I've got a table and a character vector:
ACT_Suburbs_Names <- data.table(DivisionNm = c('ACTON', 'AINSLIE', 'AMAROO', 'ARANDA', 'BANKS'))
temp1 <- c('U1 336 DOORING ST ACTON', '65/78 ACHELON DR MOORONG')
The script below checks that the addresses in temp1 are in the list of addresses from ACT_Suburbs_Names.
future_sapply(temp1, function(x) str_contains(ACT_Suburbs_Names, x, ignore.case = TRUE))
It takes an enormous amount of time to process all the data that I've got. Anything faster? even in python would be ok.
Create a pattern and use regular expressions:
> library(tidyverse)
>
> ACT_Suburbs_Names <- c('ACTON', 'AINSLIE', 'AMAROO', 'ARANDA', 'BANKS')
>
> pat <- paste(ACT_Suburbs_Names, collapse = '|')
>
> temp1 <- c('U1 336 DOORING ST ACTON',
+ '65/78 ACHELON DR MOORONG',
+ 'asdf ARANDA asdfsadf',
+ ' asdfasfd BANK asdf',
+ ' sdafasdf BANKS asdf',
+ ' just junk')
>
> # find out which entries match - return the index of a match
>
> grep(pat, temp1)
[1] 1 3 5
>
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