基于Hadoop平台的准大学生网购手机消费行为分析  

Analysis of Mobile Phone Consumption Behavior of Prospective College Students Based on Haddop Platform

作　　者：徐俊梅 陈滨 XU Jun-mei;CHEN Bin(Hefei Science and Technology Vocational College,Hefei 231299,China)

机构地区：[1]合肥科技职业学院

出　　处：《电脑知识与技术》2019年第12Z期235-237,242,共4页Computer Knowledge and Technology

基　　金：安徽省教育厅(相助省级重点项目)质量工程(2017zhkt358)

摘　　要：智能手机改变了几代人的生活方式,引领着新技术潮流,准大学生市场成为手机厂家的必争之地。笔者通过Chrome浏览器开发者工具采集某电商网站上高考后三个月互联网中手机销售数据,利用Hadoop技术生态组件对数据进行清洗过滤、分析存储、可视化呈现,分析准大学生购买手机的倾向,通过品牌、颜色、屏幕尺寸三个方面分析其购买行为,预测目标群体网购趋势,引导手机厂家提升产品技术水平,从而更好促进手机市场更好发展。Smartphones have changed the lifestyle of generations and led the trend of new technologies.The quasi-student market has become a must for mobile phone manufacturers.I use the Chrome browser developer tool to collect the mobile phone sales data of the In⁃ternet in the three months after the college entrance examination on the e-commerce website,and use the Hadoop technology ecological component to clean,filter,analyze,store and visualize the data,and analyze the tendency of prospective college students to purchase mo⁃bile phones.Through the three aspects of brand,color and screen size,the paper analyzes its purchasing behavior,predicts the online shopping trend of the target group,and guides the mobile phone manufacturers to improve the product technology level,thus better pro⁃moting the better development of the mobile phone market.

关 键 词：大学生 手机网购 HADOOP平台 PYTHON 数据可视化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]