Book Image

Microsoft Power BI Complete Reference

By : Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana, Brett Powell
Book Image

Microsoft Power BI Complete Reference

By: Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana, Brett Powell

Overview of this book

Microsoft Power BI Complete Reference Guide gets you started with business intelligence by showing you how to install the Power BI toolset, design effective data models, and build basic dashboards and visualizations that make your data come to life. In this Learning Path, you will learn to create powerful interactive reports by visualizing your data and learn visualization styles, tips and tricks to bring your data to life. You will be able to administer your organization's Power BI environment to create and share dashboards. You will also be able to streamline deployment by implementing security and regular data refreshes. Next, you will delve deeper into the nuances of Power BI and handling projects. You will get acquainted with planning a Power BI project, development, and distribution of content, and deployment. You will learn to connect and extract data from various sources to create robust datasets, reports, and dashboards. Additionally, you will learn how to format reports and apply custom visuals, animation and analytics to further refine your data. By the end of this Learning Path, you will learn to implement the various Power BI tools such as on-premises gateway together along with staging and securely distributing content via apps. This Learning Path includes content from the following Packt products: • Microsoft Power BI Quick Start Guide by Devin Knight et al. • Mastering Microsoft Power BI by Brett Powell
Table of Contents (25 chapters)
Title Page
About Packt
Contributors
Preface
Index

Analytics pane


In addition to the Field and Formatting panes used to create report visuals, an Analytics pane is also available for cartesian visuals such as Line and clustered column charts. This pane allows report authors to add constant and dynamic reference lines such as average, max, and min to visuals to provide greater context and analytical value. Additionally, trend and forecast lines can be added to display the results of advanced analytical techniques such as exponential smoothing to support predictive analytics.

A simple but important use case of the Analytics pane, exemplified in the Trend lines section below, is to add a constant line that represents a goal or threshold to compare a measure against. Dynamic reference lines representing an aggregation (for example, a median) behave just like DAX measures and thus, in some scenarios, avoid the need to create new DAX measures into the source dataset.

Note

The reference lines available in the Analytics pane depend on the type of visual...