Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Microsoft Power BI Cookbook

You're reading from   Microsoft Power BI Cookbook Convert raw data into business insights with updated techniques, use cases, and best practices

Arrow left icon
Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835464274
Length 598 pages
Edition 3rd Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
Brett Powell Brett Powell
Author Profile Icon Brett Powell
Brett Powell
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. Installing and Licensing Power BI Tools FREE CHAPTER 2. Accessing, Retrieving, and Transforming Data 3. Building a Power BI Semantic Model 4. Authoring Power BI Reports 5. Working in the Power BI Service 6. Getting Serious About Date Intelligence 7. Parameterizing Power BI Solutions 8. Implementing Dynamic User-Based Visibility in Power BI 9. Applying Advanced Analytics and Custom Visuals 10. Enhancing and Optimizing Existing Power BI Solutions 11. Deploying and Distributing Power BI Content 12. Integrating Power BI with Other Applications 13. Working with Premium and Microsoft Fabric 14. Other Books You May Enjoy
15. Index

Incorporating Advanced Analytics

The standard line, scatter, column, and bar chart visualization types available in Power BI Desktop, which generally represent the majority of Power BI report content, given their advantages in visual comprehension, can be further enhanced via a dedicated analytics pane. Similar to visual-level filters, the Power BI analytics pane creates measures scoped to the specific visual, such as trend lines, constant lines, percentile lines, min, max, and average. This additional logic provides greater context to the visual and avoids the need to author complex or visual-specific DAX measures.

This recipe includes two examples of leveraging the analytics pane in Power BI Desktop to raise the analytical value of chart visuals: one for a clustered column chart and another for a line chart. The predictive forecasting feature built into the analytics pane is described in the Forecasting and Anomaly Detection recipe later in this chapter.

Getting ready

...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime