Google Sheets advanced query pivot data-analysis aggregation

How to Aggregate and Pivot Data in Google Sheets?

Group and Pivot Data is a Google Sheets function that aggregates data by category and presents it in a pivoted format for easier analysis.. Formula Genius generates and validates this formula automatically from a plain-English prompt.

Transform your data analysis by using QUERY to group totals by category and pivot to display them in a more insightful format.

The Formula

Prompt

"Use the QUERY function with GROUP BY to aggregate totals by category, and PIVOT to rotate row values into columns"

Google Sheets
=QUERY(A1:C10, "SELECT A, SUM(B) PIVOT C GROUP BY A", 1)

This formula aggregates data by category and presents it in a pivoted format for easier analysis.

Step-by-Step Breakdown

  1. SELECT specifies the columns to include in the output.
  2. SUM aggregates the values in the specified column.
  3. PIVOT rotates the unique values from one column into multiple columns.
  4. GROUP BY groups the results by the specified category.

Edge Cases & Warnings

  • Empty cells in the data range can lead to unexpected results.
  • If there are no matching categories, the output will be blank.
  • Using non-unique values in the pivot column may cause data to be lost.
  • Data types must match; mixing text and numbers can cause errors.

Examples

Prompt

"Data: A1:C10 with categories in column A, values in B, and pivot values in C"

Google Sheets
A pivot table showing totals for each category across different pivot values.
Prompt

"Data: A1:C10 with 'Fruits' in A, quantities in B, and 'Type' in C"

Google Sheets
A summary table showing total quantities of each fruit type.

Frequently Asked Questions

What does the PIVOT clause do?

The PIVOT clause rotates unique values from a specified column into separate columns.

Can I use multiple columns in the GROUP BY clause?

Yes, you can group by multiple columns by separating them with commas.

What happens if there are no matching rows?

If there are no matching rows, the output will be empty.

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