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Visual Analytics with Tableau

You're reading from Visual Analytics with Tableau A four-color journey through a complete Tableau visualization

Product type Paperback

Published in May 2017

Publisher Wiley

ISBN-13 9781119560203

Length 288 pages

Edition 1st Edition

Tools

Tableau

Concepts

Data Visualization

Author (1):

Alexander Loth

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Table of Contents (16) Chapters

1. Cover FREE CHAPTER

2. Foreword by Nate Vogel

3. Foreword by Sophie Sparkes

4. Introduction

5. Chapter 1: Introduction and Getting Started with Tableau

6. Chapter 2: Adding Data Sources in Tableau

7. Chapter 3: Creating Data Visualizations

8. Chapter 4: Aggregate Functions, Calculated Fields, and Parameters

9. Chapter 5: Table Calculations and Level of Detail Calculations

10. Chapter 6: Maps

11. Chapter 7: Advanced Analytics: Trends, Forecasts, Clusters, and other Statistical Tools

12. Chapter 8: Interactive Dashboards

13. Chapter 9: Sharing Insights with Colleagues and the World

14. Chapter 10: Data Preparation with Tableau Prep

15. Index

16. End User License Agreement

TABLEAU PUBLIC

As mentioned in Chapter 8, the Tableau Public gallery is a wonderful source for inspiration. But it can also be a very useful publishing tool, when the goal is to share a Tableau visualization with the wider world. To use this tool, you must have an account on the platform, which can be set up free of charge. Note that this is a separate account from your Tableau Online, Tableau Server, or tableau.com account.

Keep in mind that, as the name suggests, anything you publish to Tableau Public will be seen by the general public. So, ensure that you are not publishing proprietary or sensitive information. The vast majority of use cases in an organization of course do not pass that test. For those, Tableau Online and Tableau Server are the tools to use. But there are cases where organizations deliberately use Tableau Public to share interesting insights from non‐sensitive data sources (such as public opinion surveys) with the world.

Publishing to Tableau Public

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Authors (1)

Alexander Loth

Alexander Loth

Alexander Loth is a data scientist with over 10 years' experience in the enterprise software space, focused primarily on digital transformation, big data, machine learning, and business analytics. Since 2015 he has been with Tableau Software as digital strategist in Frankfurt, Germany where he guides organizations to evolve their data-driven culture. Prior to Tableau, Alexander was a data scientist at CERN and worked as a consultant for Capgemini and in software engineering at SAP.

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