Enhanced Product Dataset with Reviews
Group: Dataset
|Product Category: Database Design & Development
|Sub Category: PostgreSQL
About this Product
Understand customer sentiment, track product feedback, and drive intelligent merchandising with review-enriched product datasets.
Business Overview:
The Enhanced Product Dataset with Reviews integrates a rich product catalog with real customer feedback and behavioral data, offering a complete view of product performance across both supply and demand dimensions. This dataset is perfect for analysts, data scientists, and engineers working in e-commerce, consumer analytics, or product intelligence. It brings together structured inventory data and user-generated reviews to support deeper insights into product satisfaction, category trends, and customer sentiment — all within a PostgreSQL-compatible format.
Product Highlights:
- Includes 5 CSV files:
products.csv,subcategories.csv,categories.csv,reviews.csv, andusers.csv - Merges catalog structure with customer feedback for powerful sentiment and satisfaction analysis
- Fully documented with column-level data dictionaries across all tables
- Ideal for prototyping review-based recommendation systems and sentiment-driven dashboards
- Supports end-to-end SQL practice for analytics, data modeling, and ETL
Learning Outcomes:
By working with this dataset, you will:
- Analyze product reviews to identify satisfaction levels and quality trends
- Perform sentiment classification and category-level review aggregation
- Link user demographics with feedback behavior to uncover persona-based patterns
- Build customer review pipelines, scoring logic, and collaborative filtering models
- Simulate real-world SQL use cases involving
JOINs across product, user, and review tables
Resources
Contains detailed product-level data including identifiers, descriptions, pricing, stock levels, and subcategory associations.
This file supports inventory management, pricing analysis, and catalog optimization use cases.
Key Features:
- 965 product records with pricing and inventory
- Direct linkage to subcategories via foreign key
- Ideal for performing product segmentation, stock analysis, or listing operations
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