Indian Laptop Listings with Engineered Hardware and Wear Indices

7,801 consumer-to-consumer laptop listings from India. The dataset includes engineered indices for hardware specifications and wear, likely sourced from online marketplaces. The author, platform, and last update details are unknown.

Use Cases

• Predict laptop resale value based on engineered hardware indices mentioned in the description.
• Identify pricing arbitrage opportunities across the Indian C2C market based on listing data.
• Analyze the relationship between device wear indices and listing prices.
• Build a recommendation system for buyers or sellers based on hardware specifications and market trends.

Strengths

• 7,801 individual listings provide a substantial sample for analysis.
• Includes engineered indices for hardware and wear, suggesting derived features beyond raw listings.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and source bias inherent to its Kaggle and C2C marketplace origins.

Provenance

Source

Kaggle

Collection Method

Likely scraped or aggregated from Indian consumer-to-consumer online marketplaces.

Geography

India