NyashaDuri / Data-Analysis-with-Pandas

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"SYS_FIELD_NAME"," FIELD_DESC",
"YEAR","Year",
"MONTH","Month",
"DAY_OF_MONTH","Day of Month",
"DAY_OF_WEEK","Day of Week",
"FL_DATE","Flight Date (yyyymmdd)",
"AIRLINE_ID","An identification number assigned by US DOT to identify a unique airline (carrier). A unique airline (carrier) is defined as one holding and reporting under the same DOT certificate regardless of its Code, Name, or holding company/corporation.",
"TAIL_NUM","Tail Number",
"ORIGIN","Origin Airport",
"ORIGIN_CITY_NAME","Origin Airport, City Name",
"ORIGIN_STATE_NM","Origin Airport, State Name",
"DEST","Destination Airport",
"DEST_CITY_NAME","Destination Airport, City Name",
"DEST_STATE_NM","Destination Airport, State Name",
"CRS_DEP_TIME","CRS Departure Time (local time: hhmm)",
"DEP_TIME","Actual Departure Time (local time: hhmm)",
"TAXI_OUT","Taxi Out Time, in Minutes",
"TAXI_IN","Taxi In Time, in Minutes",
"CRS_ARR_TIME","CRS Arrival Time (local time: hhmm)",
"ARR_TIME","Actual Arrival Time (local time: hhmm)",
"CANCELLED","Cancelled Flight Indicator (1=Yes)",
"DIVERTED","Diverted Flight Indicator (1=Yes)",
"CRS_ELAPSED_TIME","CRS Elapsed Time of Flight, in Minutes",
"ACTUAL_ELAPSED_TIME","Elapsed Time of Flight, in Minutes",
"AIR_TIME","Flight Time, in Minutes",
"DISTANCE","Distance between airports (miles)",

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