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The Definitive Guide to Power Query (M)

You're reading from   The Definitive Guide to Power Query (M) Mastering complex data transformation with Power Query

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781835089729
Length 758 pages
Edition 1st Edition
Languages
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Authors (3):
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Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
Melissa de Korte Melissa de Korte
Author Profile Icon Melissa de Korte
Melissa de Korte
Rick de Groot Rick de Groot
Author Profile Icon Rick de Groot
Rick de Groot
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Toc

Table of Contents (19) Chapters Close

Preface 1. Introducing M FREE CHAPTER 2. Working with Power Query/M 3. Accessing and Combining Data 4. Understanding Values and Expressions 5. Understanding Data Types 6. Structured Values 7. Conceptualizing M 8. Working with Nested Structures 9. Parameters and Custom Functions 10. Dealing with Dates, Times, and Durations 11. Comparers, Replacers, Combiners, and Splitters 12. Handling Errors and Debugging 13. Iteration and Recursion 14. Troublesome Data Patterns 15. Optimizing Performance 16. Enabling Extensions 17. Other Books You May Enjoy
18. Index

Working with tables

Tables are structured collections of rows and columns, where each cell can hold data of any type. They are the predominant structure in Power Query, as evidenced by the way the UI has been designed to operate on them. Now it’s time to explore the basics of nested tables and see examples of how to create, access, and manipulate them. Our primary focus is on understanding the nuances of working with a nested table structure.

Here’s our sample dataset. Call this query SurveysData; we will refer to it using that name from now on:

let
    Source = Table.FromRows( List.Zip( { List.Transform( {"1".."5"}, each "Wave "& _ ),
        Table.Group( Table.FromRows(
        {
            {456, 30, "Female", "Intermediate", "High", "Good", "Yes", "Well organized content", #date(2023,3,1), #date(2023,3,10), 5, 8},
            {457, 52, "Male", "Expert...
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