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

Use case – Self-service Analytics

Imagine your line manager gives you the following task:

Create a dashboard for me in which I can easily spot all correlated indices. I need it by tomorrow morning.

Now, take a few minutes before you continue reading and think about how you would tackle this question. Write down your steps, open the workbook related to this chapter from https://public.tableau.com/profile/marleen.meier, and follow your steps; time how long it takes you.

And now, I will illustrate one way I could imagine solving this task:

  1. First, I opened the file in Tableau Prep in order to get insights on the descriptive analytics:

With this dataset, I actually didn't see too much in Prep. It's 1 row per country and another 65 columns with different indices. And because I know that my boss wants to see a quantitative analysis on the correlations, I can continue...