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You're reading from  Mastering Tableau 2023 - Fourth Edition

Product typeBook
Published inAug 2023
PublisherPackt
ISBN-139781803233765
Edition4th Edition
Concepts
Business Intelligence
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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.
Read more about Marleen Meier

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Creating custom polygons

Geographic areas for which Tableau natively provides polygons include worldwide airport codes, cities, countries, regions, territories, states, provinces, and some postcodes and second-level administrative districts (county-equivalents): U.S. area codes, Core-Based Statistical Areas (CBSAs), Metropolitan Statistical Areas (MSAs), congressional districts, and ZIP codes. This means, for example, that a filled map can easily be created for the countries of the world. Simply copy a list of the world’s countries (Ctrl + C) and paste that list into Tableau by pressing Ctrl + V while your mouse is located on an empty worksheet in Tableau Desktop. A new data source will be added to the top right under Data. Next, set the View type in Tableau to Filled Map and place the country list on the Detail shelf. Tableau will automatically draw polygons for each of those data points:

Figure 9.9: Native polygons

There are some geographic types for which Tableau...

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Mastering Tableau 2023 - Fourth Edition
Published in: Aug 2023Publisher: PacktISBN-13: 9781803233765
© 2023 Packt Publishing Limited All Rights Reserved

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

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