Freelance web app developer with a focus on data vis and science communication.
Public
Edited
Feb 1, 2024
raw = FileAttachment("world_100bin.csv").csv();
processed = raw.map(row => ({
country: row['country_code'],
year: parseInt(row['year'], 10),
reportingLevel: row['reporting_level'],
welfareType: row['welfare_type'],
percentile: parseInt(row['percentile'], 10),
avg: Number(row['avg_welfare']),
share: Number(row['welfare_share']),
quantile: Number(row['quantile'])
}));
selected = processed.filter(row => row.country === 'CAN')
Plot.plot({
marginBottom: 1,
marginLeft: 1,
color: {legend: true},
marks: [
Plot.frame(),
Plot.line(selected, {x: "percentile", y: "share", stroke: 'year'}),
Plot.axisX({ticks: [], label: null}),
Plot.axisY({ticks: [], label: null}),
]
});
years = selected.reduce((acc, row) => {
if (!acc.includes(row.year)) {
acc = [...acc, row.year]
}
return acc;
}, [])
Plot.plot({
marks: [
Plot.line(shareTop, {x: "year", y: "totalShareTop"}),
Plot.frame(),
Plot.ruleY([0]),
],
})
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