# A tibble: 5 x 14
  skim_type n_missing complete_rate factor.ordered factor.n_unique factor.top_coun… numeric.mean
* <chr>         <int>         <dbl> <lgl>                    <int> <chr>                   <dbl>
1 factor            0             1 FALSE                        3 set: 50, ver: 5…        NA   
2 numeric           0             1 NA                          NA <NA>                     5.84
3 numeric           0             1 NA                          NA <NA>                     3.06
4 numeric           0             1 NA                          NA <NA>                     3.76
5 numeric           0             1 NA                          NA <NA>                     1.20
# … with 7 more variables: numeric.sd <dbl>, numeric.p0 <dbl>, numeric.p25 <dbl>,
#   numeric.p50 <dbl>, numeric.p75 <dbl>, numeric.p100 <dbl>, numeric.hist <chr>
