Published
Edited
Nov 16, 2020
3 forks
map = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, 975, 610]);
svg.append(legend)
.attr("transform", "translate(870,450)");
var countyMap = svg.append("g")
.selectAll("path")
.data(topojson.feature(us, us.objects.counties).features)
.join("path")
.attr("fill", d => color(data.get(d.id+" "+dateToString(date))))
.attr("d", path)
.append("title")
.text(d => `${d.properties.name}, ${states.get(d.id.slice(0, 2)).name}
${format(data.get(d.id+" "+ dateToString(date)))}`);
svg.append("path")
.datum(topojson.mesh(us, us.objects.states, (a, b) => a !== b))
.attr("fill", "none")
.attr("stroke", "white")
.attr("stroke-linejoin", "round")
.attr("d", path);
// Update the fill based on date scrubber
function update(date) {
countyMap.attr("fill", function(d) {
var fclass = data.get(d.id+" "+dateToString(date));
//console.log(d.id+" "+dateToString(date))
//console.log(fclass)
//console.log(data.get(d.id+" "+dateToString(date)))
//if (fclass) {
// var fcolor = color(fclass);
// } else {
// var fcolor = "#cccc";
// }
// return fcolor ;
});
}
//return svg.node();
return Object.assign(svg.node(), {update});
}
legend = () => {
const k = 24;
const arrow = DOM.uid();
return svg`<g font-family=sans-serif font-size=10>
<g transform="translate(-${k * n / 2},-${k * n / 2}) rotate(-45 ${k * n / 2},${k * n / 2})">
<marker id="${arrow.id}" markerHeight=10 markerWidth=10 refX=6 refY=3 orient=auto>
<path d="M0,0L9,3L0,6Z" />
</marker>
${d3.cross(d3.range(n), d3.range(n)).map(([i, j]) => svg`<rect width=${k} height=${k} x=${i * k} y=${(n - 1 - j) * k} fill=${colors[j * n + i]}>
<title>${data.title[0]}${ labelsRR[j]&&` (${labelsRR[j]})` }
${data.title[1]}${labels[i] && ` (${labels[i]})`}</title>
</rect>`)}
<line marker-end="${arrow}" x1=0 x2=${n * k} y1=${n * k} y2=${n * k} stroke=black stroke-width=1.5 />
<line marker-end="${arrow}" y2=0 y1=${n * k} stroke=black stroke-width=1.5 />
<text font-weight="bold" dy="0.71em" transform="rotate(90) translate(${n / 2 * k},6)" text-anchor="middle">${data.title[0]}</text>
<text font-weight="bold" dy="0.71em" transform="translate(${n / 2 * k},${n * k + 6})" text-anchor="middle">${data.title[1]}</text>
</g>
</g>`;
}
//counties = FileAttachment("us_states@1.json").json()
data = Object.assign(new Map(
await d3.csv("https://raw.githubusercontent.com/YuLan1014/Vis/master/biv14RR1_1001.csv", ({LOC_ID, date, REL_RISK, cc}) => [(LOC_ID+ " "+date), [+REL_RISK, +cc]])),
{title: ["Relative Risk", "#HighRiskCluster"]}
)
//number of days within the cluster
//https://raw.githubusercontent.com/YuLan1014/Vis/master/biv_1017.csv
//number of days within the cluster with the thresholde of 14 days (rr>0)
//https://raw.githubusercontent.com/YuLan1014/Vis/master/biv14_1001.csv
//number of days within the cluster with the thresholde of 14 days (rr>1)
//https://raw.githubusercontent.com/YuLan1014/Vis/master/biv14RR1_1001.csv
//test
//https://raw.githubusercontent.com/YuLan1014/Vis/master/test.csv
labels = ["lowest", "low","medium", "high"]
labelsRR= ["Group 1", "Group 2","Group 3", "Group 4"]
n = Math.floor(Math.sqrt(colors.length))
//x = d3.scaleLinear([0.053, 0.128,0.295 ,1000], d3.range(n))
x = d3.scaleQuantile(Array.from(data.values(), d => d[0]), d3.range(n))
//y = d3.scaleLinear([0.053, 0.128,0.295 ,1000], d3.range(n))
//y = d3.scaleQuantile(Array.from(data.values(), d => d[1]), d3.range(n))
y = d3.scaleQuantile([1,14], d3.range(n))
path = d3.geoPath()
color = {
return value => {
if (!value) return "#ccc";
let [a, b] = value;
return colors[y(b) + x(a) * n];
};
}
format = (value) => {
if (!value) return "N/A";
let [a, b] = value;
return `${data.title[0]} ${a} ${labelsRR[x(a)] && ` (${labelsRR[x(a)]})`}
${data.title[1]} ${b} ${labels[y(b)] && ` (${labels[y(b)]})`}`;
}
//clean.filter(d => d[1] === dates[dates.length-1]).map(d => d[2])
//d => d[1] === dates[dates.length-1]
schemes = [
{
name: "RdBu",
colors: [
"#D3CFE6", "#A5BEDB", "#76ADD0","#489CC5",
"#D0A2CE", "#A395C5", "#7588BA","#477AB1",
"#CD74B5", "#A06BAD", "#7361A4","#46589C",
"#CA479E", "#9E4196", "#713B8F","#453687"
]
},
{
name: "RdBu",
colors: [
"#D3CFE6", "#A5BEDB", "#76ADD0","#489CC5",
"#D0A2CE", "#A395C5", "#7588BA","#477AB1",
"#CD74B5", "#A06BAD", "#7361A4","#46589C",
"#CA479E", "#9E4196", "#713B8F","#453687"
]
}
]
//color = d3.scaleQuantile(d3.schemeRdPu[bins]).domain(clean.filter(d => d[1] === dates[dates.length-1]).map(d => d[2]));
//path = d3.geoPath().projection(projection);
//projection = d3.geoAlbersUsa().ranslate( [width/2, height/2] );
//states = new Map(us.objects.states.geometries.map(d => [d.id, d.properties]));
states = new Map(us.objects.states.geometries.map(d => [d.id, d.properties]));
us = FileAttachment("counties-albers-10m@9.json").json()
topojson = require("topojson-client@3")
d3 = require("d3@5")
//import {legend} from "@d3/color-legend"
function dateToString(date) {
var year = date.getFullYear();
var month = ("0" + (date.getMonth() + 1)).slice(-2);
var day = ("0" + date.getDate()).slice(-2);
return `${year}-${month}-${day}`;
}
md
`## References
1. Animated Map of COVID-19 Cases:
https://observablehq.com/@onoratod/animated-map-of-covid-19-cases
2. Bivariate Choropleth:
https://observablehq.com/@d3/bivariate-choropleth
`
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
