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 readers not only how to build graph

data structures, but also how to create their own dynamic, interactive

visualizations using a variety of tools. This book is loaded with

fascinating examples and case studies to show the real-world value of

graph visualizations. It begins by teaching fundamental graph concepts

and techniques used to visualize graph data. Next, readers drill down to

learn how to create their own useful visualizations, as well as

additional tools. Readers also learn how to model data, create the best

graphs for their particular audience, handle big data, and depict

temporal and spatial data. By the end of this book, readers know to ask

the right questions of data to create powerful visualizations.



Key Features:



* Real-world case studies