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

Table Calculation Application: Addressing and Partitioning

In the previous section, you learned about quick table calculations. But did you notice that all these calculations were working at the row level? What if you need to apply calculations at the column level? This is where the concept of addressing and partitioning comes into play.

Addressing means defining the direction of the calculation. A calculation can compute horizontally or vertically, depending on the option selected. Partitioning can be defined as the scope of the calculation; for example, you can partition a view into various years for different categories, or various categories for the same year.

In this section, you will learn about the following methods to address and partition data:

  • Table(across)
  • Table(down)
  • Table(across then down)
  • Table(down then across)
  • Pane(down)
  • Pane(across then down)
  • Pane(down then across)
  • Cell
  • Specific Dimensions

You will continue...