Click here to see the SAS code.
Click here to see the example.
Note: You will need to disable google toolbar popup blocking
(ie, enable popups) for the charttips/drilldowns in this
example to work. The following google doc
seems to indicate you can click the 'popup button' to
add this site to the 'white list', but that doesn't seem
to work in the version of IE/google-toolbar I'm using.
In mine, the note at the bottom of the window says to
"Ctrl+bar" to allow the popup -- that seems to work.
** Note: for tooltips/drilldown to work in dev=javameta, you *must*
specify the imagemap= option. It doesn't matter what dataset you
specify as the imagemap output (you can use imagemap=foo) because
you won't use it for anything ... but by specifying this option,
it causes the metacodes to be generated in the metacode output.
The drilldown in this example is done in the traditional SAS/Graph way,
but using the new "goptions device=javameta" rather than gif ...
First, a character variable is created, containing the html tags for
the drilldown (href=) and the text charttip/rollover-text (title=)
as follows ...
length htmlvar $500;
'State: '|| trim(left(st)) ||'0D'x||
'Population: '|| trim(left(put(population,comma12.0)))
Then that variable is specified using the "html=" option in the
SAS/Graph "proc gplot" as follows...
proc gchart data=mydata;
hbar st / discrete
html=htmlvar <-------- here!
des="" name="&name" ;
The output is created using ODS HTML, and "goptions device=javameta".
With javameta, only *one* output file is produced - a single html file
containing the basic java "metacodes" to re-draw the graph on the
client end (ie, the web browser). If you look at the html file, you
can see the metacodes, but you won't really be able to identify
which metacodes represent your data (like you could with the
dev=java and dev=activex).
The advantage to dev=javameta is that it even works with very old
versions of java, and you can zoom & pan the graph without losing
resolution in the text & graphics (not such a big advantage in a
simple bar chart like the one in this example, but *very* useful
when you're viewing a very crowded graph or map!).
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