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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
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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

Records

Next on our journey through structured values in Power Query’s M language, we encounter records.

Introduction to records

A record is a named list of values. While lists are a simple, ordered collection of values, records associate a field name or key to each value. This leads to a more complex, yet organized data structure.

You can think of a record as a single row in a table, where each field in the row has a unique column name and a value. Just like lists, records can contain any type of value, be it primitive (such as text, numbers, or dates), or structured (like lists, records, or tables).

You can create a record with the record initialization operator. This involves specifying pairs of keys and values within square brackets [], also known as record initialization. What’s important here is to remember that:

  • Every record is surrounded by square brackets.
  • A key (the field name) is followed by an equal sign (=). Records allow...
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