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Daily Coffee Sales Data
E-commerce & Online Transactions
Tags and Keywords
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Free
About
This dataset contains detailed records of coffee sales from a vending machine. It is designed for the analysis of purchasing patterns, sales trends, and customer preferences related to coffee products. The dataset author is committed to providing an open dataset to the community.
Columns
date: The date of purchasing.datetime: The specific date and time of purchasing.cash_type: Indicates whether the purchase was made with cash or card. Card payments account for 98% of transactions.card: An anonymous card number used for card purchases. Please note that approximately 2% of these values are missing.money: The amount of money spent on the purchase, measured in Ukrainian hryvnias (UAH). Values range from 18.1 UAH to 40 UAH, with a mean of 31.7 UAH.coffee_name: The specific type of coffee purchased. "Americano with Milk" (23%) and "Latte" (22%) are among the most frequently purchased coffee types.
Distribution
The dataset is provided as a CSV file, named
index_1.csv, with a size of 279.37 kB. It features 6 distinct columns and contains 3636 valid records across most of its fields.Usage
This dataset is ideally suited for various analytical tasks, including:
- Time Series Exploratory Data Analysis.
- Predicting next day, week, or month sales figures.
- Analysing specific customer purchasing patterns.
- Gaining insights into purchasing trends and customer preferences for coffee products within a vending machine context.
Coverage
The dataset captures daily transaction data spanning from March 2024 to the present time, with new information continuously being added weekly. The recorded date and datetime ranges extend from 1st March 2024 to 24th March 2025. The use of Ukrainian hryvnias (UAH) suggests a geographic focus within Ukraine.
License
CC0: Public Domain.
Who Can Use It
This dataset is suitable for a diverse audience, including:
- Data analysts and data scientists focusing on retail and shopping behaviours.
- Researchers and practitioners engaging in time series analysis.
- Beginners in data analysis, as it is tagged as an accessible dataset.
- Businesses or individuals interested in understanding vending machine sales dynamics and consumer habits.
Dataset Name Suggestions
- Vending Machine Coffee Sales
- Coffee Vending Machine Transactions
- Daily Coffee Sales Data
- Retail Coffee Vending Insights
Attributes
- Original Data Source: Daily Coffee Sales Data
QUALITY