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| 基于SPSS的我国各省市自治区经济发展状况分析 | |
| 引用本文： | 陈龙,陈婷,袁莹静,周芷仪,谢鹏辉. 基于SPSS的我国各省市自治区经济发展状况分析[J]. 软件, 2019, 0(2): 121-128 |
| 作者姓名： | 陈龙 陈婷 袁莹静 周芷仪 谢鹏辉 |
| 作者单位： | 1.昆明理工大学机电工程学院 |
| 摘 要： | 本文运用2016年我国31个省市自治区的农林牧渔业,工业,建筑业,批发和零售业,交通运输、仓储和邮政业,住宿和餐饮业,金融业,房地产业,其它等方面统计的各产值的样本数据,采用聚类分析、主成分分析和因子分析的方法,通过SPSS软件输出结果进行分析,对我国31个省市自治区进行分类排名,进而可以了解到我国各个省市自治区现阶段的经济发展状况,并可以根据相关结果对于不同地区的发展提供理论指导。 |
| 关 键 词： | 经济发展 聚类分析 主成分分析 因子分析 SPSS软件 |
Analysis on the Economic Development of Provinces and Autonomous Regions in China Based on SPSS |
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| CHEN Long,CHEN Ting,YUAN Ying-jing,ZHOU Zhi-yi,XIE Peng-hui. Analysis on the Economic Development of Provinces and Autonomous Regions in China Based on SPSS[J]. Software, 2019, 0(2): 121-128 | |
| Authors: | CHEN Long CHEN Ting YUAN Ying-jing ZHOU Zhi-yi XIE Peng-hui |
| Affiliation: | (Faculty of Mechanical & Electrical Engineering, Kunming University of Science & Technology, kunming, yunnan 650051, China) |
| Abstract: | This paper uses 2016 China's 31 provinces, cities and autonomous regions of ecological-economic, industry, construction, wholesale and retail, transportation, warehousing and postal service, accommodation and catering industry, finance, real estate industry, other aspects such as statistical sample data of each output by cluster analysis, principal component analysis and factor analysis method, through SPSS software output were analyzed, and the ranking of 31 provinces and autonomous regions in China are classified, which can learn the various provinces and autonomous regions in China's current economic development situation, and can according to relevant results provide theoretical guidance for the development of different regions. |
| Keywords: | Economic development Cluster analysis Principal component analysis Factor analysis |
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