Public
Edited
Jan 5, 2024
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function color(d) {
const neutrals = ['lightgrey', 'grey', 'black']
const primary = [ '#C2E778', '#A8D555', '#6C9715']
const fillColor = (type, arr) => type === 'wages' ? arr[0] : type === 'retirement' ? arr[1] : arr[2]
return d.decile === selectedSegment ? fillColor(d.type, primary) : fillColor(d.type, neutrals)
}
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Select a data source…
Type Chart, then Shift-Enter. Ctrl-space for more options.

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fig3_data@3.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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chartData = incomeData.map(d => ({
income: format(d.wages + d.investments + d.retirement ),
CO2: format(d.CO2_wages + d.CO2_investments + d.CO2_retirement),
investments: format(d.investments),
retirement: format(d.retirement),
CO2_investments: format(d.CO2_investments),
CO2_retirement: format(d.CO2_retirement),
wages: format(d.wages),
CO2_wages: format(d.CO2_wages)
}) )
.sort((a, b) => a.income - b.income)
.filter(d => d.income > 0)
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format = (n) => +(n).toFixed(5)
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thresholds = d3.range(thresholdIncrement, 1 + thresholdIncrement, thresholdIncrement).map(d => +(d).toFixed(2))
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indeces = [0, ...thresholds.map(x => d3.quantileIndex(chartData.map(d => d.income), x))]
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sumData = {
const results = []
for (let i = 1; i < indeces.length; i++) {
const slice = chartData.slice(indeces[i - 1], indeces[i])
const sumInvest = d3.sum(slice, d => d.CO2_investments)
const sumRetirement = d3.sum(slice, d => d.CO2_retirement)
const sumWages = d3.sum(slice, d => d.CO2_wages)
results.push({decile: +(i * thresholdIncrement).toFixed(2), investments: sumInvest, retirement: sumRetirement, wages: sumWages })
}

return results
}
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mekkoData = {
const results = []
sumData.forEach(d => {
results.push([{decile: d.decile, type: 'investments', CO2: +d.investments.toFixed(5) },
{decile: d.decile, type: 'retirement', CO2: +d.retirement.toFixed(5) },
{decile: d.decile, type: 'wages', CO2: +d.wages.toFixed(5) } ])
})

return results.flat(2)
}
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function floor(n) {
const pct = Math.round(n * 100)
return pct % 2 === 0 ? n : +(n + .01).toFixed(2)
}
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floor(.17)
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percentile = (arr, val) => {
let count = 0;
arr.forEach(v => {
if (v < val) {
count++;
} else if (v == val) {
count += 0.5;
}
});
return 100 * count / arr.length;
}

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import {marimekko} from '@observablehq/plot-marimekko'
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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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