How to select most common values in a column
Solution 1:
starwars %>%
count(homeworld, sort = TRUE) %>%
slice(1:2) %>%
left_join(starwars)
Result
Joining, by = "homeworld"
# A tibble: 21 x 15
homeworld n name height mass hair_color skin_color eye_color birth_year sex gender species films vehicles starships
<chr> <int> <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> <chr> <list> <list> <list>
1 Naboo 11 R2-D2 96 32 NA white, blue red 33 none masculine Droid <chr [7… <chr [0… <chr [0]>
2 Naboo 11 Palpatine 170 75 grey pale yellow 82 male masculine Human <chr [5… <chr [0… <chr [0]>
3 Naboo 11 Jar Jar Bin… 196 66 none orange orange 52 male masculine Gungan <chr [2… <chr [0… <chr [0]>
4 Naboo 11 Roos Tarpals 224 82 none grey orange NA male masculine Gungan <chr [1… <chr [0… <chr [0]>
5 Naboo 11 Rugor Nass 206 NA none green orange NA male masculine Gungan <chr [1… <chr [0… <chr [0]>
6 Naboo 11 Ric Olié 183 NA brown fair blue NA NA NA NA <chr [1… <chr [0… <chr [1]>
7 Naboo 11 Quarsh Pana… 183 NA black dark brown 62 NA NA NA <chr [1… <chr [0… <chr [0]>
8 Naboo 11 Gregar Typho 185 85 black dark brown NA male masculine Human <chr [1… <chr [0… <chr [1]>
9 Naboo 11 Cordé 157 NA brown light brown NA female feminine Human <chr [1… <chr [0… <chr [0]>
10 Naboo 11 Dormé 165 NA brown light brown NA female feminine Human <chr [1… <chr [0… <chr [0]>
# … with 11 more rows
Solution 2:
Something like this?
starwars %>%
select(name, sex, homeworld, species) %>%
filter(!is.na(homeworld)) %>%
count(homeworld, name="worldcount", sort = TRUE) %>%
slice_max(n=2, order_by = worldcount, with_ties = FALSE)
homeworld worldcount
<chr> <int>
1 Naboo 11
2 Tatooine 10