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Mastering Tableau 2023

You're reading from   Mastering Tableau 2023 Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781803233765
Length 684 pages
Edition 4th Edition
Languages
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Author (1):
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Marleen Meier Marleen Meier
Author Profile Icon Marleen Meier
Marleen Meier
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Table of Contents (19) Chapters Close

Preface 1. Reviewing the Basics 2. Getting Your Data Ready FREE CHAPTER 3. Using Tableau Prep Builder 4. Learning about Joins, Blends, and Data Structures 5. Introducing Table Calculations 6. Utilizing OData, Data Densification, Big Data, and Google BigQuery 7. Practicing Level of Detail Calculations 8. Going Beyond the Basics 9. Working with Maps 10. Presenting with Tableau 11. Designing Dashboards and Best Practices for Visualizations 12. Leveraging Advanced Analytics 13. Improving Performance 14. Exploring Tableau Server and Tableau Cloud 15. Integrating Programming Languages 16. Developing Data Governance Practices 17. Other Books You May Enjoy
18. Index

Connecting to data

If you are familiar with Tableau Desktop, Prep will be an easy game for you. The handling and interfaces are very similar, and connecting to data, if the connector is available in Prep, works the same whether it’s a text file, a database, or an extract. At first sight, you might not even notice a difference between Prep and the Tableau Desktop GUIs, which provides the handy advantage that you can start prepping right away.

To get started, begin by opening Prep and click on + to open a file. The following screen will appear:

Figure 3.1: Connecting to data

From the preceding screenshot, we can see that you can choose the type of data you want to connect to in the search bar. Just as in Tableau, the repertoire of Prep includes multiple databases.

Now let’s connect to a dataset with a practical exercise. For this exercise, we need the following dataset: https://www.kaggle.com/airbnb/boston. Please download calendar.csv, listings.csv...

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