flights: Flights data
In byuidatascience/data4python4ds: What the Package Does (One Line, Title Case)

Description Usage Format Source Examples

On-time data for all flights that departed NYC (i.e. JFK, LGA or EWR) in 2013.

flights

A data frame with columns:

year: The variable is integer. Year of departure
month: The variable is integer. Month of departure
day: The variable is integer. Day of departure
dep_time: The variable is integer. Actual departure time (format HHMM or HMM), local tz.
sched_dep_time: The variable is integer. Scheduled departure time (format HHMM or HMM), local tz.
dep_delay: The variable is numeric. Departure delay, in minutes. Negative times represent early departures.
arr_time: The variable is integer. Actual arrival times (format HHMM or HMM), local tz.
sched_arr_time: The variable is integer. Scheduled arrival time (format HHMM or HMM), local tz.
arr_delay: The variable is numeric. Arrival delays, in minutes. Negative times represent early arrivals.
carrier: The variable is character. Two letter carrier abbreviation. See airlines in nycflights13 R package to get names.
flight: The variable is integer. Flight number.
tailnum: The variable is character. Plane tail number. See planes in nycflights13 R package for additional metadata.
origin: The variable is character. Origin. See airports in nycflights13 R package for additional metadata.
dest: The variable is character. Destination. See airports in nycflights13 R package for additional metadata.
air_time: The variable is numeric. Amount of time spent in the air, in minutes.
distance: The variable is numeric. Distance between airports, in miles.
hour: The variable is numeric. Time of scheduled departure broken into hour and minutes.
minute: The variable is numeric. Time of scheduled departure broken into hour and minutes.
time_hour: The variable is POSIXct,POSIXt. Scheduled date and hour of the flight as a POSIXct date. Along with origin, can be used to join flights data to weather data.