# Introducing the BaSalam (comments & products) Dataset πŸŒπŸ›οΈ 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! πŸ“ŠπŸ“ ## BaSalam.products.csv Highlights 🌟 Get a complete look at each product with information on: - Basic identifiers and metrics: `_id`, `_score` πŸ†” - Sales performance: `sales_count_week` πŸ“ˆ - Detailed product descriptions: `name`, `price`, `status_title` 🏷️ - Stock and shipping nuances: `stock`, `has_delivery`, `isFreeShipping`, `IsAvailable`, `IsSaleable` πŸ“¦πŸšš - Visuals and media: `photo_MEDIUM`, `photo_SMALL`, `video_ORIGINAL` πŸ–ΌοΈπŸŽ₯ - Customer ratings and reviews: `rating_average`, `rating_count`, `rating_signals` ⭐ - Pricing and promotional details: `primaryPrice`, `promotions` πŸ’Έ - Extensive vendor profiles: `vendor_name`, `vendor_score`, `vendor_status_title`, and more πŸ” - Categorization and navigation: `categoryId`, `new_categoryId`, `navigation_id`, `categoryTitle` πŸ—‚οΈ - Additional attributes and miscellaneous details: `mainAttribute`, `preparationDays`, `weight` πŸ“πŸ› οΈ ## BaSalam.reviews.csv Highlights πŸ“˜ Explore comprehensive feedback with: - Review identifiers and timelines: `_id`, `productId`, `createdAt`, `updatedAt` πŸ“… - User engagement metrics: `user_id`, `name_of_user`, `photo_of_user` πŸ‘€ - Interactive features: `likeCount`, `dislikeCount`, `isLikedByCurrentUser`, `isDislikedByCurrentUser` πŸ‘πŸ‘Ž - Rich review content: `description`, `attachments`, `history_count` βœοΈπŸ“„ - Detailed reasons for reviews through `reason_ids` array and `variation_metadata` 🧐 This dataset is not just dataβ€”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. πŸŽ―πŸ” 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! πŸš€πŸ’‘ --- license: mit ---