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Last edited May 17, 2021

Created on May 17, 2021

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.

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A bare minimum HTML page demonstrating use of CSS and JavaScript.

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