天猫用户付款数据集

该数据集为天猫电商平台用户交易相关数据，涵盖订单、金额、地址、时间、用户属性及店铺信誉六大维度。
订单信息维度含唯一标识的 “订单编号”；金额维度包含 “总金额”“买家实际支付金额”“退款金额”；地址维度记录 “收货地址” 信息，覆盖不同地区；时间维度含 “订单创建时间”与 “订单付款时间”，时间范围集中在 2020 年 2 月；用户属性维度有 “用户价值”“历史付款行为”“用户活跃度”；店铺维度含 “店铺信誉” 指标。
数据集整体完整性较好，仅付款时间存在少量缺失，可用于用户消费行为分析、订单转化研究、用户价值分层及店铺运营优化等场景。（仅供学习）

This dataset contains user transaction-related data from the Tmall e-commerce platform, covering six dimensions: orders, amount, address, time, user attributes, and store reputation.
The order information dimension includes the uniquely identified "order number"; the amount dimension includes "total amount", "actual payment amount of the buyer", and "refund amount"; the address dimension records "shipping address" information covering different regions; the time dimension includes "order creation time" and "order payment time", with the time range concentrated in February 2020; the user attribute dimension includes "user value", "historical payment behavior", and "user activity"; the store dimension includes the "store reputation" indicator.
The overall integrity of the dataset is good, with only a small number of missing payment time entries. It can be used for scenarios such as user consumption behavior analysis, order conversion research, user value stratification, store operation optimization, etc. (For learning purposes only)

搜集汇总

背景与挑战

背景概述

该数据集包含天猫电商平台2020年2月的用户交易数据，涵盖订单、金额、地址、时间、用户属性和店铺信誉六大维度。数据完整性良好，仅付款时间存在少量缺失，适用于用户消费行为分析、订单转化研究和店铺运营优化等场景。