Spike mapBubble mapChoroplethD3 U.S. Map (Live Projection)Map Maker Dot Density: Cumulative Covid CasesFIPS County Code BrushCOVID-19 Cases by CountyCMU COVIDcast API: Map makerGeoJson BoilerplateMethods of Comparison, ComparedCOVID-19: Cumulative deaths per thousand (US Counties)ChoroplethCOVID-19 in the USSanders Donation 2020 County LevelTrump Donation 2020 County LevelBiden Donation 2020 County LevelUSA County Heat MapUS County Dot MapAncestry by U.S. CountyAncestry by US County MapTry to impeach this? Challenge accepted!Streaming ShapefilesHow well does population density predict U.S. voting outcomes?Bivariate choroplethB&W Choropleth
USA County Heat Map
extent = d3.extent([...data.values()])
// extent = [0, 10]
viewof palette = {
const form = html`<form><select name=i>${schemes.map(c => Object.assign(html`<option>`, {textContent: c.name}))}</select>`;
form.i.selectedIndex = 1;
form.oninput = () => form.value = schemes[form.i.selectedIndex].colors;
form.oninput();
return form;
}
palette
// viewof n = html`<select>
// <option value=256>continuous</option>${d3.range(11, 2, -1).map(n => `
// <option value=${n}>discrete (${n})</option>`)}
// </select>`
async function toDataURL(url) {
return new Promise(async(resolve, reject) => {
const res = await fetch(url);
if(!res.ok) return reject(`Error: ${res.status} ${res.statusText}`);
const blob = await res.blob();
const reader = new FileReader();
reader.readAsDataURL(blob);
reader.onloadend = () => resolve(reader.result);
});
}
font = await toDataURL('https://fonts.gstatic.com/s/pacifico/v12/FwZY7-Qmy14u9lezJ-6H6M-Bp0u-.woff')
// await toDataURL('https://fonts.gstatic.com/s/pacifico/v12/FwZY7-Qmy14u9lezJ-6H6M-Bp0u-.woff')
chart = {
const path = d3.geoPath()
const svg = d3.create("svg")
.attr("viewBox", "0 0 960 600")
.style("width", "100%")
.style("height", "auto")
.style("font-family", font)
svg.append("g")
.attr("transform", "translate(600,40)")
.call(legend);
svg.append("g")
.selectAll("path")
.data(topojson.feature(us, us.objects.counties).features)
.join("path")
.attr("fill", d => color(data.get(d.id)) != null ? color(data.get(d.id)) : "lightgrey")
.attr("d", path)
.append("title")
.text(d => `${d.properties.name}, ${states.get(d.id.slice(0, 2)).name}
${format(data.get(d.id))}`);
svg.append("path")
.datum(topojson.mesh(us, us.objects.states, (a, b) => a !== b))
.attr("fill", "none")
.attr("stroke", "white")
.attr("stroke-linejoin", "round")
.attr("d", path);
return svg.node();
}
legend = g => {
const x = d3.scaleLinear()
.domain(d3.extent(color.domain()))
.rangeRound([0, 260]);
g.selectAll("rect")
.data(color.range().map(d => color.invertExtent(d)))
.join("rect")
.attr("height", 8)
.attr("x", d => x(d[0]))
.attr("width", d => x(d[1]) - x(d[0]))
.attr("fill", d => color(d[0]));
g.append("text")
.attr("x", x.range()[0])
.attr("y", -6)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text("Unemployment Rate");
g.call(
d3.axisBottom(x)
.tickValues(getTickValues(color))
)
.select(".domain")
.remove();
}
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