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You're reading from  Mastering Tableau 2023 - Fourth Edition

Product typeBook
Published inAug 2023
PublisherPackt
ISBN-139781803233765
Edition4th Edition
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Author (1)
Marleen Meier
Marleen Meier
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Marleen Meier

Marleen Meier is an accomplished analyst and author with a passion for statistics and data. By using traditional methodologies and approaches such as Machine Learning and AI, Marleen is dedicated to driving meaningful insights. Currently working as the APAC Data CoE Lead for ABN AMRO Clearing, Marleen is at the forefront of innovation and implementing data-driven strategies in a global financial environment. She has lived and worked in multiple countries, including Germany, the Netherlands, the USA, and Singapore, allowing her to bring a diverse and global perspective to her work. Through her writing and speaking engagements, she aims to empower individuals and organizations to unlock the full potential of their data assets.
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Understanding data structures

The right data structure is not easily definable. True, there are ground rules. For instance, tall data is generally better than wide data. A wide dataset with lots of columns can be difficult to work with, whereas the same data structured in a tall format with fewer columns but more rows is usually easier to work with.

But this is not always the case! Some business questions are more easily answered with wide data structures. And that is the crux of the matter. Business questions determine the right data structure. If one structure answers all questions, great! However, your questions may require multiple data structures. The pivot feature in Tableau helps you adjust data structures on the fly to answer different business questions.

Before beginning this exercise, make sure you understand the following points:

  • Pivoting in Tableau is limited to Excel, text files, and Google Sheets; otherwise, you must use Custom SQL or Tableau Prep
  • ...
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Mastering Tableau 2023 - Fourth Edition
Published in: Aug 2023Publisher: PacktISBN-13: 9781803233765

Author (1)

author image
Marleen Meier

Marleen Meier is an accomplished analyst and author with a passion for statistics and data. By using traditional methodologies and approaches such as Machine Learning and AI, Marleen is dedicated to driving meaningful insights. Currently working as the APAC Data CoE Lead for ABN AMRO Clearing, Marleen is at the forefront of innovation and implementing data-driven strategies in a global financial environment. She has lived and worked in multiple countries, including Germany, the Netherlands, the USA, and Singapore, allowing her to bring a diverse and global perspective to her work. Through her writing and speaking engagements, she aims to empower individuals and organizations to unlock the full potential of their data assets.
Read more about Marleen Meier