scale = d3
.scaleLinear()
.domain(d3.extent(zip_code, (d) => d.properties.percent))
.range([0, 17])
{
const container = html`<div">
<style>
div.tooltip {
position: fixed;
display: none;
padding: 12px 6px;
background: #fff;
border: 1px solid #333;
pointer-events: none;
}
</style>
</div>`;
const height = 900;
const path = d3
.geoPath()
.projection(
d3
.geoConicConformal()
.parallels([33, 45])
.rotate([96, -39])
.fitSize([width, height], zip_code_040114)
);
const svg = d3
.select(container)
.append("svg")
.attr("width", width)
.attr("height", height)
.style("background-color", "#fff")
.style("font", "10px sans-serif");
const div = svg.append("div").classed("tooltip", true);
const zipcodes = svg
.selectAll(".zips")
.data(zip_code)
.enter()
.append("path")
.style("fill", (d) => {
return "orange";
})
.attr("d", (d) => {
return path(d);
})
.style("stroke", "lightgrey")
.style("fill-opacity", 0.3)
.style("stroke-width", 0.7)
.style("stroke-opacity", 0.2);
const circle = svg
.selectAll("circle")
.data(zip_code)
.enter()
.append("circle")
.attr("transform", function (d) {
return "translate(" + path.centroid(d) + ")";
})
.attr("r", (d, i) => {
return scale(d.properties.percent);
})
.style("fill", "orange")
.on("mouseover", function (e, d) {
d3.select(this).style("fill", "red");
div
.style("top", e.clientY + "px")
.style("left", e.clientX + "px")
.style("display", "block");
})
.on("mouseout", function (e, d) {
d3.select(this).style("fill", "orange");
});
circle.append("title").text((d) => d.properties.ZIPCODE);
return container;
}
zip_code_040114 = FileAttachment("zip_code_040114-1.geojson").json()
zip_code = zip_code_040114.features
.map((d) => {
const zipcode = +d.properties.ZIPCODE;
const find = marshal_zips.find((i) => +i.evictionzip === zipcode);
d.properties.count = find?.count ?? 0;
d.properties.percent =
(d.properties.count / d.properties.POPULATION) * 1000;
return d;
})
.filter((d) => d.properties.percent < Infinity)
Type JavaScript, then Shift-Enter. Ctrl-space for more options. Arrow ↑/↓ to switch modes.
output@1.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
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.