Dataviz Genesis

DataViz Genesis is a fully on-chain generative script that mints 555 unique, verifiable works celebrating the grammar of data visualization. The contract stores and executes 100% of the rendering logic and trait tables on the blockchain—no IPFS, no external servers. At mint, a deterministic seed (derived from tokenId and on-chain entropy) selects one of seven chart archetypes—Progress Bar, Gantt, Radar, Dot Plot, Multiline, Stream Graph, Treemap—then composes a center-aligned SVG on a black canv...

DataViz Genesis is a fully on-chain generative script that mints 555 unique, verifiable works celebrating the grammar of data visualization. The contract stores and executes 100% of the rendering logic and trait tables on the blockchain—no IPFS, no external servers. At mint, a deterministic seed (derived from tokenId and on-chain entropy) selects one of seven chart archetypes—Progress Bar, Gantt, Radar, Dot Plot, Multiline, Stream Graph, Treemap—then composes a center-aligned SVG on a black canvas with one of seven cyberpunk color schemes and seven on-chain texture patterns. A rarity engine encoded in the contract guarantees proper trait distribution and tiers from Common → Legendary, with higher tiers unlocking on-chain special effects (glow, scanlines, diffraction, motion hints) applied via SVG filters. The script draws every element—axes, paths, ticks, nodes, bars, and labels—directly from the seed, ensuring each token’s geometry is both aesthetic and auditable. Interactive viewing (autoplay, navigation, randomize-seed preview) is provided by a lightweight front end that reads only on-chain state; the canonical artwork and JSON metadata are generated and retrievable entirely on chain. As on-chain art, every token carries its content hash and provenance within the contract, making each piece permanently reproducible, censorship-resistant, and cryptographically authentic. DataViz Genesis turns the building blocks of modern analysis into cyberpunk artifacts—organized information, rendered forever on chain.