基于Python的消费者服装购买数据分析研究

Research on Consumer Clothing Purchase Data Analysis Based on Python

摘要: 信息化时代的到来，打破了传统的服装销售模式，精准营销成为一种高效的销售模式。为了深入了解消费者的需求，本研究通过问卷调查采集消费者购买服装产品相关数据，包括品牌、价格、款式、颜色、面料、质量、舒适度和实用性八个方面，将采集到的数据存入数据库中，使用Python语言编程对数据库中的数据进行综合分析处理，结合年龄、收入等基础条件，分析影响消费者购买服装时的考虑因素，使用Python的Matplotlib和Bokeh可视化库将数据分析结果用柱状图和饼状图的形式直观地展示出来，该数据分析结果可以给服装生产厂家与服装销售商提供参考，为厂家确定生产规模，为商家进行有针对性的精准营销提供理论依据和指导。本文的分析结论对服装的生产与销售具有重要意义。

Abstract: The advent of the information age has broken the traditional clothing sales model, and precision marketing has become an efficient sales model. In order to understand the needs of consumers in depth, this study collected data related to consumer purchases of clothing products through questionnaires, including eight aspects of brand, price, style, color, fabric, quality, comfort and practicality, and stored the collected data. Into the database, use Python language programming to comprehensively analyze and process the data in the database; combined with basic conditions such as age and income, analyze the factors that affect consumers when buying clothing; using Python’s Mat-plotlib and Bokeh visualization libraries, present the data analysis results visually in the form of bar chart and pie chart. The data analysis results can provide references for clothing manufacturers and clothing sellers, determine the production scale for manufacturers, and provide theoretical basis and guidance for merchants to carry out targeted precision marketing. The analysis conclusion of this article is of great significance to the production and sales of clothing.