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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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Summary

We began this chapter by exploring why LODs are so impactful and why their inclusion in Tableau was so lauded. Next, we built two playgrounds to explore how the three LODs—FIXED, EXCLUDE, and INCLUDE—work. Tableau’s default is to base calculations on the dimensions visible in the view. For example, if you have states in your view, the sales amount will be presented by state. If you are adding cities, the sales amount will be adjusted by state, by city. But, if you want to manipulate this default logic, you can use LODs. They allow you to calculate measures based on any dimension, no matter whether that dimension is represented in the view or not. We also saw that FIXED LODs are higher in the order of operations in Tableau than EXCLUDE and INCLUDE LODs. This is important to remember so that you use the correct LOD and/or filter in your dashboard.

In the next chapter, we’ll turn our attention to the visual side of Tableau and explore different...

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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