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Daily Culinary Transactions & Engagement
Food & Beverage Consumption
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About
The daily sales and customer engagement dynamics of Suraj Breakfast Centre, a popular local culinary spot. It offers a detailed look at various breakfast dishes, their pricing, and how customers engage with the establishment, either dining in or opting for takeaway. Collected through a direct collaboration with the shop owners, this data aims to facilitate a deeper understanding of local culinary trends and business performance.
Columns
- Date: The specific date on which the sales data was recorded, spanning October and November 2023.
- Dish Name: The name of the breakfast item sold at the centre.
- Price: The cost of a single plate of the respective dish.
- Dine In: The tally of customers who chose to eat their meal within the shop premises.
- Parcel: The tally of customers who purchased their meal for takeaway.
- Total Customers: The overall number of patrons for a particular dish on a given day.
- Total Sales: The total revenue generated from a specific dish on that day.
Distribution
The dataset is provided in a CSV file format, named
restaurant_data.csv. It comprises 7 columns and contains 649 individual records. The file size is approximately 24.29 kB. The data structure is tabular, with each row representing a daily record for a specific dish.Usage
This dataset is ideal for various analytical applications, including sales performance analysis, customer behaviour studies, and business intelligence reporting. It can be used to identify popular dishes, observe daily sales trends, compare dine-in versus takeaway preferences, and inform strategies for menu optimisation or marketing. Researchers and analysts can explore local economic dynamics through a micro-level lens.
Coverage
The data was collected from Suraj Breakfast Centre, a single local establishment. The temporal scope ranges from 1st October 2023 to 28th November 2023. There is no specific demographic segmentation within the dataset, as it focuses on general customer transactions and sales figures for the establishment.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for Data Analysts, Data Scientists, business intelligence professionals, local business owners, and academic researchers interested in food service industry trends or small business performance. It also serves as an excellent resource for students undertaking projects in data analysis, visualisation, or machine learning model development related to sales forecasting.
Dataset Name Suggestions
- Suraj Breakfast Centre Daily Sales (Oct-Nov 2023)
- Local Breakfast Spot Customer Activity
- Restaurant Sales Data: Suraj Edition
- Daily Culinary Transactions & Engagement
Attributes
Original Data Source: Daily Culinary Transactions & Engagement
QUALITY