This article introduces twenty data visualization tools—including Excel, CSV/JSON, Google Chart API, Flot, Raphael, D3, Visual.ly, Crossfilter, Tangle, various map libraries, Processing, NodeBox, R, Weka, and Gephi—explaining their features, use cases, and suitability for different skill levels and project requirements.
This article introduces relationship graph visualization, compares common front‑end chart libraries such as ECharts, D3, and G6, explains why D3 and G6 were chosen for a real‑world case, and discusses performance‑related optimizations and layout improvements for large‑scale graph data.
This article explains how to use D3's treemap layouts—including binary, dice, slice, slice‑dice, squarify, and resquarify—to create a dynamic, stable grid animation for a voting H5 activity, covering algorithm stability, data offset handling, and visual transition techniques.
The article explains how Airbnb’s visx library, built on React and D3 primitives, addresses the need for a lightweight, highly expressive, and performant front‑end visualization solution by offering modular packages, TypeScript safety, and seamless integration with existing React codebases.
