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Mastering Tableau 2023 - Fourth Edition

You're reading from  Mastering Tableau 2023 - Fourth Edition

Product type Book
Published in Aug 2023
Publisher Packt
ISBN-13 9781803233765
Pages 684 pages
Edition 4th Edition
Languages
Author (1):
Marleen Meier Marleen Meier
Profile icon Marleen Meier

Table of Contents (19) Chapters

Preface Reviewing the Basics Getting Your Data Ready Using Tableau Prep Builder Learning about Joins, Blends, and Data Structures Introducing Table Calculations Utilizing OData, Data Densification, Big Data, and Google BigQuery Practicing Level of Detail Calculations Going Beyond the Basics Working with Maps Presenting with Tableau Designing Dashboards and Best Practices for Visualizations Leveraging Advanced Analytics Improving Performance Exploring Tableau Server and Tableau Cloud Integrating Programming Languages Developing Data Governance Practices Other Books You May Enjoy
Index

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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