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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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Questions

  1. What is the first step in planning for a custom function in Power Query?
    1. Writing M code
    2. Testing and debugging
    3. Defining the problem
    4. Creating parameters
  2. What role do parameters play in custom functions?
    1. Identifying issues in the code
    2. Enhancing documentation
    3. Making functions flexible and adaptable
    4. Debugging the function
  3. Why is it important to provide default values for parameters in custom functions?
    1. To increase the complexity of the function
    2. To make the function less user-friendly
    3. To improve the overall user experience
    4. To avoid testing and debugging
  4. What is crucial for defining the structure of a custom function?
    1. Complex M code
    2. Writing extensive documentation
    3. Choosing a descriptive name
    4. Setting default parameter values
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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