Public
Edited
Nov 9, 2024
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{
const dataset = d3.shuffle(d3.range(40, 200, 10)); // [40, 50, .... 190]のシャッフル
const width = 400;
const height = 100;
const svg = d3.create("svg").attr("width", width).attr("height", height);
const barPadding = 1; // barの間隔を指定

const rects = svg.selectAll("rect").data(dataset).join("rect");

rects
.attr("x", (d, i) => i * (width / dataset.length))
.attr("y", (d) => height - (d / d3.max(dataset)) * height)
.attr("width", width / dataset.length - barPadding)
.attr("height", (d) => (d / d3.max(dataset)) * height)
.attr("fill", (d) => `hsl(220, 50%, ${60 - (d / d3.max(dataset)) * 40}%)`);

return svg.node();
}
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d3.tsv(url)
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dataset = d3.tsv(url, d3.autoType)
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Inputs.table(dataset)
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svg = {
const width = 200;
const height = 200;
const svg = d3
.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("width", width)
.attr("height", height);

svg
.selectAll("circle")
.data(dataset)
.join("circle")
.attr("cx", (d) => d.x)
.attr("cy", (d) => d.y)
.attr("r", 2);

return svg.node();
}
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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.
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