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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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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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Heatmaps

I want to share a feature with you that was part of an earlier Tableau release and has proven to be very useful when working with geographical data. It is the Marks type Density with which you can create heatmaps. This new feature is not limited to maps; you can also use it for any other type of chart. However, it is most efficient for dense data where patterns cannot be spotted easily.

The following steps will illustrate an example of creating a heatmap:

  1. Open the Citylimits tab in the workbook related to this chapter. If you did not complete the previous exercise, please open the Citylimits tab from the solutions workbook of this chapter.
  2. Duplicate the worksheet, and call it City Limits (2).
  3. Set the Marks card type to Density:

Figure 9.19: Texas city density

  1. Click on Color in the Marks card and select any color you like. I chose Density Gold Dark.
  2. Decrease Size in the Marks card by dragging the slider to the left...
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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