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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