How can I create a pivot table using the Google Sheets Query function?

The Google Sheets Query function is a powerful tool that allows users to create pivot tables, which are useful for organizing and analyzing large amounts of data. To create a pivot table using this function, users can input their data into a Google Sheets spreadsheet, then use the Query function to select and manipulate the data in a specific way. This will automatically generate a pivot table that can be customized and modified to meet the user’s specific needs. By utilizing the Query function, users can efficiently summarize and visualize their data in a clear and organized manner.

Google Sheets Query: Create a Pivot Table


You can use the following syntax to create a pivot table using Google Sheets Query:

=query(A1:C13, "select A, sum(C) group by A pivot B")

In this example, we choose column A to represent the rows of the pivot table, column B to represent the columns of the pivot table, and the values in column C to be displayed inside the pivot table.

The following examples show how to use this syntax in practice.

Example 1: Create a Pivot Table Using SUM()

We can use the following formula to create a pivot table that displays the total sales by product and by region for a certain company:

We would interpret the values in the pivot table as follows:

  • The total sales of product A in the East region was 388.
  • The total sales of product B in the East region was 0.
  • The total sales of product C in the East region was 476.
  • The total sales of product D in the East region was 0.

And so on.

Example 2: Create a Pivot Table Using AVG()

We can use the following formula to create a pivot table that displays the average sales by product and by region for a certain company:

We would interpret the values in the pivot table as follows:

  • The average sales of product A in the East region was 388.
  • The average sales of product B in the East region was 0.
  • The average sales of product C in the East region was 238.
  • The average sales of product D in the East region was 0.

And so on.

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