10.7 Counting Groups

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

## # A tibble: 49 × 2
##    location         n
##    <chr>        <int>
##  1 Melbourne     4893
##  2 Williamtown   4709
##  3 Tuggeranong   4739
##  4 PerthAirport  4708
##  5 Portland      4709
##  6 Uluru         3278
##  7 Newcastle     4030
##  8 Albury        4740
##  9 Nuriootpa     4708
## 10 AliceSprings  4740
## # ℹ 39 more rows

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