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

Creating Maps in Tableau

Tableau provides two distinct map options in the Show Me menu—one for symbol maps and a second for choropleth maps. If your data has simple latitude/longitude values corresponding to a postal code centroid, such as a store location (or even a city), then your mapping will be focused on the symbol map option. If, however, your data has more detailed data based on a shapefile or GeoJSON data source, you can then use the choropleth option to create filled maps based on the polygons in the data source. In some cases, you will have access to both types of source data and will be able to create a dual-axis map, which will be explored later in this section. The following is a simple comparison of the two types, with choropleth (filled) on the left and symbol on the right:

Figure 6.32: A choropleth (filled) map and a symbol map

Geocoding

Geocoding is the process of assigning geographic attributes to a data field that may not be automatically...