Data Density Heatmap Application

This project proposes a configuration-driven web application that visualizes data completeness across GraphQL datasets using an interactive heatmap. The system dynamically fetches data from GraphQL endpoints, normalizes hierarchical structures, computes attribute-level density metrics, and renders them as a scalable heatmap using D3.js. It enables researchers and data managers to quickly identify sparsity patterns and data quality issues. The project includes a working prototype, supports dynamic schemas, and focuses on performance, usability, and extensibility.