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Getting Started with Tableau 2019.2

Getting Started with Tableau 2019.2 - Second Edition

By : Tristan Guillevin
5 (2)
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Getting Started with Tableau 2019.2

Getting Started with Tableau 2019.2

5 (2)
By: Tristan Guillevin

Overview of this book

Tableau is one of the leading data visualization tools and is regularly updated with new functionalities and features. The latest release, Tableau 2019.2, promises new and advanced features related to visual analytics, reporting, dashboarding, and a host of other data visualization aspects. Getting Started with Tableau 2019.2 will get you up to speed with these additional functionalities. The book starts by highlighting the new functionalities of Tableau 2019.2, providing concrete examples of how to use them. However, if you're new to Tableau, you won't have to worry as the book also covers the major aspects of Tableau with relevant examples. You'll learn how to connect to data, build a data source, visualize your data, build a dashboard, and even share data online. In the concluding chapters, you'll delve into advanced techniques such as creating a cross-database join and data blending. By the end of this book, you will be able to use Tableau effectively to create quick, cost-effective, and business-efficient Business Intelligence (BI) solutions.
Table of Contents (16 chapters)
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15
Index

Summary

This chapter is a door opened to unlimited power. With the right dataset and calculations, you can build absolutely anything you want. Yes, it requires a bit, and sometimes, a lot of practice, but mastering Tableau goes through this. As the title of this book says, we're only getting started here!

In this chapter, you learned the basics of Calculated Fields. With simple examples, you learned why aggregation is so important, created your first calculations, and used your first Tableau functions. In the second part of this chapter, things started to get a bit more complicated, as we looked at two types of special functions: Table Calculation and LOD. Table functions are applied after the aggregations and can be computed in various ways. You can use them to calculate ranks, difference, percentages of totals, and more. LOD can ignore dimension filters and even remove duplication. Both are powerful; both require practice.

In the next chapter, you'll learn how to use all the analytics...

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