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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

Managing Location Data

The key to producing maps and other meaningful geographic analyses is to have the necessary location elements (country, state, city, and so on) and to make sure they are classified correctly in Tableau. In many instances, Tableau will correctly identify these roles, making your job simple. In other cases, you will need to tell Tableau the correct role. This is often the case when your source field names do not correspond to the standard naming conventions used by Tableau. There may also be cases where Tableau incorrectly assumes that a non-geographic field represents location data based on the field name of the dimension, or where a value cannot be automatically identified.

This section will explore the various ways in which geographic data can be created and maintained in Tableau using three primary approaches—assigning roles, editing locations, and building custom geographic levels.

Assigning Geographic Roles

Tableau is quite adept at interpreting...

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