USA-Airport-Dataset
OpenML dataset with id 43479
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102304/USA-Airport-Dataset.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 15 (numeric: 10, symbolic: 0 and in total binary: 0 )
Number of instances: 3,606,803
Number of instances with missing values: 12,351
Number of missing values: 27,522
What is it ? This dataset is a record of 3.5 Million+ US Domestic Flights from 1990 to 2009. It has been taken from OpenFlights website which have a huge database of different travelling mediums across the globe. I came across this dataset while I was preparing for a hackathon and thought it should on kaggle's dataset list. What's in it ? Here is some info about the attributes present in the dataset:
Origin_airport: Three letter airport code of the origin airport Destination_airport: Three letter airport code of the destination airport Origin_city: Origin city name Destination_city: Destination city name Passengers: Number of passengers transported from origin to destination Seats: Number of seats available on flights from origin to destination Flights: Number of flights between origin and destination (multiple records for one month, many with flights 1) Distance: Distance (to nearest mile) flown between origin and destination Fly_date: The date (yyyymm) of flight Origin_population: Origin city's population as reported by US Census Destination_population: Destination city's population as reported by US Census
Where did you get it ? I would like to thank the original author of this dataset Jacob Perkins for putting such a good effort and collecting this data.
I will be updating this dataset for attributes that might reveal some more information about this dataset.
Thanks for stopping by.
Peace.
This page was built for dataset: USA-Airport-Dataset