Visual Cypher: Presenting Tools That Create, Visualize and Parse Cypher

Eric Monk, a Neo4j consultant, presents a tool he's been working on that helps users create, visualize and parse Cypher. The first step in building any graph is to start with a question, which leads to business concepts, data import, and query building. Understanding tools like Arrows, db.schema, Neo4j ET, Bloom, and LOAD CSV is crucial for graphing success. Cypher plays a vital role in graph building and analysis, allowing users to construct analysis queries and visualize their data models. The tool allows consultants like Monk to see what customers are trying to do without touching the graph, making it easier to analyze and provide feedback. Eric uses the Hero's Journey example to demonstrate how visualization helps determine if Cypher is working correctly and identifies potential errors. He also showcases examples from NASA and the Tour de France, highlighting the tool's ability to parse and visualize complex Cypher queries. The presentation concludes that visualization is essential for understanding Cypher at a glance, finding graph disconnects, improving communication among team members, and seeing the context of queries and subgraphs within data models.