A dataset containing coffee shop sales transactions with product, quantity, and
Dataset Description
This dataset contains sample records of coffee sales. It is designed for practice in data analysis, cleaning, visualization, and machine learning. The data is synthetic and does not include any personal or sensitive customer information.
Columns (common possibilities):
Date – The date of the transaction
Product – The type of coffee (e.g., Espresso, Latte, Cappuccino)
Quantity – Number of units sold
Unit Price – Price per item
Total Sales – Total revenue for that transaction
**Store/Location (if included) **– Coffee shop branch or sales outlet
Possible Uses:
Practice with data cleaning and preprocessing
Exploratory Data Analysis (EDA) and visualization (e.g., sales by product, time trends)
Learning how to group, aggregate, and summarize sales data
Beginner-friendly machine learning tasks such as forecasting sales
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