Here in my code I solved the following problems:
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How are the flights delays by Airlines/Airports/States/Routes?
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Which Airlines/Airports/States/Routes have the most delays? (In terms of the number and time span of delay)
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How many flights arrive on time or earlier?
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Can flight delays be accurately predicted with machine learning?
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How long is the most common delay, how is the time of delay distributed?
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Are there higher delays for airports situated closer to the Northeast of US?
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Merge the data with weather information
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With discrete features(Airline/Airport/Route...) and continuous features(Departure_Hour/_Date/_Latitude/_Longitude/_temperature/_wind...), applying Random Forest to predict the departure delay
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Flight routes visualization on a US map