From Nodes to Rows: A Guide to Querying Neo4j Graph Database in Pandas/SQL Style Using Cypher` is a guide that explains how to perform data analysis using pandas and SQL, but instead of working directly with the relational database, it uses Cypher queries on a graph database like Neo4j. The author highlights the benefits of using Cypher for querying graph data, such as easier joins and flexible pattern matching. While some queries may be more verbose in Cypher compared to their equivalent pandas or SQL code, many times they are indeed simpler. The guide provides examples of how to perform common analysis operations like filtering, grouping, and aggregating data, and demonstrates the use of Cypher for tasks such as concatenating data and performing subqueries. Overall, the guide aims to show that Cypher queries can be used to analyze graph data in a pandas or SQL style, making it easier for users to work with their data without sacrificing the benefits of using a graph database.