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()
df4 |> separate_wider_position( x, widths = c(year = 4, 2, state = 2) )
## # A tibble: 3 × 2 ## year state ## <chr> <chr> ## 1 2022 TX ## 2 2021 LA ## 3 2023 CA