Uber and Lyft Ride Prices in Boston with Weather Data

A tabular dataset comparing Uber and Lyft ride prices in Boston, Massachusetts. The data likely contains price information and corresponding hourly weather summaries, including temperature and wind. It is published under a CC0 1.0 license on the OpenML platform.

Use Cases

• Predicting ride-hailing prices based on time of day.
• Analyzing the influence of weather conditions like temperature and wind on ride costs.
• Comparing pricing patterns between Uber and Lyft services in an urban area.

Strengths

• Includes weather data such as temperature and wind summaries for each hour, which is noted as a key feature.
• Described as beginner-friendly, suggesting a straightforward structure for learning.

Limitations

• Contains a lot of NA values, which may require significant data cleaning.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and last update date are unknown, which may limit suitability assessment.

Provenance

Source

OpenML platform.

Collection Method

Likely gathered from ride-hailing services and a weather API, though the specific method is not detailed.

Geography

Boston, Massachusetts, USA.