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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

Chapter 2
Adding Data Sources in Tableau

Often, data is not stored in just one file or database. Instead, it is frequently distributed across several databases, text files, Excel tables, or cloud services. By allowing connections to a variety of data types, Tableau makes it easy to analyze the data in such a scenario.

Tableau already supports over 50 different data connectors. You can analyze data not only from local files, including Excel, CSV, and PDF files, but also from relational databases, data cubes, Hadoop clusters, and data warehouses. Furthermore, Tableau allows access to data from cloud services such as Google Sheets, Google Analytics, Amazon Redshift, and Salesforce.

By the end of this chapter, you will be able to:

Create connections to files and databases.
Combine different data tables using joins and unions.
Change the metadata and data types in your data model.

The rest of the chapter is locked

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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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