Dark Mode
International Cuisine Quarterly Sales Log
Food & Beverage Consumption
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This resource provides a detailed quarterly compilation of orders originating from a hypothetical restaurant specializing in diverse international cuisines. It is specifically tailored for in-depth restaurant orders analysis, allowing users to discover demand patterns and identify popular items to refine business strategies. The dataset includes precise timestamps and specifics about the ordered items, such as category, name, and corresponding price.
Columns
The dataset is structured with several fields to facilitate granular analysis:
- order_details_id: A unique identifier for each distinct item within a single order.
- order_id: The unique identifier assigned to the overall transaction or order.
- order_date: The specific date (MM/DD/YY) on which the order was placed.
- order_time: The exact time (HH:MM:SS AM/PM) the order was entered.
- item_id / menu_item_id: Identifiers linking the order details to the menu item specifics.
- item_name: The name of the particular menu item purchased.
- category: Defines the cuisine type or specific category of the menu item.
- price: The recorded price of the menu item, denominated in US Dollars ($).
Distribution
The data file is suitable for CSV export and typically comprises 8 columns of structured data. It represents a quarterly aggregation of order details. Although total row counts may vary, a sample analysis indicates the total value count for many key fields is approximately 12,097, with a file size around 723.36 kB.
Usage
Ideal applications include market basket analysis to understand purchasing relationships between items, predictive modelling to forecast future demand, and operational planning to optimise inventory levels. It can be used by analysts to chart fluctuating demand patterns throughout the day and identify high-value transactions.
Coverage
This dataset is a quarterly compilation of orders from a singular, hypothetical international restaurant. The temporal scope spans one quarter, with sample data points referencing dates like 24 November 2025. Geographic scope and demographic details are not specified, focusing solely on the transactional data of the eatery. The data is expected to be updated quarterly.
License
CC0: Public Domain
Who Can Use It
- Business Intelligence Analysts: For studying sales performance and demand fluctuations over time.
- Operations Managers: To inform decisions regarding menu item popularity, pricing strategy, and kitchen efficiency.
- Data Scientists: For developing machine learning models related to customer behaviour and sales forecasting within the food industry.
Dataset Name Suggestions
- International Cuisine Quarterly Sales Log
- Restaurant Demand Patterns and Popular Items
- QSR Menu Item Transaction Data
Attributes
Original Data Source: International Cuisine Quarterly Sales Log
QUALITYLoading...