Published
Edited
Jun 26, 2019
chart = {
// const svg = d3.create("svg")
// .attr("viewBox", [0, 0, width, height]);
// svg.append("g")
// .call(xAxis);
// svg.append("g")
// .call(yAxis);
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
// svg.append("g")
// .attr("stroke-width", 1.5)
// .attr("font-family", "sans-serif")
// .attr("font-size", 10)
// .selectAll("g")
// .data(data)
// .join("g")
// .attr("transform", d => `translate(${x(d.x)},${y(d.y)})`)
// .call(g => g.append("circle")
// .attr("stroke", "steelblue")
// .attr("fill", "none")
// .attr("r", 3))
// .call(g => g.append("text")
// .attr("dy", "0.35em")
// .attr("x", 7)
// .text(d => d.name));
// return svg.node();
svg.append("g")
.attr("stroke-width", 1.5)
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.selectAll("g")
.data(data)
.join("g")
.attr("transform", function(d){ return `translate(${x(d.x)}, ${y(d.y)})`})
.call(g => g.append("circle")
.attr("stroke", "steelblue")
.attr("fill", "orange")
.attr("r",3))
.call(g => g.append("text")
.attr("dy", ".35em")
.attr("x", 7)
.text(d => d.name));
return svg.node();
}
height = 600
margin = ({top: 20, right: 30, bottom: 30, left: 40})
x = d3.scaleLinear()
.domain(d3.extent(data, d => d.x)).nice()
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain(d3.extent(data, d => d.y)).nice()
.range([height - margin.bottom, margin.top])
// xAxis = g => g
// .attr("transform", `translate(0,${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))
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))
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 = Object.assign(await d3.csv("https://gist.githubusercontent.com/mbostock/77a98cd519be20ea1f8e33bbd3617ac2/raw/574433e95e983b288a54f4d2217cb39d1557cd8d/mtcars.csv", ({name, mpg: x, hp: y}) => ({name, x: +x, y: +y})), {x: "Miles per gallon", y: "Horsepower"})
d3 = require("d3@5")
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.
