This visualization displays the Enron email network as an adjacency matrix, where each cell represents the correspondence between a sender and recipient. The data is pre-processed by grouping emails by sender and receiver, calculating the total number of emails exchanged and the average sentiment score. The implementation uses d3.v4’s `d3.csv` and `d3.nest` APIs, along with custom JavaScript to structure the data before rendering the matrix. The example is built with the React framework, reading from a CSV file containing email metadata such as date, job titles, and sentiment values.