Formula Rejection in Google Data Studio

My step-by-step blueprint for using Looker Studio (formerly Google Data Studio)

Get the FREE ebook on Looker Studio (75 Pages)

Yes I want the FREE ebook

 

Last Updated: December 11, 2022

Note: Google Data Studio is now known as Looker Studio.

If there is an error in your calculated field’s formula, you’ll see a warning message like WHEN conditions must compare a dimension or metric with a literal value and you won’t be able to save the field: 

WHEN conditions must compare a dimension or metric with a literal value

When this happens it means your formula has been rejected by Looker Studio.

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

The most common reasons why your formula is rejected by Looker Studio:

#1 You used an invalid field name

If your field name is valid, it will appear as a green or blue chip in the formula: 

field name is valid

However, if your field name is not valid, it will not appear as a green or blue chip in the formula.

If you reference a field that does not exist in your data source then it is going to be an invalid field. 

Similarly, if your field has got a spelling mistake or some special character (like white space) in it then it is going to be invalid.

And when Looker Studio encounters an invalid field in a formula it rejects the formula. 

For example in the screenshot below, Looker Studio does not recognize ‘Sales’ as a valid field and that’s why you see the error message ‘Unknow dimension or metric id: Sales‘:

Unknow dimension or metric id: Sales

#2 You used an invalid function name 

If your function name is valid, it will automatically appear as an uppercase green text: 

avg function google data studio

A function that is not spelt correctly or which is not supported by Looker Studio is an example of an invalid function.

For example, in the screenshot below the function ‘concatenate’ is not a valid function name:

Unsupported operator: CONCATENATE

Therefore it is rejected by Looker Studio and you see the error message ‘Unsupported operator: CONCATENATE”.

However, the function ‘CONCAT‘ is valid and that’s why it appears as an uppercase green text:

CONCAT

#3 Missing quotes

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

For example, in the formula below the string ‘yes’ is not surrounded by a single or double quote and because of that reason, Looker Studio rejected the formula and you see the error message: ‘Invalid formula: Invalid input expression – Invalid filter argument‘:

Invalid formula: Invalid input expression - Invalid filter argument

When the string ‘yes’ is surrounded by a single quote, the formula becomes valid:

valid formula google data studio

#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.

For example, in the formula below we are nesting the ‘CONCAT’ function:

Syntax error: Expected ")"

However, since the number of opening parentheses is not the same as the closing parentheses, Looker Studio rejected the formula and you see the error message: Syntax error: Expected “)”.

The formula below contains the same number of opening parentheses as closing parentheses and is therefore valid:

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 Looker 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 be rejected by Looker Studio and you will see the error message ‘Re-aggregating metrics is not supported‘:

Re-aggregating metrics is not supported

Another example:

Re-aggregating metrics is not supported

#7 Mixing dimensions and metrics in function arguments 

An expression can have either metrics or dimensions, but not both.

For example, the formula below is made up of an expression that contains both dimension (the field ‘medium’) and metric (the field ‘Sessions’) and because of that reason, Looker Studio rejected the formula and you see the error message: ‘Sorry Calculated fields can’t mix metrics (aggregated values) and dimensions (non-aggregated values). Please check the aggregation types of the fields in this formula.‘:

Sorry Calculated fields can't mix metrics (aggregated values) and dimensions (non-aggregated values). Please check the aggregation types of the fields in this formula
  1. Looker Studio Alternative – Whatagraph
  2. Looker Studio Parameters explained with examples
  3. Looker Studio Number Formats / Data Types
  4. How to Change Language in Looker Studio
  5. Looker Studio Date Format and Time Explained
  6. Looker Studio Tutorial with FREE PDF ebook
  7. Looker Studio Functions, Formulas Tutorial
  8. How to work with the Boolean field in Looker Studio
  9. Looker Studio Page Navigation Tutorial
  10. Understanding Report Editor in Looker Studio
  11. Best practices for creating a report in Looker Studio
  12. How to share reports in Looker Studio
  13. Seven methods to create a new report in Looker Studio
  14. Looker Studio Report Tutorial
  15. How to invite people to view or edit a report in Looker Studio
  16. How to share the link of your report in Looker Studio
  17. Schedule email delivery of a report in Looker Studio
  18. How to download Looker Studio report as PDF
  19. How to embed a Looker Studio report on a website
  20. Guide to Data Types in Looker Studio
  21. Image function in Looker Studio
  22. Image Link data type in Looker Studio
  23. Image data type in Looker Studio
  24. Looker Studio Geo Map – Latitude Longitude
  25. Why You Should Avoid Using Functions and Calculated Fields in Looker Studio
  26. Looker Studio Calculated Fields Tutorial
  27. Working with the Text data type in Looker Studio
  28. The Data Set Configuration Error in Looker Studio
  29. Data Source Fields in Looker Studio – Tutorial
  30. Refresh data source schema fields in Looker Studio
  31. Looker Studio Data Sources – Tutorial
  32. Looker Studio Dimension vs Metric
  33. How to filter by email in Looker Studio
  34. Looker Studio – Sharing Data Sources (aka data source schema)
  35. Field editing in reports – Looker Studio
  36. Data Source Version History in Looker Studio
  37. Community Visualization Access in Looker Studio
  38. Understanding Data Source Credentials in Looker Studio
  39. Understanding Data Freshness in Looker Studio
  40. How to create and configure a data source in Looker Studio
  41. Looker Studio Aggregation Explained
  42. How to Edit a Calculated Field in Looker Studio
  43. Doing Basic Maths on Numeric Fields via Calculated Fields

Register for the FREE TRAINING...

"How to use Digital Analytics to generate floods of new Sales and Customers without spending years figuring everything out on your own."



Here’s what we’re going to cover in this training…

#1 Why digital analytics is the key to online business success.

​#2 The number 1 reason why most marketers are not able to scale their advertising and maximize sales.

#3 Why Google and Facebook ads don’t work for most businesses & how to make them work.

#4 ​Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.

#5 The number 1 reason why conversion optimization is not working for your business.

#6 How to advertise on any marketing platform for FREE with an unlimited budget.

​#7 How to learn and master digital analytics and conversion optimization in record time.



   

My best selling books on Digital Analytics and Conversion Optimization

Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.

Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.

Attribution Modelling in Google Analytics and BeyondSECOND EDITION OUT NOW!
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.

Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.

About the Author

Himanshu Sharma

  • Founder, OptimizeSmart.com
  • Over 15 years of experience in digital analytics and marketing
  • Author of four best-selling books on digital analytics and conversion optimization
  • Nominated for Digital Analytics Association Awards for Excellence
  • Runs one of the most popular blogs in the world on digital analytics
  • Consultant to countless small and big businesses over the decade

Get the FREE ebook on Looker Studio (formerly Google Data Studio) (75 pages)

X
error: Alert: Content is protected !!