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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

STRUCTURE

This book has 10 chapters that generally build on each other. The progression of chapters is intended to support you on a continuous learning curve. Chapter 1 starts with an overview that should also help novices get a good first impression of Tableau's capabilities.

Subsequent chapters go deeper into various aspects of the visual analytics process. Chapter 2 details how to find and connect to different data sources. Chapter 3 is in some regards the heart of the book: it provides hands‐on instructions for how to build assorted types of data visualizations in Tableau. I focus on the chart types that my customers and I have found most helpful in commonly encountered use cases.

Chapter 4 introduces calculated fields that allow you to add custom computations to the data. As mentioned, I have tried to make this topic accessible to as wide an audience as possible. Chapter 5 builds on Chapter 4 and covers the more‐advanced, but very useful, Table Calculations and...

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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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