Click here to see the SAS code.
Click here to see the example.
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After the Fall 2006 elections, Fran Miles sent me the following links
to some info about the vote ...
W-SchoolBond.html
PollingPlaceDetails_Web.xls
Darrell Massengil had an ESRI shape file of the voting precincts,
so I decided to try to put the data together with the map.
(Note that the map is not guaranteed to be 100% current with
the data - it might be a couple years old.)
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I used v9.2 "proc mapimport" to read in the ESRI map into a SAS
dataset which "proc gmap" can use.
I used "proc import" to read in the excel spreadsheet(s) of
election data.
I merged the vote count data with the polling-places data,
so that I could add some text description about the polling
places when I plot the map. I use gmap's html= option to
display this info as html charttips/rollover-text.
I do my own "binning" of the data so I can split the bins
exactly where I want (in particular, I definitely wanted
to have a split for above/below 50 percent).
When the 'yes' votes were less than 50%, I make those shades of red,
and above 50% (ie, the vote passing) I make those shades of green.
The bond vote seemed to have a higher acceptance rate in the
urban/city areas (Raleigh & Cary), and found more opposition
in the rural/outlying areas.
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