I'm new with tidyverse in R.
I have a dataframe radio
, from a radio channel, from a specfic date with variables: artist, song, duration.
My aim is to find which artist that has the most different songs playing on the choosen date.
radio %>% select(artist, song) %>% arrange...
and then I'm lost. Please help if anyone is good at this.
CodePudding user response:
you can group_by
artist song and then compute the different songs:
radio %>%
select(artist, song) %>%
group_by(artist) %>%
summarise(n_song = n_distinct(song), .groups = "drop") %>%
arrange(-n_song)