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本文以2010年河南省各地市市区社会经济主要指标统计数据为参考对象,选取了与三大产业、工业效益、教育医疗等相关的25个宏观经济指标进行研究,采用主分量分析进行特征压缩,通过含有绝大部分异变信息的少数几个主分量重构低维特征空间,并最终提取单一指标横向对比各地市的对外贸易发展。
Based on the statistical data of major socioeconomic indicators of urban areas in various cities of Henan Province in 2010, this paper selects 25 macroeconomic indicators related to the three major industries, industrial benefits, education and medical research, and performs feature compression using principal component analysis , Reconstructs the low-dimensional feature space through a few principal components that contain most of the alien information, and finally extracts a single indicator to compare horizontally the development of foreign trade in different cities.