chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
for(const plotDataForLine of replicatedPlotDataForLines){
svg.append("path")
.datum(plotDataForLine)
.attr("fill", "none")
.attr("stroke", color)
.attr("stroke-width", 1.5)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.attr("d", line)
.attr("opacity", opacity);
}
return svg.node();
}
line = d3.line()
.x(d => x(d.x))
.y(d => y(d.y))
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0))
.call(g => g.append("text")
.attr("x", width)
.attr("y", margin.bottom - 4)
.attr("fill", "currentColor")
.attr("text-anchor", "end")
.text("Time (days) →"))
x = d3.scaleLinear()
.domain([0,d3.max(data.map(datum => datum['t']))])
.range([margin.left, width - margin.right])
yAxis = g => g
.attr("transform", `translate(${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("↑ Cumulative Survival"))
y = d3.scaleLinear()
.domain([-0.2, 1.2])
.range([height - margin.bottom, margin.top])
height = 500
Parameters
numReplicates = 1000
opacity = 0.025
data = d3.csvParse(await FileAttachment("understanding-survival-analysis.csv").text(), d3.autoType)
Helpers
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.
