Book Image

The Tableau Workshop

By : Sumit Gupta, Sylvester Pinto, Shweta Sankhe-Savale, JC Gillet, Kenneth Michael Cherven
Book Image

The Tableau Workshop

By: Sumit Gupta, Sylvester Pinto, Shweta Sankhe-Savale, JC Gillet, Kenneth Michael Cherven

Overview of this book

Learning Tableau has never been easier, thanks to this practical introduction to storytelling with data. The Tableau Workshop breaks down the analytical process into five steps: data preparation, data exploration, data analysis, interactivity, and distribution of dashboards. Each stage is addressed with a clear walkthrough of the key tools and techniques you'll need, as well as engaging real-world examples, meaningful data, and practical exercises to give you valuable hands-on experience. As you work through the book, you'll learn Tableau step by step, studying how to clean, shape, and combine data, as well as how to choose the most suitable charts for any given scenario. You'll load data from various sources and formats, perform data engineering to create new data that delivers deeper insights, and create interactive dashboards that engage end-users. All concepts are introduced with clear, simple explanations and demonstrated through realistic example scenarios. You'll simulate real-world data science projects with use cases such as traffic violations, urban populations, coffee store sales, and air travel delays. By the end of this Tableau book, you'll have the skills and knowledge to confidently present analytical results and make data-driven decisions.
Table of Contents (12 chapters)
Preface

Relationship and Distribution with Multiple Measures

In this part of the chapter, you will explore how to best represent two measures in the same view and how these charts can help build the relationship between two or more measures. You will initially look at scatter plots. Once you cover the distribution part of these multiple-measure charts, you will move on to the relationship between these measures by discussing dual axis charts and their uses.

Distribution with Two Measures

Scatter plots are two-dimensional graphs created with two to four measures and zero or more dimensions. The first two measures are used as the x and y axis, and the third and fourth measures, as well as the dimensions, are used for adding more formatting and context to the scatter marks.

Scatter plots are useful when plotting two quantifiable measures against one and other. This could be Sales versus Profit or Quantity versus Discount, for example. Scatter plots also help find patterns or clusters...