November 2016
Beginner to intermediate
232 pages
7h 21m
English
Overview
Visualizing Graph Data teaches you not only how to build graph data structures, but also how to create your own dynamic and 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.
About the Technology
Assume you are doing a great job collecting data about your customers and products. Are you able to turn your rich data into important insight? Complex relationships in large data sets can be difficult to recognize. Visualizing these connections as graphs makes it possible to see the patterns, so you can find meaning in an otherwise over-whelming sea of facts.
About the Book
Visualizing Graph Data teaches you how to understand graph data, build graph data structures, and create meaningful visualizations. This engaging book gently introduces graph data visualization through fascinating examples and compelling case studies. You'll discover simple, but effective, techniques to model your data, handle big data, and depict temporal and spatial data. By the end, you'll have a conceptual foundation as well as the practical skills to explore your own data with confidence.
What's Inside
- Techniques for creating effective visualizations
- Examples using the Gephi and KeyLines visualization packages
- Real-world case studies
About the Reader
No prior experience with graph data is required.
About the Author
Corey Lanum has decades of experience building visualization and analysis applications for companies and government agencies around the globe.
Quotes
Shows you how to solve visualization problems and explore complex data sets. A pragmatic introduction.
- John D. Lewis, DDN
Excellent! Hands-on! Shows you how to kick-start your graph data visualization.
- Rocio Chongtay, University of Southern Denmark
A clear and concise guide to both graph theory and visualization.
- Jonathan Suever, PhD, Georgia Institute of Technology
Great coverage, with real-life business use cases.
- Sumit Pal, Big Data consultant
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