Thinking about getting a master’s degree in data science? You may want to consider studying abroad to save some money. The chart below shows the distribution of various programs’ annual tuition cost.
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## layout#School Costs
dollarConversion <- 1.09
dollarConversionHK <- 0.13
school.name <- c("Paris Telecom", "Essec", "Paris Descartes", "Carnegie Mellon", "WPI", "NYU", "UMass Amherst", "University of Hong Kong")
annual.cost <- c((17000/15*12*dollarConversion),20000*dollarConversion, 300*dollarConversion,45000, 25344, 25357, 16000, 55000*dollarConversionHK)
country <- c(rep("France", 3), rep("USA",4), rep("China",1))
df <- data.frame(school.name, country, annual.cost)
plot <- plot_ly(data=df, y = annual.cost, color = country, type ="box")## Warning in arrange_impl(.data, dots): '.Random.seed' is not an integer
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