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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 query to populate a Date table

Date aggregations are an important component of both Power BI and business intelligence tools as a whole. Understanding and recalculating trends at the level of weeks, months, quarters, and years adds robust analytical capabilities. Date tables can even be used to slice and dice data by weekends, holidays, fiscal calendars, and more. Power BI even has the capability to specify a table as a Date table to enable special time intelligence capabilities.

A .csv file of Date data is available at the Packt GitHub site link: https://github.com/PacktPublishing/Unleashing-Your-Data-with-Power-BI-Machine-Learning-and-OpenAI/tree/main/Chapter-02. Follow these steps to bring it into Power Query:

  1. Copy https://raw.githubusercontent.com/PacktPublishing/Unleashing-Your-Data-with-Power-BI-Machine-Learning-and-OpenAI/main/Chapter-02/date.csv.
  2. In Power Query, select New Source and then Web. Paste in the URL and hit OK.
  3. When the preview...
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