Book Image

Learning Tableau 2020 - Fourth Edition

By : Joshua N. Milligan
Book Image

Learning Tableau 2020 - Fourth Edition

By: Joshua N. Milligan

Overview of this book

Learning Tableau strengthens your command on Tableau fundamentals and builds on advanced topics. The book starts by taking you through foundational principles of Tableau. We then demonstrate various types of connections and how to work with metadata. We teach you to use a wide variety of visualizations to analyze and communicate the data, and introduce you to calculations and parameters. We then take an in-depth look at level of detail (LOD) expressions and use them to solve complex data challenges. Up next, we show table calculations, how to extend and alter default visualizations, build an interactive dashboard, and master the art of telling stories with data. This Tableau book will introduce you to visual statistical analytics capabilities, create different types of visualizations and dynamic dashboards for rich user experiences. We then move on to maps and geospatial visualization, and the new Data Model capabilities introduced in Tableau 2020.2. You will further use Tableau Prep’s ability to clean and structure data and share the stories contained in your data. By the end of this book, you will be proficient in implementing the powerful features of Tableau 2020 for decision-making.
Table of Contents (19 chapters)
Visual Analytics – Trends, Clustering, Distributions, and Forecasting
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Using geospatial data

We've seen that with any data source, Tableau supplies Latitude (generated) and Longitude (generated) fields based on any fields it matches with its internal geographic database. Fields such as country, state, zip code, MSA, and congressional district are contained in Tableau's internal geography. As Tableau continues to add geographic capabilities, you'll want to consult the documentation to determine specifics on what the internal database contains.

However, you can also leverage specific geospatial data in your visualizations. We'll consider ways to use data that enable geospatial visualizations, including the following:

  • Including Latitude and Longitude as values in your data.
  • Importing a .csv file containing definitions of Latitude and Longitude into Tableau's database.
  • Leveraging Tableau's ability to connect to various spatial files or databases that natively support spatial objects.