Book Image

Learning Tableau 2019 - Third Edition

By : Joshua N. Milligan
Book Image

Learning Tableau 2019 - Third Edition

By: Joshua N. Milligan

Overview of this book

Tableau is the gold standard of business intelligence and visual analytics tools in every industry. It enables rapid data visualization and interpretation with charts, graphs, dashboards, and much more. Updated with the latest features of Tableau, this book takes you from the foundations of the Tableau 2019 paradigm through to advanced topics. This third edition of the bestselling guide by Tableau Zen Master, Joshua Milligan, will help you come to grips with updated features, such as set actions and transparent views. Beginning with installation, you'll create your first visualizations with Tableau and then explore practical examples and advanced techniques. You'll create bar charts, tree maps, scatterplots, time series, and a variety of other visualizations. Next, you'll discover techniques to overcome challenges presented by data structure and quality and engage in effective data storytelling and decision making with business critical information. Finally, you'll be introduced to Tableau Prep, and learn how to use it to integrate and shape data for analysis. By the end of this book, you will be equipped to leverage the powerful features of Tableau 2019 for decision making.
Table of Contents (18 chapters)
Free Chapter
1
Section 1: Tableau Foundations
5
Section 2: Leveraging the Full Power of Tableau
10
Digging Deeper - Trends, Clustering, Distributions, and Forecasting
11
Section 3: Data Prep and Structuring
14
Section 4: Advanced Techniques and Sharing with Others

Working with Data in Tableau

Tableau offers the ability to connect to nearly any data source. It does so using a unique paradigm that allows it to leverage the power and efficiency of existing database engines with an option to extract data locally. This chapter focuses on essential concepts of how Tableau works with data, including the following topics:

  • The Tableau paradigm
  • Connecting to data
  • Working with extracts instead of live connections
  • Tableau file types
  • Metadata and sharing connections
  • Joins and blends
  • Filtering data