10.7 Counting Groups

ds %>%
  count(location) %>%
  sample_frac()
## # A tibble: 49 × 2
##    location          n
##    <chr>         <int>
##  1 PerthAirport   4105
##  2 Adelaide       3924
##  3 Nuriootpa      4105
##  4 Sydney         4441
##  5 PearceRAAF     4105
##  6 GoldCoast      4137
##  7 MountGinini    4125
##  8 Moree          4106
##  9 NorfolkIsland  4106
## 10 Watsonia       4106
## # … with 39 more rows


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