地球资源数据云——数据资源详情
电子商务销售和利润分析数据集
该数据集《E - Commerce Sales & Profit Analysis Dataset》主要用于回归/预测任务，数据形态以表格为主。 题目说明：Realistic e - commerce data for analysis, visualization, and predictive modeling. 任务类型：表格回归/预测。 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 (2).csv。 Description The dataset consists of 3,500 e - commerce orders with 7 key features. It captures sales transactions across different products, categories, and regions, along with quantity, revenue, and profit details. The data is complete, contains no missing values, and reflects realistic business patterns suitable for analytical and predictive tasks. 1⃣ Dataset Overview Dataset Type: E - commerce Sales Data Rows: 3,500
摘要概览
该数据集《E - Commerce Sales & Profit Analysis Dataset》主要用于回归/预测任务，数据形态以表格为主。 题目说明：Realistic e - commerce data for analysis, visualization, and predictive modeling.
任务类型：表格回归/预测。
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 (2).csv。
Description
The dataset consists of 3,500 e - commerce orders with 7 key features. It captures sales transactions across different products, categories, and regions, along with quantity, revenue, and profit details.
The data is complete, contains no missing values, and reflects realistic business patterns suitable for analytical and predictive tasks.
1⃣ Dataset Overview Dataset Type: E - commerce Sales Data
Rows: 3,500