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Restaurant Sales Feature Evaluation Data
Food & Beverage Consumption
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About
Presents 5 months of simulated online ordering data specifically concerning Ding Tai Fung, the renowned Taiwanese restaurant chain celebrated internationally for its exquisite cuisine, particularly its signature xiaolongbao. The data documents orders placed through an online ordering platform, reflecting a strategic shift during the COVID-19 pandemic to allow customers to enjoy meals at home. Although this is generated data rather than real-world transaction records, the items and pricing accurately mirror the actual Ding Tai Fung menu. It is an ideal resource for evaluating the performance impact of a new sales-boosting feature implemented on the platform starting 1st April 2023.
Columns
The dataset is provided in the file
detail.csv and consists of three crucial fields:order_id: A unique identifier assigned to each customer transaction.item_id: The identifier for the specific Ding Tai Fung menu item purchased.price: The cost of the item, recorded in TWD (Taiwanese Dollars).
Distribution
The entire data product resides in a single CSV file,
detail.csv, which is approximately 203.86 kB in size. The structure is clean, containing 14.7k valid records. This is a fixed dataset, and the expected update frequency is never.Usage
This resource is best suited for statistical and business intelligence applications, including:
- Performing A/B testing to establish if the new platform feature launched on 1st April 2023 yields a statistically significant difference in sales performance.
- Detailed analysis of product sales performance before and after the introduction of the new feature.
- Studying the monthly trends and seasonality patterns observed in the order volume.
- Creating visualisations of consumer purchasing habits in the restaurant sector.
Coverage
The dataset spans a fixed 5-month period of simulated ordering activity. While focused on online transactions, the content is contextually rooted in the operations of the Ding Tai Fung brand, suggesting a scope relevant to Asia and the Taiwanese market (indicated by the TWD currency).
License
CC0: Public Domain
Who Can Use It
- Data Analysts: For assessing the success metrics of digital product features and monitoring sales trends.
- Students of Data Analytics: To practise A/B testing methodology using realistic, business-relevant data.
- Retail Strategists: To gain insight into consumer behaviour shifts toward online ordering for high-quality cuisine.
Dataset Name Suggestions
- Ding Tai Fung E-Commerce Order Simulation
- Restaurant Sales Feature Evaluation Data
- DTF Online Ordering A/B Test Data
- Taiwanese Food Order Analysis
Attributes
Original Data Source: Restaurant Sales Feature Evaluation Data
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