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dbplyr
dplyr
dtplyr
duckplyr
forcats
ggplot2
glue
googledrive
googlesheets4
haven
hms
lubridate
magrittr
modelr
multidplyr
nycflights13
purrr
readr
readxl
reprex
rvest
stringr
tibble
tidyr
tidyverse
vroom
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dplyr::band_instruments (tbl_df)
dplyr::band_instruments2 (tbl_df)
dplyr::band_members (tbl_df)
dplyr::starwars (tbl_df)
dplyr::storms (tbl_df)
forcats::gss_cat (tbl_df)
ggplot2::diamonds (tbl_df)
ggplot2::economics (spec_tbl_df)
ggplot2::economics_long (tbl_df)
ggplot2::faithfuld (tbl_df)
ggplot2::luv_colours (data.frame)
ggplot2::midwest (tbl_df)
ggplot2::mpg (tbl_df)
ggplot2::msleep (tbl_df)
ggplot2::presidential (tbl_df)
ggplot2::seals (tbl_df)
ggplot2::txhousing (tbl_df)
lubridate::lakers (data.frame)
modelr::heights (tbl_df)
modelr::sim1 (tbl_df)
modelr::sim2 (tbl_df)
modelr::sim3 (tbl_df)
modelr::sim4 (tbl_df)
nycflights13::airlines (tbl_df)
nycflights13::airports (tbl_df)
nycflights13::flights (tbl_df)
nycflights13::planes (tbl_df)
nycflights13::weather (tbl_df)
stringr::fruit (character)
stringr::sentences (character)
stringr::words (character)
tidyr::billboard (tbl_df)
tidyr::cms_patient_care (tbl_df)
tidyr::cms_patient_experience (tbl_df)
tidyr::construction (tbl_df)
tidyr::fish_encounters (tbl_df)
tidyr::household (tbl_df)
tidyr::population (tbl_df)
tidyr::relig_income (tbl_df)
tidyr::smiths (tbl_df)
tidyr::table1 (tbl_df)
tidyr::table2 (tbl_df)
tidyr::table3 (tbl_df)
tidyr::table4a (tbl_df)
tidyr::table4b (tbl_df)
tidyr::table5 (tbl_df)
tidyr::us_rent_income (tbl_df)
tidyr::who (tbl_df)
tidyr::who2 (tbl_df)
tidyr::world_bank_pop (tbl_df)
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blob
dbplyr
dplyr
dtplyr
duckplyr
forcats
ggplot2
glue
googledrive
googlesheets4
haven
hms
lubridate
magrittr
modelr
multidplyr
nycflights13
purrr
readr
readxl
reprex
rvest
stringr
tibble
tidyr
tidyverse
vroom