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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

PYTHON, R, AND MATLAB INTEGRATION

As you have seen, the Analytics pane offers quick access to a handful of useful analytics tools. However, if you require deeper statistical analysis of your data to complement Tableau's visual analytics approach, it is often necessary to use one of the popular data science tools: Python, R, or MATLAB. Beginning with the 2013 version, it has been possible to use Tableau together with the programming language R, meaning you can add calculated fields with R scripts to the view to visualize the results of calculations run in R. In subsequent years, Python and MATLAB integrations were added to provide similar functionality with these two tools. As you can imagine, this opens up a world of advanced statistical analyses that can be performed with your data.

Tableau supports the integration of these three services:

R R is an open source programming language widely used in the scientific community because of its many packages for statistical analysis 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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