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How to Create a Pivot Table in Google Data Studio Integrate all of your marketing channels into Google Data Studio BUILD A REPORT IN 2 MINUTES December 10, 2022 We’ll cover: Pivot tables allow you to view your data in multiple dimensions simultaneously, making them ideal for summarizing trends and answering business questions.

For example, if you want to show a website’s traffic from various sources, a standard table will only show you the numbers for each page. While a pivot table will allow you to display all of the pages and their traffic numbers from all sources.

 

It will also generate a multi-column table to precisely display all of these insights. All of these comparisons will be covered later in this article. So, these are some of the reasons why we should learn Pivot tables in Google Data Studio. How to Create a Pivot Table in Google Data Studio We’ll be using a prepared sample sheet with sample audience data from Google Analytics for this tutorial.

Click Add a chart in Google Data Studio

 

And scroll down to find a Pivot table. How to Create a Pivot Table in Google Data Studio A pivot table Job Function Email Database will pop-up, pre-populated with relevant data from your data source. Unlike a traditional data table, metrics do not appear as column headers and dimensions as row headers. Instead, the metric serves as a table header, with columns and rows denoting dimensions. The Row Dimension, in this case, is the Page Title, while the Column Dimension is the user’s Country.

 

This allows you to examine any metric in depth and observe relationships between dimensions such as age, location, source, ad campaign, product page, and more. This is where pivot tables come in handy. When we use the correct features, they can automatically organize similar datasets and filter the results.

 

Let’s learn how to use them! Pivot Table Structure in Google Data Studio Metrics, row dimensions, and column dimensions are the three main components of pivot tables.

 

Let’s take a closer look at these three componentsTo see which fields we should include to get the most out of our pivot tables. When you change the  fields in your metrics or dimensions, the table may take a few moments to load.Please be patient! There’s a lot of information to sort through. Metrics Metrics are the numbers that describe everything we track, such as the number of users, pageviews, conversions, and so on.

 

A pivot table aggregates and sorts your metrics from all of your tabular data points (i.e., each row). This pivot table uses New Users as a metric to display the total New Users from all website visits at each intersection of Page Title and Country.

How to Create a Pivot Table in Google Data Studio

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You can also use multiple metrics in a single pivot table, but be aware that depending on your data, this Cn Leads can become a bit cluttered. Here’s an example of a pivot table with the same dimensions (only one row dimension and one column dimension) but two metrics, Age and New Users.

 

How to Create a Pivot Table in Google Data Studio As you can see, pivot tables are excellent for performing in-depth analyses of a single metric. Rows and Columns Dimensions Technically, you can use row and column dimensions interchangeably .