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Tableau Certified Data Analyst Certification Guide

You're reading from   Tableau Certified Data Analyst Certification Guide Ace the Tableau Data Analyst certification exam with expert guidance and practice material

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781803243467
Length 462 pages
Edition 1st Edition
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Authors (2):
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Daisy Jones Daisy Jones
Author Profile Icon Daisy Jones
Daisy Jones
Harry Cooney Harry Cooney
Author Profile Icon Harry Cooney
Harry Cooney
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Toc

Table of Contents (11) Chapters Close

Preface 1. Chapter 1: Connecting to Data FREE CHAPTER 2. Chapter 2: Transforming Data 3. Chapter 3: Calculations 4. Chapter 4: Grouping and Filtering 5. Chapter 5: Charts 6. Chapter 6: Dashboards 7. Chapter 7: Formatting 8. Chapter 8: Publishing and Managing Content 9. Chapter 9: Accessing the Online Practice Resources 10. Other Books You May Enjoy

Summary

It is important to consider data quality before conducting analysis in Tableau. If data has not been assessed for consistency, accuracy, and completeness, then the insights derived from it cannot be trusted.

There are multiple data types for fields in Tableau, including string, numeric, Boolean, geographic, date, and date and time. Fields behave differently depending on data type but also depending on color. Blue fields are discrete, which means that they essentially consist of a finite number of grouping values. Green fields are continuous, which means there is theoretically an infinite number of values that are possible. Fields can also be either dimensions or measures. Dimensions are used to break up views, whereas measures are used to aggregate metrics.

Tableau Desktop offers a wide range of functionality for cleaning, transforming, and combining data to ensure that it is ready for analysis. Fields can be cleaned by renaming, filtering out unneeded values, setting...

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