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The Tableau Workshop

The Tableau Workshop

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

The Tableau Workshop

4.8 (32)
By: Sumit Gupta, Sylvester Pinto, Shweta 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)
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Preface

Summary

In this chapter, you learned about the different types of LOD calculations. You learned how LOD calculations are executed internally, and saw how different components used in the view, such as filters, are executed, and how these affect the LOD calculation output.

The key benefit of LOD calculations is that they allow you to control aggregation levels in data without adding or removing components in the view. This can help identify trends at different levels of granularity within your dataset.

LOD calculations greatly enhance data analysis, and allow analysts to control the granularity of analysis or visualization. In the next chapter, you will combine all you have learned so far, and will begin to create storyboards and dashboards in Tableau.

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The Tableau Workshop
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