I have a column data$Floor from a dataset imported from CSV that supposedly contains the floor of an apartment. Here is a sample data:
| Floor |
|---|
| Ground out of 2 |
| 1 out of 3 |
I wish to separate the data to have the floor and the total floors as following:
| Floor | Total Floors |
|---|---|
| Ground | 2 |
| 1 | 3 |
I have done write(str_replace_all(data$Floor, "out of", " "), data) with the intention of splitting the columns where the space is, then writing the changes to the dataset data but I have no idea how to do that.
>Solution :
You can use tidyr::separate:
tidyr::separate(data, Floor, c('Floor', 'Total Floors'), sep = ' out of ')
#> Floor Total Floors
#> 1 Ground 2
#> 2 1 3
Data used
data <- data.frame(Floor = c("Ground out of 2", "1 out of 3"))
data
#> Floor
#> 1 Ground out of 2
#> 2 1 out of 3