Uber Eats Delivery Tips with Geographic Features

Real-world Uber Eats delivery data includes geographic features for analysis. The dataset is hosted on Kaggle, a platform for data science projects. Author, license, and specific data volume are not provided in the input.

Use Cases

• Predicting tip amounts based on geographic features mentioned in the description
• Analyzing regional tipping patterns for delivery services
• Building regression models for gig economy earnings
• Performing exploratory data analysis on food delivery transactions

Strengths

• Data is described as real-world, suggesting it reflects actual operational conditions.
• Includes geographic features, which can enable spatial analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Likely sourced from Uber Eats delivery operations, but specific collection method is unknown.