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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

In the previous chapter, you performed some fundamental data transformations such as joins, filtering, and groups using Tableau Desktop. However, Tableau Desktop only performs basic data manipulation. It may not be able to handle raw unprocessed/unclean data, like data containing multiple entries, missing entries, or inconsistent formats. Now, you will learn about more advanced methods, better suited to these trickier scenarios.

Tableau Prep is a tool specifically designed to perform data transformation so we can use the data for our visualizations. It consists of advanced algorithms that help detect data inconsistencies and fix them. This can be done automatically as well as manually, depending on the requirements.

In this chapter, you will learn about the Prep interface, along with data operations like adding data sources, data profiling, and applying transformations such as cleaning, splitting, adding pivots, joining data sources, and applying unions. Finally...

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