- Input #1 - Airports:
Source: http://ourairports.com/data/
Data Cleaning: Pandas
Filters
iso_country = US type = large_airport medium_airport small_airport
Columns:
id
ident
type
name
latitude_deg
longitude_deg
continent
iso_country
iso_region
municipality
iata_code
local_code
iso_state
- Input #2 - Zipcodes:
Columns:
Zip Code
Place Name
State
State Abbreviation
County
Latitude
Longitude
-
Run the Model on how to calculate nearest airports
-
Validate the model using google maps
Storytelling
State = California 558 airports 2590 zipcodes
State = NY 410 airports 2153 zipcodes
Out of 558 airports in