基于Python的淘宝用户行为的数据分析和可视化  

Data Analysis and Visualization of Taobao User Behavior Based on Python

作　　者：焦帅磊 马丽 丁志超 杨晋 Jiao Shuai-lei;Ma Li;Ding Zhi-chao;Yang Jin(Ordos College of Applied Technology,Ordos 017000,Inner Mongolia Province,China)

机构地区：[1]鄂尔多斯应用技术学院,内蒙古鄂尔多斯017000

出　　处：《科学与信息化》2025年第7期74-77,共4页Technology and Information

基　　金：鄂尔多斯应用技术学院大学生创新创业训练计划,项目名称:基于Python的外星人入侵游戏的设计与开发,项目编号:202314532040。

摘　　要：随着电子商务的飞速发展,网上购物已经成为大众购买商品的主流方式。用户行为数据则是制定营销策略的重要依据,文章采用Python作为编程语言,获取淘宝商品信息进行大数据分析,并通过Python的可视化库,将分析的结果以直观图的形式展现出来,可以让企业更好地理解用户行为模式,制定更精准的营销策略。With the rapid development of e-commerce,online shopping has become the mainstream way for consumers to purchase goods.User behavior data serves as a crucial basis for formulating marketing strategies.This paper employs Python as the programming language to obtain Taobao product information for big data analysis.By leveraging Python's visualization libraries,the analysis results are presented in the form of intuitive charts,enabling enterprises to better understand user behavior patterns and develop more precise marketing strategies.

关 键 词：淘宝 PYTHON 大数据 可视化 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]