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Visualizing Graph Data

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One of the most powerful ways to understand data is to recognize the ways in which each datum—person, product, etc—connects to another. Visualizing these graphs makes it possible to literally see the connections. The graph model consists of data elements, called nodes, and edges, which are the relationships between these nodes. Graphs make the relationships between the data elements a core part of the data structure, which means you can better comprehend the meaning of your data. And visual data is easier for everyone to understand.

Visualizing Graph Data teaches you not only how to build graph data structures, but also how to create your own dynamic, interactive visualizations using a variety of tools. This book is loaded with fascinating examples and case studies to show you the real-world value of graph visualizations. You’ll begin by learning fundamental graph concepts and techniques used to visualize graph data. Next, you’ll drill down to learn how to create your own useful visualizations, as well as tools that are available to you. You’ll also learn how to model your data, create the best graphs for your particular audience, handle big data, and depict temporal and spatial data. By the end of this book you’ll know to ask the right questions of your data to create powerful visualizations.

275 pages, ebook

Published September 1, 2015

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Displaying 1 - 2 of 2 reviews
Profile Image for Gábor Hajba.
139 reviews3 followers
December 21, 2016
Great introduction on visualizing graph data with different tools: Gephi and KeyLines.

If you read this book you will get the basics to get you started with building your own visual representations of information.

I have felt that the author is really biased towards KeyLines, developed by his employer.
Profile Image for M.J. Prest.
Author 1 book19 followers
November 25, 2016
This book features superb real-life case studies of how this technology is being used across a variety of industries. I had only a cursory knowledge of graph visualization and came away with a better understanding of how necessary it is in the age of Big Data.
Displaying 1 - 2 of 2 reviews

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