2025年度茶叶交易结构化分析数据集

数据采集基于企业2025年度完整的茶叶交易台账，涵盖353条交易记录的客户、日期、货物、数量、金额等全量核心字段；数据加工先对缺失的规格型号、单位字段进行填充与标准化处理，再通过关键词匹配规则构建茶叶细分品类、包装类型、茶叶等级的结构化分类体系，结合时间维度提取交易月份、季度特征，最后运用分组聚合、排序筛选、占比计算等统计算法，完成各维度的量化分析与高价值产品、核心客户的精准识别。The dataset was collected from the enterprise's complete tea transaction ledger for the year 2025, which includes 353 transaction records with all core fields such as customer information, transaction date, product details, transaction quantity and transaction amount. For data processing, missing specification, model and unit fields were first filled and standardized. Subsequently, a structured classification system for tea sub-categories, packaging types and tea grades was constructed via keyword matching rules. Transaction month and quarter features were extracted based on the time dimension. Finally, using statistical algorithms including grouping aggregation, sorting and filtering, and proportion calculation, quantitative analysis across all dimensions was performed, and accurate identification of high-value products and core customers was completed.

搜集汇总

背景与挑战

背景概述

该数据集是2025年度茶叶交易的结构化分析数据，由都匀毛尖茶产业发展（集团）有限公司基于全年353条交易记录自行产生，涵盖客户、日期、货物等核心字段。数据经过标准化处理和分类，支持产品运营、销售管理及行业研究等多场景应用，适用于企业战略规划和区域茶产业发展分析。