Book Image

Mastering Tableau 2019.1 - Second Edition

By : Marleen Meier, David Baldwin
Book Image

Mastering Tableau 2019.1 - Second Edition

By: Marleen Meier, David Baldwin

Overview of this book

Tableau is one of the leading business intelligence (BI) tools used to solve BI and analytics challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. This book is also the second edition of the popular Mastering Tableau series, with new features, examples, and updated code. The book covers essential Tableau concepts and its advanced functionalities. Using Tableau Hyper and Tableau Prep, you’ll be able to handle and prepare data easily. You’ll gear up to perform complex joins, spatial joins, union, and data blending tasks using practical examples. Following this, you’ll learn how to perform data densification to make displaying granular data easier. Next, you’ll explore expert-level examples to help you with advanced calculations, mapping, and visual design using various Tableau extensions. With the help of examples, you’ll also learn about improving dashboard performance, connecting Tableau Server, and understanding data visualizations. In the final chapters, you’ll cover advanced use cases such as Self-Service Analytics, Time Series Analytics, and Geo-Spatial Analytics, and learn to connect Tableau to R, Python, and MATLAB. By the end of this book, you’ll have mastered the advanced offerings of Tableau and be able to tackle common and not-so-common challenges faced in the BI domain.
Table of Contents (20 chapters)
Free Chapter
1
Section 1: Tableau Concepts, Basics
9
Section 2: Advanced Calculations, Mapping, Visualizations
16
Section 3: Connecting Tableau to R, Python, and Matlab

Summary

In this chapter, we covered the basics of Tableau. We began with some basic terminology, then we looked at the basics of creating worksheets and Dashboards. We focused on default behavior, how to override that behavior, and we considered best practices. Then we reviewed Measure Names and Measure Values.

After that, we explored three essential Tableau concepts: Dimensions and Measures, Row-, Aggregate-, and Table-level, and Continuous and Discrete. Of particular importance is understanding that row- and aggregate-level calculations are computed by the data source engine, while table-level calculations are handled by Tableau. Finally, we saw how to adjust your Dashboard for other devices, such as a cellphone or tablet.

In the next chapter, we'll continue our Tableau exploration by looking at data. We'll explore how to prepare data for Tableau by looking at joins...