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Footwear Pricing and Brand Data
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About
A collection of data designed for analysing pricing patterns, features, and brand influence in the footwear market. This data enables examination of shoe prices across various brands.
Columns
- brand: The brand name of the product.
- color: The colour of the product.
- size: The size of the product.
- price: The original retail price of the product.
- offer_price: The price of the product after a discount.
Distribution
The data is provided in a single CSV file (
data.csv) with a size of 156.63 kB. It is structured in a tabular format containing 5,679 rows and 5 columns.Usage
Ideal applications for this data include:
- Price Prediction: Developing models to predict shoe prices based on features like brand and category.
- Trend and Demand Analysis: Identifying seasonal trends and changes in consumer preferences.
- Market Segmentation: Segmenting the market by price points, brand reputation, or product type.
- Recommendation Systems: Building personalised recommendation engines for e-commerce platforms.
- Competitive Analysis: Comparing the pricing strategies of different brands.
- Consumer Insights: Understanding factors that influence customer purchasing decisions.
Coverage
This data covers footwear products from 30 distinct brands. No specific geographic, temporal, or demographic scope is mentioned in the provided sources.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: Can perform market segmentation and competitive analysis to identify strategic opportunities.
- E-commerce Businesses: Can build recommendation engines and optimise pricing strategies.
- Market Researchers: Can analyse consumer trends and brand performance.
- Data Science Students: Can use this data for beginner to intermediate level projects in price prediction and data analytics.
Dataset Name Suggestions
- Footwear Pricing and Brand Data
- Shoe Market Pricing Analysis
- Brand Footwear Price Dataset
- E-commerce Shoe Price Analytics
Attributes
Original Data Source: Footwear Pricing and Brand Data
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