Book Image

Learning Tableau 2022 - Fifth Edition

By : Joshua N. Milligan
Book Image

Learning Tableau 2022 - Fifth Edition

By: Joshua N. Milligan

Overview of this book

Learning Tableau 2022 helps you get started with Tableau and data visualization, but it does more than just cover the basic principles. It helps you understand how to analyze and communicate data visually, and articulate data stories using advanced features. This new edition is updated with Tableau’s latest features, such as dashboard extensions, Explain Data, and integration with CRM Analytics (Einstein Analytics), which will help you harness the full potential of artificial intelligence (AI) and predictive modeling in Tableau. After an exploration of the core principles, this book will teach you how to use table and level of detail calculations to extend and alter default visualizations, build interactive dashboards, and master the art of telling stories with data. You’ll learn about visual statistical analytics and create different types of static and animated visualizations and dashboards for rich user experiences. We then move on to interlinking different data sources with Tableau’s Data Model capabilities, along with maps and geospatial visualization. You will further use Tableau Prep Builder’s ability to efficiently clean and structure data. By the end of this book, you will be proficient in implementing the powerful features of Tableau 2022 to improve the business intelligence insights you can extract from your data.
Table of Contents (20 chapters)
18
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19
Index

Overview of level of detail

What does the term level of detail mean? A lot depends on the context in which the term is used. Within Tableau, we’ll distinguish several levels of detail, each of which is vitally important to understand in order to properly analyze data:

  • Data level of detail: Sometimes referred to as the grain of the data, this is the level of detail defined by a single record of the data set. When you can articulate what one record of the data represents (for example, “Every record represents a single order” or “There is one record for every customer”), then you have a good understanding of the data level of detail. Row-level calculations operate at this level.
  • View level of detail: We’ve previously discussed that the combination of fields used as dimensions in the view defines the view level of detail. Normally in a view, Tableau draws a single mark for each distinct combination of values present in the data...