Software Engineer
Published
Edited
Apr 16, 2020
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
const defs= svg.append("defs")
svg.append("path")
.datum(data)
.attr("fill", "url(#mask)")
.attr("d", area)
const mask = defs.append("pattern").attr("id", "mask").attr("x", 0)
.attr("y", 0) .attr("width",1)
.attr("height", 1) .attr("patternUnits", 'objectBoundingBox')
mask.append("rect")
.attr("x", 0)
.attr("y", 0)
.attr("width", 760)
.attr("height", 250)
.attr("fill", "red")
.attr("stroke", "white")
mask.append("rect")
.attr("x",0)
.attr("y", 250)
.attr("width", 760)
.attr("height", 250)
.attr("fill", "green")
.attr("stroke", "white")
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
return svg.node();
}
height = 500
margin = ({top: 20, right: 20, bottom: 30, left: 30})
x = d3.scaleUtc()
.domain(d3.extent(data, d => new Date(d.date)))
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.value)]).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0))
yAxis = g => g
.attr("transform", `translate(${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", 3)
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text(data.y))
area = d3.area()
.curve(curve)
.x(d => x(d.date))
.y0(y(0))
.y1(d => y(d.value))
curve = d3.curveLinear
data = Object.assign((d3.csvParse(await FileAttachment("aapl.csv").text(), d3.autoType)).map(({date, close}) => ({date, value: close})), {y: "$ Close"})
d3 = require("d3@^5.9")
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.
