Book Image

Mastering Microsoft Power BI

By : Brett Powell
5 (1)
Book Image

Mastering Microsoft Power BI

5 (1)
By: Brett Powell

Overview of this book

This book is intended for business intelligence professionals responsible for the design and development of Power BI content as well as managers, architects and administrators who oversee Power BI projects and deployments. The chapters flow from the planning of a Power BI project through the development and distribution of content to the administration of Power BI for an organization. BI developers will learn how to create sustainable and impactful Power BI datasets, reports, and dashboards. This includes connecting to data sources, shaping and enhancing source data, and developing an analytical data model. Additionally, top report and dashboard design practices are described using features such as Bookmarks and the Power KPI visual. BI managers will learn how Power BI’s tools work together such as with the On-premises data gateway and how content can be staged and securely distributed via Apps. Additionally, both the Power BI Report Server and Power BI Premium are reviewed. By the end of this book, you will be confident in creating effective charts, tables, reports or dashboards for any kind of data using the tools and techniques in Microsoft Power BI.
Table of Contents (15 chapters)

Visualization formatting

A final step in report development is configuring the formatting options for each visual. Several of these options, such as data labels, background colors, borders, and title are common to all visuals and are often essential to aid comprehension. Several other formatting options, such as fill point for scatter charts, are exclusive to particular visuals and report authors are well served to be familiar with these features.

In addition to giving reports a professional appearance, features such as tooltips can be used to provide visuals with additional or supporting context. Furthermore, formatting features can be used to implement conditional logic to dynamically drive the color of data points by their values.

Visual-level formatting

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