brew <- function() {
data(caffeine)
}
drink <- function() {
require(ggplot2)
# indicates most of drinks have low caffeine per floz
qplot(caffeine.mg.per.floz, data=caffeine, binwidth=10)
# you won't laugh when you see total amount of caffeine taken in your cup
qplot(caffeine.mg, data=caffeine, binwidth=10)
# most of drinks come in large cup if not super
qplot(fl.oz, data=caffeine, binwidth=10)
# total amount of caffeine mostly consistent for most of the drinks
qplot(drink, caffeine.mg, data=caffeine)
# even more consistent for caffeine per floz too
# however this does not tell you how much caffeine you really take
# only shows how dense the cup is
qplot(drink, caffeine.mg.per.floz, data=caffeine)
##########################################
# now let's get start the age old debate #
# #
# BREW vs ESPRESSO #
# #
##########################################
}
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