Google Data Studio Report Tutorial

Last Updated: February 13, 2022

report sample 1

Reports in Google Data Studio are used to tell stories with data

Every report you create should have some purpose. The purpose can be to provide actionable insight, give recommendations or persuasion. 

  • The person who creates the report is called the ‘report author’ or ‘report creator’.
  • The person who edits the report is called the ‘report editor’.
  • The person who consumes the report is called the ‘report viewer’.

Best Practices for Creating a Google Data Studio report

Following are some best practices for creating a report in Data Studio:

  1. Understand who your report is meant for.
  2. Keep it short and simple.
  3. Use a report template whenever you can to create a new report.
  4. Avoid pulling data directly from a data platform into your reports.
  5. Avoid charting data for the current day in your reports.
  6. Avoid using functions and calculated fields in your reports.
  7. Distribute related charts across multiple pages.

To learn more about these best practices, check out this article: Best practices for creating a report in Google Data Studio

Seven methods to create a new report in Data Studio

You can create a new Data Studio report in the following ways:

#1 From the home page (Create menu > Report > Select Connector > Select data source)

#2 From the home page (Create menu > Report > My data sources > Select data source schema)

#3 While editing a report (File menu > New Report)

#4 While editing a report (File menu > Make a Copy)

#5 While creating or editing a data source schema (click on the ‘Create Report’ button).

#6 From the home page (click on the ‘Blank Report’ button).

#7 From the home page (click on the ‘Template Gallery’ button).

To learn more about these report creation methods, check out this article: Seven methods to create a new report in Google Data Studio

The template gallery list ready to use report templates. Use these templates to create fully functional and attractive data studio reports in seconds.

You can find the Google Data Studio template gallery in two places:

template galary 1

When you click on this link, you can see the list of available report templates:

templates
report galary

The Data Studio report gallery lists report templates under the following four categories:

#1 Featured (these are the report templates featured by Data Studio).

#2 Marketing Templates (these are the report templates meant for marketers)

#3 Community (Data Studio report templates built by the community)

#4 Community Visualizations (Data Studio reports with Community Visualizations)

report category

If you want to submit your own report to the Data Studio Report Gallery then click on the ‘submit your report’ link and then follow the on-screen instructions:

submit your report

Introduction to the Report Editor

report editor

The report editor is used to edit a Google Data Studio report.

Through report editor you can:

You can access the report editor by creating a new report or editing an existing report.

To learn more about the report editor, check out this article: Understanding Report Editor in Google Data Studio

Components of a report in Google Data Studio

A report in Data Studio is made up of one or more pages. By default, a new report is made up of just one page.

Adding another page

If you want to add another page to your report, then follow the steps below:

Step-1: Open an existing report by clicking on its name (under the ‘Reports’ tab):

report

The report will open in the view mode.

Step-2: Click on the ‘Edit‘ button at the top right-hand side:

Once you clicked on the ‘Edit’ button, you will see the report in the ‘edit mode‘.

edit report 1

Step-3: Click on the ‘Add a page’ button on the top left-hand side in the report editor:

add apage

Once you click on the ‘Add a page’ button, you will be redirected to the new page of your report:

new page

If you want to navigate back to page 1 of the report then click on the ‘Left Direction Arrow‘ available in the menu:

left arrow

If you again want to navigate to page 2, click on ‘Right Direction Arrow’:

right arrow

Each page is made up of canvas. 

Here is what the blank canvas looks like:

canvas

A canvas is made up of grid lines.

When we create a report in Data Studio, we add components (like ‘tables’, ‘scorecard’, ‘bar charts’ etc) to this canvas. 

Following is an example of a canvas that contains one component of type ‘table’:

1 component canvas

Following is an example of a canvas that contains two components: one table component and one scorecard component:

2 component canvas

Each component is made up of one or more fields.

You can change the layout and theme of this canvas through the ‘Layout and Theme panel‘ on the right-hand side:

layout

You can also change the style of each component on the canvas through the ‘Style‘ on the right-hand side:

component style
  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. How to work with the Boolean field in Google Data Studio
  9. Google Data Studio Page Navigation Tutorial
  10. Understanding Report Editor in Google Data Studio
  11. Best practices for creating a report in Google Data Studio
  12. How to share reports in Google Data Studio
  13. Seven methods to create a new report in Google Data Studio
  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

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 !!