I
I am Nick
Hi,
I have a txt file with all info in one collumn. Data is seperated by ":".
How do I convert them into collumns so that I can import them to access?
Company: Dufwa Design
Date : 15-10-2004
Address: Box 54,
ZIP Code: S-182 05 Djursholm
Country: Sweden
Phone: (46) 8-54496960
Fax: (46) 8-54490020
E-mail: (e-mail address removed)
Product/Service Category: Giftware, Premium & Hobbies>Giftware & Premiums
Contact: Ms Birgitta Dufwa
Position: Owner
Nature of Business: Importer
Company: MaerkesMaennen AB
Date : 15-10-2004
Address: Box 14363,
ZIP Code: S-400 20 Goeteborg
Country: Sweden
Phone: (46) 31-3333450
Fax: (46) 31-333460
E-mail: (e-mail address removed)
Website: www.markesmannen.se
Product/Service Category: Giftware, Premium & Hobbies>Giftware & Premiums
Contact: Mr Kjell Zanders
Position: President
Nature of Business: Importer
I would not mind doing some manual work with the data first.Would it at
least be possible to transpose the data so all records for each company get
to its own collumn, converting many rows like today to many collumns. Any
suggestions appreciated. Cheers Nick
I have a txt file with all info in one collumn. Data is seperated by ":".
How do I convert them into collumns so that I can import them to access?
Company: Dufwa Design
Date : 15-10-2004
Address: Box 54,
ZIP Code: S-182 05 Djursholm
Country: Sweden
Phone: (46) 8-54496960
Fax: (46) 8-54490020
E-mail: (e-mail address removed)
Product/Service Category: Giftware, Premium & Hobbies>Giftware & Premiums
Contact: Ms Birgitta Dufwa
Position: Owner
Nature of Business: Importer
Company: MaerkesMaennen AB
Date : 15-10-2004
Address: Box 14363,
ZIP Code: S-400 20 Goeteborg
Country: Sweden
Phone: (46) 31-3333450
Fax: (46) 31-333460
E-mail: (e-mail address removed)
Website: www.markesmannen.se
Product/Service Category: Giftware, Premium & Hobbies>Giftware & Premiums
Contact: Mr Kjell Zanders
Position: President
Nature of Business: Importer
I would not mind doing some manual work with the data first.Would it at
least be possible to transpose the data so all records for each company get
to its own collumn, converting many rows like today to many collumns. Any
suggestions appreciated. Cheers Nick