Here in my code I solved the following problems:

• How are the flights delays by Airlines/Airports/States/Routes?

• Which Airlines/Airports/States/Routes have the most delays? (In terms of the number and time span of delay)

• How many flights arrive on time or earlier?

• Can flight delays be accurately predicted with machine learning?

• How long is the most common delay, how is the time of delay distributed?

• Are there higher delays for airports situated closer to the Northeast of US?

• Merge the data with weather information

• With discrete features(Airline/Airport/Route...) and continuous features(Departure_Hour/_Date/_Latitude/_Longitude/_temperature/_wind...), applying Random Forest to predict the departure delay

• Flight routes visualization on a US map