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Tableau 2019.x Cookbook

You're reading from   Tableau 2019.x Cookbook Over 115 recipes to build end-to-end analytical solutions using Tableau

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789533385
Length 670 pages
Edition 1st Edition
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Authors (6):
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Tania Lincoln Tania Lincoln
Author Profile Icon Tania Lincoln
Tania Lincoln
Slaven Bogdanovic Slaven Bogdanovic
Author Profile Icon Slaven Bogdanovic
Slaven Bogdanovic
Teodora Matic Teodora Matic
Author Profile Icon Teodora Matic
Teodora Matic
Rintaro Sugimura Rintaro Sugimura
Author Profile Icon Rintaro Sugimura
Rintaro Sugimura
Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
Dmitrii Shirokov Dmitrii Shirokov
Author Profile Icon Dmitrii Shirokov
Dmitrii Shirokov
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Table of Contents (18) Chapters Close

Preface 1. Getting Started with Tableau Software 2. Data Manipulation FREE CHAPTER 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

Using polygons for analytics

In the previous recipe, Using custom geocoding, we have imported and used custom geocoding to map Serbian provincial centers. In this recipe, we will go a step further and map the region's borders in order to create a filled map. We will achieve this by using polygon mapping.

Getting ready

In this recipe, we will use two datasets: Serbia_Provinces_Features.csv and Serbia_Provinces_Points.csv. The Serbia_Provinces_Features.csv dataset contains data on Serbian provinces' populations, while Serbia_Provinces_Points.csv contains coordinates for mapping. Open them both, and make sure they are joined by ID. Double-click on the set intersection symbol to make sure the datasets are joined by ID...

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