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You're reading from  Data Cleaning with Power BI

Product typeBook
Published inFeb 2024
PublisherPackt
ISBN-139781805126409
Edition1st Edition
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Author (1)
Gus Frazer
Gus Frazer
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Gus Frazer

Gus Frazer is a seasoned analytics consultant who focuses on business intelligence solutions. With over eight years of experience working for the two market-leading platforms, Power BI (Microsoft) and Tableau, he has amassed a wealth of knowledge and expertise. He also has experience in helping hundreds of customers to drive their digital and data transformations, scope data requirements, drive actionable insights, and most important of all, clean data ready for analysis.
Read more about Gus Frazer

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Avoiding circular references

Circular references in Power BI models can be a perplexing issue that hinders effective data analysis. They occur when there’s a loop in the relationships between tables, creating ambiguity in calculations.

In this section, we’ll delve into best practices for identifying and avoiding circular references in your Power BI models, ensuring data clarity and smooth report generation.

Understanding circular references

Circular references arise when there is an ambiguous or recursive relationship between two or more tables in your Power BI model. This ambiguity can lead to incorrect results in calculations, and Power BI attempts to address it by disallowing circular references by default.

Let’s walk through an example of when this might happen:

  1. Open the Adventure Works Sales Data (Clean Star Schema).pbix file and select Model View in Power BI.
  2. Let’s create a new table that contains all the products we own that...
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Data Cleaning with Power BI
Published in: Feb 2024Publisher: PacktISBN-13: 9781805126409

Author (1)

author image
Gus Frazer

Gus Frazer is a seasoned analytics consultant who focuses on business intelligence solutions. With over eight years of experience working for the two market-leading platforms, Power BI (Microsoft) and Tableau, he has amassed a wealth of knowledge and expertise. He also has experience in helping hundreds of customers to drive their digital and data transformations, scope data requirements, drive actionable insights, and most important of all, clean data ready for analysis.
Read more about Gus Frazer