79 lines
2.7 KiB
R
79 lines
2.7 KiB
R
# Calculates summary statistics and conducts basic regression analysis to determine
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# whether movies which pass the Bechdel test do better or worse at the box office,
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# using data from www.bechdeltest.com and www.the-numbers.com
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# By Andrew Flowers <andrew.flowers@fivethirtyeight.com>
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# See also http://fivethirtyeight.com/features/the-dollar-and-cents-case-against-hollywoods-exclusion-of-women/
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# Install and load required packages
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# install.packages(c("gdata", "cwhmisc"))
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library(gdata)
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library(cwhmisc)
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# Load data
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rawData<-read.csv("movies.csv", na.strings="#N/A")
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# Select movies pre-1990, and format $-denominated data fields
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rawData<-rawData[rawData$year>1989,]
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# International-only gross profits (which equal total profits minus domestic profits)
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rawData$intOnly<-rawData$intgross_2013.-rawData$domgross_2013.
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# Return on Investment (ROI) measures
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rawData$ROI<-rawData$intgross_2013./rawData$budget_2013. # Total ROI
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rawData$ROI1<-rawData$domgross_2013./rawData$budget_2013. # Domestic ROI
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rawData$ROI2<-rawData$intOnly/rawData$budget_2013. # International ROI
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# Divide movies into FAIL and PASS divisions
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failMovies<-rawData[rawData$binary=="FAIL",]
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passMovies<-rawData[rawData$binary=="PASS",]
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# Include a "generous" category (which includes both "ok" and "dubious" movies)
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generous<-rbind(rawData[rawData$clean_test=="ok",], rawData[rawData$clean_test=="dubious",])
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# Print medians: ROI and budget
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median(failMovies$ROI, na.rm=T)
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median(passMovies$ROI, na.rm=T)
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median(rawData$ROI, na.rm=T)
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median(failMovies$budget_2013.)
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median(passMovies$budget_2013.)
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median(rawData$budget_2013.)
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# Distributions and logs
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hist(rawData$budget_2013.)
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hist(log(rawData$budget_2013.))
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hist(rawData$intgross_2013.)
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hist(log(rawData$intgross_2013.))
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hist(rawData$ROI)
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hist(log(rawData$ROI))
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# Linear regression models
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# Movies with higher budgets make more gross revenues
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summary(lm(log(intgross_2013.)~log(budget_2013.), data=rawData))
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# Bechdel dummy is not significant
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summary(lm(log(intgross_2013.)~log(budget_2013.)+factor(binary), data=rawData))
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# Movies with higher budgets have lower ROI
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summary(lm(log(ROI)~log(budget_2013.), data=rawData))
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# Bechdel dummy is not significant
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summary(lm(log(ROI)~log(budget_2013.)+factor(binary), data=rawData))
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# ROI #1 (domestic) used in chart
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median(generous$ROI1, na.rm=T)
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median(rawData$ROI1[rawData$clean_test=="men"], na.rm=T)
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median(rawData$ROI1[rawData$clean_test=="notalk"], na.rm=T)
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median(rawData$ROI1[rawData$clean_test=="nowomen"], na.rm=T)
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# ROI #2 (international) used in chart
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median(generous$ROI2, na.rm=T)
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median(rawData$ROI2[rawData$clean_test=="men"], na.rm=T)
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median(rawData$ROI2[rawData$clean_test=="notalk"], na.rm=T)
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median(rawData$ROI2[rawData$clean_test=="nowomen"], na.rm=T)
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