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Expert Data Modeling with Power BI, Second Edition

You're reading from   Expert Data Modeling with Power BI, Second Edition Enrich and optimize your data models to get the best out of Power BI for reporting and business needs

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803246246
Length 698 pages
Edition 2nd Edition
Languages
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Author (1):
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Soheil Bakhshi Soheil Bakhshi
Author Profile Icon Soheil Bakhshi
Soheil Bakhshi
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Table of Contents (22) Chapters Close

Preface 1. Section I: Data Modeling in Power BI
2. Introduction to Data Modeling in Power BI FREE CHAPTER 3. Data Analysis eXpressions and Data Modeling 4. Section II: Data Preparation in Query Editor
5. Data Preparation in Power Query Editor 6. Getting Data from Various Sources 7. Common Data Preparation Steps 8. Star Schema Preparation in Power Query Editor 9. Data Preparation Common Best Practices 10. Section III: Data Modeling
11. Data Modeling Components 12. Star Schema and Data Modeling Common Best Practices 13. Section IV: Advanced Data Modeling
14. Advanced Data Modeling Techniques 15. Row-Level and Object-Level Security 16. Dealing with More Advanced Data Warehousing Concepts in Power BI 17. Introduction to Dataflows 18. DirectQuery Connections to Power BI Datasets and Analysis Services in Composite Models 19. New Options, Features, and DAX Functions 20. Other Books You May Enjoy
21. Index

Extracting numbers from text

Another common data preparation step is when we need to extract a number from text values. An excellent example is when we want to extract a flat number or a ZIP code from an address. Other examples include extracting the numeric part of a sales order number or cleaning full names of typos, such as when some names contain numbers. We will continue using the Chapter 5, Common Data Preparation Steps, Replaced Values.pbix sample file from the previous section. In our scenario, we want to add two new columns to the Customer table, as follows:

  • Extract Flat Number as a new column from AddressLine1.
  • Extract the rest of the address, Street Name, as a new column.

As the following image shows, the AddressLine1 column contains the flat number in different parts of the address; therefore, splitting by transitioning from digit to non-digit would not work:

Graphical user interface  Description automatically generated

Figure 5.49: Flat numbers appear in different places in AddressLine1

To...

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