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Learning Tableau 2022

Learning Tableau 2022

By : Joshua N. Milligan
4.8 (29)
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Learning Tableau 2022

Learning Tableau 2022

4.8 (29)
By: Joshua N. Milligan

Overview of this book

Learning Tableau 2022 helps you get started with Tableau and data visualization, but it does more than just cover the basic principles. It helps you understand how to analyze and communicate data visually, and articulate data stories using advanced features. This new edition is updated with Tableau’s latest features, such as dashboard extensions, Explain Data, and integration with CRM Analytics (Einstein Analytics), which will help you harness the full potential of artificial intelligence (AI) and predictive modeling in Tableau. After an exploration of the core principles, this book will teach you how to use table and level of detail calculations to extend and alter default visualizations, build interactive dashboards, and master the art of telling stories with data. You’ll learn about visual statistical analytics and create different types of static and animated visualizations and dashboards for rich user experiences. We then move on to interlinking different data sources with Tableau’s Data Model capabilities, along with maps and geospatial visualization. You will further use Tableau Prep Builder’s ability to efficiently clean and structure data. By the end of this book, you will be proficient in implementing the powerful features of Tableau 2022 to improve the business intelligence insights you can extract from your data.
Table of Contents (20 chapters)
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18
Other Books You May Enjoy
19
Index

Summary

Calculations open amazing possibilities in Tableau. You are no longer confined to the fields in the source data. With calculations, you can extend the data by adding new dimensions and measures, fix bad or poorly formatted data, and enhance the user experience with parameters for user input and calculations that enhance the visualizations.

The key to using calculated fields is understanding the four main types of calculations in Tableau. Row-level calculations are performed for every row of source data. These calculated fields can be used as dimensions or they can be aggregated as measures. Aggregate calculations are performed at the level of detail that’s defined by the dimensions that are present in a view. They are especially helpful, and even necessary, when you first aggregate components of the calculation before performing additional operations.

In the next chapter, we’ll explore the third of the four main types of calculations: level of detail...

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