Mastering Data Transformation |Pivot and Unpivot | FLATTEN, SPLIT, & QUERY Functions in GoogleSheets
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- เผยแพร่เมื่อ 7 ก.พ. 2025
- How to Pivot and Unpivot Data in Google Sheets | Data Transformation Tutorial
Our comprehensive tutorial on pivoting and unpivoting data in Google Sheets! Whether you're a beginner or an experienced spreadsheet user, understanding these data transformation techniques is essential for data analysis and reporting.
In this video, we'll walk you through the step-by-step process of both pivoting and unpivoting your data using Google Sheets, including using the FLATTEN, SPLIT, and QUERY functions.
Introduction
What is Data Pivoting?
How to Pivot Data in Google Sheets using QUERY
Benefits of Pivoting Data
What is Data Unpivoting?
How to Unpivot Data in Google Sheets using FLATTEN and SPLIT
Use Cases for Unpivoting Data
Conclusion and Recap
📊 Pivoting Data with QUERY:
Learn how to restructure your data by summarizing and aggregating it using the powerful QUERY function. We'll cover everything from selecting your data range to creating insightful reports with QUERY-based pivot tables.
🔄 Unpivoting Data with FLATTEN and SPLIT:
Discover how to reverse the pivot process, transforming aggregated data back into its original form using the FLATTEN and SPLIT functions. This is invaluable when dealing with data from various sources or preparing it for further analysis.
Throughout the tutorial, we'll share practical examples and tips to help you make the most out of your data transformation efforts. Whether you're working with sales figures, survey data, or any other dataset, these techniques will streamline your data manipulation tasks in Google Sheets.
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If you have any questions or need clarification on any of the steps covered in this video, please feel free to leave a comment below. We're here to help you succeed with your data analysis endeavors.
Thanks for watching, and let's get started on mastering data pivoting and unpivoting in Google Sheets with the help of FLATTEN, SPLIT, and QUERY functions!
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