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Regional Shoe Sales Data
Retail & Consumer Behavior
Tags and Keywords
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Free
About
This dataset provides detailed information about shoe sales within a specific region. It includes key attributes such as the brand, model, shoe type, gender, size, colour, material, and price of each shoe. It was created purely for educational purposes and was generated by large language models rather than being collected from actual sales data. Commercial use of this dataset is strictly prohibited.
Columns
- Brand: The manufacturer of the shoe, for example, Nike, Adidas, or Reebok. There are 10 unique brands, with Nike being the most common at 12%.
- Model: The specific name or number identifying the shoe's design, such as Air Jordan 1 or Ultra Boost 21. There are 239 unique models, with NMD_R1 and Sk8-Hi each representing 4%.
- Type: Describes the intended use or function of the shoe, for instance, running, casual, or skate. There are 18 unique types, with Running being the most common at 33%.
- Gender: Indicates the target demographic for the shoe, such as men, women, or unisex. There are 2 unique gender specifications, with Men accounting for 53% and Women for 47%.
- Size: The shoe's size, using US sizing conventions. There are 13 unique sizes, with US 8.5 and US 9 each representing 13%.
- Color: Describes the predominant colour or colour combination of the shoe's exterior. There are 82 unique colours, with Black being the most common at 18% and White at 14%.
- Material: The primary material used in the shoe's construction, such as leather, mesh, or suede. There are 34 unique materials, with Mesh being the most common at 31% and Leather at 17%.
- Price: The cost of purchasing the shoe, stated in US dollars. There are 33 unique prices, with $65.00 being the most common at 12% and $90.00 at 10%.
Distribution
The dataset is provided as a CSV file, named "Shoe prices.csv", with a size of 64.55 kB. It comprises 8 columns and contains 1006 records, with all columns exhibiting 100% validity and no missing or mismatched entries.
Usage
This dataset is ideal for educational applications, particularly for those interested in data analytics, exploratory data analysis, and regression modelling. It serves as a valuable resource for beginners learning to work with tabular data.
Coverage
The dataset focuses on shoe sales in a particular, unspecified region. It includes gender demographics, with shoes designed for men accounting for 53% and women for 47%. No specific time range for the sales data is provided.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
This dataset is primarily intended for academic and learning purposes. It is suitable for students, beginners in data science, and educators who wish to demonstrate or learn about:
- Basic data analytics techniques.
- Conducting exploratory data analysis on sales data.
- Implementing regression models to predict shoe prices.
Dataset Name Suggestions
- Regional Shoe Sales Data
- Footwear Market Analysis Dataset
- Shoe Prices & Attributes
- Educational Shoe Sales Data
Attributes
Original Data Source: Regional Shoe Sales Data
QUALITY