Overview
Dive into the cozy world of winter wear with our meticulously curated "❄️ 2024 Winter Jackets on AliExpress" dataset. This compact yet rich collection offers a glimpse into the diverse range of winter jackets available on AliExpress for the year 2024. From casual parkas to elegant coats, explore a variety of styles, deals, and popular choices among global shoppers.
Data Science Applications
Despite its modest size, this dataset is a goldmine for data enthusiasts keen on:
- Trend analysis to uncover popular winter jacket styles and features.
- Price analysis to identify pricing strategies and discount patterns.
- Consumer preference studies through ratings and wish list counts.
- Inventory management insights by analyzing available quantities.
Column Descriptors
title
: Description or name of the jacket listing.
tradeAmount
: Number of units sold, indicating popularity.
averageStar
: Average customer rating, reflecting satisfaction.
wishedCount
: Times added to wish lists, showing desirability.
quantity
: Available stock, providing a sense of supply.
AverageDiscountPrice
: Mean of discount prices across variants.
MinDiscountPrice
: Lowest discount price for variants.
MaxDiscountPrice
: Highest discount price for variants.
Ethically Mined Data
This dataset is compiled with a strong commitment to ethical data practices, utilizing only publicly available information. We ensure that all data is responsibly gathered, respecting user privacy and platform guidelines.
Acknowledgements
Gratitude is extended to AliExpress for being the source of this rich dataset, allowing us to delve into the fascinating world of e-commerce and consumer trends. A special thank you to Kaggle for providing a platform to share and explore data with a vibrant community of data science enthusiasts.
Image Acknowledgement
Acknowledgement is also due and appreciate the creative works available at Shutterstock that provide visual context to our dataset and enhance the understanding of AliExpress's diverse product offerings.
This dataset is designed for you to uncover insights, test hypotheses, and fuel your data science projects with real-world e-commerce data. Happy analyzing!