地球资源数据云——数据资源详情

咖啡店销售

该数据集《Coffee Store Sales》主要用于监督学习任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Coffee Shop Sales Dashboard 任务类型：文本监督学习。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 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：未检测到标准 CSV，可优先查看目录中的索引或说明文件。 This dataset captures daily sales transactions from a coffee shop in Cape Town over March 2024. It includes transaction timestamps, payment types (card/cash), coffee product names, and revenue per transaction. The dataset is designed to help explore customer habits and business performance — perfect for time series analysis, data visualization, or beginner - friendly data analytics projects. Columns Description Column: What it means date Transaction date (YYYY/MM/DD) datetime: Exact timestamp of the transaction cash_type: Payment method (card or cash) card: Anonymized customer ID (card - based loyalty) money: Amount spent per transaction (in South African Rand) coffee_name: Type of coffee purchased Possible analyses Trend of transactions and sales by day of the week (Monday–Sunday) Revenue distribution by coffee type