The text discusses loading and cleaning CSV files for a healthcare data project using Neo4j, a graph database. The author starts by displaying the characteristics of the data, including its size, structure, and content. They then remove the header from the file and load it into Neo4j, creating nodes with specific properties such as NPI, address, city, state, zip, country, and more. However, they encounter an issue with fields containing delimiters, which are replaced by a forward slash to resolve the problem. The author uses Python to load the CSV file again, utilizing periodic commits to prevent memory issues when loading large files. They successfully load the healthcare provider data into Neo4j, creating relationships between nodes and demonstrating how to link data in graph technology.