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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook - Third Edition

By : Greg Deckler, Brett Powell
4.7 (23)
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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

4.7 (23)
By: Greg Deckler, Brett Powell

Overview of this book

Since its first edition the Power BI Cookbook has been a best-selling resource for BI developers and data analysts to produce impactful, quality BI solutions. This new and updated edition retains the rigorous details and concepts readers of prior editions have enjoyed while also demonstrating powerful new capabilities and updated guidance aligned to the current state of the platform. In this book, with step-by-step instructions, you will learn to navigate the complexities of data integration and visualization in Power BI. From creating robust data models to implementing sophisticated reporting techniques, this Power BI book empowers you to make informed decisions based on actionable insights. It also introduces you to new capabilities such as Hybrid tables and scorecards, enhancing your ability to communicate and analyze business performance. It also expands and improvises on the core of the previous edition like parameterizing Power BI solutions, authoring reports, data intelligence, and integrating advanced analytics. This edition highlights the latest features and upcoming AI enhancements in Power BI. *Email sign-up and proof of purchase required
Table of Contents (17 chapters)
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Preface
14
Unlock Your Exclusive Benefits
15
Other Books You May Enjoy
16
Index

Using R and Python Visuals

The R and Python programming languages, including their powerful and extensible features in data processing, advanced analytics, and visualization, are deeply integrated with Power BI. R and Python scripts can be used as a data source for a Power BI semantic model, as a data transformation and shaping process within M queries, and as their own visualization type within Power BI reports and dashboards. Like standard Power BI visuals, R and Python script visuals directly leverage the relationships defined in the semantic model and can be dynamically filtered via other visuals, such as slicers.

In this recipe, two histogram visualizations are created in Power BI Desktop with R scripts: one with R’s standard distribution base graphics and another with the popular ggplot2 visualization package. Additionally, a Python visual example is included.

Getting ready

To prepare for this recipe, follow these steps:

  1. Download and install the...
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Microsoft Power BI Cookbook
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