So i have a dataset with street adresses, they are formatted very differently. For example:
d <- c("street1234", "Street 423", "Long Street 12-14", "Road 18A", "Road 12 - 15", "Road 1/2")
From this I want to create two columns. 1. X: with the street address and 2. Y: with the number + everything that follows. Like this:
X Y
Street 1234
Street 423
Long Street 12-14
Road 18A
Road 12 - 15
Road 1/2
Until now I have tried strsplit and followed some similar questions here , for example: strsplit(d, split = "(?<=[a-zA-Z])(?=[0-9])", perl = T))
. I just can't seem to find the correct regular expression.
Any help is highly appreciated. Thank you in advance!
There may be whitespace between the letter and a digit, so add \s*
(zero or more whitespace symbols) between the lookarounds:
> strsplit(d, split = "(?<=[a-zA-Z])\\s*(?=[0-9])", perl = TRUE)
[[1]]
[1] "street" "1234"
[[2]]
[1] "Street" "423"
[[3]]
[1] "Long Street" "12-14"
[[4]]
[1] "Road" "18A"
[[5]]
[1] "Road" "12 - 15"
[[6]]
[1] "Road" "1/2"
And if you want to create columns based on that, you might leverage the separate
from tidyr package :
> library(tidyr)
> separate(data.frame(A = d), col = "A" , into = c("X", "Y"), sep = "(?<=[a-zA-Z])\\s*(?=[0-9])")
X Y
1 street 1234
2 Street 423
3 Long Street 12-14
4 Road 18A
5 Road 12 - 15
6 Road 1/2
This will also work:
do.call(rbind,strsplit(sub('([[:alpha:]]+)\\s*([[:digit:]]+)', '\\1$\\2', d), split='\\$'))
# [,1] [,2]
#[1,] "street" "1234"
#[2,] "Street" "423"
#[3,] "Long Street" "12-14"
#[4,] "Road" "18A"
#[5,] "Road" "12 - 15"
#[6,] "Road" "1/2"
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