Details Data For this project we are going to be using a set of data that representing flight data from 1990-2009. The complete set of data has over 3.5 million records. We will only be using parts of it for our testing for the sake of time. However, if you can write a successful project for the smaller data set it should work for the complete data set. Ill post a link to the complete data set at the end for anyone that is interested in it. The data has 11 fields that are described here: 1. Origin string - 3 letter airport code 2. Destination- string- 3 letter airport code . Origin City-string-origin city name 4. Destination City - string - destination city name 5. Passengers-integer-the number of passengers on the flight 6. Seats-integer-the number of seats available on the flight 7. Flights-integer - the number of flights between the origin and destination for the given month/year combination 8. Distance- integer - distance (to the nearest mile) flown between the origin and destination 9. Fly Date - integer - The date (yyyymm) of flight 10. Origin Population - integer - Origin citys population as reported by U.S. Census 11. Destination Population - integer - Destination citys population as reported by U.S. Census

Details Data For this project we are going to be using a set of data that representing flight data from 1990-2009. The complete set of data has over 3.5 million records. We will only be using parts of it for our testing for the sake of time. However, if you can write a successful project for the smaller data set it should work for the complete data set. I’ll post a link to the complete data set at the end for anyone that is interested in it. The data has 11 fields that are described here: 1. Origin string – 3 letter airport code 2. Destination- string- 3 letter airport code . Origin City-string-origin city name 4. Destination City – string – destination city name 5. Passengers-integer-the number of passengers on the flight 6. Seats-integer-the number of seats available on the flight 7. Flights-integer – the number of flights between the origin and destination for the given month/year combination 8. Distance- integer – distance (to the nearest mile) flown between the origin and destination 9. Fly Date – integer – The date (yyyymm) of flight 10. Origin Population – integer – Origin city’s population as reported by U.S. Census 11. Destination Population – integer – Destination city’s population as reported by U.S. Census Show transcribed image text Details Data For this project we are going to be using a set of data that representing flight data from 1990-2009. The complete set of data has over 3.5 million records. We will only be using parts of it for our testing for the sake of time. However, if you can write a successful project for the smaller data set it should work for the complete data set. I’ll post a link to the complete data set at the end for anyone that is interested in it. The data has 11 fields that are described here: 1. Origin string – 3 letter airport code 2. Destination- string- 3 letter airport code . Origin City-string-origin city name 4. Destination City – string – destination city name 5. Passengers-integer-the number of passengers on the flight 6. Seats-integer-the number of seats available on the flight 7. Flights-integer – the number of flights between the origin and destination for the given month/year combination 8. Distance- integer – distance (to the nearest mile) flown between the origin and destination 9. Fly Date – integer – The date (yyyymm) of flight 10. Origin Population – integer – Origin city’s population as reported by U.S. Census 11. Destination Population – integer – Destination city’s population as reported by U.S. Census