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Mastering Tableau 2021

Mastering Tableau 2021

By : Marleen Meier, David Baldwin
4.2 (29)
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Mastering Tableau 2021

Mastering Tableau 2021

4.2 (29)
By: Marleen Meier, David Baldwin

Overview of this book

Tableau is one of the leading business intelligence (BI) tools that can help you solve data analysis challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you’ll be able to perform data preparation and handling easily. You’ll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Next, you’ll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You’ll also learn 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, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within it. By the end of this Tableau book, you’ll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain.
Table of Contents (18 chapters)
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16
Another Book You May Enjoy
17
Index

Summary

In this chapter, we looked at three use cases of self-service analytics. One was about world indices, one was about traffic-light violations, and the last one used distance measures to find the radius within which a house could be located given some key variables. Our main takeaway was that you should always start by planning your work, then get to know the data, use descriptive statistics, and adjust your plan according to your intermediate results.

A dashboard is never really finished: you can always change things; your audience might change; stakeholder wishes might differ. Deliver a working visualization with basic functionality and continue to develop after you get feedback. Depending on your backlog or other circumstances, the basics might be enough.

The next chapter will be all about improving performance. With more and more data, performance is key and could mean the difference between success and failure.

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