Guide to Data Types in Google Data Studio

Last Updated: August 20, 2022

The data type of a data source schema field determines the kind of data to expect (in the connected data source) when processing the field.

data types

For example,

When the data type of a field is ‘Number’, it tells Data Studio to expect a number when processing the field:

dimension number

When the data type of a field is ‘Currency (US – Dollars) ’, it tells Data Studio to expect currency data in US dollars when processing the field:

currency 1

Similarly,

When the data type of a field is ‘Text’, it tells Data Studio to expect text data when processing the field:

The data type also determines which operations are allowed and not allowed on a data source schema field.

For example, you can’t apply an arithmetic function to a ‘Text’ field or use a ‘Number’ field as the date range dimension in a report.

If you want to change the data type of a field then just click on the drop-down menu next to a data type.

Note: Changing the field type can have a considerable impact on how you see your data in reports.

Data types supported in Google Data Studio

Google Data Studio supports the following data types:

  1. Numeric
  2. Text
  3. Date and Time
  4. Boolean
  5. Geo
  6. Currency
  7. URL
  8. Image
  9. Image link

#1 Numeric data types

numeric

There are three numeric data types in Google Data Studio:

#1 Number – select this data type if you want Data Studio to expect a number (includes floating-point number) when processing a field in the underlying data source.

#2 Percent – select this data type if you want Data Studio to expect percentage data when processing a field in the underlying data source.

#3 Duration – select this data type if you want Data Studio to expect time duration in seconds when processing a field in the underlying data source.

For example, consider the following Google Sheets data source:

number

Here,

The field ‘Number of orders’ is of type ‘number’.

The field ‘Percentage of Sales’ is of type ‘percent’.

The field ‘Phone Call duration’ is of type ‘duration’.

When we connect this data source to our data source schema then while deciding the data source schema (structure) we should:

  1. set the data type of the field ‘Number of orders’ to ‘Numbers’.
  2. set the data type of the field ‘Percentage of Sales’ to ‘Percent’.
  3. set the data type of the field ‘Phone Call duration’ to ‘Duration’.
number data type

To learn more about numeric data types in Google Data Studio read the following two articles:

#1 Google Data Studio Number Formats / Data Types

#2 Doing Basic Maths on Numeric Fields via Calculated Fields

#2 Text data type

text data type

Select the ‘Text’ data type if you want Data Studio to expect text when processing a field in the underlying data source. A text data type can include any combination of letters, numbers, special symbols (like [, }, @….) and other characters.

Consider the following Google Sheets data source:

text sample

Here all the values of the field ‘Customers Name’ are of type ‘Text’. So when defining the data source schema, we would set the data type of the field ‘Customers Name’ to ‘Text’:

text field applied

To learn more about the text data types, read this article: How to Work with ‘Text’ Data Type in Google Data Studio

#3 Date and time data types

date and time

As you can see from the screenshot, Google Data Studio supports several different types of date and time.

The data types for ‘date’ fields can be divided into the following two categories:

#1 Absolute dates – It refers to a specific date that you can point to on a calendar.

#2 Relative dates – It refers to a date that you can not point to on a calendar.

The data types for ‘time’ fields can be divided into the following two categories:

#1 Absolute time – It refers to a specific time that is accompanied by an absolute date.

#2 Relative time – It refers to a specific time that is not accompanied by an absolute date.

To learn more about the date and time data types in Data Studio read this article: Tutorial on Date and Time Data Types in Google Data Studio

#4 Boolean data type

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 data type while setting up your data source schema:

forcasted revenue

To learn more about working with the boolean data type, read this article: How to work with Boolean data type in Google Data Studio

#5 Geo data types

Geo

Use ‘Geo’ data type if you want Data Studio to expect a geographic region (like a city, region, country, continent) when processing a field in the specified data set.

Following are the various Geo data types available in Google Data Studio:

geo data type

To learn more about the geo data types, read this article: Geo Data – Country, Region, Latitude, Longitude in Google Data Studio

#6 URL data type

Product page

Use the ‘URL’ data type if you want Data Studio to expect a URL when processing a field in the underlying data source:

underlying data source

#7 Currency data type

currency shipping

Use the ‘Currency’ data type if you want Data Studio to expect a currency when processing a field in the underlying data source.

#8 Image data type

image data type

Use the ‘Image’ data type if you want Data Studio to expect the URLs of images when processing a field in the underlying data source:

underlying data source 2

Note(1): The ‘Image’ data type is used for only those fields which return data of type image. Such fields are called image fields.

Note(2): The image fields are used to display images in the data table of a report.

To learn more about image data type in Google Data Studio, read this article: Image data type in Google Data Studio

image link data type

The ‘Image Link’ data type is used for those fields which contain clickable images.

If you want to display clickable images in the data table of a report then you would need to use a field of the ‘Image Link’ data type.

  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. Google Data Studio Report Tutorial
  15. How to invite people to view or edit a report in Google Data Studio
  16. How to share the link of your report in Google Data Studio
  17. Schedule email delivery of a report in Google Data Studio
  18. How to download Data Studio report as PDF
  19. How to embed a Data Studio report on a website
  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

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