Filtering a text column for a specific pattern

[Anonymous]

Hi all,

I have a text column containing part numbers. There are many different patterns for the part number, some containing just numbers, some having numbers separated by a hyphen, different lengths etc. 12345-678, ABCDEF, ABC-1234, 9876543, ZYXWVUT ...

I am trying to filter just those that have the specific format : first 3 characters are always letters followed by a hyphen followed by 4 numbers and nothing else after that eg ABC-1234. 

I have explored SEARCH, FIND, LEFT, RIGHT, ... but none are able to filter just the part numbers I am lookign for. Is there a way to filter based on a text template, or some other way to achieve what I am lookign for?

All help and suggestions greatefully received. 

[PlentyL]

I have managed to do it with the below! 🙂

[Chihiro · Accepted solution]

Best bet is to create custom function. But it requires iterating through string, not particulary smart or easy to do.

I'd suggest using R Script in the query editor.

pattern <- "^[[:alpha:]]{3}\\-\\d{4}"
isMatch <- function(x) {grepl(pattern, as.character(x), ignore.case=TRUE)}
return <- within(dataset,{Flag=isMatch(dataset$PartNumber)})

Replace "PartNumber" with your actual column name.

return.

Then it's simply filtering based on "Flag" column.

Edit: You can find RegEx pattern cheat sheet for R in link below.

https://www.rstudio.com/wp-content/uploads/2016/09/RegExCheatsheet.pdf

[kenshin64]

Hi, thanks for you solution. what if I'd like to apply it to multiple columns? thanks in advance

[Anonymous]

Genius, many thanks Chihiro.

I had not played with R before, but installed, ran your script and it worked first time.

I did notice that after running the script it seemed to have created 2 rows with ")" in the PartNumber field. I have deleted these rows but not sure how they get there. They are definitely created by running the R script as they are not there before.

[Chihiro]

You are welcom. I can't think of any reason why it would create extra rows...

R is very powerful tool and compliments PowerBI very well.