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基于SPSS数据分析的影响旅游地区发展的主要因素分析
引用本文:黄文霞,李民.基于SPSS数据分析的影响旅游地区发展的主要因素分析[J].软件,2019(1):144-149.
作者姓名:黄文霞  李民
作者单位:1.昆明理工大学机电工程学院
摘    要:本文主要分析北京、天津、河北、山西、辽宁、吉林、上海、江苏、浙江、安徽、福建等11个地区的基本设施建设投资、消费价格指数、公共交通人数、AAAA级旅游景点数、住宿、餐饮业服务人数、接待入境旅游人数、旅游外汇收入、园林、绿地面积等8个因素对各地区旅游业发展的影响程度,根据2015年(中国统计年鉴)的相关数据,首先进行相关分析,分析各变量之间的相关性,其次利用多元统计方法中的主成分分析方法和因子分析方法,借助SPSS软件,提取出3个影响旅游业的主要因素最后构造这3个主要因素与8个可控因素之间的线性方程及综合得分函数,通过Excel计算出各个地区的综合得分。

关 键 词:SPSS  相关分析  主成分分析  因子分析

Analysis of Main Factors Affecting the Development of Tourist Areas Based on SPSS Data
HUANG Wen-xia,LI Min.Analysis of Main Factors Affecting the Development of Tourist Areas Based on SPSS Data[J].Software,2019(1):144-149.
Authors:HUANG Wen-xia  LI Min
Affiliation:(Kunming University of Science and Technology, Kunming 650093)
Abstract:This paper mainly analyzes the infrastructure construction investment, consumer price index, public transportation number, AAAA-level tourist attractions, accommodation, and accommodation in 11 areas including Beijing, Tianjin, Hebei, Shanxi, Liaoning, Jilin, Shanghai, Jiangsu, Zhejiang, Anhui, and Fujian. According to the relevant data of 2015 (China Statistical Yearbook), the relevant analysis of the number of catering service, the number of inbound tourists, the foreign exchange income of tourism, the garden and the green area will be analyzed and analyzed. The correlation between the variables, and then the principal component analysis method and factor analysis method in the multivariate statistical method, using the SPSS software to extract three main factors affecting the tourism industry, the final construction of these three main factors and 8 controllable The linear equation between the factors and the comprehensive score function are used to calculate the comprehensive scores of each region through Excel.
Keywords:SPSS  Correlation analysis  Principal component analysis  Actor analysis
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