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chart960 = chart(960)
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values = d3.merge(geojsonData.features.map(
d => Object.entries(d.properties).map(
([key, value]) => {
if (candidates.includes(key)) {
return value;
}
}).filter(Number.isFinite)))
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viewof cities = checkbox({
title: "Cities to add to the map",
options: cityList.map(d => d.name).sort(),
value: [
"Downtown",
"Culver City",
"Carson",
"Inglewood",
"Leimert Park",
]
})
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colors = ({
chan_jeong: '#d95f02',
holly_mitchell: '#7570b3',
jan_perry: '#e7298a',
herb_wesson: '#1b9e77',
})
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groups = ckmeans(values, breaks).map(d => d3.min(d))
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colorScale = d3.scaleThreshold(groups, colorPalette.slice(1, colorPalette.length))
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cityList = [
{
name: 'Leimert Park',
type: 'neighborhood',
coordinates: [-118.3307598, 34.0131431],
},
{
name: 'Carson',
type: 'city',
coordinates: [-118.28202, 33.83141],
},
{
name: "Long Beach",
type: 'city',
coordinates: [-118.21426391601561, 33.804255802014865],
},
{
name: "Inglewood",
type: 'city',
coordinates: [-118.355370, 33.961018],
x: "-9",
anchor: "end"
},
{
name: "Culver City",
type: 'city',
x: "-9",
anchor: "end",
coordinates: [-118.3964665, 34.0211224],
},
{
name: "Compton",
type: 'city',
coordinates: [-118.220070, 33.895847]
},
{
name: "Lancaster",
type: 'city',
coordinates: [-118.157958984375, 34.69476751842919]
},
{
name: "Beverly Hills",
type: 'city',
coordinates: [-118.3993148803711, 34.073706174064164]
},
{
name: "West Hollywood",
type: 'city',
coordinates: [-118.35708618164064, 34.091620235447365]
},
{
name: "Arcadia",
type: 'city',
coordinates: [-118.03779602050781, 34.13709922600642]
},
{
name: "Santa Monica",
type: 'city',
coordinates: [-118.48342895507812, 34.011119420618684],
x: "-9",
anchor: "end"
},
{
name: 'Pasadena',
type: 'city',
coordinates: [-118.14452, 34.14778],
},
{
name: 'Pomona',
type: 'city',
coordinates: [-117.749992, 34.055103],
x: '-9',
anchor: 'end',
}
]
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projection = d3.geoMercator()
.center([-118.33, 33.93])
.scale((1 << 22.9999) / (26 * Math.PI))
.translate([mapWidth / 2, mapHeight / 2])
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district = await d3.json('https://gist.githubusercontent.com/stiles/6e24fc5d70bf78dbcebb1878c16648d9/raw/a2f5b2949207ff3e4908a8cb4deb47ee12824df0/2nddistrict.geojson')
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districtLabels = await d3.json('https://gist.githubusercontent.com/stiles/b7ea564c2252c1d8d813e2e66010f892/raw/864d782a889a510bef6542436baf0d737cf77ff8/district2labels.geojson')
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async function createZIP() {
const zip = new JSZip()

const folder = zip.folder(circleValue);
folder.file('320.png', await exportPNG(chart320));
folder.file('640.png', await exportPNG(chart640));
folder.file('960.png', await exportPNG(chart960));

return zip.generateAsync({type: 'blob'})
}
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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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