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An amalgamation of 2 datasets have been used to generate the insights.
The main dataset has been sourced from Kaggle. Overall, the main dataset was nearly 7 GB in size with nearly 68 million rows.
An additional dataset with the metadata for Global Aiports has been fetched from Partow. Only relevant information will be provided for the latter due to lesser importance.
Fields Descripton
Airline Cancellation/Delay (2009-2018) dataset
Name
Description
Type(Format)
Example
FL_DATE
Date of the flight
DATE (yy/mm/dd)
2009-05-02
OP_CARRIER
Airline Identifier
STRING
9E
OP_CARRIER_FL_NUM
Flight Number
INTEGER
2216
ORIGIN
Starting Airport Code (IATA Code)
STRING
MLI
DEST
Destination Airport Code (IATA Code)
STRING
MEM
CRS_DEP_TIME
Planned Departure Time
INTEGER
600
DEP_TIME
Actual Departure Time
FLOAT
603.0
DEP_DELAY
Total Delay on Departure in minutes
FLOAT
3.0
TAXI_OUT
The time duration elapsed between departure from the origin airport gate and wheels off
FLOAT
14.0
WHEELS_OFF
The time point that the aircraft's wheels leave the ground
FLOAT
617.0
WHEELS_ON
The time point that the aircraft's wheels touch on the ground
FLOAT
757.0
TAXI_IN
The time duration elapsed between wheels-on and gate arrival at the destination airport
FLOAT
8.0
CRS_ARR_TIME
Planned arrival time
INTEGER
732
ARR_TIME
Actual Arrival Time
FLOAT
805.0
ARR_DELAY
Total Delay on Arrival in minutes
FLOAT
33.0
CANCELLED
Flight Cancelled (1 = cancelled)
FLOAT
0.0
CANCELLATION_CODE
Reason for Cancellation of flight: A - Airline/Carrier; B - Weather; C - National Air System; D - Security
STRING
D
DIVERTED
Aircraft landed on airport that out of schedule
FLOAT
0.0
CRS_ELAPSED_TIME
Planned time amount needed for the flight trip
FLOAT
92.0
ACTUAL_ELAPSED_TIME
AIR_TIME+TAXI_IN+TAXI_OUT
FLOAT
122.0
AIR_TIME
The time duration between wheels_off and wheels_on time