U.S. Flight Delays for January 2025 from BTS

Cleaned flight data from the U.S. Bureau of Transportation Statistics (BTS) for January 2025, selected for machine learning and analytics. The dataset's specific features, row count, and file formats are not detailed in the provided metadata. It originates from the Kaggle platform and focuses on U.S. domestic air travel.

Use Cases

• Predicting flight arrival and departure delays based on selected operational features.
• Analyzing temporal patterns in U.S. air traffic for January 2025.
• Training machine learning models for transportation logistics and planning.
• Conducting exploratory data analysis on factors contributing to flight disruptions.

Strengths

• Data is described as cleaned, which suggests preprocessing for analysis.
• Sourced from the authoritative U.S. Bureau of Transportation Statistics (BTS).
• Features are selected specifically for machine learning and analytics tasks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and last update date are unknown, limiting suitability assessment.
• Data may reflect temporal bias inherent to a single month (January 2025).

Provenance

Source

U.S. Bureau of Transportation Statistics (BTS)

Collection Method

Cleaned and selected from original BTS data, method unspecified.

Time Range

January 2025

Geography

United States