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Adidas Nike Product Insights
Retail & Consumer Behavior
Tags and Keywords
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Free
About
This dataset offers a detailed comparison of product information for Adidas and Nike, two prominent companies in the sports industry. It provides valuable insight into their product offerings, serving as a resource for market analysis. The dataset comprises 3,268 product entries, featuring 12 distinct attributes such as customer ratings, discount percentages, sales prices, listed prices, product descriptions, and the number of reviews [1]. This collection of data is particularly useful for competitive research within the sports market [1].
Columns
The dataset includes the following 12 features:
- Product Name: The name assigned to the product, with 1,531 unique values [2].
- Product ID: A unique identifier for each product, with 3,179 unique IDs [2].
- Listing Price: The original price at which the product was listed. Prices range from 0.00 to 29999.00, with a mean of 6.87k and a standard deviation of 4.72k. The minimum listed price is 0, and the maximum is 30.0k [2, 3].
- Sale Price: The price at which the product was sold. Sale prices range from 449.00 to 36500.00, with a mean of 6.13k and a standard deviation of 4.29k. The minimum sale price is 449, and the maximum is 36.5k [3, 4].
- Discount: The percentage discount applied to the product. Discounts range from 0.00 to 60.00, with a mean of 26.9 and a standard deviation of 22.6. The minimum discount is 0, and the maximum is 60 [4, 5].
- Brand: Specifies the brand of the product. The dataset includes "Adidas CORE / NEO" (34%), "Adidas ORIGINALS" (28%), and other brands (38%), totalling 5 unique brand values [5].
- Description: A textual description of the product, with 1,763 unique descriptions. Three product entries are missing a description [5].
- Rating: The average rating given to the product by users, on a scale of 0 to 5. The mean rating is 3.24, with a standard deviation of 1.43. The minimum rating is 0, and the maximum is 5 [6].
- Reviews: The total number of reviews provided for the product. The number of reviews ranges from 0 to 223, with a mean of 40.6 and a standard deviation of 31.5. The minimum number of reviews is 0, and the maximum is 223 [6, 7].
- Last Visited: The date of the last customer visit to the product page. All valid entries show a last visit date of 13th April 2020 [7].
- Product URL: (Implicit in source content, but not explicitly detailed in column list beyond "12 features" [1])
- Product Image URL: (Implicit in source content, but not explicitly detailed in column list beyond "12 features" [1])
Distribution
The dataset contains 3,268 product records [1]. While the specific file format is not explicitly stated, it is referenced as
Adidas Vs Nike.csv [2], indicating a CSV (Comma Separated Values) format. All 3,268 records are valid across most key features like Product Name, Product ID, Listing Price, Sale Price, Discount, Brand, Rating, Reviews, and Last Visited, ensuring a robust set for analysis [2-7].Usage
This dataset is ideal for various analytical tasks, including:
- Competitive analysis between Nike and Adidas [1, 8].
- Clustering products based on different factors [8].
- Exploratory Data Analysis (EDA) on product characteristics [8].
- Understanding pricing strategies and discount effectiveness for sports products [1].
- Analysing customer feedback through ratings and review counts [1].
Coverage
The dataset covers product information for Adidas and Nike, two global sports industry leaders [1]. The data appears to be a snapshot of product information, with the "Last Visited" date consistently recorded as 13th April 2020 for all entries [7]. There is no explicit mention of geographic or demographic scope, though the brands' global presence implies a wide market relevance.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Data analysts and data scientists performing competitive research and market segmentation.
- Businesses in the retail and sports industries looking to understand competitor strategies.
- Students and academics conducting research on consumer behaviour, pricing, or brand analysis.
- Market researchers interested in product performance metrics like ratings and discounts.
- Anyone requiring product data for Adidas and Nike to identify trends or insights [1].
Dataset Name Suggestions
- Adidas Nike Product Insights
- Sports Brand Product Data
- Retail Product Comparison
- Adidas vs Nike Product Metrics
Attributes
Original Data Source: Adidas Nike Product Insights
QUALITY