Determine whether a field has an Average in reports
field total
You need to know whether a field in QuickBase has an Average at the bottom of reports in QuickBase.
require 'QuickBaseClient'

qbc = QuickBase::Client.new

qbc.getSchema("93htvp8y")

if qbc.isAverageField?("Subject")
    puts "The 'Subject' field in the QuickBase Community Forum has an Average at the bottom of reports."
else
    puts "The 'Subject' field in the QuickBase Community Forum does not have a Average at the bottom of reports."
end

if qbc.isAverageField?("# of Posts")
    puts "The '# of Posts' field in the QuickBase Community Forum has a Average at the bottom of reports."
else
    puts "The '# of Posts' field in the QuickBase Community Forum does not have a Average at the bottom of reports."
end
This is useful if you want to duplicate a QuickBase report in an HTML page or some other format outside QuickBase.
isAverageField.rb
One-Click Ruby Installer for Windows Ruby wrapper for QuickBase HTTP API
Created on March  3, 2008 at  8:45 PM (PST). Owned by Quick Base.
Quick Base
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Description
Reports and Charts Panel
Each table has a panel listing its reports and charts, organized in groups.
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Field label
Column heading override
Justification
What does auto mean?
Fields in:

Fields to Extract:

Name for the new table:
Items in the new table are called:

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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