topojson = require("topojson-client@3")
bostonjson = d3.json("https://gist.githubusercontent.com/cesandoval/09b2e39263c748fbcb84b927cecc7c46/raw/ab71d3638efd2545ec99c2651c6f2ddcea9d2a07/boston.json")
xScale = d3.scaleLinear()
.domain([0, d3.max(dataForGraph, d => d.value)])
.range([margin.left, width - margin.right]);
color = d3.scaleQuantize()
.domain([0, d3.max(csv311b, d => Math.log(d["tot_count \t\t\t"]))])
.range(d3.schemePurples[9]);
// Create GeoPath function that uses built-in D3 functionality to turn
// lat/lon coordinates into screen coordinates
path = d3.geoPath()
.projection( bosProjection );
height_map = 600
{
const neigh = {} //placeholder for data set
csv311b.forEach(d => (neigh[d.id] = Math.log(d["tot_count \t\t\t"])));
return neigh
}
{
let svg = d3.select(DOM.svg(width, height_map)); //make SVG
let g = svg.append("g");
let value = null;
const neigh = {} //placeholder for data set
csv311b.forEach(d => (neigh[d.id] = Math.log(d["tot_count \t\t\t"])));
const outline = svg.append("path")
.attr("fill", "none")
.attr("stroke", "red")
.attr("stroke-width", "3px")
.attr("stroke-linejoin", "round")
.attr("pointer-events", "none");
// Bind TopoJSON data to csv data
g.selectAll("path")
.data(topojson.feature(bostonjson, bostonjson.objects.boston_neigh).features) // bind TopoJSON data elements
.enter().append("path")
.attr("d", path)
.style("fill", d => color(neigh[d.properties.OBJECTID]))
.style("stroke", "white")
.on("click", d => {
const node = svg.node();
node.value = value = value === d.properties.OBJECTID ? null : d.properties.OBJECTID;
node.dispatchEvent(new CustomEvent("input"));
outline.attr("d", value ? path(d) : null);
});
svg.append("g")
.attr("transform", "translate(600,40)")
.call(legend);
return Object.assign(svg.node(), {value: null});
}
formattedName = {
if (neighborhoodToDisplay == undefined) {
return "All Neighborhoods";
} else {
let row = z.filter(r => r.id == neighborhoodToDisplay, csv311)[0];
return row.Name;
}
}
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.