E-Commerce Winter Jacket Data 2024

Dataset Overview

This dataset contains information on 2000 winter jackets scraped from eBay in 2024. The dataset is suitable for a variety of data science applications, including price prediction, product categorization, and sentiment analysis.

Data Science Applications

Price Prediction: The dataset can be used to build a model to predict the price of winter jackets based on their features, such as brand, material, and type.
Product Categorization: The dataset can be used to train a model to automatically categorize winter jackets into different types, such as "puffer jacket", "fleece jacket", and "down jacket".
Sentiment Analysis: The dataset can be used to analyze customer sentiment towards different brands and types of winter jackets.

Column Descriptors

The dataset contains the following columns:

title: The title of the product listing.
type: Categorical variable representing the type of winter jacket (e.g., "Parka", "Puffer", "Bomber", "Fleece").
priceWithCurrency: The price of the product in US dollars.
lastUpdated: The date and time when the product listing was last updated.
availableText: The availability status of the product (e.g., "in stock", "out of stock").
itemLocation: The location of the product (e.g., city, state, country).

Ethically Mined Data

The data in this dataset was ethically mined from eBay, using only publicly available data. The data was collected using the Apify API, which is a web scraping and automation platform that complies with ethical data collection practices.

Acknowledgements (Platforms)
eBay: The source of the product listings.
Apify: The web scraping and automation platform used to collect the data.
Imagen: Used to generate images for the dataset.