chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.attr("fill", color)
.selectAll("rect")
.data(bins)
.join("rect")
.attr("x", d => x(d.x0) + 1)
.attr("width", d => Math.max(0, x(d.x1) - x(d.x0) - 1))
.attr("y", d => y(d.length))
.attr("height", d => y(0) - y(d.length));
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
return svg.node();
}
FileAttachment("Assignment 3a_sparql.txt").text()
data = Object.assign(d3.csvParse(await FileAttachment("Assignment 3a - Sheet1.csv").text(), ({DateStart}) => +DateStart), {x: "DateStart", y: "Aperson"})
bins = d3.bin().thresholds(40)(data)
x = d3.scaleLinear()
.domain([bins[0].x0, bins[bins.length - 1].x1])
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(bins, d => d.length)]).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80 ).tickSizeOuter(0))
.call(g => g.append("text")
.attr("x", width - margin.right)
.attr("y", -4)
.attr("fill", "currentColor")
.attr("font-weight", "bold")
.attr("text-anchor", "end")
.text(data.x))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(height / 40))
.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))
color = "steelblue"
height = 500
margin = ({top: 20, right: 20, bottom: 30, left: 40})
d3 = require("d3@^6.2.0")
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.
