基于聚類分析的我國(guó)各地gdp與影響因素分析報(bào)告-資料下載頁(yè)
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【正文】 7]白永秀,[J].嘉興學(xué)院學(xué)報(bào),2005,(1):7686.[8]羅姍,[J].重慶交通學(xué)院學(xué)報(bào),2005,(4):7881.[9]Podolny,.,Baron, and resources:Social networks and mobility in the workplace[J]. American Sociological Review,1997,(62).[10]陳瑤，周建萌，我國(guó)人均消費(fèi)和人均國(guó)內(nèi)生產(chǎn)總值關(guān)系的實(shí)證研究[J]企業(yè)導(dǎo)報(bào)，2012，（16）Analysis of GDP and its influencing factors in China based on clustering analysisChen Huang(School of mathematics and puter science (shaanxi institute of mathematics and applied mathematics class 1101, shaanxi hanzhong 723001).Tutor: xiaokang li[abstract] : With the use of SPSS software to analyze the main economic index of the 30 provinces, municipalities directly under the central government and autonomous regions, its economy can be divided into several different types according to the corresponding methods of analysis. These provinces over our country can be classified from the economy through this paper chooses the seven indicators as to decide the influenial factors of economic type. And all the data are from the national statistical yearbook in 2010. The results of analysis show that Beijing and Shanghai ranks in the first kind of economic type while Jiangsu, Shandong, Guangdong and Zhejiang provinces or other most in the fourth class economy。 Other 25 provinces, municipalities directly under the central government and autonomous regions basicly range from the second type to the third type change. Key words: SPSS software。Clustering analysis。Economic type。GDP歡迎您的光臨，！希望您提出您寶貴的意見(jiàn)，你的意見(jiàn)是我進(jìn)步的動(dòng)力。贈(zèng)語(yǔ)； 如果我們做與不做都會(huì)有人笑，如果做不好與做得好還會(huì)有人笑，那么我們索性就做得更好，來(lái)給人笑吧！ 現(xiàn)在你不玩命的學(xué)，以后命玩你。我不知道年少輕狂，我只知道勝者為王。不要做金錢(qián)、權(quán)利的奴隸；應(yīng)學(xué)會(huì)做“金錢(qián)、權(quán)利”的主人。什么時(shí)候離光明最近？那就是你覺(jué)得黑暗太黑的時(shí)候。最值得欣賞的風(fēng)景，是自己奮斗的足跡。壓力不是有人比你努力，而是那些比你牛幾倍的人依然比你努力。第11頁(yè) 共11
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