食用油电商销售监测数据集

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食用油销售数据集合。清洗规则主要包括：1、数据基础清洗，如删除重复值、剔除异常值、合理补全缺失值；2、按品类、品牌、销售渠道分类存储；3、分析层通过品牌市场占比、品类分布、区域消费热力图、价格带分布等输出运营报告。

This edible oil sales dataset is aggregated from multiple business segments of e-commerce cloud platforms, with personal sensitive information properly desensitized via encryption technologies. The main data cleansing rules are as follows: 1. Basic data cleansing: remove duplicate entries, eliminate outliers, and appropriately impute missing values; 2. Store data classified by product category, brand and sales channel; 3. The analysis layer generates operation reports using metrics including brand market share, product category distribution, regional consumption heatmap and price range distribution.

搜集汇总

背景与挑战

背景概述

食用油电商销售监测数据集是一个3GB规模、按月更新的数据集，包含贵州地区食用油电商销售的详细数据，适用于电商平台优化、商家策略调整和消费偏好分析等场景。