How to work with the Boolean field in Google Data Studio

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:

google data studio boolean data type 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’:

google data studio boolean data type set the data type of the field

This seems pretty straightforward. 

Isn’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:

google data studio boolean data type system error google data studio

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:

google data studio boolean data type Data Studio did not recognize the boolean values

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. 

Get the ebook on Google Data Studio (50+ Pages)Get the ebook on Google Data Studio (50+ Pages)

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:

google data studio boolean data type Navigate to your data source schema editor

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:

google data studio boolean data type ADD A FIELD google data studio

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

google data studio boolean data type Enter the name of your new calculated field

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

case when

followed by a white space:

google data studio boolean data type Type the following text in the Formula field

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

google data studio boolean data type Hover your mouse over the field

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

google data studio boolean data type The following formula wont work 1

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

= “TRUE” then true else false end

google data studio boolean data type type the following text in your formula field

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

google data studio boolean data type green colored checkmark

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.

google data studio boolean data type red icon

I entered the following formula:

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

Which 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:

google data studio boolean data type The following formula wont 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:

google data studio boolean data type FORMAT FORMULA 1

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

google data studio boolean data type FORMAT FORMULA 2

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:

google data studio boolean data type All Fields

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

google data studio boolean data type new calculated field

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:

google data studio boolean data type create a report based on this data source schema

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

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
error: Alert: Content is protected !!