I have some data cleared and processed from the Internet in this form:
>head(dat) count name episode percent 1 309 don 01-a-little-kiss 0.27081507 2 220 megan 01-a-little-kiss 0.19281332 3 158 joan 01-a-little-kiss 0.13847502 4 113 peggy 01-a-little-kiss 0.09903593 5 107 roger 01-a-little-kiss 0.09377739 6 81 pete 01-a-little-kiss 0.07099036
I am trying to create a table with a breakdown by regions similar to that here: Creating a breakdown by region using ggplot2
When i do
require(RCurl) require(ggplot2) link <- getURL("http://dl.dropbox.com/u/25609375/so_data/final.txt") dat <- read.csv(textConnection(link), sep=' ', header=FALSE, col.names=c('count', 'name', 'episode')) dat <- ddply(dat, .(episode), transform, percent = count / sum(count)) ggplot(dat, aes(episode, percent, group=name)) + geom_area(aes(fill=name, colour=name), position='stack')

I get this weird diagram.
I want the areas not to overlap with each other, and to fill the entire canvas, since the total percentage for each episode
ratio is 100%.
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