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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook - Second Edition

By : Greg Deckler, Powell
4.8 (12)
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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

4.8 (12)
By: Greg Deckler, Powell

Overview of this book

The complete everyday reference guide to Power BI, written by an internationally recognized Power BI expert duo, is back with a new and updated edition. Packed with revised practical recipes, Microsoft Power BI Cookbook, Second Edition, helps you navigate Power BI tools and advanced features. It also demonstrates the use of end-to-end solutions that integrate those features to get the most out of Power BI. With the help of the recipes in this book, you’ll gain advanced design and development insight, practical tips, and guidance on enhancing existing Power BI projects. The updated recipes will equip you with everything you need to know to implement evergreen frameworks that will stay relevant as Power BI updates. You’ll familiarize yourself with Power BI development tools and services by going deep into the data connectivity, transformation, modeling, visualization, and analytical capabilities of Power BI. By the end of this book, you’ll make the most of Power BI’s functional programming languages of DAX and M and deliver powerful solutions to common business intelligence challenges.
Table of Contents (16 chapters)
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14
Other Book You May Enjoy
15
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 dataset, 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 data 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 R engine on...
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Microsoft Power BI Cookbook
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