摘要
用户画像技术可以深入揭示用户行为特征,助力企业实现精准营销和产品优化。探讨了基于Pandas库的用户画像分析与实现,通过数据处理与分析,对用户数据进行加载、清洗、转换及统计分析,进而构建了涵盖用户年龄、性别和消费习惯等多维度信息的全面用户画像,精准地描绘了用户的基本属性与行为特点,为企业提供了深刻的用户行为洞察。验证了基于Pandas库的用户画像分析是一种高效且实用的数据分析手段,可以更精准地理解用户需求,为营销策略的制定和产品优化提供坚实的数据支持。
User profiling technology can deeply reveal user behavior characteristics,enabling businesses to optimize marketing strategies and product development.This article discusses the analysis and implementation of user profiling based on the Pandas library.Through the data processing and analysis functions of the Pandas library,user data is loaded,cleaned,converted,and statistically analyzed,and a comprehensive user profile covering multi-dimensional information such as user age,gender,and consumption habits is constructed.It accurately depicts the basic attributes and behavioral characteristics of users,providing enterprises with profound insight into user behavior.The study demonstrates that that Pandas-based user profiling analysis is an efficient and practical data analysis method that can more accurately understand user needs and provide solid data support for the formulation of marketing strategies and product optimization.
作者
邓翔
DENG Xiang(Henan Surveying and Mapping Vocational College,Zhengzhou 451450,China)
出处
《中原工学院学报》
2024年第6期10-14,共5页
Journal of Zhongyuan University of Technology
