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

Summary


This chapter focused on two ways of enhancing your visualization. With the Analytics tools, you can use Models such as Trend Line, Cluster, or Forecast, but also all sorts of Reference Lines, Bands, and Distribution. You can use all these options to add new ways to visualize your data and get a deeper understanding of it. With Parameters, you can create any input to interact with the visualization. The last section of this chapter summed up what you saw during this chapter with a real use-case using Parameters and a Reference Line. 

In the next chapter, we'll talk about the Data Source again. You'll discover how to connect to a Spatial file, how to work with multiple Data Sources, and how to create advanced Unions.