palmerpenguins
ggplot2
names
values
readr::read_csv
janitor
skip = n
comment = "#"
col_names = FALSE
col_names
col_types
problems()
NA
\
fct_reorder()
dplyr::antijoin
forcats 1.0.0
join_by()
rescale01()
across()
[
[[
$
apply()
for()
table4a # only has the 'cases', not the 'population'
## # A tibble: 3 × 3 ## country `1999` `2000` ## <chr> <dbl> <dbl> ## 1 Afghanistan 745 2666 ## 2 Brazil 37737 80488 ## 3 China 212258 213766