Freelance web app developer with a focus on data vis and science communication.
Public
Edited
Jan 16, 2024
raw = FileAttachment("inequality-of-incomes-before-and-after-taxes-and-transfers-scatter.csv").csv()
countryYears = raw.map(row => ({
year: parseInt(row['Year']),
entity: row['Entity'],
code: row['Code'],
beforeTax: Number(row['Gini coefficient (disposable income, post taxes and transfers)']),
afterTax: Number(row['Gini coefficient (market income, before taxes and transfers)']),
pop: Number(row['Population (historical estimates)']),
continent: row['Continent']
}));
uniqueCountries = countryYears.reduce((acc, row) => {
const { entity, code, continent } = row;
if (row.entity && row.code && row.continent) {
const gini = countryYears.filter(row =>
row.code === code &&
row.beforeTax &&
row.afterTax
).map(row => ({
year: row.year,
beforeTax: row.beforeTax,
afterTax: row.afterTax,
pop: row.pop,
}));
if (!gini.length) return acc;
acc = acc.concat({ entity, code, continent, gini });
}
return acc;
}, []);
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