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Learn how to leverage graph visualization techniques to reveal hidden patterns and relationships in complex data through this 28-minute conference talk from OSACon. Dive into fundamental graph theory concepts including nodes, edges, and various graph types that form the foundation for effective data visualization. Explore popular open-source tools like NetworkX, PyVis, and Gephi while discovering their capabilities for creating interactive visualizations. Through real-world examples spanning social network analysis, fraud detection, recommendation systems, and knowledge graphs, master the practical applications of graph visualization across different domains. Gain essential best practices for designing impactful visualizations, including layout algorithms, styling techniques, interaction design principles, and scalability considerations. A hands-on demonstration showcases the step-by-step process of building graph visualizations using open-source tools.
