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Introducing the BaSalam (comments & products) Dataset 🌐🛍️
Dive into the BaSalam dataset, featuring two comprehensive files: BaSalam.products.csv and BaSalam.reviews.csv, offering insights into the vibrant online marketplace of BaSalam! 📊📝
BaSalam.products.csv Highlights 🌟
Get a complete look at each product with information on:
- Basic identifiers and metrics:
_id,_score🆔 - Sales performance:
sales_count_week📈 - Detailed product descriptions:
name,price,status_title🏷️ - Stock and shipping nuances:
stock,has_delivery,isFreeShipping,IsAvailable,IsSaleable📦🚚 - Visuals and media:
photo_MEDIUM,photo_SMALL,video_ORIGINAL🖼️🎥 - Customer ratings and reviews:
rating_average,rating_count,rating_signals⭐ - Pricing and promotional details:
primaryPrice,promotions💸 - Extensive vendor profiles:
vendor_name,vendor_score,vendor_status_title, and more 🔍 - Categorization and navigation:
categoryId,new_categoryId,navigation_id,categoryTitle🗂️ - Additional attributes and miscellaneous details:
mainAttribute,preparationDays,weight📏🛠️
BaSalam.reviews.csv Highlights 📘
Explore comprehensive feedback with:
- Review identifiers and timelines:
_id,productId,createdAt,updatedAt📅 - User engagement metrics:
user_id,name_of_user,photo_of_user👤 - Interactive features:
likeCount,dislikeCount,isLikedByCurrentUser,isDislikedByCurrentUser👍👎 - Rich review content:
description,attachments,history_count✍️📄 - Detailed reasons for reviews through
reason_idsarray andvariation_metadata🧐
This dataset is not just data—it’s a gateway to understanding the pulse of the BaSalam marketplace, providing a foundation for nuanced market analysis, sentiment exploration, and machine learning applications in e-commerce. 🎯🔍
Ready to analyze trends, gauge consumer sentiment, or examine product performance? The BaSalam dataset offers all the necessary tools and data for a thorough dive into e-commerce dynamics! 🚀💡
license: mit
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