Book Image

Getting Started with Tableau 2018.x

By : Tristan Guillevin
Book Image

Getting Started with Tableau 2018.x

By: Tristan Guillevin

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 (21 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Free Chapter
1
Catching Up with Tableau 2018
Index

Row-level filters


To create a Row-lever filter, your Data Source must contain a field with the name of the User. It is a great solution when access is already defined in your data. This option uses a Tableau function: USERNAME(). This function returns the username of the current logged-in User.

Again, the best way to understand it is with an example. You can reproduce the tutorial with the Users and Groups in your Tableau Server and the Sample-Superstore Data Source. For this tutorial, I've created three Users in Tableau Server and the following Excel File, which I named User Access:

In the Excel File, we specified that:

  • John Snow has access to all the Regions (do not confuse John Snow, a famous epidemiologist who discovered, in 1854, that Cholera deaths were clustered around the water pumps in London thanks to data visualization, with Jon Snow, who knows nothing)
  • William Playfair only has access to West
  • Charles Minard only has access to Central

Here's the step-by-step guide of how to create a...