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The Tableau Workshop

The Tableau Workshop

By : Sumit Gupta, Sylvester Pinto, Shweta Savale, JC Gillet , Kenneth Michael Cherven
4.8 (32)
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The Tableau Workshop

The Tableau Workshop

4.8 (32)
By: Sumit Gupta, Sylvester Pinto, Shweta 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)
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Preface

Importing Spatial Data

Before you can use the many capabilities Tableau provides for geographic datasets, it is important to understand the geographic data types that Tableau can utilize. Tableau can ingest geospatial data from many popular formats, including shapefile, GeoJSON, and MapInfo sources. The next section will cover some of the most common spatial formats and how to add them to your workbooks.

Spatial data is unique in how it defines geographic attributes. While typical spreadsheet or database data may contain geographic elements (city, state, country, postal code, and so on), it will not contain additional information about those entities. Most often, you will have a pair of geographic coordinates to work with: latitude and longitude. For common entities such as a country, state, or province, mapping software will recognize the codes and allow the use of choropleth (filled) maps.

Choropleth maps are shapefiles/GeoJSON data sources that not only contain simple latitude...

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The Tableau Workshop
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