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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
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3
Foreword by Sophie Sparkes
15
Index
16
End User License Agreement

Foreword by Nate Vogel

Tableau was founded with a simple mission: helping people to see and understand their data. More than 15 years later, we are pursuing that same goal. A data‐driven corporate culture is the key to successful digitization. Companies that involve as many employees as possible in data evaluation and promote analytical thinking are well‐positioned.

Tableau gives people the power of data. We've designed our software to be flexible and capable of both helping a single person answer simple data questions and enabling thousands of people in a company to execute complex queries against massive databases.

This includes the cross‐departmental use of data, because not only the amount of data, but also the number of data sources, is increasing—especially through the triumph of the cloud. This opens up completely new possibilities for analysis: With the help of professional solutions, information from different areas can be combined and integrated...

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Visual Analytics with Tableau
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