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The Tableau Workshop

The Tableau Workshop

By : Sumit Gupta, Pinto, Shweta Savale, JC Gillet , Cherven
4.8 (32)
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The Tableau Workshop

The Tableau Workshop

4.8 (32)
By: Sumit Gupta, Pinto, Shweta Savale, JC Gillet , 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)
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Preface

Summary

In this chapter, you learned how to connect to various data sources, which is the foremost step in data analysis in Tableau. Next, you learned about the various join options that Tableau provides and data transformation options to optimize the data for the final visualization. Joining tables is one of the most common requirements in practical data analysis. For instance, if you have two tables for employee details and department details, to find the number of employees per department, you would use a join key to get the required information.

You also learned about some advanced data joining options of blending and custom SQL. The key takeaway from this chapter is how to connect data most efficiently based on the requirements and also how to transform the data so that it becomes more suitable for the visualization activity. The next chapter continues with the topic of data preparation in Tableau Prep.

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