A non-fungible token (NFT) is a data unit stored on the blockchain. Nowadays, more and more investors and collectors (NFT traders), who participate in transactions of NFTs, have an urgent need to assess the performance of NFTs. However, there are two challenges for NFT traders when analyzing the performance of NFT. First, the current rarity models have flaws and are sometimes not convincing. In addition, NFT performance is dependent on multiple factors, such as images (high-dimensional data), history transactions (network), and market evolution (time series). It is difficult to take comprehensive consideration and analyze NFT performance efficiently. To address these challenges, we propose NFTVis, a visual analysis system that facilitates assessing individual NFT performance. A new NFT rarity model is proposed to quantify NFTs with images. Four well-coordinated views are designed to represent the various factors affecting the performance of the NFT. Finally, we evaluate the usefulness and effectiveness of our system using two case studies and user studies.

翻译：非同质化代币（NFT）是一种存储在区块链上的数据单元。如今，越来越多参与NFT交易的投资者和收藏者（NFT交易者）迫切需要评估NFT的表现。然而，NFT交易者在分析NFT表现时面临两个挑战。首先，当前的稀有性模型存在缺陷，有时难以令人信服。此外，NFT表现依赖于多种因素，如图像（高维数据）、历史交易记录（网络）以及市场演化（时间序列）。这使得难以全面考虑并高效分析NFT表现。为应对这些挑战，我们提出了NFTVis，一个用于协助评估单个NFT表现的可视化分析系统。我们提出了一种新的NFT稀有性模型，用于通过图像量化NFT。我们设计了四个协调的视图，以呈现影响NFT表现的各种因素。最后，我们通过两个案例研究和用户研究评估了系统的实用性和有效性。