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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

View More author details

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

DASHBOARD ACTIONS

Dashboard actions enable the end user to intuitively explore the data and better understand the connections between the different charts. Actions can be set up to filter or highlight charts, to open web content, or even to send email notifications. Advanced users can use dashboard actions creatively to implement even the most sophisticated linkages between charts. This is especially true since set actions were added in version 2018.3.

Tableau distinguishes between the following types of dashboard actions:

Filter actions: Filter the target charts based on the selection in the source chart.
Highlight actions: Highlight marks according to the selection in the source chart.
URL actions: Open web content (and can be used to send email notifications) according to the selection in the source chart.
Set actions: Change the values within a manually defined subset of your data. (Sets and set actions are beyond the scope of this book.)
Go‐to‐sheet actions: Take the...

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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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