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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

DATA PREPARATION

Before starting any analysis, one of the key issues to consider is whether the data is in the right format.

Datasets can be structured in different ways. In most cases, datasets have one of two shapes:

  • Wide tables, with many columns. Often these are summary tables containing aggregated measures (such as pivot tables in Excel). Here, some preprocessing of the data may be necessary.
  • Long tables, most of the time without aggregations and with each row containing one data point.

Crosstab Reports with Wide Tables

A common mistake made by new Tableau users is attempting to connect to a fully formatted Excel report that already shows data aggregations (see Figure 1.2). Fair enough, since the claim is that you can use Tableau to visualize all sorts of data. But you will quickly realize that this won't get you very far, because you won't be able to create many different types of visualizations.

Screenshot of formatted and aggregated report showing averages across several data points, with data of temperature measurements for the places Seattle and New York for the months April, May, and June during different time period.

Figure 1.2 Formatted and aggregated report showing averages across several...

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