Graph Analysis and Layout for DevelopersWebinar series — The Art of Graph Visualization
Episode 6
Episode 6
Welcome to the sixth episode of "The Art of Graph Visualization," presented by Dr. Benjamin Niedermann.
In this session, titled "Graph Analysis and Layout for Developers," you'll explore programming examples and hands-on coding exercises focused on advanced graph visualization techniques. This webinar builds on concepts from 'The ABCs of Graph Styling,' offering practical insights for developers looking to integrate graph visualizations into their applications.
The session is presented by Dr. Benjamin Niedermann, a Senior Algorithm Engineer in the Layout Team at yWorks, sharing his expertise in graph algorithms and software development for visualization.
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Watch the full webinar episode
Watch the full episode below to learn advanced graph analysis and layout techniques for developers. Dr. Benjamin Niedermann guides you through coding exercises and programming examples to help you apply complex graph visualization methods effectively.
About yFiles: The graph visualization SDK
yFiles is your go-to SDK for crafting advanced graph visualizations, whether you're working with Web, Java, or .NET technologies. Its unmatched flexibility and scalability enable you to convert complex data into clear, actionable visuals, fitting for both enterprise and startup needs.
With yFiles, you're equipped for the future—supporting any data source while maintaining strong data security. Getting started is seamless, thanks to over 300 source-code demos, thorough documentation, and direct access to core developer support. These resources are available even during your free trial.
Backed by 25 years of graph drawing expertise, yFiles is trusted by top companies worldwide for their most critical visualization tasks.
Discover yFiles11 key benefits that make yFiles the go-to SDK!
Key topics covered in this webinar
- Advanced graph analysis techniques
- Hands-on coding exercises for graph visualization
- Implementing custom styles and layouts
- Using the yFiles Playground for practical examples
- Live Q&A session with yWorks graph visualization experts
Detailed breakdown of this episode
- 00:00 Introduction: Overview of the webinar series and episode objectives.
- 01:28 Tools for the Webinar: Introduction to the tools used in this session.
- 02:11 yFiles Playground: Exploring the yFiles Playground.
- 04:44 Running Example Discogs: Detailed analysis using Discogs data (Explore here).
- 08:33 Coding: Live coding demonstration.
- 10:00 Load Graph: Loading graph data (Explore here).
- 18:43 Analyze Graph: Analyzing graph structure (Explore here).
- 22:51 Modify Graph: Modifying graph properties (Explore here).
- 29:46 Configure Layout: Configuring the graph layout (Explore here).
- 33:20 Refine Layout: Refining the layout (Explore here).
- 41:35 Assemble Layout: Assembling the final layout (Explore here).
- 46:08 Conclusion: Summary of key takeaways.
- 47:02 Next and Previous Webinars: Preview of upcoming and review of previous webinars.
- 47:32 Q&A session: Dr. Benjamin Niedermann answers audience questions.
Playground programming examples
The yFiles Playground is an interactive platform where you can experiment with programming examples from our webinars, such as loading, analyzing, modifying, and configuring graph data, all directly in your browser. Designed for developers, the Playground provides practical experience with these examples, enabling you to apply yFiles concepts without needing any local installation.
Simplify complex data with advanced layouts!
Start your free trialAdditional episode resources
- Explore yFiles Demos: See practical examples of graph visualization in action.
- Learn more about yFiles: Discover more about the capabilities of yFiles.
- Evaluate yFiles for Free: Get hands-on with yFiles by evaluating it for free.
- yEd Live: Try this free online diagramming tool.
- Data Explorer for Neo4j: Explore graph databases with this tool.
- App Generator: Create custom graph applications.
- Python Diagrams: Generate diagrams using Python.
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