First, graphs (including graph databases, graph data science, and graph visualizations) are largely untapped powerhouses in the field of data science. Graphs can enhance analysis, improve machine…

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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Graphs, including databases and visualizations, offer untapped potential in data science for enhancing analysis and machine learning. This tutorial uses a unique Scooby-Doo dataset to guide you in converting tabular data into a graph with Cypher, Neo4j's query language. It teaches creating a data model, writing Cypher queries to load data into Neo4j, and establishing relationships between nodes such as series, episodes, monsters, and main characters.

Turning Your Tabular Data Into a Graph Using Cypher

Step 1: Decide How to Structure Your Graph

Step 2: Create Cypher Queries to Load Your Graph