rawWorld = FileAttachment("countries-50m.json").json()
rawScholarData = FileAttachment("intl-scholars@2.csv").csv()
cleanedScholarData = rawScholarData
.map((d) => {
let newObj = {};
for (let prop in d) {
if (prop.substring(0, 1) == "2") {
newObj[prop] = parseFloat(d[prop]) ? parseFloat(d[prop]) : 0;
} else {
newObj[prop] = d[prop];
}
}
return newObj;
})
.filter((d) => d.entity == "country")
scholarWorldData = rawWorld.features.map((d) => ({
...d,
scholars: cleanedScholarData.find((e) => e.name == d.properties.SOVEREIGNT)
? cleanedScholarData.find((e) => e.name == d.properties.SOVEREIGNT)
: cleanedScholarData.find((e) => e.name == d.properties.NAME)
}))
scholarWorldData.filter((d) => !d.scholars).map((d) => d.properties.NAME)
margin = ({ top: 20, bottom: 100, sides: 20 })
worldProjection = d3
.geoEqualEarth()
.fitSize([width - margin.sides * 2, width / 2], worldOutline)
worldPath = d3.geoPath().projection(worldProjection)
worldOutline = d3.geoGraticule().outline()
graticules = d3.geoGraticule().step([15, 15])
colorScale = d3
.scaleLinear()
.domain(
d3.extent(scholarWorldData, (d) =>
d.scholars ? d.scholars[year] : 0
)
)
.range([0, 1])
//Inputs.select is a dropdown selection UI!
viewof year = Inputs.select(
Object.keys(scholarWorldData[0].scholars)
.filter((d) => d.substring(0, 1) == "2")
.filter((d) => d.split("-")[1] == "Scholars"),
{ value: "2019/20-Scholars" }
)
//find "Nigeria" in the list of countries, and get the user-selected year scholar count.
scholarWorldData.find((d) => d.properties.NAME == "Nigeria").scholars[year]
{
// create SVG artboard
const svg = d3
.create("svg")
.attr("width", width)
.attr("height", width / 2 + margin.bottom);
// create background color rectangle
svg
.append("rect")
.attr("width", width)
.attr("height", width / 2 + 100)
.attr("fill", "#f9f9fe");
// add group for holding everything
const countryGroup = svg
.append("g")
.attr("transform", "translate(" + margin.sides + " " + margin.top + ")");
// fill world outline for ocean coloring
countryGroup
.append("path")
.attr("d", worldPath(worldOutline))
.attr("fill", "#4488cc");
// draw countries with choropleth coloring
countryGroup
.selectAll(".countries")
.data(scholarWorldData)
.join("path")
.attr("d", worldPath)
.attr("class", "countries")
.attr("fill", (d) => {
if (d.scholars) {
return d3.interpolateViridis(colorScale(d.scholars[year]));
} else {
return "gray";
}
})
.attr("stroke", "white")
.attr("stroke-width", 0.5)
// attach event listeners
.on("mouseover", (e, d) => {
d3.select(e.target).transition().attr("stroke-width", 2);
d3.select("#dataHolder").text(
`${d.properties.NAME} had ${
d.scholars[year]
} international scholars in school year ${year.split("-")[0]}`
);
})
.on("mouseout", (e, d) => {
d3.select(e.target).transition().attr("stroke-width", 0.5);
d3.select("#dataHolder").text("Mouseover a country for details");
});
// add the graticule lines
countryGroup
.append("path")
.attr("d", worldPath(graticules()))
.attr("stroke", "#dcdcdc")
.attr("stroke-width", 0.5)
.attr("fill", "none");
// create area for text to be displayed
svg
.append("text")
.attr("x", width / 2)
.attr("y", width / 2 + margin.bottom / 2)
.attr("text-anchor", "middle")
.attr("dominant-baseline", "middle")
.attr("id", "dataHolder")
.attr("font-family", "Futura")
.text("Mouseover a country for details");
return svg.node();
}
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.