Visualizing Graph Data (eBook)

SummaryVisualizing 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 TechnologyAssume 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 BookVisualizing 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 InsideTechniques for creating effective visualizationsExamples using the Gephi and KeyLines visualization packagesReal-world case studiesAbout the ReaderNo prior experience with graph data is required.About the AuthorCorey Lanum has decades of experience building visualization and analysis applications for companies and government agencies around the globe.Table of ContentsPART 1 - GRAPH VISUALIZATION BASICSGetting to know graph visualizationCase studiesAn introduction to Gephi and KeyLinesPART 2 VISUALIZE YOUR OWN DATAData modelingHow to build graph visualizationsCreating interactive visualizationsHow to organize a chartBig data: using graphs when there's too much dataDynamic graphs: how to show data over timeGraphs on maps: the where of graph visualization