Dark Mode
Market Basket Coffee Data
Food & Beverage Consumption
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
A collection of synthetically generated transaction information, representing customer purchases within a coffee shop environment. The data is structured to facilitate the analysis of purchasing behaviours, enabling users to uncover frequent purchasing patterns and associations between different products (known as market basket analysis). This dataset is vital for developing targeted marketing campaigns and optimising product inventory and offerings.
Columns
The dataset contains 19 columns, with the following key fields:
- TransactionID: A unique identifier assigned to each individual customer transaction.
- Product Columns (e.g., Latte, Hazelnut Latte, Matcha Bun, Cookies, Croissant): These are binary fields (represented by 0 or 1), indicating whether the specific product was purchased (1) or not purchased (0) within that transaction. Products include various drinks (such as Latte, Hazelnut Latte, Vanilla Latte, Creamy Aren Latte, Caramel Latte, Matcha Latte, Cappuccino, Caramel Macchiato, and Americano) and food items (such as Matcha Bun, Cheese Toast, Chocolate Toast, Butter Toast, Cookies, Croissant, Egg Salad Toast, Fries, and Crispy Chicken Nuggets).
Distribution
The data file is typically provided in a format like CSV. The structure includes 19 columns and contains 1000 rows, with each row representing one transaction record. All records are currently valid with no reported missing or mismatched data points.
Usage
This dataset is ideal for:
- Performing market basket analysis to discover product association rules.
- Developing and evaluating marketing strategies based on observed co-purchase patterns.
- Optimising product offerings and placement within a retail setting.
- Building basic recommender systems for retail environments.
Coverage
The data provided is synthetically generated; therefore, it does not represent a specific real-world geographic area or time range. It models a general coffee shop scenario. Updates to this particular dataset are not expected.
License
CC BY-NC-SA 4.0
Who Can Use It
- Beginner Data Scientists: For learning association rule mining and fundamental data analysis techniques.
- Business Strategists: For testing hypotheses related to product bundling and retail optimisation.
- Analysts: For generating reports on customer spending habits and identifying profitable cross-selling opportunities.
Dataset Name Suggestions
- Coffee Shop Transaction Records
- Market Basket Coffee Data
- Synthetic Customer Purchase Dataset
- Retail Transaction Association Data
Attributes
Original Data Source:Market Basket Coffee Data
QUALITYLoading...