Book Image

Mastering Tableau 2021 - Third Edition

By : Marleen Meier, David Baldwin
Book Image

Mastering Tableau 2021 - Third Edition

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)
16
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17
Index

Summary

This chapter just scratched the surface regarding the options of working with R and Python. After finishing this chapter, you should now be able to connect to Python and R from Tableau and recognize and write the basic syntax for both programming languages in Tableau. Most importantly, you are now skilled to leverage the power of R and Python functions in Tableau from a simple mean calculation, to regressions, all the way to implementing your own machine learning model. Although we covered installation, integration, and workflow, as well as some of the more popular functions and use cases, there is much more to explore. In fact, the possibilities of Tableau's programming integration remain largely uncharted territory in the BI community. The intrepid in data visualization are pushing the envelope, but there's much to be done. For those readers looking to enhance their career options, expertise in both packages could offer great advantages!

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