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)
9
Visual Analytics – Trends, Clustering, Distributions, and Forecasting
17
Other Books You May Enjoy
18
Index

Forecasting

As we've seen, trend models make predictions. Given a good model, you expect additional data to follow the trend. When the trend is over time, you can get some idea of where future values may fall. However, predicting future values often requires a different type of model. Factors such as seasonality can make a difference not predicted by a trend alone. Tableau includes built-in forecasting models that can be used to predict and visualize future values.

To use forecasting, you'll need a view that includes a date field or enough date parts for Tableau to reconstruct a date (for example, a Year and a Month field). Tableau also allows forecasting based on integers instead of dates. You may drag and drop a forecast from the Analytics pane, select Analytics | Forecast | Show Forecast from the menu, or right-click on the view's pane and select the option from the context menu.

Here, for example, is the view of the population growth over time of Afghanistan...