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Tableau Desktop Specialist Certification

You're reading from   Tableau Desktop Specialist Certification A prep guide with multiple learning styles to help you gain Tableau Desktop Specialist certification

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781801810135
Length 276 pages
Edition 1st Edition
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Author (1):
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Adam Mico Adam Mico
Author Profile Icon Adam Mico
Adam Mico
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Introduction to Tableau
2. Chapter 1: Tableau Desktop Specialist Certification Overview FREE CHAPTER 3. Chapter 2: Data Ingestion 4. Chapter 3: How to Interpret Data in a Tableau Visualization 5. Chapter 4: Working with Dimensions, Measures, and Marks (Oh My) 6. Chapter 5: Calculations and Functions Syntax 7. Part 2: Mastering the Exam
8. Chapter 6: Connecting to and Preparing Data 9. Chapter 7: Understanding and Creating Fundamental Charts in Tableau 10. Chapter 8: Data Organization and Worksheet Analytics 11. Chapter 9: Sharing Insights 12. Part 3: The Final Prep
13. Chapter 10: Exam Preparation 14. Chapter 11: Mock Test 15. Index 16. Other Books You May Enjoy

Overview of the Data Source pane

The Data Source pane is the introductory block for building any Tableau visualization. From here, you can see how the data is ingested and how basic data types are cleaned, and see how the data is connected before working with it in Tableau. Knowing about the Data Source pane is not only relevant for the exam, but it also makes data visualization more intuitive:

Figure 2.6 – Data Source pane (Sample – Superstore dataset)

Figure 2.6 – Data Source pane (Sample – Superstore dataset)

Figure 2.6 shows the Data Source pane section. The following list covers the main components of the Data Source pane so that you can understand its core capabilities:

  1. Connections: This shows what data connections were used. In this case, it shows Sample – Superstore; underneath, we can see the name of its source – that is, Microsoft Excel. From there, additional data sources can be added or linked.
  2. Use Data Interpreter: This displays if the data source comes from...
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