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

Choosing the visual


With the report planning phase completed, an essential task of the report author is to choose the visual(s) best suited to gain insight into the particular questions within the scope of the report. The choice of the visualization type, such as a column chart or a matrix visual, should closely align with the most important use case, the message to deliver, and the data relationship to represent.

Visualization types have distinct advantages in terms of visual perception and types of data relationships such as part-to-whole and comparisons. Additionally, although several formatting options are common to all visuals, certain options such as the line style (solid, dashed, dotted) of a line chart are exclusive to specific visuals. 

A standard visual selection process is as follows:

  1. Plan and document the business question(s) and related measures and dimension columns.
  2. Determine whether a table, a chart, or both will be needed to best visualize this data.
  3. If a chart is needed, choose...