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UK Amazon Product

Retail & Consumer Behavior

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Amazon

Ecommerce

Product Analytics

Consumer Trends

Machine Learning

Market Research

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UK Amazon Product Dataset on Opendatabay data marketplace

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Free

About

This dataset provides information about products listed on Amazon, including their details, ratings, and sales performance. The dataset is valuable for understanding consumer preferences, product trends, and marketing effectiveness within the e-commerce domain.

Dataset Features

  • AD_ID: Unique identifier for each product listing.
  • asin: Amazon Standard Identification Number, a unique product identifier.
  • title: The title or name of the product.
  • imgUrl: URL linking to the product image.
  • productURL: URL linking to the product's Amazon page.
  • stars: Average product rating based on customer reviews.
  • reviews: Total number of customer reviews for the product.
  • price: Price of the product in GBP (£).
  • isBestSeller: Boolean indicating whether the product is a bestseller (TRUE/FALSE).
  • boughtInLastMonth: Number of units purchased in the last month.
  • categoryName: Product category, e.g., Hi-Fi Speakers.

Distribution

  • Data Volume: Contains 1048575 rows and 11 columns in the provided sample.
  • Format: Tabular structure with structured data fields.

Usage

This dataset is ideal for a variety of applications:
  • E-commerce Analysis: Analyzing product trends, customer preferences, and performance metrics.
  • Market Research: Studying consumer behavior and identifying high-performing products.
  • Recommendation Systems: Training machine learning models to suggest similar products.
  • Price Optimization: Evaluating pricing strategies based on ratings, reviews, and sales performance.

Coverage

  • Geographic Coverage: Primarily focuses on products available in the UK.
  • Time Range: Represents product details as of a specific snapshot in time (not specified).
  • Demographics: Not applicable, as the dataset focuses on product attributes and sales ddata.

License

CC0

Who Can Use It

  • Data Scientists: To develop recommendation engines or pricing optimization models.
  • Researchers: To study consumer preferences and product performance in e-commerce.
  • Businesses: To analyze market trends and improve inventory or marketing strategies.

Listing Stats

VIEWS

18

DOWNLOADS

4

LISTED

24/01/2025

REGION

EUROPE

UDQSSQUALITY

5 / 5

VERSION

1.0

Free