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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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Chapter 9 – Advanced Data Cleaning Techniques

  1. C – Fuzzy matching and fill down – They are the two essential techniques discussed in the chapter for cleaning and preparing data using the Query Editor in Power BI
  2. C – Range from 0 to 1, indicating no to perfect similarity – In the context of fuzzy matching, the similarity score ranges from 0 to 1, indicating no to perfect similarity
  3. D – When working with time series data and maintaining data continuity – The fill down technique in Power BI’s Query Editor is particularly useful in this scenario
  4. D – Regularly validate the results of data cleaning efforts and maintain documentation – This is a crucial best practice emphasized when working with fuzzy matching and fill down in Power BI
  5. C – To extend the capabilities of Power BI by leveraging external ecosystems – This is the primary purpose of using custom data scripts in languages such...
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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