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francobollo
Applying GIS, Data Vis. and Deep Learning to environmental science and nuclear emergency responses
Public
Edited
Apr 3, 2024
Fork of Plot: Histogram
1
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Plot.plot({
y: { grid: true },
color: { legend: true },
marks: [
Plot.rectY(data, Plot.binX({ y: "count" }, { x: "flipper_length_mm" })),
Plot.ruleY([0])
]
})
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bin1 = d3.bin()
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bin1(data.map((d) => d.flipper_length_mm))
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mark = Plot.rectY(data, Plot.binX({ y: "count" }, { x: "flipper_length_mm" }))
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mark.plot()
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// A global var reflecting the values intercepted
mutable innerValues = null
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histInternal = (data) => {
const mark = Plot.rectY(
data,
Plot.binX({ y: "count" }, { x: "flipper_length_mm" })
);

// Intercepting the `mark.render` method
const _render = mark.render;
mark.render = function (index, scales, values) {
mutable innerValues = values;
console.log(values);
return _render.apply(this, arguments);
};

return mark.plot();
}
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histInternal(data)
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data = FileAttachment("penguins.csv").csv({typed: true})
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