# A tibble: 0 x 15
# ... with 15 variables: skim_type <chr>, skim_variable <chr>, n_missing <int>,
#   complete_rate <dbl>, factor.ordered <lgl>, factor.n_unique <int>, factor.top_counts <chr>,
#   numeric.mean <dbl>, numeric.sd <dbl>, numeric.p0 <dbl>, numeric.p25 <dbl>, numeric.p50 <dbl>,
#   numeric.p75 <dbl>, numeric.p100 <dbl>, numeric.hist <chr>
