Introducing the BaSalam (comments & products) dataset: a treasure trove of insights into the vibrant online marketplace of BaSalam! πποΈ
Dive into two feature-packed files: BaSalam.products.csv and BaSalam.reviews.csv, showcasing a detailed inventory of products and a rich tapestry of customer interactions. ππ
BaSalam.products.csv Highlights π
Get a complete look at each product with information on:
Basic identifiers and metrics: _id, _score π
Sales performance: sales_count_week π
Detailed product descriptions: name, price, status_title π·οΈ
Stock and shipping nuances: stock, has_delivery, isFreeShipping, IsAvailable, IsSaleable π¦π
Visuals and media: photo_MEDIUM, photo_SMALL, video_ORIGINAL πΌοΈπ₯
Customer ratings and reviews: rating_average, rating_count, rating_signals β
Pricing and promotional details: primaryPrice, promotions πΈ
Extensive vendor profiles: vendor_name, vendor_score, vendor_status_title, and more π
Categorization and navigation: categoryId, new_categoryId, navigation_id, categoryTitle ποΈ
Additional attributes and miscellaneous details: mainAttribute, preparationDays, weight ππ οΈ
BaSalam.reviews.csv Highlights π
Explore comprehensive feedback with:
Review identifiers and timelines: _id, productId, createdAt, updatedAt π
User engagement metrics: user_id, name_of_user, photo_of_user π€
Interactive features: likeCount, dislikeCount, isLikedByCurrentUser, isDislikedByCurrentUser ππ
Rich review content: description, attachments, history_count βοΈπ
Detailed reasons for reviews through reason_ids array and variation_metadata π§
This dataset is not just dataβitβs 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. π―π
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! ππ‘