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Exploring Microsoft Excel's Hidden Treasures

You're reading from   Exploring Microsoft Excel's Hidden Treasures Turbocharge your Excel proficiency with expert tips, automation techniques, and overlooked features

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803243948
Length 444 pages
Edition 1st Edition
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Author (1):
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David Ringstrom David Ringstrom
Author Profile Icon David Ringstrom
David Ringstrom
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Improving Accessibility
2. Chapter 1: Implementing Accessibility FREE CHAPTER 3. Chapter 2: Disaster Recovery and File-Related Prompts 4. Chapter 3: Quick Access Toolbar Treasures 5. Chapter 4: Conditional Formatting 6. Part 2:Spreadsheet Interactivity and Automation
7. Chapter 5: Data Validation and Form Controls 8. Chapter 6: What-If Analysis 9. Chapter 7: Automating Tasks with the Table Feature 10. Chapter 8: Custom Views 11. Chapter 9: Excel Quirks and Nuances 12. Part 3: Data Analysis
13. Chapter 10: Lookup and Dynamic Array Functions 14. Chapter 11: Names, LET, and LAMBDA 15. Chapter 12: Power Query 16. Index 17. Other Books You May Enjoy

Unpivoting data

Unpivoting data is sometimes referred to as flattening the data, which means that all similar values appear in columns instead of rows. For instance, the Profit & Loss By Class report that I exported from QuickBooks Desktop, shown in Figure 12.24, spans 123 columns, running from column A to column DS. It’s hard to do much with a report like that since the data is so broadly dispersed. Let’s use Power Query in Excel for Windows or macOS to transpose 123 columns of data into three. Once again, I’ll move faster by not renaming anything in the Applied Steps list:

Figure 12.24 – Data to be unpivoted

  1. Press Ctrl + N ( + N) to create a blank workbook (or choose File | New and choose Blank Workbook).
  2. Click Data | Get Data | From File | From Excel Workbook, select Chapter 12 – Unpivoting Data.xlsx, and then click Import.
  3. Select Sheet1 from the list and then click Transform Data.
  4. Click Column1 and...
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