This is the code repository for Tableau Prep Cookbook, published by Packt.
Use Tableau Prep to clean, combine, and transform your data for analysis
Tableau Prep is a tool in the Tableau software suite, created specifically to develop data pipelines. This book will describe, in detail, a variety of scenarios that you can apply in your environment for developing, publishing, and maintaining complex Extract, Transform and Load (ETL) data pipelines.
This book covers the following exciting features: <First 5 What you'll learn points>
- Perform data cleaning and preparation techniques for advanced data analysis
- Understand how to combine multiple disparate datasets
- Prepare data for different Business Intelligence (BI) tools
- Apply Tableau Prep’s calculation language to create powerful calculations
- Use Tableau Prep for ad hoc data analysis and data science flows
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
IF [Segment] = "Consumer" THEN TRUE ELSE FALSE END
Following is what you need for this book: This book is for business intelligence professionals, data analysts, and Tableau users looking to learn Tableau Prep essentials and create data pipelines or ETL processes using it. Beginner-level knowledge of data management will be beneficial to understand the concepts covered in this Tableau cookbook more effectively.
With the following software and hardware list you can run all code files present in the book (Chapter 1-10).
| Chapter | Software required | OS required |
|---|---|---|
| 1 - 9 | Tableau Prep Builder | Windows or Mac OS X |
| 1 - 9 | Python 3.8.7 | Windows or Mac OS X |
| 1 - 9 | R | Windows or Mac OS X |
| 1 - 9 | Rstudio | Windows or Mac OS X |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Hendrik Kleine is an advanced analytics leader with 15 years of experience in the analytics space, including in data architecture, engineering, and visualization. He specializes in translating vast amounts of data into easy-to-understand visual communications that provide actionable intelligence. He is an avid innovator and a listed author of multiple data-related inventions. Before COVID-19, he was a speaker at the most recent Tableau conference in San Francisco.
If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.