I would like to know more about Japan, such as visualizing the relationship and nodes of the First-Class Airports in Japan, and the city it located and the prefecture.

With the following cypher query, my curiosity can be fulfilled.

MATCH (p:Prefecture)<-[:IN]-(c1:City)-[:HAS]->(a:Airport)-[:IS]->(c2:Classification)
WHERE c2.name = 'First-class'
RETURN p, c1, a, c2

Setup database

Convert the table in the List of airports in Japan in Wikipedia to json, and import them to the neo4j database.

The airport node should contain the name, ICAO, IATA, node properties and link to the municipality (city), a new node with the label Classification (First-class, Second-class, Third-class, Other, Military).

So we use axios to fetch the data, and the code should be like this:

const createAirports = async (ctx) => {
  const url = `https://www.wikitable2json.com/api/List_of_airports_in_Japan?table=0&keyRows=1`
  const { data } = await axios.get(url)

  const airports = data[0].map((airport) => {
    const object = airport;
    object.cities = object.Municipality.split(' / ')
    object.name = object['Airport name']
    object.classification = object['Classification']
    object.prefecture = object['Prefecture'].split(' / ')
    return object;
  })

  const result = await ctx.session.run(geography.createAirports, { airports })

  logger.info(`Airports created`)
  return data
}

And we can use the following cypher to create the airport node, relate the airport to the city:

UNWIND $airports as airport
MERGE (a:Airport{name: airport.name})
SET a.ICAO = airport.ICAO,
    a.IATA = airport.IATA

WITH a, airport
MERGE (c1:Classification{name: airport.classification})
MERGE (a)-[:IS]->(c1)

WITH a, airport
UNWIND airport.cities as city
UNWIND airport.prefecture as prefecture
MATCH (c2:City{en: city})-[:IN]->(p:Prefecture)
WHERE p.en = toLower(prefecture)
MERGE (c2)-[:HAS]->(a)

The source code is available in calpa - japan - Github.

Reference

1. calpa - japan - Github
2. List of airports in Japan