Visualization of Micro-credit Company Development in China

Yu-jiang Dong, Yuan Ye
{"title":"Visualization of Micro-credit Company Development in China","authors":"Yu-jiang Dong, Yuan Ye","doi":"10.1109/ICMECG.2014.82","DOIUrl":null,"url":null,"abstract":"Data visualization has been applied more and more recently because there is large scale of data to be processed. It can be used to show the data in a more effective and comprehensive way. Micro-Credit Companies (MCCs) have mushroomed in China in recent years. There are over 8000 MCCs in China by the end of March, 2014, reported by the People's Bank of China. These companies are important compliment to Chinese finance system and they are of big help in the development of small and medium enterprises. In this paper, some visualization ways to show the development of MCCs in China are presented. The MCCs development data from 2011 to 2014 are analyzed. In order to compare the development of MCCs in different areas, clustering method based on K-Means is used and performed by SPSS. The sum of paid-in loans and outstanding loans of different clusters is shown in Excel by pie-chart year by year. The center point of each cluster is shown in radar chart. These charts can give direct information about the development of MCCs and show the different status of MCCs in different area.","PeriodicalId":413431,"journal":{"name":"2014 International Conference on Management of e-Commerce and e-Government","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Management of e-Commerce and e-Government","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMECG.2014.82","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Data visualization has been applied more and more recently because there is large scale of data to be processed. It can be used to show the data in a more effective and comprehensive way. Micro-Credit Companies (MCCs) have mushroomed in China in recent years. There are over 8000 MCCs in China by the end of March, 2014, reported by the People's Bank of China. These companies are important compliment to Chinese finance system and they are of big help in the development of small and medium enterprises. In this paper, some visualization ways to show the development of MCCs in China are presented. The MCCs development data from 2011 to 2014 are analyzed. In order to compare the development of MCCs in different areas, clustering method based on K-Means is used and performed by SPSS. The sum of paid-in loans and outstanding loans of different clusters is shown in Excel by pie-chart year by year. The center point of each cluster is shown in radar chart. These charts can give direct information about the development of MCCs and show the different status of MCCs in different area.
中国小额信贷公司发展的可视化
近年来,由于需要处理大量的数据,数据可视化技术得到了越来越多的应用。它可以更有效、更全面地显示数据。近年来,小额信贷公司在中国如雨后春笋般涌现。据中国人民银行统计,截至2014年3月底,中国共有8000多家监控企业。这些公司是中国金融体系的重要补充,对中小企业的发展有很大的帮助。本文提出了一些可视化的方法来显示中国监控中心的发展。分析了2011 - 2014年MCCs发展数据。为了比较不同地区mcc的发展情况,采用基于K-Means的聚类方法,并通过SPSS进行分析。不同集群的实收贷款和未偿还贷款之和在Excel中以饼图的形式逐年显示。每个簇的中心点在雷达图中显示。这些图表可以直观地反映出mcc的发展情况,并显示出不同地区mcc的不同状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信