The sub_missing() function

Use select columns from the exibble dataset to create a gt table. The NA values in different columns (here, we are using column indices in columns) will be given two variations of replacement text with two separate calls of sub_missing().

exibble |>
  dplyr::select(-row, -group) |>
  gt() |>
  sub_missing(
    columns = 1:2,
    missing_text = "missing"
  ) |>
  sub_missing(
    columns = 4:7,
    missing_text = "nothing"
  )
num char fctr date time datetime currency
1.111e-01 apricot one 2015-01-15 13:35 2018-01-01 02:22 49.950
2.222e+00 banana two 2015-02-15 14:40 2018-02-02 14:33 17.950
3.333e+01 coconut three 2015-03-15 15:45 2018-03-03 03:44 1.390
4.444e+02 durian four 2015-04-15 16:50 2018-04-04 15:55 65100.000
5.550e+03 missing five 2015-05-15 17:55 2018-05-05 04:00 1325.810
missing fig six 2015-06-15 nothing 2018-06-06 16:11 13.255
7.770e+05 grapefruit seven nothing 19:10 2018-07-07 05:22 nothing
8.880e+06 honeydew eight 2015-08-15 20:20 nothing 0.440