Context

This dataset provides U.S. monthly airline traffic from 2003 to 2023, including number of passengers, number of flights, revenue passenger-miles (RPM), available seat-miles (ASM) and load factor.

Inspiration

Time series analysis is a statistical method used to analyse data points collected or recorded at specific time intervals. This method can reveal trends, patterns and other significant information from the data as it evolves over time.

In the context of airline traffic data, time series analysis can be used to predict future air passenger numbers based on historical data, which can help with capacity planning, pricing strategies and other business decisions.

Possible Explorations

• Determine the month with the highest and lowest travel frequency.
• Detect seasonal trends or patterns in air traffic.
• Predict future trends in air traffic.
• Analyze the impact of COVID-19 on the aviation industry.

Acknowledgements

The data were publicly visible and published by the U.S. Department of Transportation’s (DOT) Bureau of Transportation Statistics.