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The Definitive Guide to Power Query (M)

The Definitive Guide to Power Query (M)

By : Greg Deckler, Rick de Groot, Melissa de Korte
4.8 (39)
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The Definitive Guide to Power Query (M)

The Definitive Guide to Power Query (M)

4.8 (39)
By: Greg Deckler, Rick de Groot, Melissa de Korte

Overview of this book

Data transformation is a critical step in building data models and business intelligence reports. Power Query is an invaluable tool for anyone who wants to master data transformation, and this book will equip you with the knowledge and skills to make the most of it. The Definitive Guide to Power Query (M) will help you build a solid foundation in the Power Query M language. As you progress through the chapters, you'll learn how to use that knowledge to implement advanced concepts and data transformations. This will set the stage for an uncompromisingly thorough exploration of the Power Query M Language. You'll also get to grips with optimizing performance, handling errors, and implementing efficient data processing techniques. As this is a hands-on guide, the practical examples in the chapters will help you gain the skills to apply Power Query to real-world problems and improve your data analysis capabilities. By the end of this book, you will be able to leverage all of Power Query's remarkable capabilities for data transformation.
Table of Contents (19 chapters)
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17
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18
Index

Working with mixed structures

This section focuses on structured values that contain structures of a different type. Although a wide range of scenarios is possible, we cannot possibly illustrate them all; however, this section should provide enough insight into how to tackle the most common challenges you are likely to encounter.

Lists of tables, lists, or records

As demonstrated earlier, handling a list of items that share a consistent structure and are grouped together can easily be managed and converted to a table. This approach is incredibly powerful and applies equally to working with a single column in a table or converting lists in every table row in a table to reshape the data.

Let’s explore the first scenario, dealing with columns that contain structured values. Imagine a table organized in the following manner:

  • Table values
  • List of lists, where each inner list represents column values
  • List of lists, where each inner list represents...

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