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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.
Read more about Marleen Meier

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Building a map of intersections

I continue by opening the violations dataset in Tableau:

  1. Longitude and latitude values are not automatically recognized, so I have to change both to Number (decimal) by clicking on the data type icon:

Figure 12.41: Change data type

  1. Then, I change the Longitude and Latitude fields to Measure by clicking on the drop-down arrow on the field as shown in the preceding figure and selecting Convert to Measure.
  2. Now I can click on the data type icon again and change the two fields to Latitude and Longitude:

Figure 12.42: Changing the geographic role

  1. By dragging Longitude to Columns, Latitude to Rows, and Intersection to the Text shelf, I visualize the red-light locations—at least the ones that have ever had a violation:

Figure 12.43: Intersections in Chicago

  1. The name of the worksheet will be Intersection, and since I am looking at violations, I change the color...
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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