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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
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Greg Deckler
Melissa de Korte Melissa de Korte
Author Profile Icon Melissa de Korte
Melissa de Korte
Rick de Groot Rick de Groot
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Rick de Groot
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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

Dates

Dates are the backbone of temporal analysis, forming the foundation upon which we generate meaningful insights about data. There are almost 60 M functions specific to working with dates. But dates have a secret – they are really just numbers that represent the number of days prior to or after a particular reference date.

We can demonstrate this with a simple example by creating a blank query and using the advanced editor with the following code:

  1. Create the following query in the Power Query editor:
    let
        Source = List.Generate(() => -10, each _ <= 10, each _ + 1)
    in
        Source
    
  2. In the List Tools | Transform tab of the ribbon, click the To Table button:

Figure 10.1: Convert list to table

  1. On the To Table dialog, simply click the OK button.
  2. Right-click the header for Column1 and choose Duplicate Column.
  3. Right-click the header for Column1, choose Change Type, and then Date:

Figure...

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