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