jwcolby
jwcolby at colbyconsulting.com
Wed Sep 26 08:54:09 CDT 2007
The general argument is that you have THREE columns. PKID TypeOfDataID Data The TypeOfDataID might be: 1 Cities 2 States 3 Name prefixes (Mr. etc) 4 Address Types Etc Etc So you might have data that looks like: 1 2 CA 2 2 AZ 3 3 Mr 4 3 Mrs 5 4 Home 6 4 Work 7 4 Shipping 8 1 San Diego Thus you have place all of your single column "type of something" data into a single table with another column which allows you to find only the cities, or states, or types of addresses or (place your list data type here). It works, but it causes headaches, but people do it. John W. Colby Colby Consulting www.ColbyConsulting.com -----Original Message----- From: accessd-bounces at databaseadvisors.com [mailto:accessd-bounces at databaseadvisors.com] On Behalf Of Susan Harkins Sent: Wednesday, September 26, 2007 9:42 AM To: 'Access Developers discussion and problem solving' Subject: Re: [AccessD] Mucking around Except that tables are supposed to store like data, not data that simply looks similar and happens to have the same structure. I would think the data's purpose matters more in the decision than the data's structure. Susan H. LOL. Proper normalization says that it is not necessary. Never the less there are those who argue vociferously for this method. -- AccessD mailing list AccessD at databaseadvisors.com http://databaseadvisors.com/mailman/listinfo/accessd Website: http://www.databaseadvisors.com