NYC Taxi Trips Integrated with Weather Data, 2024

40 million New York City taxi trips from 2024, integrated with NOAA weather data. The data is structured in a star schema, which is a common design for analytical databases. The dataset was sourced from Kaggle, but the specific author, organization, and license are unknown.

Use Cases

• Predict taxi demand based on weather conditions mentioned in the description
• Analyze trip patterns and trends for 2024 based on the 40 million trip records
• Build a data warehouse fact table using the star schema structure indicated in the title
• Model the relationship between weather events and taxi trip duration or distance

Strengths

• Contains 40 million trip records, indicating a large-scale dataset
• Integrated with external NOAA weather data, adding a key analytical dimension
• Uses a star schema, which suggests a structure optimized for analytical queries

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count for the integrated weather data is unknown
• License, author, and last update date are unknown

Provenance

Source

Kaggle

Collection Method

Integrated from taxi trip and NOAA weather sources; specific method unknown.

Time Range

2024

Geography

New York City, USA