Book Image

Microsoft Power BI Quick Start Guide - Second Edition

By : Devin Knight, Mitchell Pearson, Bradley Schacht, Erin Ostrowsky
Book Image

Microsoft Power BI Quick Start Guide - Second Edition

By: Devin Knight, Mitchell Pearson, Bradley Schacht, Erin Ostrowsky

Overview of this book

This revised edition has been fully updated to reflect the latest enhancements to Power BI. It includes a new chapter dedicated to dataflow, and covers all the essential concepts such as installation, designing effective data models, as well as building basic dashboards and visualizations to help you and your organization make better business decisions. You’ll learn how to obtain data from a variety of sources and clean it using Power BI Query Editor. You’ll then find out how you can design your data model to navigate and explore relationships within it and build DAX formulas to make your data easier to work with. Visualizing your data is a key element in this book, and you’ll get to grips rapidly with data visualization styles and enhanced digital storytelling techniques. In addition, you will acquire the skills to build your own dataflows, understand the Common Data Model, and automate data flow refreshes to eradicate data cleansing inefficiency. This guide will help you understand how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented. By the end of this Power BI book, you’ll have a better understanding of how to get the most out of Power BI to perform effective business intelligence.
Table of Contents (12 chapters)
10
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11
Index

Visuals from analytics

Up to this point all the visuals have been focused on visualizing the data in the data model. There are a couple of visuals that go one step further and provide information about the data that are not easily gained by a human looking at a report. These visuals leverage machine learning to provide actionable insight and allow the use of additional programming languages in Power BI.

Two of the most common programming languages in use today are R and Python. Power BI offers a built-in visual for each of these languages with an easy interface for bridging the gap between the Power BI data model and the programming language surface. Each of these requires a local installation for Power BI to use for processing. Simply add the fields you would like to use in your code to the Fields bucket for the visual and reference them by name in your code. A few lines of sample code are generated to show the proper way to reference the fields as well. Adding the R or...