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Learning Tableau 2022

You're reading from   Learning Tableau 2022 Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801072328
Length 568 pages
Edition 5th Edition
Tools
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Author (1):
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Joshua N. Milligan Joshua N. Milligan
Author Profile Icon Joshua N. Milligan
Joshua N. Milligan
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Table of Contents (20) Chapters Close

Preface 1. Taking Off with Tableau FREE CHAPTER 2. Connecting to Data in Tableau 3. Moving Beyond Basic Visualizations 4. Starting an Adventure with Calculations and Parameters 5. Leveraging Level of Detail Calculations 6. Diving Deep with Table Calculations 7. Making Visualizations that Look Great and Work Well 8. Telling a Data Story with Dashboards 9. Visual Analytics: Trends, Clustering, Distributions, and Forecasting 10. Advanced Visualizations 11. Dynamic Dashboards 12. Exploring Mapping and Advanced Geospatial Features 13. Integrating Advanced Features: Extensions, Scripts, and AI 14. Understanding the Tableau Data Model, Joins, and Blends 15. Structuring Messy Data to Work Well in Tableau 16. Taming Data with Tableau Prep 17. Sharing Your Data Story 18. Other Books You May Enjoy
19. Index

The four basic data transformations

In this section, we’ll give you an overview of some basic transformations that can fundamentally change the structure of your data. We’ll start with an overview and then look at some practical examples.

Overview of transformations

In Tableau (and Tableau Prep), there are four basic data transformations. The following definitions broadly apply to most databases and data transformation tools, but there are some details and terminology that are Tableau-specific:

  • Pivots: This indicates the transformation of columns to rows or rows to columns. The latter is possible in Tableau Prep only. The resulting dataset will be narrower and taller with fewer columns and more rows (columns to rows) or wider and shorter with more columns and fewer rows (rows to columns).
  • Unions: This indicates the appending of rows from one table of data to another, with the matching columns aligned together. The resulting data structure is...
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