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

In this chapter, you learned how to connect to various data sources. After connecting to the data, you learned how to analyze it using data profiling. Then, you learned to clean the data using various methods, such as filtering, creating calculations, groups, and splits. Cleaning data is a prerequisite for effective data analysis, and you will be using these methods throughout the remainder of this book.

Once you cleaned the data, you looked at ways to group data using aggregation, and then learned to transform it with pivots. You also combined multiple data sources using the join and union options. Finally, you learned about how to save, share, and export your workflow and the data.

The key takeaway from this chapter is how to transform data efficiently based on the project requirements so that it becomes fit for visualization. In the next chapter, you will use the skills you have learned in this chapter, such as aggregation, joins, and groups, to create charts in Tableau...