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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_ids` array and `variation_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! 🚀💡
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license: mit
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