/flightrank

Code behind the FlightRank website and the data mining that went into it

Primary LanguageJupyter NotebookMIT LicenseMIT

FlightRank  

This is an interactive visualization interface (exploratorium) for all the flights in the world, clustered by countries, cities, airlines and airports. We provide a bubbles visualization and a scatter-plot in a side-by-side layout for easy exploration of the data.

This is an interactive global visualization and exploration interface (exploratorium).

  • Data source was http://airportia.com
  • Flights for the first 2 weeks of April 2017 were scraped.
  • Data mining, processing and normalization done in python and pandas.
  • Country maps visualized in D3, such as this one.
  • Main app visualized in D3plus.

App

Try: http://aviation.csaladen.es

Documentation

Coming soon

Credit

Dénes Csala, 2017
http://csaladen.es