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

Exercise: summary aggregates for improved performance

The following exercise will use two aggregates from a single data source, one at the State level and the other at the City level. These aggregated data sources will be used to create two worksheets. Each of these worksheets will be placed on a dashboard along with a third worksheet with row-level information. Finally, filter actions will be created to tie the three worksheets together. The purpose of the exercise is to demonstrate how small extracts might be used in conjunction with a larger dataset to create a more performant dashboard.

  1. Open the workbook associated with this chapter and navigate to the State Agg worksheet.
  2. In the Data pane, select the SS - State Agg data source.
  3. Create a filled map using state by placing State on the Detail shelf and selecting Filled Map from the Marks View card.
  4. Right click on the SS - State...