Wrangling rows

drop_na()

{tidyr}

drop rows containing missing values

summarize()

{dplyr}

summarize data usually by grouping variable

if_any()

{dplyr}

apply function to columns and return TRUE if any values are TRUE

across()

{dplyr}

apply transformation across multiple columns

arrange()

{dplyr}

change order of rows based on values of columns

group_by()

{dplyr}

group data by levels of column

count()

{dplyr}

count unique values of variables

desc()

{dplyr}

order in descending order

n()

{dplyr}

return current group size

ungroup()

{dplyr}

remove grouping

count()

{plyr}

count unique values of variables

filter()

{dplyr}

keep rows based on values of columns

The end!