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Supermarket Vegetable Sales Data
Food & Beverage Consumption
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Free
About
This dataset provides sales information for various vegetables collected from a supermarket. It aims to offer insights into the types and categories of vegetables sold, serving as a foundational resource for understanding retail vegetable transactions and patterns.
Columns
- Item Code: A unique identifier for each individual vegetable item. The column includes statistical details such as label counts, mean, standard deviation, and quantiles, with 251 valid entries.
- Item Name: The specific name of the vegetable item. This column features 247 unique values, with "Chinese Cabbage" being the most frequently occurring item. All 251 entries are valid.
- Category Code: A numeric code used to classify each vegetable item into its respective category. It includes label counts, statistical measures, and quantiles for its 251 valid entries.
- Category Name: The descriptive name for the vegetable categories. There are 6 unique categories, with "Flower/Leaf Vegetables" representing 40% of the entries and "Edible Mushroom" making up 29%. All 251 entries are valid.
Distribution
The dataset is available in a CSV format as
annex1.csv. Its file size is 16.6 kB, and it consists of 4 columns with 251 records.Usage
This dataset is well-suited for a variety of applications, including:
- Business analytics: To analyse sales performance, identify popular items, and inform strategic decisions in a retail environment.
- Data analytics projects: For tasks such as data cleaning, exploratory analysis, and developing models related to sales forecasting or inventory management.
- Retail operations: Optimising product stocking and marketing efforts based on observed sales trends of vegetables.
Coverage
The dataset does not specify any particular geographic region, time range, or demographic scope for the sales data.
License
CC BY-NC-SA 4.0
Who Can Use It
- Retail businesses: To gain deeper insights into their vegetable sales and streamline operations.
- Data analysts and scientists: Utilising the data for various analytical tasks and model development.
- Academics and researchers: Investigating consumer purchasing habits and market trends within the supermarket sector.
Dataset Name Suggestions
- Supermarket Vegetable Sales Data
- Retail Vegetable Sales Dataset
- Grocery Store Vegetable Data
- Vegetable Sales Performance
Attributes
Original Data Source: Supermarket Vegetable Sales Data
QUALITY