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Analysis of so6 air traffic file

Analysis of air traffic files (so6 format) with Python/pandas

The notebook shows how to load the traffic file as a pandas dataframe, and how to rapidly get:

  • the number of flights in the so6 file
  • the number of segments per flight
  • the length of flights & the longest flight
  • the top 10 aircraft types used
  • the top 5 origin & destination airports
  • the number of flights from one airport to another
  • the most frequent city pairs
  • the possible destinations from a given airport

Built With

  • pandas - Python Data Analysis Library

Authors

  • Thomas Dubot

License

This project is licensed under the MIT License - see the LICENSE.md file for details