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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 one of the concerns (described in this chapter) when importing data into Power BI?
    1. Location
    2. Size of data
    3. Data completeness
    4. Formatting
  2. Which Power BI tool can be used to define rules and highlight data points that fall outside of the predefined accuracy ranges?
    1. Power Query
    2. Power Pivot
    3. Conditional formatting
    4. Data profiling
  3. What does Power BI’s DAX language allow users to create?
    1. Visualizations
    2. Semantic models
    3. Relationships between tables
    4. Calculated columns and measures
  4. How can users filter out irrelevant data during the data import process in Power BI?
    1. Using DAX expressions
    2. Through conditional formatting
    3. By creating relationships
    4. Utilizing data transformation capabilities
  5. What is the fundamental concept introduced in the last section?
    1. Data profiling
    2. Data transformation
    3. Data normalization
    4. Data completeness
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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