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