set exampledata; xsys='2'; ysys='2'; hsys='3'; when='a'; function='pie'; style='psolid'; rotate=360; size=1.0; run;   pattern1 v=s c=red; pattern2 v=s c=blue; pattern3 v=s c=A00ff0055;   proc gmap data=examplemap map=examplemap anno=anno_dots; id id; choro id; run;   proc ginside map=examplemap data=exampledata out=result includeborder; id id; run;   proc print data=result; run;     ... View more