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Getting Started with Tableau 2018.x

Getting Started with Tableau 2018.x

By : Guillevin, Pires
4 (3)
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Getting Started with Tableau 2018.x

Getting Started with Tableau 2018.x

4 (3)
By: Guillevin, Pires

Overview of this book

Tableau is one of the leading business intelligence tools used worldwide, in organizations of every scale. In its latest release, Tableau 2018 promises richer and more useful features related to visual analytics, reporting, dashboarding, and a host of other data visualization aspects. Getting Started with Tableau 2018.x will get you up and running with these features. The book starts with all the new functionalities of the different Tableau 2018 versions, along with concrete examples of how to use them. However, if you're new to Tableau, don't worry! The rest of the book will guide you through each major aspect of Tableau with examples. You'll learn how to connect to data, build a data source, visualize your data, build a dashboard, and share it online. In the final chapters, you'll also learn advanced techniques such as creating a cross-database join, data blending, and more. By the end of the book, you will have a firm understanding of how to effectively use Tableau to create quick, cost-effective, and business-efficient business intelligence solutions.
Table of Contents (16 chapters)
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1
Catching Up with Tableau 2018

Summary


This chapter is a door that has been opened to so much more. 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 understood 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 with 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, percentage of total, and more. LOD can ignore Dimension Filters. Both are powerful; both require practice. 

In the next chapter, you'll first learn how to use all the analytics tools provided by Tableau...

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