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Adidas E-commerce Product Data
E-commerce & Online Transactions
Tags and Keywords
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Free
About
This dataset provides insights into Adidas shoe stock levels and availability directly from the Adidas German webstore. It was gathered through ethical webscraping and offers a glimpse into daily product availability, helping users understand which models are most readily available. The data is updated daily and includes information on various shoe models, their pricing, categories, and stock across multiple sizes.
Columns
- name: The model name of the shoe.
- id: The SKU (Stock Keeping Unit) for the product.
- price: The price of the shoe, presented in EUR.
- category: Describes the style or type of the shoe.
- color: Indicates the shoe's colours; the first listed is the dominant one, followed by others it contains.
- best_for_wear: Suggests the ideal occasion or activity for wearing the shoe.
- size: Lists the available sizes in European, US, and UK formats.
- availability: Reflects the stock level, ranging from a minimum of 0 to a maximum of 15. It's noted that a large number of '15' values indicate maximum stock, possibly due to random restocks, and '0' indicates no stock.
- image_url: A direct link to a side-view image of the shoe.
- gender: Specifies the intended user's gender: 'U' for Unisex, 'W' for Woman, 'M' for Male, and 'K' for Kid.
- date: The date the data was collected, in dd/mm/yyyy format.
- country_code: The country associated with the data point, including US, DE (Germany), UK, and BE (Belgium).
Distribution
The dataset contains data for around 3400 shoes and includes 12 days of data, with daily updates. Each shoe entry typically includes multiple size and availability pairs. While Germany has data spanning multiple days, other listed countries have fewer days of data available.
Usage
This dataset is ideal for:
- Identifying popular shoe models based on their stock levels and observed sales patterns.
- Performing data visualisation to track availability trends.
- Conducting data cleaning exercises.
- Supporting analysis for e-commerce services, such as inventory management or product trend analysis.
Coverage
The data was collected from the German Adidas website. It covers shoes available in the US, Germany, the UK, and Belgium. The time range spans 12 days of daily updates, with data collection occurring during afternoon and late night hours. Demographic coverage includes Unisex, Woman, Male, and Kid shoe types. Germany has the most data points over the 12-day period, while other countries have fewer days of data.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: For exploring product availability, pricing strategies, and stock management.
- E-commerce Businesses: To gain insights into competitor stock levels and model popularity.
- Researchers: For academic studies on consumer behaviour in online retail or e-commerce trends.
- Students: As a practical dataset for learning data visualisation, cleaning, and analysis techniques.
Dataset Name Suggestions
- Adidas Online Shoe Availability
- Adidas Footwear Stock Data
- Daily Adidas Shoe Inventory
- Adidas E-commerce Product Data
Attributes
Original Data Source: Adidas E-commerce Product Data
QUALITY