Last Updated: February 21, 2022

If a data field in your data source can have only one of the two possible values: true or false then you should use the Boolean field while setting up your data source schema.

For example, consider the following Google Sheets data source:

Here the field ‘Is Revenue > Forecasted Revenue’ can have only two possible values: TRUE or FALSE.

For Google Sheets, the values TRUE and FALSE are of type boolean. 

So, when setting up the data source schema, we should set the data type of the field ‘Is Revenue > Forecasted Revenue’ to ‘Boolean’:

This seems pretty straightforward, doesn’t it?

But here is the thing. 

This is not going to work. 

When you create a report from this data source schema which uses the  ‘Is Revenue > Forecasted Revenue’ field, you will get a system error:

That happened because Data Studio did not recognize the boolean values stored in Google Sheets as a boolean value. Instead, it treats these boolean fields as ‘text’ fields:

No matter how you store boolean values in Google Sheets (whether as true/false, TRUE/FALSE, 0/1, yes/no), Data Studio won’t recognize them as boolean values.

So, if you want to use a boolean field in Data Studio then you would need to create and use a calculated metric. 

My step-by-step blueprint for using Google Data Studio (50+ pages)

Get the FREE e-book on Google Data Studio (50+ Pages)

Yes I want the FREE ebook

Follow the steps below:

Step-1: Navigate to your data source schema editor and then change the data type of the field ‘Is Revenue > Forecasted Revenue’ from boolean to text:

Step-2: At the top right-hand side of your data source schema editor, find and click on the ‘ADD A FIELD’ button to create a new calculated field:

Step-3: Enter the name of your new calculated field. For example: ‘[NEW] Is Revenue > Forecasted Revenue’:

Step-4: Type the following text in the ‘Formula’ field: 

case when

followed by a white space:

Step-5: Hover your mouse over the field ‘Is Revenue > Forecasted Revenue’ then click on the + button:

After clicking on the + button, your formula field would look something like the one below:

Step-6: Enter a white space and then type the following text in your formula field:

= “TRUE” then true else false end

Make sure you see the green-colored checkmark at the bottom of the formula box.

This checkmark indicates that you have entered the formula correctly. 

If the formula that you have entered is not correct then you will see this symbol   instead of the green checkmark.

I entered the following formula:

case when Is Revenue > Forecasted Revenue = “TRUE” then true else false end

This means if the value of the field ‘Is Revenue > Forecasted Revenue’ is ‘TRUE’ then return true.  

Otherwise, return false.

The following formula won’t work:

In Data Studio, you can compare a dimension or metric only with a literal value. 

Here we are comparing the ‘Revenue’ dimension with another dimension called ‘Forecasted Revenue’ via the logical expression: Revenue > Forecasted Revenue 

Step-7: Click on the ‘FORMAT FORMULA‘ button to make your formula more readable:

After clicking on the ‘FORMAT FORMULA‘ button your formula would look like the one below:

Step-8: Click on the ‘Save’ button.

Step-9: Now click on ‘All Fields’ in order to navigate back to the data source schema editor:

You should now see the new calculated field, listed in your data source schema:

Note: All calculated fields have got this ‘fx’ symbol through which you can easily spot them.

Now when you create a report based on this data source schema which uses the new calculated field, it would look like the one below:

Following is a short video that shows how I created the calculated field and then used it in my report:

Other articles on Google Data Studio

1. Google Data Studio Alternative – Whatagraph
2. Google Data Studio Parameters explained with examples
3. Google Data Studio Number Formats / Data Types
4. How to Change Language in Google Data Studio
5. Google Data Studio Date Format and Time Explained
6. Google Data Studio Tutorial with FREE PDF ebook
7. Google Data Studio Functions, Formulas Tutorial
8. Google Data Studio Page Navigation Tutorial
9. Understanding Report Editor in Google Data Studio
10. Best practices for creating a report in Google Data Studio
11. How to share reports in Google Data Studio
12. Seven methods to create a new report in Google Data Studio
13. Google Data Studio Report Tutorial
14. How to invite people to view or edit a report in Google Data Studio
15. How to share the link of your report in Google Data Studio
16. Schedule email delivery of a report in Google Data Studio
17. How to download Data Studio report as PDF
18. How to embed a Data Studio report on a website
19. Guide to Data Types in Google Data Studio
20. Image function in Google Data Studio
21. Image Link data type in Google Data Studio
22. Image data type in Google Data Studio
23. Google Data Studio Geo Map – Latitude Longitude
24. Why You Should Avoid Using Functions and Calculated Fields in Data Studio
25. Google Data Studio Calculated Fields Tutorial
26. Working with the Text data type in Google Data Studio
27. The Data Set Configuration Error in Google Data Studio
28. Data Source Fields in Google Data Studio – Tutorial
29. Refresh data source schema fields in Google Data Studio
30. Google Data Studio Data Sources – Tutorial
31. Google Data Studio Dimension vs Metric
32. How to filter by email in Google Data Studio
33. Google Data Studio – Sharing Data Sources (aka data source schema)
34. Field editing in reports – Google Data Studio
35. Data Source Version History in Google Data Studio
36. Community Visualization Access in Google Data Studio
37. Understanding Data Source Credentials in Google Data Studio
38. Understanding Data Freshness in Google Data Studio
39. How to create and configure a data source in Google Data Studio
40. Google Data Studio Aggregation Explained
41. How to Edit a Calculated Field in Google Data Studio
42. Formula Rejection in Google Data Studio
43. Doing Basic Maths on Numeric Fields via Calculated Fields