-- [FEB-20-24 Monica Vosilla] -------------- Hi Callie, would you please submit a separate request for the vanity URL? There are additional fields that we need populated for that. Please access the project and click on the blue button to add another website request. -Monica  -- [FEB-26-24 Monica Vosilla] -------------- Hi Callie, I've made the updates to the fund page. I'll keep the ticket open so you can add the vanity URL request once the appeal code is ready. - Monica  -- [FEB-29-24 Monica Vosilla] -------------- Hi Callie, the spendable fund page is live: https://www.uff.ufl.edu/giving-opportunities/027082-richard-c-christensen-m-d-visiting-lecture-fund/.

-Monica 
 
File
File Type
Notes
Preview
 
Richard C. Christensen M.D. Visiting Lecture Fund.docx Body File Body text for the NEW fund page that's created. 
Christensen-Richard.jpg Artwork File Photo for NEW giving page.
Christensen-Richard.jpg Artwork File Alternative photo option
Christensen.jpg Artwork File  
Created on Feb. 20 at  2:11 PM (EST). Last updated by Phenicie, Jason on March  8 at  6:31 AM (EST). Owned by Anonymous.
Anonymous
Jason Phenicie
Show fields from Show fields from Show fields from a related table
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When you bring additional fields into a conversion, Quickbase often finds inconsistencies. For example, say you're converting your Companies column into its own table. One company, Acme Corporation, has offices in New York, Dallas and Portland. So, when you add the City column to the conversion, Quickbase finds three different locations for Acme. A single value in the column you're converting can only match one value in any additional field. Quickbase needs you to clean up the extra cities before it can create your new table. To do so, you have one of two choices:

  • If you want to create three separate Acme records (Acme-New York, Acme-Dallas and Acme-Portland) click the Conform link at the top of the column.
  • If the dissimilar entries are mistakes (say Acme only has one office in New York and the other locations are data-entry errors) go back into your table and correct the inconsistencies—in this case, changing all locations to New York. Then try the conversion again.

Read more about converting a column into a table.

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