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Power BI Machine Learning and OpenAI

You're reading from   Power BI Machine Learning and OpenAI Explore data through business intelligence, predictive analytics, and text generation

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781837636150
Length 308 pages
Edition 1st Edition
Languages
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Author (1):
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Greg Beaumont Greg Beaumont
Author Profile Icon Greg Beaumont
Greg Beaumont
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Data Exploration and Preparation
2. Chapter 1: Requirements, Data Modeling, and Planning FREE CHAPTER 3. Chapter 2: Preparing and Ingesting Data with Power Query 4. Chapter 3: Exploring Data Using Power BI and Creating a Semantic Model 5. Chapter 4: Model Data for Machine Learning in Power BI 6. Part 2: Artificial Intelligence and Machine Learning Visuals and Publishing to the Power BI Service
7. Chapter 5: Discovering Features Using Analytics and AI Visuals 8. Chapter 6: Discovering New Features Using R and Python Visuals 9. Chapter 7: Deploying Data Ingestion and Transformation Components to the Power BI Cloud Service 10. Part 3: Machine Learning in Power BI
11. Chapter 8: Building Machine Learning Models with Power BI 12. Chapter 9: Evaluating Trained and Tested ML Models 13. Chapter 10: Iterating Power BI ML models 14. Chapter 11: Applying Power BI ML Models 15. Part 4: Integrating OpenAI with Power BI
16. Chapter 12: Use Cases for OpenAI 17. Chapter 13: Using OpenAI and Azure OpenAI in Power BI Dataflows 18. Chapter 14: Project Review and Looking Forward 19. Index 20. Other Books You May Enjoy

Building a curated table of the primary STRIKE_REPORTS data

You can now start building out a curated version of the STRIKE_REPORTS metadata and query logic in Power Query. You will follow these steps:

  1. Reference the raw table to create a new query.
  2. Keep only the columns that you need.
  3. Make data type changes.
  4. Make column name changes.

Let’s begin.

Referencing the raw table to create a new query

You will put your new query into a new group in Power Query called Curated Reporting Queries:

  1. Create a new group in Power Query called Curated Reporting Queries using the same methods by which you created the Raw Data group.
  2. Right-click on the STRIKE_REPORTS query in the Raw Data group and select the option for Reference. Your new query will reference the unaltered source query from the wildlife.accdb source. This way, you can make changes to the metadata and query logic while still having an unaltered view of the source in Power Query.
  3. Right...
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