Visualizing Graph Data

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.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Table of Contents

Chapter 1: Introduction to Graph Visualization
Chapter 2: Case Studies in Graph Visualization
Chapter 3: An Introduction to Gephi and KeyLines
Chapter 4: Data Modeling
Chapter 5: Engage Your Audience: How To Build Graph Visualizations
Chapter 6: Creating Interactive Visualizations
Chapter 7: Graph Layouts: How to Organize a Chart
Chapter 8: Big Data: Using Graphs When There is Too Much Data
Chapter 9: Dynamic Graphs: How to Show Data Over Time
Chapter 10: Graphs on Maps: The Where of Graph Visualization