Data Visualization Developer at The Associated Press
Public
Edited
Feb 7, 2024
world = await fetch("https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/world.geojson").then(d => d.json())
airports = await FileAttachment("World_Airports.csv").csv()
flights = await FileAttachment("2023_combined_flights@1.json").json()
finalData = flights.map(f => {
const deptInfo = airports.find(x => x.airport_ident === f.departure)
const deptLatitude = +deptInfo?.latitude_deg
const deptLongitude = +deptInfo?.longitude_deg
const deptCity = deptInfo?.municipality
const arrivalInfo = airports.find(x => x.airport_ident === f.arrival)
const arrivalLatitude = +arrivalInfo?.latitude_deg
const arrivalLongitude = +arrivalInfo?.longitude_deg
const arrivalCity = arrivalInfo?.municipality
return {...f, celeb: f.celeb.toLowerCase(), deptLatitude, deptLongitude, arrivalLatitude, arrivalLongitude, deptCity, arrivalCity }
} )
labels = [
{city: "Austin", lat:30.100941, lon: -97.672607 },
{city: "Nashville", lat: 36.12450027, lon: -86.67819977},
{city: "London", lat: 51.88499832, lon:0.234999999 },
{city: "Oakland", lat: 37.721298, lon: -122.221001}
]
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