Created
March 21, 2010 12:35
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Analysis of Winter Olympic Medals
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# tips on reading a Google Spreadsheet: | |
# http://blog.revolution-computing.com/2009/09/how-to-use-a-google-spreadsheet-as-data-in-r.html | |
# Data taken from:"https://spreadsheets.google.com/ccc?key=0AgdO92JOXxAOdDVlaUpkNlB2WERtV3l1ZVFYbzllQWc" | |
# http://www.guardian.co.uk/news/datablog/2010/feb/11/winter-olympics-medals-by-country | |
googleLink <- "http://spreadsheets.google.com/pub?key=tsddww6vOYePkhPSxRpDeYw&single=true&gid=1&output=csv" | |
medals <- read.csv(googleLink, stringsAsFactors = FALSE) | |
savePlot <- TRUE # optional variable used to save or not save plots in code | |
# remove rows that do not contain data | |
medals$Year <- as.numeric(medals$Year) | |
medals <- medals[!is.na(medals$Year), ] | |
# Quick look at data | |
head(medals) | |
sapply(medals, function(x) cbind(sort(table(x), decreasing = TRUE))) | |
# How many medals have been awarded in each Olympics? | |
medalsByYear <- aggregate(medals$Year, list(Year = medals$Year), length) | |
if (savePlot == TRUE) png("fig1.png") | |
plot(x ~ Year, medalsByYear, ylim = c(0,max(x)), | |
ylab = "Total Medals Awarded", bty="l", | |
main = "Total Medals Awarded in Winter Olympics by Year") | |
if (savePlot == TRUE) dev.off() | |
# How has the amount of medals awarded to males and females changed over the years? | |
# Get data. | |
medalsByYearByGender <- aggregate(medals$Year, | |
list(Year = medals$Year, Event.gender = medals$Event.gender), length) | |
medalsByYearByGender <- medalsByYearByGender[medalsByYearByGender$Event.gender != "X", ] | |
# Plot results. | |
if (savePlot == TRUE) png("fig2.png") | |
plot(x ~ Year, medalsByYearByGender[medalsByYearByGender$Event.gender == "M", ], | |
ylim = c(0,max(x)), pch = "m", col = "blue", | |
ylab = "Total Medals Awarded", bty="l", | |
main = "Total Medals Awarded in Winter Olympics\n by Gender and by Year") | |
points(medalsByYearByGender[medalsByYearByGender$Event.gender == "W", "Year"], | |
medalsByYearByGender[medalsByYearByGender$Event.gender == "W", "x"], | |
col = "red", pch = "f") | |
if (savePlot == TRUE) dev.off() | |
# Table of proportion female | |
propFemalePerYear <- medalsByYearByGender[medalsByYearByGender$Event.gender == "W", "x"] / ( | |
medalsByYearByGender[medalsByYearByGender$Event.gender == "W", "x"] + | |
medalsByYearByGender[medalsByYearByGender$Event.gender == "M", "x"]) | |
propFemalePerYear <- round(propFemalePerYear, 2) | |
cbind(Year = medalsByYearByGender[medalsByYearByGender$Event.gender == "W", "Year"], | |
PropFemale = propFemalePerYear) | |
# Which countries have won the most medals? | |
sort(table(medals$NOC), dec = TRUE) | |
# Of the countries that have won more than 50 medals, | |
# which have the highest percentage of gold medals? | |
NOC50Plus <- names(table(medals$NOC)[table(medals$NOC) > 50]) | |
medalsSubset <- medals[medals$NOC %in% NOC50Plus, ] | |
medalsByMedalByNOC <- prop.table(table(medalsSubset$NOC, medalsSubset$Medal), margin = 1) | |
medalsByMedalByNOC <- medalsByMedalByNOC[order(medalsByMedalByNOC[, "Gold"], | |
decreasing = TRUE), c("Gold", "Silver", "Bronze")] | |
round(medalsByMedalByNOC, 2) | |
# How many different countries have won medals by year? | |
listOfYears <- unique(medals$Year) | |
names(listOfYears) <- unique(medals$Year) | |
totalNocByYear <- sapply(listOfYears, function(X) | |
length(table(medals[medals$Year == X, "NOC"]))) | |
# Table | |
totalNocByYear | |
# Plot | |
if (savePlot == TRUE) png("fig3.png") | |
plot(x= names(totalNocByYear), totalNocByYear, | |
ylim = c(0, max(totalNocByYear)), | |
xlab = "Year", | |
ylab = "Total Number of Countries", | |
bty = "l", | |
main = "Total Number of Countries\n Winning Medals By Year") | |
if (savePlot == TRUE) dev.off() | |
# Which Countries have won a medal at every Olympics? | |
propYearsOnePlusMedals <- apply(table(medals$NOC, medals$Year) > 0, 1, mean) | |
#Answer | |
names(propYearsOnePlusMedals[propYearsOnePlusMedals == 1.0]) | |
# Table Sorted by Proportion of Olympics with a Medal | |
cbind(sort(propYearsOnePlusMedals, decreasing = TRUE)) |
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