E-commerce Orders Dataset 2026

Overview

The E-commerce Orders Dataset 2026 contains 30,000 online retail transactions designed for business intelligence, customer analytics, sales performance evaluation, and machine learning applications.

The dataset captures customer demographics, order information, product details, pricing structures, discounts, payment methods, shipping operations, customer engagement metrics, review ratings, and profitability indicators.

It provides a comprehensive view of the modern e-commerce lifecycle, enabling analysts, students, and researchers to explore customer behavior, revenue drivers, order patterns, and operational performance.

Dataset Characteristics

30,000 Order Records
41 Features
No Missing Values
Business Intelligence Ready
Machine Learning Ready
E-commerce Analytics Focused

Main Targets

High_Value_Order

Classification target indicating whether an order belongs to the highest-value segment.

Order_Amount

Regression target representing the final value of an order.

Returned

Business target indicating whether a customer returned an order.

Potential Use Cases

Customer Segmentation
Sales Analytics
Customer Lifetime Value Analysis
Product Performance Analysis
Marketing Channel Effectiveness
Return Prediction
Revenue Forecasting
E-commerce Dashboard Development
Machine Learning Projects
Business Intelligence Applications

Included Files

ecommerce_orders_dataset.csv
data_dictionary.csv
ecommerce_orders_notebook.ipynb
README.md
LICENSE

License

MIT License

3 个文件

浏览文件

数据集版权信息

本数据集的许可证为 MIT License。如有违反相关条款，请联系 WEHUB，我们将及时处理。查看许可证

E-commerce Orders Dataset 2026 | SCRA 已完整同步