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Microsoft Power BI Quick Start Guide - Third Edition

You're reading from  Microsoft Power BI Quick Start Guide - Third Edition

Product type Book
Published in Nov 2022
Publisher Packt
ISBN-13 9781804613498
Pages 330 pages
Edition 3rd Edition
Languages
Authors (4):
Devin Knight Devin Knight
Profile icon Devin Knight
Erin Ostrowsky Erin Ostrowsky
Profile icon Erin Ostrowsky
Mitchell Pearson Mitchell Pearson
Profile icon Mitchell Pearson
Bradley Schacht Bradley Schacht
Profile icon Bradley Schacht
View More author details

Table of Contents (13) Chapters

Preface 1. Gaining Data Literacy with Power BI 2. Connecting to Data 3. Data Transformation Strategies 4. Building the Data Model 5. Leveraging DAX 6. Visualizing Data 7. Digital Storytelling with Power BI 8. Using a Cloud Deployment with the Power BI Service 9. Data Cleansing in the Cloud with Dataflows 10. On-Premises Solutions with Power BI Report Server 11. Other Books You May Enjoy
12. 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 Values 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 Python visual...

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