地球资源数据云——数据资源详情
电商销售
该数据集《E - Commerce Sales》主要用于监督学习任务，数据形态以表格为主。 题目说明：A realistic sample dataset for sales analysis, profit trends, and data science . 任务类型：表格监督学习。 建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：Ecommerce_Sales_Data_2024_2025.csv。 This dataset contains a synthetic but realistic sample of e - commerce sales for an online store, covering the period from 2024 to 2025. It includes details about orders, customers, products, regions, pricing, discounts, sales, profit, and payment modes. It is designed for data analysis, visualization, and machine learning projects. Beginners and advanced users can use this dataset to practice: Exploratory Data Analysis (EDA) Sales trend analysis Profit margin and discount analysis
摘要概览
该数据集《E - Commerce Sales》主要用于监督学习任务，数据形态以表格为主。 题目说明：A realistic sample dataset for sales analysis, profit trends, and data science .
任务类型：表格监督学习。
建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：Ecommerce_Sales_Data_2024_2025.csv。
This dataset contains a synthetic but realistic sample of e - commerce sales for an online store, covering the period from 2024 to 2025. It includes details about orders, customers, products, regions, pricing, discounts, sales, profit, and payment modes.
It is designed for data analysis, visualization, and machine learning projects. Beginners and advanced users can use this dataset to practice:
Exploratory Data Analysis (EDA)
Sales trend analysis
Profit margin and discount analysis