A collection of about 30K images that represents figures and tables from each track of the IEEE Visualization conference series (Vis, SciVis, InfoVis, VAST).
These data were used to create figures for my master's thesis submitted to Texas A&M University, as well as for the figures used in the manuscript submitted to the journal "Water".
ChartComplete是由贝鲁特美国大学构建的综合性图表数据集，涵盖30种图表类型，旨在解决现有基准数据集图表类型单一的问题。该数据集包含1500张高质量图像，其中63.4%为人工收集，36.6%通过自动化爬取获得，数据来源包括Statista和Our World in Data等权威平台。数据集基于改进的Borkin图表分类法构建，采用半自动化的采集流程，并经过严格的图像质量筛选。其应用领域
