This beginner’s guide explains what makes graph data visualization useful – particularly when your data has many-to-many relationships that are hard to understand in tables. It covers how to model data as nodes and links, why interactivity (like query-and-expand, filtering, and grouping) matters, and how to use visual styling, analytics, and timelines to reveal patterns, highlight important entities, and avoid clutter. The goal is to help users explore connected data intuitively and uncover insights faster.
In this webinar you’ll learn how to:
- define and model a graph
- work with graph data
- follow graph data visualization best practice
Explore our graph, timeline, geospatial visualization resources
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