D3 Scatterplot / Bryan Gin-ge Chen

Bryan Gin-ge Chen

here to learn

Workspace

Published

Edited

Jan 7, 2019

Importers

chart = {

const svg = d3.select(DOM.svg(width, height));

svg.append("g")

.call(xAxis);

svg.append("g")

.call(yAxis);

svg.append("g")

.attr("stroke", "steelblue")

.attr("stroke-width", 1.5)

.attr("fill", "none")

.selectAll("circle")

.data(data)

.enter().append("circle")

.attr("cx", d => x(d.x))

.attr("cy", d => y(d.y))

.attr("r", 2);

svg.append("g")

.attr("font-family", "sans-serif")

.attr("font-size", 10)

.selectAll("text")

.data(data)

.enter().append("text")

.attr("x", d => x(d.x))

.attr("y", d => y(d.y))

.text(d => d.name)

// .call(dodge);

return svg.node();

}

// function dodge(text, iterations = 300) {

// const nodes = text.nodes();

// const left = text => text.attr("text-anchor", "start").attr("dy", "0.32em");

// const right = text => text.attr("text-anchor", "end").attr("dy", "0.32em");

// const top = text => text.attr("text-anchor", "middle").attr("dy", "0.0em");

// const bottom = text => text.attr("text-anchor", "middle").attr("dy", "0.8em");

// const points = nodes.map(node => ({fx: +node.getAttribute("x"), fy: +node.getAttribute("y")}));

// const labels = points.map(({fx, fy}) => ({x: fx, y: fy}));

// const links = points.map((source, i) => ({source, target: labels[i]}));

// const simulation = d3.forceSimulation(points.concat(labels))

// .force("charge", d3.forceManyBody().distanceMax(80))

// .force("link", d3.forceLink(links).distance(4).iterations(4))

// .stop();

// for (let i = 0; i < iterations; ++i) simulation.tick();

// text

// .attr("x", (_, i) => labels[i].x)

// .attr("y", (_, i) => labels[i].y)

// .each(function(_, i) {

// const a = Math.atan2(labels[i].y - points[i].fy, labels[i].x - points[i].fx);

// d3.select(this).call(

// a > Math.PI / 4 && a <= Math.PI * 3 / 4 ? bottom

// : a > -Math.PI / 4 && a <= Math.PI / 4 ? left

// : a > -Math.PI * 3 / 4 && a <= Math.PI * 3 / 4 ? top

// : right);

// });

// }

height = 600

margin = ({top: 20, right: 30, bottom: 30, left: 40})

x = d3.scaleLinear()

.domain(d3.extent(data, d => d.x)).nice()

.range([margin.left, width - margin.right])

y = d3.scaleLinear()

.domain(d3.extent(data, d => d.y)).nice()

.range([height - margin.bottom, margin.top])

xAxis = g => g

.attr("transform", `translate(0,${height - margin.bottom})`)

.call(d3.axisBottom(x))

.call(g => g.select(".domain").remove())

.call(g => g.append("text")

.attr("x", width - margin.right)

.attr("y", -4)

.attr("fill", "#000")

.attr("font-weight", "bold")

.attr("text-anchor", "end")

.text(data.x))

yAxis = g => g

.attr("transform", `translate(${margin.left},0)`)

.call(d3.axisLeft(y))

.call(g => g.select(".domain").remove())

.call(g => g.select(".tick:last-of-type text").clone()

.attr("x", 4)

.attr("text-anchor", "start")

.attr("font-weight", "bold")

.text(data.y))

data = {

const mtcars = await require("@observablehq/mtcars");

const data = mtcars.map(({name, mpg: x, hp: y}) => ({name, x, y}));

data.x = "Miles per gallon";

data.y = "Horsepower";

return data;

}

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.

Learn more