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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

SAVING, OPENING, AND SHARING YOUR WORKBOOKS

Congratulations! If you have followed the previous steps, you have created your first data visualization in Tableau Desktop. Now it is time to save your work, and—if so desired—to share it with others. How to make your work available to various audiences via the different Tableau platforms (Tableau Online, Tableau Server, and Tableau Public) will be covered in Chapter 9. For now, you will save the file locally.

Saving Workbooks

Open the File menu, and click Save As. There are two different file types to choose from in the dialog box that opens:

Tableau Workbook (*.twb) Tableau workbooks contain all the visualizations as well as the metadata. They do not, however, contain the actual data. When you share a Tableau workbook, the recipient will need to have access to the original file or database that you used.

Tableau Packaged Workbook (*.twbx) A Tableau packaged workbook, on the other hand, contains the actual data in addition to...

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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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