地球资源数据云——数据资源详情

咖啡销售数据集

发布时间：2026-03-17 14:31:48资源ID：2031264032693325826资源类型：免费

该数据集《Coffee Sales Dataset》主要用于监督学习任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：Coffe Sales Transaction Dataset 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：Coffe_sales.csv。 This dataset contains coffee shop transaction records, including details about sales, payment type, time of purchase, and customer preferences. It is specifically curated for data visualization, dashboard building, and business analytics projects in tools like Power BI, Tableau, and Python visualization libraries (Matplotlib, Seaborn, Plotly). With attributes covering time of day, weekdays, months, coffee types, and revenue, this dataset provides a strong foundation for analyzing customer behavior, sales patterns, and business performance trends. Dataset Structure - File format: CSV Columns (features): 1. hour_of_day → Hour of purchase (0–23)

咖啡销售数据集

摘要概览

该数据集《Coffee Sales Dataset》主要用于监督学习任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：Coffe Sales Transaction Dataset

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：Coffe_sales.csv。

This dataset contains coffee shop transaction records, including details about sales, payment type, time of purchase, and customer preferences. It is specifically curated for data visualization, dashboard building, and business analytics projects in tools like Power BI, Tableau, and Python visualization libraries (Matplotlib, Seaborn, Plotly).

With attributes covering time of day, weekdays, months, coffee types, and revenue, this dataset provides a strong foundation for analyzing customer behavior, sales patterns, and business performance trends.

Dataset Structure -

File format: CSV Columns (features):

1. hour_of_day → Hour of purchase (0–23)