Book Image

The Tableau Workshop

By : Sumit Gupta, Sylvester Pinto, Shweta Sankhe-Savale, JC Gillet, Kenneth Michael Cherven
Book Image

The Tableau Workshop

By: Sumit Gupta, Sylvester Pinto, Shweta Sankhe-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)
Preface

Importing Non-Spatial Geographic Data Sources

Many geographic data sources are not specifically spatial sources but are instead found in spreadsheet or database formats as part of a larger dataset. These datasets will typically contain non-geographic data, such as customer information, time-period details, and assorted metrics. Geographic features such as country, state, and city will often also be included, making it possible to create maps displaying many data attributes.

Tableau makes it easy to create maps from these sources, although you may need to assist in the process, as you'll see shortly. Since many Tableau data sources will not reside in spatial formats, it is essential to make sure you can use general data sources to display geographic information at the appropriate level of detail.

Importing these sources is no different than the process for any general type of Tableau data. The only difference here is that you require one or more geographic fields to...