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Visual Analytics with Tableau

Visual Analytics with Tableau

By : Alexander Loth
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Visual Analytics with Tableau

Visual Analytics with Tableau

By: Alexander Loth

Overview of this book

Tableau is a popular data visualization tool that’s easy for individual desktop use as well as enterprise. Used by financial analysts, marketers, statisticians, business and sales leadership, and many other job roles to present data visually for easy understanding, it’s no surprise that Tableau is an essential tool in our data-driven economy. Visual Analytics with Tableau is a complete journey in Tableau visualization for a non-technical business user. You can start from zero, connect your first data, and get right into creating and publishing awesome visualizations and insightful dashboards. The book starts with an overview of Tableau, enabling you to grasp the tool’s capabilities and functions. Next, you’ll build assorted types of data visualizations in Tableau, and learn how to perform table calculations in detail. Moving ahead, you’ll work with maps, forecasts, clusters, trend lines, and learn to integrate R, Python, and MATLAB for more advanced statistical modeling. Towards the end, you’ll create interactive dashboards and share your work with others on Tableau Server, Tableau Online, and Tableau Public.
Table of Contents (16 chapters)
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1
Cover
2
Foreword by Nate Vogel
3
Foreword by Sophie Sparkes
15
Index
16
End User License Agreement

Chapter 3
Creating Data Visualizations

A picture is worth a thousand words.

But what exactly do you want to say with the chart you create? Keep this question in mind when you start your journey into the world of data visualization with Tableau. Useful charts are charts that have a clear purpose: they convey a message, answer questions, or provoke new questions and discussions.

There are many different ways to visually present your data in Tableau. And these graphical representations of your data can be further customized in many ways. This means, if you desire, you can create data visualizations that go beyond the standard charts you are familiar with from using other business tools. A little more diversity can also help you gain the attention of your audience and spark interest in your data, alongside the story you want to tell with it.

By the end of this chapter, you will be able to:

  • Choose between simple chart types, including bar charts, scatter plots, and line charts.
  • Answer comprehensive...
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Visual Analytics with Tableau
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