Overview of this book

The Tableau Desktop Specialist certification is fundamental for any data visualization professional who works in the field with Tableau. This book gets you started by covering the exam format, Tableau basics, and best practices for preparing data for analysis and visualization. It also builds on your knowledge of advanced Tableau topics to get you up to speed with the essential domains and domain objectives. Although the guide provides an outline and starting point to key in on what needs to be understood before the examination, it also delivers in context to give you a strong understanding of each piece before taking the exam. Instructions on how to get hands on with examples, a common data source, and suggested elements are also included. Understanding the concepts will not only assist you in passing the examination, but will also help you work effectively with the tool in your workspace. By the end of this book, you'll be able to efficiently prepare for the certification exam with the help of mock tests, detailed explanations, and expert advice from the author.
Preface
Part 1: Introduction to Tableau
Free Chapter
Chapter 1: Tableau Desktop Specialist Certification Overview
Chapter 2: Data Ingestion
Chapter 3: How to Interpret Data in a Tableau Visualization
Chapter 4: Working with Dimensions, Measures, and Marks (Oh My)
Chapter 5: Calculations and Functions Syntax
Part 2: Mastering the Exam
Chapter 6: Connecting to and Preparing Data
Chapter 7: Understanding and Creating Fundamental Charts in Tableau
Chapter 8: Data Organization and Worksheet Analytics
Chapter 9: Sharing Insights
Part 3: The Final Prep
Chapter 10: Exam Preparation
Chapter 11: Mock Test
Index
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Discrete versus continuous (blue versus green fields – otherwise known as pills)

The customary rule of thumb is that measures are green, or continuous, and dimensions are blue, or discrete. In most cases, this is accurate, but measures and dimensions can be both discrete and continuous.

Tableau considers continuous fields as fields with an infinite range that can create an axis for a visualization. On the other hand, discrete fields are finite and are used to build headers for a visualization.

The most common data types in dimensions that see a continuous value are dates. To test which fields can be modified to discrete or continuous, you simply need to right-click the field to see whether it can be converted from discrete to continuous or continuous to discrete. Dimensions that do not permit changes from discrete to continuous or vice versa will not show this option. Please see Figure 4.4:

Figure 4.4: Order Date is a discrete dimension but...