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The Definitive Guide to Power Query (M)

You're reading from  The Definitive Guide to Power Query (M)

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781835089729
Pages 758 pages
Edition 1st Edition
Languages
Authors (3):
Gregory Deckler Gregory Deckler
Profile icon Gregory Deckler
Rick de Groot Rick de Groot
Profile icon Rick de Groot
Melissa de Korte Melissa de Korte
Profile icon Melissa de Korte
View More author details

Table of Contents (19) Chapters

Preface Introducing M Working with Power Query/M Accessing and Combining Data Understanding Values and Expressions Understanding Data Types Structured Values Conceptualizing M Working with Nested Structures Parameters and Custom Functions Dealing with Dates, Times, and Durations Comparers, Replacers, Combiners, and Splitters Handling Errors and Debugging Iteration and Recursion Troublesome Data Patterns Optimizing Performance Enabling Extensions Other Books You May Enjoy
Index

Tables

Now that we’ve taken a deep dive into lists and records, it’s time to extend our understanding to table values. As with lists and records, tables hold an important place in the M language due to their role in structuring and organizing data. So, what is a table?

Introduction to tables

At its most basic, a table is a structured value that arranges data in rows and columns. You could also say that a table is a list of records where each record represents a row of the table. Because of its two-dimensional form, it is easy to preview your data in a table and you will find that most queries that are loaded into Power BI or Excel have a table value as output. So how do you create a table?

Creating a table in Power Query’s M language is often done by calling an accessing data function as described in Chapter 3. For instance, when you import an Excel or CSV file, Power Query automatically creates a table for you.

However, to illustrate the characteristics...

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