.RData
gapminder
git config
filter()
select()
mutate()
arrange()
rename()
group_by()
saveRDS()
readRDS()
dput()
dget()
tibble::tibble()
tibble::tribble()
with()
ggsave()
Rplots.pdf
dplyr
aggregate()
NA
...
rnorm()
runif()
rpois()
rep()
letters
LETTERS
each
times
length.out
replicate()
for()
uiOutput()
You can follow along with the slides here if you would like to open them full-screen. The embedded code for feature engineering can be found here