Used to work on @observablehq — still think it rocks.
🏍 🌎 👶
Published
Edited
Jul 15, 2020
Importers
42 stars
{
const c = `rgb(255, 255, 255, 0.5)`;
return html`<style>
form output {
font-weight: bold;
font-size: 14px;
}
.wrapper {
text-align: center;
}
.map {
text-anchor: middle;
font-family: sans-serif;
font-size: 10px;
margin: 0 auto;
}
.subunit {
fill: #f4f4f4;
stroke: #999;
stroke-width: 0.5;
}
.place {
fill: rgba(0,0,0,0.8);
stroke: none;
pointer-events: none;
}
.place-label {
pointer-events: none;
text-shadow: ${c} 1px 0px 0px, ${c} 0.540302px 0.841471px 0px, ${c} -0.416147px 0.909297px 0px, ${c} -0.989992px 0.14112px 0px, ${c} -0.653644px -0.756802px 0px, ${c} 0.283662px -0.958924px 0px, ${c} 0.96017px -0.279415px 0px;
}
.place-label, .legend-title {
font-weight: bold;
font-size: 12px;
fill: rgba(0,0,0,0.8);
}
.bubble, .legend-bubble {
stroke-width: 0.8;
stroke: rgba(0,0,0,0.3)
}
.bubble:hover {
stroke: rgba(0,0,0,0.6);
stroke-width: 1.2;
cursor: crosshair;
}
.legend text {
fill: #000;
}
.legend-bubble {
stroke: rgba(0,0,0,0.4);
}
.legend-title {
text-anchor: start;
}
</style>`;
}
legendRadii = [10, 1000, 10000, 50000]
function placeName(d) {
if (d.county === "New York City") return "New York City";
const loc = getLocation(d);
return `${loc.properties.name} ${
d.state === "Louisiana" ? "Parish" : "County"
}`;
}
function getLocation(d) {
let location = countyMap.get(d.fips);
if (!location && d.county === "New York City")
location = countyMap.get("36061");
if (!location) location = stateMap.get(d.state);
if (!location) console.warn("No location found for: " + JSON.stringify(d));
return location;
}
map.update(index)
w = 975
h = 610
albersProjection = {
// XXX super hacky
const proj = d3.geoAlbersUsa().scale(1300);
return function(coords) {
const [x, y] = proj(coords);
return [x + 6, y + 54];
};
}
magnitude = toMagnitude(maxCases)
countyMap = new Map(
topojson.feature(us, us.objects.counties).features.map(d => [d.id, d])
)
stateMap = new Map(
topojson
.feature(us, us.objects.states)
.features.map(d => [d.properties.name, d])
)
function toMagnitude(n) {
var order = Math.floor(Math.log(n) / Math.LN10 + 0.000000001);
return Math.pow(10, order);
}
mutable index = 0
{
mutable index = dates.indexOf(day);
}
radius = d3
.scaleSqrt()
.domain([0, maxCases])
.range([0, maxRadius])
colorScale = d3
.scaleSqrt()
.domain([0, maxCases])
.range([`hsla(57, 100%, 50%, 0.36)`, `hsla(7, 100%, 50%, 0.57)`])
delay = 250
maxCases = d3.max(recentData.map(d => +d.cases))
excludeTerritories = new Set(["Guam", "Puerto Rico", "Virgin Islands"])
data = d3
.nest()
.key(d => d.date)
.entries(rawData.filter(d => !excludeTerritories.has(d.state)))
.map(d => d.values)
.filter(d => d[0].date >= startDate)
rawData = d3.csv("https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-counties.csv")
path = d3.geoPath()
maxRadius = 50
recentData = data[data.length - 1]
startDate = "2020-03-01"
dates = data.map(d => d[0].date).map(d => new Date(`${d}T20:00Z`))
places = d3.csvParse(await FileAttachment("us-places.csv").text())
sFormat = d3.format(".1s")
numFormat = d3.format("~s")
us = FileAttachment("counties-albers-10m.json").json()
import { Scrubber } from "@mbostock/scrubber"
topojson = require("topojson-client@3")
d3 = require("d3@5")
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.