Book Image

Mastering Microsoft Power BI – Second Edition - Second Edition

By : Gregory Deckler, Brett Powell
4.5 (2)
Book Image

Mastering Microsoft Power BI – Second Edition - Second Edition

4.5 (2)
By: Gregory Deckler, Brett Powell

Overview of this book

Mastering Microsoft Power BI, Second Edition, provides an advanced understanding of Power BI to get the most out of your data and maximize business intelligence. This updated edition walks through each essential phase and component of Power BI, and explores the latest, most impactful Power BI features. Using best practices and working code examples, you will connect to data sources, shape and enhance source data, and develop analytical data models. You will also learn how to apply custom visuals, implement new DAX commands and paginated SSRS-style reports, manage application workspaces and metadata, and understand how content can be staged and securely distributed via Power BI apps. Furthermore, you will explore top report and interactive dashboard design practices using features such as bookmarks and the Power KPI visual, alongside the latest capabilities of Power BI mobile applications and self-service BI techniques. Additionally, important management and administration topics are covered, including application lifecycle management via Power BI pipelines, the on-premises data gateway, and Power BI Premium capacity. By the end of this Power BI book, you will be confident in creating sustainable and impactful charts, tables, reports, and dashboards with any kind of data using Microsoft Power BI.
Table of Contents (18 chapters)
16
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17
Index

R and Python visuals

The R and Python programming languages both have strong data analysis and visualization capabilities. This makes these languages a natural fit for data analysis and visualization tools such as Power BI Desktop. In addition to other integration options, such as the ability to use R and Python in Power Query, Power BI Desktop also provides standard visuals for both R and Python.

In order to use the R and Python visuals, you must first install the R and Python programming languages and ensure that the R scripting and Python scripting options are configured in the GLOBAL options (File | Options and settings | Options) as shown in Figure 8.9:

Figure 8.9: R scripting options

As shown in Figure 8.9, Power BI attempts to detect any installed R and Python program language installations and integrated development environments (IDEs). Once you have the R and Python languages installed and configured, you are ready to add an R or Python visual to a report...