Visual analysis of missing data — To see what isn't there
Visual analysis of missing data — To see what isn't there
复制标题
缺失数据的可视化分析——查看不存在的内容
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
R. Glen
中科院分区：
文献类型：
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作者：
Sara Johansson;R. Glen
缺失数据是数据集中不存在的记录。它们是本来要记录的数据，但由于某种原因没有记录。缺失值在数据分析中很常见，几乎出现在任何领域，导致结果有偏差和统计严谨性降低等问题。可视化分析具有巨大的潜力，可以为丢失数据的调查提供宝贵的支持。这张海报旨在强调分析缺失数据的重要性和所涉及的挑战，并强调该领域缺乏可视化支持，并通过此鼓励可视化科学家讨论和解决这个高度相关的问题。
Missing data are records that are absent from a data set. They are data that were intended to be recorded, but for some reason were not. Missing values are common in data analysis and occur in almost any domain, causing problems such as biased results and reduced statistical rigour. Visual analytics has great potential to provide invaluable support for the investigation of missing data. This poster aims to highlight the importance of analysing missing data and the challenges involved, as well as to emphasize the lack of visualization support in the area and through this encourage visualization scientists to discuss and address this highly relevant issue.