I have an import file that has zip codes with ending 0s.
E.g. 123450000 should be 12345
But also contains zip codes with the correct +4 and the 5 digit zip code.
Ideally, I want to import zip codes as one of the following:
123450000 = 12345
12345 = 12345
123456789 = 12345-6789
Is there a regular expression that can assist to format all the variations of zip code I have in my import file?
Thanks for your help!
I think it's as simple as having a dictionary that removes all instances of '0000' because I don't believe there are any zip codes with four zeros in a row.
Chloe, I am not sure that regex could do all of that however regex is not my strong suit.
I would personally use a bit of VB code in the Omatic API based on the order I wanted and what was most important to me. There would also be an assumption that the original data source has limited validity checking (i.e. it allows 5 digit zip + 0000 or possibly other non-valid formats) hence there may be a future need for 'data cleansing' if needed.
Assume that column "A" is where your zipcode data is. Note: none of the below is tested, syntactically checked or 'thoughtful/elegant' in approach.
dim zipval as string = ""
dim ziplen as integer = 0
'truncate to max 9 char's - may want to to check that they are all numeric but......
'if len is 9 then check if last 4 is 0000, if so we truncate the 0000 if not we put it in #####-#### format
if if ziplen=9 then
if mid(zipval,6,4)="0000" then
'as the len is not 9 char's we will simply take the first 5 #'