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Power Query Cookbook

Power Query Cookbook

By : Janicijevic
4.5 (14)
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Power Query Cookbook

Power Query Cookbook

4.5 (14)
By: Janicijevic

Overview of this book

Power Query is a data preparation tool that enables data engineers and business users to connect, reshape, enrich, and transform their data to facilitate relevant business insights and analysis. With Power Query's wide range of features, you can perform no-code transformations and complex M code functions at the same time to get the most out of your data. This Power Query book will help you to connect to data sources, achieve intuitive transformations, and get to grips with preparation practices. Starting with a general overview of Power Query and what it can do, the book advances to cover more complex topics such as M code and performance optimization. You'll learn how to extend these capabilities by gradually stepping away from the Power Query GUI and into the M programming language. Additionally, the book also shows you how to use Power Query Online within Power BI Dataflows. By the end of the book, you'll be able to leverage your source data, understand your data better, and enrich it with a full stack of no-code and custom features that you'll learn to design by yourself for your business requirements.
Table of Contents (12 chapters)
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Chapter 3: Data Exploration in Power Query

In a business context where data is acquiring more value, users—both business analysts and technical users—need a tool to easily explore their data. In order to get relevant insights from data that is continuously growing in amount and in terms of complexity, you need to have at your disposal a range of features and capabilities that will allow you to investigate aspects such as data size, quality, distribution, types, and other factors that will be covered in this chapter.

This chapter is focused on the data exploration features of Power Query. You will learn how to choose a subset of data and explore data profiling tools and query dependencies in order to see at a glance the data you will be dealing with. You will see how to smartly use Queries and Steps panes, with shortcuts and examples. Moreover, Schema view and Diagram view will be explained.

The recipes that will be explored in this chapter are listed here:

...

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