data = {
const text = await FileAttachment("year_salary@1.csv").text();
const parseDate = d3.utcParse("%Y");
return d3.csvParse(text, ({StartYear, Mean, Count}) => ({
startYear: parseDate(StartYear),
mean: +Mean,
count: +Count
}));
}
x = d3.scaleUtc()
.domain(d3.extent(data, d => d.startYear))
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.mean)]).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(".tick:last-of-type text").clone()
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text(data.mean))
line = d3.line()
.defined(d => !isNaN(d.mean))
.x(d => x(d.startYear))
.y(d => y(d.mean))
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
console.log(regressionEndpoints)
svg.append("path")
.datum(regressionEndpoints)
.attr("fill", "none")
.attr("stroke", "deeppink")
.attr("stroke-width", 1)
.attr("stroke-linejoin", "round")
.attr("stroke-dasharray", "10 10")
.attr("stroke-linecap", "round")
.attr("d", d3.line()
.x(d => x(d.startYear))
.y(d => y(d.mean)));
svg.append("path")
.datum(data)
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 2)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.attr("d", line);
return svg.node();
}
regressionLine = ss.linearRegressionLine(ss.linearRegression(data.map(row => [+row.startYear, row.mean])))
regressionEndpoints = [
{ startYear: data[0].startYear, mean: regressionLine(+data[0].startYear) },
{ startYear: data[data.length - 1].startYear, mean: regressionLine(+data[data.length - 1].startYear) }
]
d3 = require("d3@5")
height = 500
margin = ({top: 20, right: 30, bottom: 30, left: 40})
ss = require('simple-statistics')
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.
