Research scientist. I like maps, code and data visualisation. I keep an eye on anything that can fly, an ear for fipradio and a foot ready for next trail.
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Edited
Nov 3, 2023
11 stars
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disputes = FileAttachment("territorial-disputes.json").json()
land = fetch("https://unpkg.com/visionscarto-world-atlas@0.0.6/world/110m_countries.geojson").then(d => d.json())
projection = d3.geoBertin1953()
outline = ({type: "Sphere"})
// The max number of disputes per country
Math.max(...Object.values(disputePerCountry).map((x) => x.length))
defaultOpacity = (country) =>
0.3 + disputePerCountry[country.properties.iso_a3_eh]?.length / 18
isCountry = (d, country) => d.properties.name === country.properties.name
hasDispute = (d, country) =>
d.properties.countries?.includes(country.properties.iso_a3_eh)
mutable title="";
mutable explanation = ""
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.