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

Visualizing categorical data

Where the Table and Matrix visuals allow for a detailed look at multiple measures across a category, the following visuals are best for displaying data values across categories. In the upcoming visuals, we will be displaying Bars, Columns, and other visual elements, which will be proportional to the data value. These visuals have a far less detailed few of the data, but it is very easy to distinguish the differences of the values within the chosen category. All of the visuals allow for interactive filtering and the use of drilldowns, which we will not focus on since it was covered in the previous examples. We will focus on how to understand and configure the following visuals:

  • Bar and Column Charts
  • Pie and Donut Charts
  • The Treemap Visual
  • Scatter Charts

We will continue using the same Power BI report from the previous examples, but we will want to create a new report page and call it Categorical Data.

Bar and Column charts

Both the Bar and Column charts are very similar...