Flight delay and cancellation records for a five-year period. The raw description mentions approximately 29 million total rows. The dataset is hosted on Kaggle and is intended for analysis, visualization, and machine learning tasks.
Use Cases
- Forecasting flight delays based on historical time-series patterns mentioned in the description
- Analyzing seasonal trends in cancellations and delays over the 2019-2023 period
- Building classification models to predict cancellation likelihood using historical data
- Creating data visualizations to explore patterns in aviation operational performance
Strengths
- Covers a five-year time range from 2019 to 2023
- Approximately 29 million total rows as mentioned in the raw description
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Last update date is unknown; freshness unverified
- Row count is an approximate figure; exact data volume is unconfirmed
Provenance
- Source
- Kaggle
- Time Range
- 2019-2023