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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

THE TABLEAU APPLICATION SUITE

Some readers may have bought this book because they already have one or more Tableau products installed on their machine and would like to jump right in and learn how to use them. But for those who are not so familiar with the different Tableau products, here is a quick overview:

Tableau Desktop Tableau Desktop is an application for Windows and Mac, appreciated by both analysts and business users. In Tableau Desktop, you can connect to flat files (such as Excel and CSV files) and save your workbooks to your local hard drive. To tap into an organization's IT infrastructure, you can also use Tableau Desktop to connect to a host of different database solutions, and you can share your workbooks via Tableau Server or the cloud‐based Tableau Online.

Tableau Prep Tableau Prep is the latest addition to the Tableau product suite and is designed to help you prepare your data before you analyze it in Tableau Desktop. The visual interface allows you to quickly...

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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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