Book Image

Mastering Tableau 2023 - Fourth Edition

By : Marleen Meier
Book Image

Mastering Tableau 2023 - Fourth Edition

By: Marleen Meier

Overview of this book

This edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added. Throughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. Later chapters will teach you all about improving dashboard performance, connecting to Tableau Server, and understanding data visualization with examples. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau. By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.
Table of Contents (19 chapters)
17
Other Books You May Enjoy
18
Index

Leveraging Advanced Analytics

This chapter focuses on advanced self-service analytics. Self-service analytics can be seen as a form of business intelligence, where people in a business are encouraged to execute queries on datasets themselves, instead of placing requests for queries in a backlog with their IT team. Then, query analysis can be done, which should lead to more insights and data-driven decision-making. But how do you start creating useful self-service dashboards if it’s your first time doing so? How do you go from a dataset to a product? Have you ever asked yourself how other people start working on a dashboard, how they clean data, and how they come up with a dashboard design? If so, this is the right chapter for you! I want to share three use cases with you, written as a train of thought in order to give you an idea about how I work. Please note that this is just my personal experience; there are many different ways to reach your goal.

We will cover the following...