电商评价多维度分析数据集

1.数据采集：从电子卖场平台采集供应商服务评价信息，具体包含采购单号、供应商名称、服务描述匹配评分、服务态度评分、发货速度评分、配送服务评分、评价时间、采购人字段信息；
2.数据处理：1）通过Excel函数或Python的numpy库计算描述相符度、服务态度、发货速度、配送服务等评分项的均值（所有评分总和除以样本量）和极值（最大值、最小值）；2）采用时间序列分析方法（Excel折线图或Python的matplotlib库等）按评价时间做趋势分析；3）同步统计各供应商综合评分（结合各评分项权重计算的加权总分）及排名，关联采购人信息分析其对各维度评分的偏好倾向；
3.数据应用：助力电商平台优化服务体系、供应商针对性提升产品服务质量，也为采购人筛选优质供应商提供数据支撑。

1. Data Collection: Supplier service evaluation information is collected from online marketplace platforms, including specific fields such as purchase order number, supplier name, service description matching score, service attitude score, delivery speed score, distribution service score, evaluation time, and purchaser information;
2. Data Processing: 1) Calculate the mean (total score of all items divided by sample size) and extreme values (maximum and minimum values) of each scoring metric including description matching degree, service attitude, delivery speed and distribution service via Excel functions or Python's NumPy library; 2) Perform trend analysis based on evaluation timeline using time series analysis methods, such as Excel line charts or Python's Matplotlib library; 3) Simultaneously compute the comprehensive score (weighted total score calculated by integrating the weights of each scoring metric) and ranking of each supplier, and analyze the preference bias of purchasers towards each dimension of scores by correlating purchaser information;
3. Data Application: This dataset can help e-commerce platforms optimize their service systems, enable suppliers to targetedly enhance their product and service quality, and provide data support for purchasers to screen high-quality suppliers.

搜集汇总

背景与挑战

背景概述

该数据集包含4000条电商平台供应商评价数据，每日更新，适用于优化电商服务体系。它采集多维度评分如服务态度和发货速度，并通过统计分析提供供应商综合表现和趋势，助力决策者全面评估服务质量。