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

Summary

That wraps up this chapter. In this lesson, you created your first charts in Tableau, starting with bar charts, which are used for comparisons across dimensions, followed by line charts to show comparisons over time. You also looked at how bullet charts and bar-in-bar charts differ and the best use cases for them when exploring comparisons across measures.

You further composed snapshots, working through three major chart types: stacked bar charts, pie charts, and treemaps. When exploring treemaps, instead of using a standard treemap, you added an extra layer by utilizing multiple measures where the primary measure, Sales, was used for the size of the rectangle and a secondary measure, Profit ratio, was used for profit/loss using two different colors. The different colors made it easier for stakeholders to identify profit-making states across superstore categories.

Although we did discuss line charts for time series data, we also decided to work through an area chart...