Welcome back to our series on graphs with Scooby Doo! Part 1 covered how to use Cypher code to turn your csv data into a graph. In Part 2 I described how you can take that Cypher code and incorporate…

The Neo4j Blog offers insights, tutorials, and updates on graph database technology and its applications in various industries. From graph data modeling to query optimization and graph analytics, the Neo4j Blog provides resources for developers, data scientists, and business analysts looking to leverage the power of graph databases to unlock new insights from their connected data.

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This post explores how to visualize graph data using Neo4j Bloom, particularly focusing on a Scooby Doo graph database. It covers the creation and formatting of graph visualizations, adding categories and relationships, and utilizing graph pattern searches and custom queries. Additionally, the post discusses how to filter, animate, and expand the graph to uncover deeper insights. Instructions for importing pre-built perspectives and employing custom scene actions are also included.

Visualizing Graph Data with Neo4j Bloom (ScoobyGraph, Part 3)

Creating and Formatting a Graph Visualization