Hello All! 😃
I need some help with my workflow. I am trying to parse these addresses into different columns as uniform and clean as possible. I do have many different countries in my data. I was thinking maybe a Regex Tool with a certain formula but cannot seem to figure it out. This the certain column from a worksheet that I am working on.
Here is an example of what my data looks like below:
First row is the company name
Second is the street name
Third row is the city/province and zip code
Fourth row is the country
Billing Address |
Laundromat
8576 Viviane Squares Suite 460
New Town Alaska 91221
United States |
Grocery Store
PO Box 1234
Land Hawaii 27145-1111
United States
|
Business Corporation
29598 Gabe Mall
Suite 921
Upton New York 92821
United States |
Market Store
United States |
ABC Industry
18 Marshall Ave, Suite 300
Collegeville PA 19426
United States |
123 Store
1560 Yonge St #107
Ontario QC M4V 3C6
Canada |
Toy Mart
Room 16z, Li Xiang 0769c2dong Bran Yuan 602hao Fang
Floris - Wiig District,
Dongguan, Wong Province 123456
China |
This is the result that I am trying to achieve
Billing Name | Billing Address | Suite Number | Billing City / District | Billing State / Province | Billing Country | Billing Zip |
Laundromat | 8576 Viviane Squares | Suite 460 | New Town | AK | United States | 91221 |
Grocery Store | PO Box 1234 | Land | HI | United States | 27145-1111 | |
Business Corporation | 29598 Gabe Mall | Upton | NY | United States | 92821 | |
Market Store | United States | |||||
ABC Industry | 18 Marshall Ave | Suite 300 | Collegeville | PA | United States | 19426 |
123 Store | 1560 Yonge | St #107 | Ontario | QC | Canada | M4V 3C6 |
Toy Mart | Li Xiang 0769c2dong Bran Yuan 602hao Fang | Room 16z | Dongguan | Wong Province | China | 123456 |
Hi @nberumen
Here is part of it, to make it look exact like your expected output, you need to apply some regex on some columns and rename the columns.
Thank you Felipe! This helps out a ton and makes it easier for me to get to the outcome I need. I appreciate the help!