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Tableau 2019.x Cookbook

You're reading from  Tableau 2019.x Cookbook

Product type Book
Published in Jan 2019
Publisher Packt
ISBN-13 9781789533385
Pages 670 pages
Edition 1st Edition
Languages
Authors (5):
Dmitry Anoshin Dmitry Anoshin
Profile icon Dmitry Anoshin
Teodora Matic Teodora Matic
Profile icon Teodora Matic
Slaven Bogdanovic Slaven Bogdanovic
Profile icon Slaven Bogdanovic
Tania Lincoln Tania Lincoln
Profile icon Tania Lincoln
Dmitrii Shirokov Dmitrii Shirokov
Profile icon Dmitrii Shirokov
View More author details
Toc

Table of Contents (18) Chapters close

Preface 1. Getting Started with Tableau Software 2. Data Manipulation 3. Tableau Extracts 4. Tableau Desktop Advanced Calculations 5. Tableau Desktop Advanced Filtering 6. Building Dashboards 7. Telling a Story with Tableau 8. Tableau Visualization 9. Tableau Advanced Visualization 10. Tableau for Big Data 11. Forecasting with Tableau 12. Advanced Analytics with Tableau 13. Deploy Tableau Server 14. Tableau Troubleshooting 15. Preparing Data for Analysis with Tableau Prep 16. ETL Best Practices for Tableau 17. Other Books You May Enjoy

Data mining with tree-based models

Classification of cases in groups is one of the most important tasks in data mining and analytics. In the previous recipe, Clustering, we made clusters of similar cases based on measures by letting Tableau discover groups and patterns in the data. However, there are also situations where we already have a dimension labeling certain groups in our data, and we want to create a model that will predict group membership using other fields in our dataset. For this task, we can use a tree-based model. By the end of this chapter, you'll have built a decision tree using a classification algorithm, while retaining a focus on a real-life business question.

Getting ready

In this recipe, we&apos...

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