Formula Rejection in Google Data Studio

Google Data Studio

If there is an error in a calculated field formula, you’ll see a warning message, and you won’t be able to save the field.

When this happens it means your formula has been rejected by data studio:


If you are new to using calculated fields, you will often see yourself in the situation where your formula has been rejected by data studio. 

 

Following are the most common reasons why your formula is rejected by data studio:

#1 You used an invalid field name. If your field name is valid, it will automatically appear as a green or blue chip in the formula: 

Following are examples of an invalid field:

  • The field does not exist in the data set.
  • The field name has got spelling mistakes or some special character (like white space) in it.

#2 You used an invalid function name. If your function name is valid, it will automatically appear as an uppercase green text: 

A function which is not spelled correctly or which is not supported by data studio is an example of an invalid function:

#3 Missing quotes. Make sure all literal strings are properly quoted with single or double-quotes.

#4 Mismatched parentheses. When nesting functions, it is quite easy to miss a closing parenthesis. You need to make sure that you have the same number of opening parentheses as closing parentheses.

#5 Not using the correct parameters for your function can cause your formula to be rejected by data studio.

#6 Applying an aggregation function on already aggregated data. For example, the ‘Sessions’ metric is already summed in Google Analytics, so the formula SUM(Sessions) will produce an error:

#7 Mixing dimensions and metrics in function arguments. An expression can have either metrics, or dimensions, but not both:

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