Public
Edited
Apr 24, 2023
rental = rental2018.concat(rental2020).concat(rental2021)
ownership2021 = aggregate(housing2021, 'ownership', 'Income-Restricted Ownership', '2021')
rental2021 = aggregate(housing2021, 'rental', 'Income-Restricted Rental', '2021')
income-restricted-inventory-2021.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
ownership2020 = aggregate(housing2020, 'ownership', 'Income- Restricted Ownership', '2020')
rental2020 = aggregate(housing2020, 'rental', 'Income- Restricted Rental', '2020')
income-restricted-inventory-2020.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
rental2018 = aggregate(housing2018, 'rental', 'Income- Restricted Rental', '2018')
ownership2018 = aggregate(housing2018, 'owned', 'Income- Restricted Ownership', '2018')
aggregate = (dataset, typeName, colName, year) => {
const cleanDataset = dataset.map(d => ({...d, neighborhood: d['Neighborhood'].toLowerCase()}))
const sums = d3.rollup(cleanDataset, v => d3.sum(v, d => d[colName]), d => d.neighborhood)
return [...sums.keys()]
.filter(k => k.length > 0)
.map(k => ({neighborhood: k, type: typeName, units: sums.get(k), year}));
}
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