Visualizing Graph Data - MEAP edition

**Summary** __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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. **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. **Table of Contents** PART 1 - GRAPH VISUALIZATION BASICS2. Getting to know graph visualization 3. Case studies 4. An introduction to Gephi and KeyLines PART 2 VISUALIZE YOUR OWN DATA6. Data modeling 7. How to build graph visualizations 8. Creating interactive visualizations 9. How to organize a chart 10. Big data: using graphs when there's too much data 11. Dynamic graphs: how to show data over time 12. Graphs on maps: the where of graph visualization One of the most powerful ways to understand data is to recognize the ways in which each datumperson, product, etcconnects 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. Youll begin by learning fundamental graph concepts and techniques used to visualize graph data. Next, youll drill down to learn how to create your own useful visualizations, as well as tools that are available to you. Youll 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 youll know to ask the right questions of your data to create powerful visualizations.