Book Image

Mastering Tableau 2021 - Third Edition

By : Marleen Meier, David Baldwin
Book Image

Mastering Tableau 2021 - Third Edition

By: Marleen Meier, David Baldwin

Overview of this book

Tableau is one of the leading business intelligence (BI) tools that can help you solve data analysis challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you’ll be able to perform data preparation and handling easily. You’ll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Next, you’ll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You’ll also learn 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, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within it. By the end of this Tableau book, you’ll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain.
Table of Contents (18 chapters)
16
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17
Index

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 an 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 that can lead you to your goal.

We will cover the following...