Python (requests + numpy) was used to query SSB API v0 table 08507:

 

query = {

  "query": [

    {"code":"Lufthavn","selection":{"filter":"item","values":["ENGM"]}},

    {"code":"TrafikkFly","selection":{"filter":"item","values":["I"]}},

    {"code":"ContentsCode","selection":{"filter":"item","values":["Passasjerer"]}},

    {"code":"Tid","selection":{"filter":"item","values":["2009M01",...,"2024M12"]}}

  ],

  "response": {"format":"json-stat2"}

}

 

Result label: 08507: Air transport. Passengers, by airport, domestic/international flights, contents and month

N = 192

Mean mu = 832037.421875

Population sigma = 202007.88265600073

Population skewness gamma = mean(((x-mu)/sigma)^3) = -1.5065685010957022

Rounded (4 d.p.) = -1.5066