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You're reading from  Data Cleaning with Power BI

Product typeBook
Published inFeb 2024
PublisherPackt
ISBN-139781805126409
Edition1st Edition
Concepts
Data Analysis
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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 7 – Transforming Data with the M Language

  1. B – Transforming entire columns or tables – M’s purpose is transforming entire columns or tables
  2. C – let – The keyword marking the beginning of an M variable declaration block is let
  3. C – Using a variable, often named Source – A data source is typically connected using the Source function
  4. B – A step/identifier that includes a space or special characters – The # symbol helps to identify steps or identifiers that include spaces or special characters within the name
  5. B – Number.From – The function used to convert extracted text into a numeric value is Number.From
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Data Cleaning with Power BI
Published in: Feb 2024Publisher: PacktISBN-13: 9781805126409
© 2024 Packt Publishing Limited All Rights Reserved

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

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