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Mastering Tableau 2023

Mastering Tableau 2023

By : Marleen Meier
4.7 (36)
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Mastering Tableau 2023

Mastering Tableau 2023

4.7 (36)
By: Marleen Meier

Overview of this book

This edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added. Throughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. Later chapters will teach you all about improving dashboard performance, connecting to Tableau Server, and understanding data visualization with examples. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau. By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.
Table of Contents (19 chapters)
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17
Other Books You May Enjoy
18
Index

Integrating Programming Languages

After 14 chapters full of Tableau functionality and exercises, what are we still missing? Correct, the one feature that opens a whole new universe of opportunities: programming integration! If you need a function that isn’t covered natively by Tableau’s calculated fields and you know how to code it, you can fall back on programming integrations. To be precise, two languages are supported: R and Python.

Imagine the following scenario: you deal with a financial dataset and want to add an options pricing formula to your Tableau dashboard. You look up the formula and see that you have all the required variables, like strike price, stock price, and volatility, but you also need a probability density function, which you can’t find in Tableau. In this case, you can fall back to the programming integration and run the calculation in R or Python and send back the output—great, isn’t it? Now imagine a second scenario:...

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