Data Visualization Developer at The Associated Press
Public
Edited
Apr 26, 2023
1 star
Plot.plot({
width: 1152,
height: 800,
insetLeft: 10,
insetRight: 60,
r: {range: [1, 30]},
style: "overflow: visible;",
marks: [
Plot.dot(
sortedData.filter(d => d['Disaster Type'] === 'Flood'),
Plot.dodgeY({
anchor: "middle",
padding: 2,
x: "date",
r: "damages",
// title: (d) => `${d["Bank Name"]}\n${(d["Assets"] / 1000).toFixed(1)}B`,
fill: d => multiColorScale(d.casualties, d['Disaster Type']),
fillOpacity: .6,
strokeWidth: 1,
stroke: d => multiColorScale(d.casualties, d['Disaster Type']),
// fillOpacity: d => d.casualties >= d3.quantile(sortedData, .75, d => d.casualties) ? 1 : .2 ,
})
),
]
})
d3.quantile(sortedData, .75, d => d.casualties)
colorScale = {
const colors = ["#94d2bd","#005f73","#0a9396","#ee9b00","#ca6702","#bb3e03", "#e9d8a6", "tomato"]
const disasters = new d3.InternSet(allDisasters.map(d => d['Disaster Type'] ) )
return d3.scaleOrdinal().domain(disasters).range(colors)
}
function multiColorScale(value, category) {
const color = colorScale(category)
const quantScale = d3.scaleLog().domain(d3.extent(allDisasters, d => d.casualties)).range(['#FFF', color])
return quantScale(value + 1)
}
d3.extent(allDisasters, d => d.casualties)
multiColorScale(2000, 'Flood')
allDisasters = await FileAttachment("all_top_disasters@4.json").json()
decades = await FileAttachment("disaster_decades.json").json()
allDisasters.forEach(d => {
//d.date = d3.timeParse("%Y-%m-%d")(d.date)
if (['Earthquake','Wildfire', 'Drought', 'Landslide', 'Extreme temperature'].includes(d['Disaster Type'])) {
d.damages1 = -(d.damages)
} else {
d.damages1 = d.damages
}
})
height = 1000
d3.extent(allDisasters, d => d.casualties)
function cartesianToPolar(x, y) {
const r = Math.sqrt(x*x + y*y); // calculate radius
const theta = Math.atan2(y, x); // calculate angle in radians
return {r, theta};
}
coords = cartesianToPolar(200, 250)
function polarToSVG(polarCoords, dims) {
const {r, theta} = polarCoords
const x = (r * Math.cos(theta)) + (dims[0]/2)
const i = r * Math.sin(theta)
const y = (i - (i * 2)) + (dims[1]/2)
return [x, y]
}
polarToSVG(coords, [800, 500])
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