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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

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Product type Paperback
Published in May 2017
Publisher Wiley
ISBN-13 9781119560203
Length 288 pages
Edition 1st Edition
Tools
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Author (1):
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Alexander Loth Alexander Loth
Author Profile Icon Alexander Loth
Alexander Loth
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Table of Contents (16) Chapters Close

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 SAMPLE DATASET

In the previous section, you saw what requirements a dataset should meet so that you can easily use it in Tableau. From here on, I will be using a sample dataset that can be found in the Documents directory in Tableau. It is already in the correct format and contains the sales numbers of a fictitious company called Superstore. The dataset has the following file name: Sample ‐ Superstore.xls.

Finding the Dataset

The file location can vary depending on the installed version of Tableau, the operating system, and your language settings. On my Windows 10 machine, for instance, it is

C:\Users\<User name>\Documents\My Tableau Repository\Datasources\2019.1\en_US-EU 

In Windows Explorer, it looks like Figure 1.4.

Screenshot of folder with the sample dataset in Windows Explorer.

Figure 1.4 Folder with the sample dataset in Windows Explorer.

Understanding the Data

Taking a brief...

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