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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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Keep visualizations simple

Some people tire of seeing the same chart types over and over. This leads to requests such as, can we spice up the dashboard a bit? Normally, such sentiments should be resisted. As stated at the beginning of this chapter, introducing variety for its own sake is counterproductive. Nevertheless, there are times when a less common visualization type may be a better choice than a more popular type. When are those times?

Use less common chart types in the following scenarios:

  • The chart is used to catch the end user’s attention.
  • The chart type presents the data more effectively.

Sometimes, a less common chart type can be effectively used to catch the end user’s attention for some goal, such as humor, making a salient point, or making the visualization more memorable. One such example can be found on the Tableau 404 error page. Navigate to http://www.tableau.com/asdf and observe Bigfoot in a packed bubble chart. Note...

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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