Hi!,
Need help in parsing the address into address 1, city, state, postcode, country. Below is the raw data and output.
Raw Data:
Address |
Au. Ricchieri Km 17; Tapiales, Buenos Aires 1771, AR |
Weerhuisweg 4; Maastricht, Limburg 6226, NL |
Route de la Fènerie; Pégomas, Alpes-Maritimes 06580, FR |
Lyndon B Johnson Fwy; Dallas, Texas 75237, US |
Los Angeles , CA, US |
Output:
address 1 | city | state | postcode | country |
Au. Ricchieri Km 17 | Tapiales | Buenos Aires | 1771 | AR |
Weerhuisweg 4 | Maastricht | Limburg | 06226 | NL |
Route de la Fènerie | Pégomas | Alpes-Maritimes | 06580 | FR |
Lyndon B Johnson Fwy | Dallas | TX | 75237 | US |
Los Angeles | CA | US |
Solved! Go to Solution.
Hi @BS_THE_ANALYST , it works but does not work if some address are unstructured.
@BS_THE_ANALYST below is a sample data. I added address 2 field. Should also apply on the first raw data I posted.
Address |
ATM conNorte; Mza. Tt. 9; Playa del Carmen, Quintana Roo 77710, MX |
Actor Dr; Woodstock, Ontario N4V 1B9, CA |
105 Monnet; Elancourt, FR |
Valencia, ES |
4th St; Davenport, Iowa 52801-1902, US |
Output:
address 1 | adress 2 | city | state | postcode | country |
ATM conNorte | Mza. Tt. 9 | Playa del Carmen | Quintana Roo | 77710 | MX |
Actor Dr | Woodstock | Ontario | N4V 1B9 | CA | |
105 Monnet | Elancourt | FR | |||
Valencia | ES | ||||
4th St | Davenport | IA | 52801-1902 | US |
@jatienza this is where things become really difficult. Look at that particular pattern:
They both match exactly the same but you want them in different columns. Also, some addresses now appear to have Address 1, Address 2? There could be Address 3, Address .. N.
When this amount of variety comes in, it's hard to establish a catch all RegEx expression.
I saw a recent post here trying to accomplish similar things: https://community.alteryx.com/t5/Alteryx-Designer-Discussions/Parsing-Out-City-Name/m-p/1083755/high... . Potentially you could use a lookup table to parse parts out using this concept.
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