Visual analysis on macro quality data

论文题目 Visual analysis on macro quality data
作者 吴刚,赵超,丁文兴,张帆,赵静,王海涛
年度 2018
发表/出版时间 2018/7/21
发表期刊/会议 Joint Proceedings of the AHFE 2018 International Conference on Human Factors in Artificial
关键词 Data Visualization · Macro Quality Data · Data Analysis · Time Series Visualization
摘要 Quality inspection and quarantine processing is an important process with extensive business impacts. Data visualization methods failed to fully combine standards and certifications or accreditation. While inspection, quarantine and other quality related measures are hard to analyze due to the multi-factor dimension and therefore it is difficult to reflect the macro quality status. Thus, in order to integrate quality data from quality supervisory inspection and quarantine departments, this paper propose three visualization methods to analyze quality data, such as tree models and histogram visualization, map and histogram visualization, the models implement quality visualization system based on the methods above to realize the comprehensive analysis of macro quality data.