You're reading from Data Modeling with Tableau

Product type Book

Published in Dec 2022

Publisher Packt

ISBN-13 9781803248028

Pages 356 pages

Edition 1st Edition

Languages

Concepts

Data Analysis

Author (1):

Kirk Munroe

Table of Contents (22) Chapters

Preface

1. Part 1: Data Modeling on the Tableau Platform

2. Chapter 1: Introducing Data Modeling in Tableau

3. Chapter 2: Licensing Considerations and Types of Data Models

4. Part 2: Tableau Prep Builder for Data Modeling

5. Chapter 3: Data Preparation with Tableau Prep Builder

6. Chapter 4: Data Modeling Functions with Tableau Prep Builder

7. Chapter 5: Advanced Modeling Functions in Tableau Prep Builder

8. Chapter 6: Data Output from Tableau Prep Builder

9. Part 3: Tableau Desktop for Data Modeling

10. Chapter 7: Connecting to Data in Tableau Desktop

11. Chapter 8: Building Data Models Using Relationships

12. Chapter 9: Building Data Models at the Physical Level

13. Chapter 10: Sharing and Extending Tableau Data Models

14. Part 4: Data Modeling with Tableau Server and Online

15. Chapter 11: Securing Data

16. Chapter 12: Data Modeling Considerations for Ask Data and Explain Data

17. Chapter 13: Data Management with Tableau Prep Conductor

18. Chapter 14: Scheduling Extract Refreshes

19. Chapter 15: Data Modeling Strategies by Audience and Use Case

20. Index

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21. Other Books You May Enjoy

Technical requirements

For the complete list of requirements to run the practical examples in this chapter, please see the Technical requirements section in Chapter 1.

All the exercises and images in this chapter will be described using the Tableau Desktop client software except where noted. You can also recreate all the exercises in this chapter using the Tableau web client, which has a very similar experience to the Desktop client.

To run the exercises in this chapter, we will need the following downloaded files:

Superstore Sales Orders - US.xlsx
Product Database.xlsx
Sales Argentina.csv
Bicycle_Thefts.csv
toronto_crs84.geojson

The files we will be using are based on Superstore data, the sample data that Tableau uses in its products. The exception will be the bicycle thefts and Toronto neighborhood shapefiles. These files came from https://data.torontopolice.on.ca/ and https://www.toronto.ca/city-government/data-research-maps/open-data/ respectively...