I have a data frame of around 100 columns. I want to find a way to change empty cells to a "Missing" value in all columns that are factors. After extensive search, I managed to find a few solutions online

```
mutate_if(is.factor, fct_explicit_na, na_level = "Missing")
```

```
mutate_if(is.factor, ~replace_na(., "Missing"))
```

```
mutate(across(where(is.factor), ~fct_explicit_na(., na_level = "Missing"))
```

none of which unfortunately work.

The whole code i am using

```
TempData <- TempData %>%
transform(
A = as.factor(A)
,B = as.factor(B)
,C = as.factor(C)
,D = as.factor(D)) %>%
mutate_if(is.factor, fct_explicit_na, na_level = "Missing")
```

In what other way can I replace empty values to "Missing" in a way that I dont have to type every single column.

Thanks