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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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Unions

Sometimes you might want to analyze data with the same metadata structure that is stored in different files – for example, sales data from multiple years, different months, or countries. Instead of copying and pasting the data, you can union it. We already touched upon this topic in Chapter 3, Using Tableau Prep Builder, but a union is basically where Tableau will append new rows of data to existing columns with the same header. For the following exercise, we will use FIFA data (from the PlayStation game, not the World Cup). The data is from Kaggle (https://www.kaggle.com/datasets/stefanoleone992/fifa-22-complete-player-dataset?resource=download) and ships in multiple CSVs; each CSV contains data for one year and male/female are split too.

For our analysis, we want to combine all the files into one. Hence, we need to union, by taking the following steps:

  1. Download the CSV files from GitHub (https://github.com/PacktPublishing/Mastering-Tableau-2023-Fourth...
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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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