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Artificial Intelligence with Power BI

You're reading from   Artificial Intelligence with Power BI Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801814638
Length 348 pages
Edition 1st Edition
Languages
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Author (1):
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Mary-Jo Diepeveen Mary-Jo Diepeveen
Author Profile Icon Mary-Jo Diepeveen
Mary-Jo Diepeveen
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Table of Contents (18) Chapters Close

Preface 1. Part 1: AI Fundamentals
2. Chapter 1: Introducing AI in Power BI FREE CHAPTER 3. Chapter 2: Exploring Data in Power BI 4. Chapter 3: Data Preparation 5. Part 2: Out-of-the-Box AI Features
6. Chapter 4: Forecasting Time-Series Data 7. Chapter 5: Detecting Anomalies in Your Data Using Power BI 8. Chapter 6: Using Natural Language to Explore Data with the Q&A Visual 9. Chapter 7: Using Cognitive Services 10. Chapter 8: Integrating Natural Language Understanding with Power BI 11. Chapter 9: Integrating an Interactive Question and Answering App into Power BI 12. Chapter 10: Getting Insights from Images with Computer Vision 13. Part 3: Create Your Own Models
14. Chapter 11: Using Automated Machine Learning with Azure and Power BI 15. Chapter 12: Training a Model with Azure Machine Learning 16. Chapter 13: Responsible AI 17. Other Books You May Enjoy

Using data profiling tools

When creating Power BI reports, we can visualize key performance indicators (KPIs) and important charts to help us understand the data we work with. Once we are working with the data as fields from our report view, we need to go back into the Power Query Editor to make any changes to our data. To avoid going back and forth between these two views, you already want to understand some basic things about your data while you are still in the Power Query Editor in order to clean up your data accordingly. To already explore your data in the Power Query Editor, we can use data profiling tools. These easy-to-use tools will show us what our data looks like so that we can decide what transformations we still need to apply in the Power Query Editor.

The data profiling tools consist of three parts, as outlined here:

  • Column quality
  • Column distribution
  • Column profile

You can find these three features in the View tab of the Power Query Editor...

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