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Mastering Tableau 2023 - Fourth Edition

You're reading from Mastering Tableau 2023 - Fourth Edition

Product type Book

Published in Aug 2023

Publisher Packt

ISBN-13 9781803233765

Pages 684 pages

Edition 4th Edition

Languages

Concepts

Business Intelligence

Author (1):

Marleen Meier

Table of Contents (19) Chapters

Preface

1. Reviewing the Basics

2. Getting Your Data Ready

3. Using Tableau Prep Builder

4. Learning about Joins, Blends, and Data Structures

5. Introducing Table Calculations

6. Utilizing OData, Data Densification, Big Data, and Google BigQuery

7. Practicing Level of Detail Calculations

8. Going Beyond the Basics

9. Working with Maps

10. Presenting with Tableau

11. Designing Dashboards and Best Practices for Visualizations

12. Leveraging Advanced Analytics

13. Improving Performance

14. Exploring Tableau Server and Tableau Cloud

15. Integrating Programming Languages

16. Developing Data Governance Practices

17. Other Books You May Enjoy

18. Index

Getting the best images out of Tableau

In this section, we will review options for exporting an image from Tableau into other applications and discuss the pros and cons of each method. We’ll begin by surveying various screenshot applications and then we will consider methods that are available directly in Tableau.

Perhaps the easiest way to capture an image in Tableau is to use a screen capture tool. The following are some screen capture tools that won’t impact your pocketbook:

Grab is a screen capture utility natively available on macOS. Grab is located in the Utilities folder under Applications. You can also access it via the following shortcuts: Shift + Command + 3 for a screenshot, Shift + Command + 4 for a partial screenshot, and Shift + Command + 5 for a timer screenshot.
Snipping Tool is installed by default with Windows, a very simple tool with few bells and whistles, easy to use and effective.
Greenshot is an open-source screen capture...

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Authors (1)

Marleen Meier

Marleen Meier is an accomplished analyst and author with a passion for statistics and data. By using traditional methodologies and approaches such as Machine Learning and AI, Marleen is dedicated to driving meaningful insights. Currently working as the APAC Data CoE Lead for ABN AMRO Clearing, Marleen is at the forefront of innovation and implementing data-driven strategies in a global financial environment. She has lived and worked in multiple countries, including Germany, the Netherlands, the USA, and Singapore, allowing her to bring a diverse and global perspective to her work. Through her writing and speaking engagements, she aims to empower individuals and organizations to unlock the full potential of their data assets.

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