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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

Introduction

Typically, the first step when analyzing data is to start with some questions or goals. It could be as simple as determining your most profitable customers, or more complicated, such as investigating which products are leading to losses despite high sales. After deciding on questions or goals, you would audit your data. This means identifying where data resides—whether the required fields are stored in a single or in multiple data sources and whether all fields are readily available for use. Then, you would check the integrity and validity of your data. This means checking whether the data needs any modifications in terms of cleaning, combining, or restructuring.

Once data is audited, the tools in Tableau Desktop allow you to explore it visually for more streamlined analysis. This can mean building charts, adding interactivity, separating data into groups, or creating calculations to derive more meaningful insights. Once analysis is complete, the insights you...

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