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Mastering Tableau 2021

You're reading from Mastering Tableau 2021 Implement advanced business intelligence techniques and analytics with Tableau

Product type Paperback

Published in May 2021

Publisher Packt

ISBN-13 9781800561649

Length 792 pages

Edition 3rd Edition

Languages

Python

Tools

Tableau

Concepts

Business Intelligence

Authors (2):

David Baldwin

Marleen Meier

View More author details

Table of Contents (18) Chapters

Preface

1. Getting Up to Speed – A Review of the Basics

2. All About Data – Getting Your Data Ready FREE CHAPTER

3. Tableau Prep Builder

4. All About Data – Joins, Blends, and Data Structures

5. Table Calculations

6. All About Data – Data Densification, Cubes, and Big Data

7. Level of Detail Calculations

8. Beyond the Basic Chart Types

9. Mapping

10. Tableau for Presentations

11. Visualization Best Practices and Dashboard Design

12. Advanced Analytics

13. Improving Performance

14. Interacting with Tableau Server/Online

15. Programming Tool Integration

16. Another Book You May Enjoy

17. Index

Integrating programming languages

How does integration empower Tableau? It happens through calculated fields. Tableau dynamically interfaces with Rserve or TabPy to pass values and receive results. And Tableau Prep Builder also has R and Python integration as we saw in Chapter 3, Tableau Prep Builder! So let's not waste any time and jump right in.

Basic Tableau-to-R and Tableau-to-Python integration is quite simple: The view shows data based on a calculated field, with the help of which Tableau pushes data to Rserve or TabPy respectively and then retrieves the results via a table calculation:

Figure 15.1: Tableau external services

Naturally, whether you are viewing a workbook on Tableau Desktop or via Tableau Server, if you wish to run R and Python calculations, then Rserve or TabPy must be accessible.

For a proper understanding of the integration, let's also look at the Tableau/R workflow as an example. Terms used in the following diagram...

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Authors (2)

Marleen Meier

Marleen Meier

Marleen Meier is an accomplished analyst and author with a passion for statistics and data. By using traditional methodologies and approaches such as Machine Learning and AI, Marleen is dedicated to driving meaningful insights. Currently working as the APAC Data CoE Lead for ABN AMRO Clearing, Marleen is at the forefront of innovation and implementing data-driven strategies in a global financial environment. She has lived and worked in multiple countries, including Germany, the Netherlands, the USA, and Singapore, allowing her to bring a diverse and global perspective to her work. Through her writing and speaking engagements, she aims to empower individuals and organizations to unlock the full potential of their data assets.

See other products by Marleen Meier

David Baldwin

David Baldwin

David Baldwin has been providing consulting in the business intelligence sector for 22 years. His experience includes Tableau training and consulting, developing BI solutions, project management, technical writing, and web and graphic design. His vertical experience includes financial, healthcare, human resources, aerospace, energy, education, government, and entertainment industries.

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