Motorcycle Parts & Accessories Retail Data
Retail & Consumer Behavior
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About
Contains details for approximately 1000 motorcycle gears and accessories from the online retailer RevZilla.com. This data includes metadata such as brand, price, category, and colour for each product. It is well-suited for retail-focused analyses, such as building content-based product recommendation engines or performing inventory optimisation. The information was originally scraped by the crawlfeed team and subsequently cleaned and preprocessed.
Columns
- product_id: A unique identifier for each product.
- gear_name: The name of the motorcycle gear or accessory.
- brand: The manufacturer or brand of the product.
- categories: The primary product category.
- sub_categories: The more specific sub-category for the product.
- color: The colour of the item. Note that this field has many missing values.
- price: The price of the product listed in USD.
- num_images: The number of available images for the product listing.
- short_description: A brief, concise description of the product. Note that this field has a high number of missing values.
- description: A longer, more detailed description of the product.
Distribution
The dataset is provided in a single CSV file named
motorcycle_gears.csv
. It contains 958 rows and 10 columns of data.Usage
Ideal applications for this dataset include:
- Developing a recommender system to suggest relevant gears and accessories to customers.
- Creating a network graph to analyse the similarity between different products.
- Identifying the most and least expensive brands available.
- Optimising retail inventory based on product attributes.
- Performing market basket analysis and other retail analytics.
Coverage
This dataset is based on product listings from RevZilla.com, an online retailer based in Philadelphia, Pennsylvania. There is no specific geographic, temporal, or demographic scope beyond the product listings available from this single retail source.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: Can use this data to build and train recommendation systems or perform retail analytics.
- Retail Analysts: Can analyse pricing strategies, brand positioning, and product categorisation.
- E-commerce Businesses: Can gain insights into product descriptions, pricing, and catalogue structure for motorcycle accessories.
- Market Researchers: Can study the product landscape within the online motorcycle gear and accessories market.
Dataset Name Suggestions
- RevZilla Motorcycle Gear & Accessories Catalogue
- Motorcycle Parts & Accessories Retail Data
- Online Motorcycle Gear Product Listings
- RevZilla Retail Product Data
Attributes
Original Data Source:Motorcycle Parts & Accessories Retail Data