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Created by tmoertel. Last edited by tmoertel 1355 days ago. Viewed 608 times. #4

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In case you're curious, here's the shell script and

R code that I used to generate the above plot:

#!/bin/bash# Generate all-states polling chart from electoral-vote.com data
# Tom Moertel <tom@moertel.com>
# 2004-11-02
# config
CSV=allpolls.csv
FILEBASE=polls-by-state
GS="gs -dSAFTER -dBATCH -dNOPAUSE"
# set up filenames
EPS=$FILEBASE.eps
PNG=$FILEBASE.png
PDF=$FILEBASE.pdf
# get polling data and add header to it
echo "Making sure we have polling data (delete $CSV to force download) ..."
[ -f $CSV ] ||
(    echo -n date,series,state,ev,kerry,bush,nader,released,
     echo    unk2,unk3,unk4,unk5,unk6,unk7,unk8,source
     GET http://www.electoral-vote.com/info/$CSV
) > $CSV
# use R to generate plot in Postscript format
# (uses X11 window so we can see the plot in passing)
echo Generating plots ...
R --no-save --no-init-file --no-restore-data  <<EOF
    polls <- read.csv("$CSV")
    require("lattice")
    trellis.device(x11, theme=col.whitebg())
    p <- xyplot(kerry + bush ~ date | state, data=polls,
                main="Polling Numbers by State (Nov 2)",
                auto.key=list(rectangles=F,x=.75,y=.875,corner=c(1,1)),
                xlab="Elapsed days (1 = Sep 1)",
                ylab="Percentage who would vote for candidate")
    p
    dev.copy2eps(file="$EPS",family="Helvetica-Narrow")
EOF
# create other graphics formats
echo Rasterizing into PNG format ...
$GS -sDEVICE=pngalpha -dBackgroundColor='16#ffeebb' -dEPSCrop \
    -sOutputFile=$PNG $EPS
echo Converting into PDF version ...
ps2pdf -dEPSCrop $SIZEPARMS $EPS
# done!
echo Done!

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