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

Slicers


Slicer visuals represent a central element of self-service functionality in Power BI in addition to the Visual interactions behavior described in the previous section. The standard slicer visual displays the unique values of a single column enabling report users to apply their own filter selections. Additionally, Power BI Desktop provides several formatting and filter condition options available based on the data type of the column. The following image contains three sample slicer visuals with each slicer representing a different data type (text, number, date):

Slicer visuals

In this example, the three slicers filter for two sales territory countries (Australia and France), a range of product list prices ($500 to $2,500), and the last 30 days inclusive of the current date (11/15/2017 to 12/14/2017). Filter condition rules are available for numeric and date columns in slicers, such as greater than or equal to $500 and after 5/1/2017, respectively.

Note

The numeric range slicer, such as...