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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

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

Applying Advanced Analytics and Custom Visuals

Power BI Desktop's standard report authoring tools provide a robust foundation for the development of rich BI and analytical content. Custom visualizations developed by Microsoft and third parties further supplement these capabilities with their own unique features and can be integrated with standard visuals in Power BI reports and dashboards. Additionally, geospatial analysis features such as the ArcGIS maps visual for Power BI, custom dimension groupings, and animation and annotation options further aid in the extraction of meaning from data and also support sharing these insights with others.

Power BI Desktop also includes advanced analytics features reflecting modern data science tools and algorithms, including clustering, forecasting, and support for custom R and Python scripts and visuals. For example, an analytics pane is available to enrich visuals with additional metrics, such as a trend line, and the Quick Insights...

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