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

Creating Calculations across Data Sources

In earlier sections of this chapter, you have seen how to create and use calculations, but all these calculations were done within the same data source. Having all your data in one source would be an idealistic scenario; however, that may not always be the case, and you may have to deal with data coming from multiple sources. This means you may have to compute calculations across data sources, too.

In this section, you will focus on how to create calculations across data sources using data blending. You will also look at how to create and use calculated fields to join data. You have already seen the data blending and join functionality in previous chapters, and you will use that knowledge to create and use calculations across data sources.

You will use the Modified CoffeeChain data along with Budget Sales for CofeeChain.xlsx. These can be downloaded at the following links: