From Data to Graph VisualizationWebinar series — The Art of Graph Visualization
Episode 2: Getting started
Episode 2: Getting started
Welcome to the second episode of "The Art of Graph Visualization," presented by Dr. Benjamin Niedermann.
In this session, titled "Getting Started: From Data to Graph Visualization," discover how to work with your data to create impactful diagrams. Dr. Niedermann demonstrates how to visualize data using graphs by structuring your information, identifying the underlying graph structures, and creating effective visualizations based on real-world examples. This episode serves as a practical graph visualization tutorial and concludes with a Q&A session to address specific questions.
The webinar is presented by Dr. Benjamin Niedermann, a Senior Algorithm Engineer in the Layout Team at yWorks, sharing his expertise in graph algorithms and visualization methods.
Begin your graph visualization journey with yFiles
Whether you're new to "graph visualizations" or looking to improve your "data-driven diagrams," yFiles provides the ideal tools to help you succeed. Our free trial gives you access to advanced layout algorithms, powerful interaction techniques, and high-quality visualizations across platforms like Web, Java, and .NET.
Take advantage of our support during your trial to ensure you make the most of yFiles, whether you're just starting out or refining existing projects. yFiles gives you everything you need to transform your data into compelling visualizations.
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Watch the full webinar episode
Watch the full episode below to learn "How to visualize data using graphs" effectively. Dr. Benjamin Niedermann guides you through "Data visualization techniques," helping you understand your data structure, identify graph components, and create compelling visual representations. This session also showcases several free diagramming tools that can help you get started.

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 reasons to trust yFiles for advanced graph visualization!
Key topics covered in this webinar
- Understanding the problem setting for graph visualization
- Structuring data for effective graph representation
- Identifying the underlying graph structure
- Deploying graph visualizations using 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.
- 02:25 Understanding the Problem Setting: Analyzing the data and context for visualization.
- 06:56 Questions for the Database: Identifying key questions for data analysis.
- 10:10 Data Structuring: How the data is structured for visualization.
- 13:48 Graph Structure: Exploring the underlying graph structure.
- 44:10 Visualization Deployment: How to effectively deploy the graph visualization.
- 47:55 Conclusion: Summary of key takeaways.
- 50:45 Q&A Session: Dr. Benjamin Niedermann answers audience questions.
Ready to elevate your graph visualizations?
Try yFiles for freeAdditional 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.