10.7 Counting Groups

ds %>%
  count(location) %>%
  sample_frac()

## # A tibble: 49 × 2
##    location             n
##    <chr>            <int>
##  1 Witchcliffe       3648
##  2 Launceston        3680
##  3 MelbourneAirport  3649
##  4 Tuggeranong       3679
##  5 Newcastle         3680
##  6 NorfolkIsland     3649
##  7 Canberra          4076
##  8 Perth             3832
##  9 Albury            3680
## 10 Watsonia          3649
## # ℹ 39 more rows

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