贵州茶业电商市场分析数据集

数据集通过聚合电商云多板块业务，已采用加密技术对个人敏感信息进行脱敏处理的茶叶产品数据集合，包括：1、电商平台交易数据：时间、区域、品牌、类目、价格、销量、销售额等核心信息；2、数据清洗规则包括剔除异常值、删除重复值、合理补全缺失值，并按时间、地域（如黔南州、铜仁市）、品牌、品类（绿茶、红茶、黑茶）等维度分类存储。最终通过基础统计分析：销售企业数、店铺数，销量、销售额月度增长趋势；品类销售占比、品牌占比、区域增长趋势对比、区域商品特点、店铺分层、价格分层、热销商品等多维度，生成可视化行业报告。

This is a tea product dataset that aggregates multi-segment businesses from e-commerce cloud platforms, with personal sensitive information properly desensitized using encryption technologies. The dataset includes two main parts: 1. E-commerce platform transaction data, covering core information such as transaction time, region, brand, category, price, sales volume and sales revenue; 2. Data cleaning rules, which involve removing outliers, deleting duplicate entries, reasonably imputing missing values, and storing the processed data by dimensions including time, region (e.g., Qiannan Prefecture, Tongren City), brand and product category (green tea, black tea, dark tea). Finally, multi-dimensional basic statistical analyses are conducted, including the number of sales enterprises and stores, monthly growth trends of sales volume and sales revenue, category sales proportion, brand sales proportion, comparison of regional growth trends, regional product characteristics, store stratification, price stratification and best-selling products, to produce visualized industry reports.

搜集汇总

背景与挑战

背景概述

贵州茶业电商市场分析数据集是一个5GB规模、月更新的数据集，专注于茶叶线上交易数据监测，为茶叶企业、电商平台及科研部门提供数据支持。数据集包含日期、市州、区县、平台名称、品牌名称、类目、店铺id、商品id、商品名称、商品价格、销量和销售额等字段，支持多维度分析和可视化报告生成。