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Exploring Microsoft Excel’s Hidden Treasures

You're reading from  Exploring Microsoft Excel’s Hidden Treasures

Product type Book
Published in Sep 2022
Publisher Packt
ISBN-13 9781803243948
Pages 444 pages
Edition 1st Edition
Languages
Author (1):
David Ringstrom David Ringstrom
Profile icon David Ringstrom

Table of Contents (18) Chapters

Preface 1. Part 1: Improving Accessibility
2. Chapter 1: Implementing Accessibility 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

Appending and merging data from multiple sources

At this point, we’ve seen how to extract data from a single data source, such as a PDF file or Excel workbook. In this section, I’m offering you a two-for-one, where you’ll not only learn how to extract data from text files but also how to relate data from two or more sources together. The example files for this chapter include six comma-separated value (CSV) files. Figure 12.26 shows the data contained within each file, which is also in the Chapter 12 - Appending and Merging Data.xlsx workbook. These text files are structured similar to how data is stored in database Tables.

You may not have immediate access to a database, but carrying out the steps for appending and merging data from these text files, then you’ll know exactly extract data from a database into Excel:

Figure 12.26 – Normalized data

Normalizing data means having as little redundancy as possible. In this example...

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