Created
October 22, 2012 18:15
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R plotting example: Box office performance and tweets
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# Data came in a series of directories named for major movies, | |
# each containing a variable number of files of corresponding tweets. | |
# Function that determines the number of tweets for a movie, given the name of the directory where the files reside. | |
numtweets=function(moviedir){ | |
files=list.files(moviedir, full.names=TRUE) | |
x={} | |
howmany=0 | |
for (i in 1:length(files)){ | |
appending=readLines(files[i]) | |
howmany=howmany+length(appending)} | |
return(howmany) | |
} | |
# This was a class project, so I entered each movie by hand, as in this example: | |
Saw3D="/data/movies/Saw_3D/" | |
x[1]=numtweets(Saw3D) | |
# For a larger project, it would have made sense to do this automatically. | |
# Data modification for plotting | |
money=as.numeric(gsub('[^0-9.]', '', data1$Opening.Box.Office.Performance)) | |
names=as.character(data1$Name) | |
# Plotting | |
plot(money,x,xlim=c(5000000,(max(money)+5000000)), | |
main="Correspondence between tweet counts and box office performance", | |
xlab="Box office performance, in dollars", ylab="Number of tweets") | |
textxy(money,x,names) |
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