Principal Web Developer at Freedom of the Press Foundation
Public
Edited
Oct 17, 2022
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Coronavirus
data = aranetData(await FileAttachment("SampleAranetData.csv").csv())
co2Chart(data, {
timeDomain: [utc(2022, 6, 4), utc(2022, 6, 5)],
thresholds: [450, 800, 1000, 2500, 2500],
ticks: [0, 450, 800, 1000, 2000]
})
milestones = [
[utc(2022, 6, 4, 14, 45), 'Car to camp', '2 people'],
[utc(2022, 6, 4, 16, 20), 'Cabin', '2 people, windows open'],
[utc(2022, 6, 4, 18, 0), 'Dining hall', 'Moving both indoors and outdoors'],
[utc(2022, 6, 4, 19, 10), 'Cabin', '2 people'],
[utc(2022, 6, 4, 19, 30), 'Dance in C♯', 'In pocket'],
[utc(2022, 6, 4, 23, 0), 'Party in C♯m'],
[utc(2022, 6, 5, 2, 0)]
]
co2MilestonesChart(data, milestones, { timeDomain: [utc(2022, 6, 4, 14, 45), utc(2022, 6, 5, 2, 0)] })
co2Chart(data, {
timeDomain: [utc(2022, 6, 4), utc(2022, 6, 5)],
thresholds: [450, 800, 1000, 2500, 2500],
ticks: [0, 450, 800, 1000, 2000]
})
utc(2022, 7, 2)
colorGradient = (data, thresholds, id, vertical = false) => {
if (thresholds.length < 5) throw 'Must have 5 threshold levels'
const s = d3.scaleLinear(
d3.extent(data, (d) => d.co2),
[0, 100]
)
return () => htl.svg.fragment`<defs>
<linearGradient id=${id} gradientTransform=${vertical ? 'rotate(-90 0.5 0.5)' : null}>
<stop stop-color=${d3.lch(80, 65, 150)} offset=0 />
<stop stop-color=${d3.lch(80, 65, 150)} offset=${s(thresholds[0] - 1)}% />
<stop stop-color=${d3.lch(70, 65, 150)} offset=${s(thresholds[0])}% />
<stop stop-color=${d3.lch(70, 65, 150)} offset=${s(thresholds[1] - 1)}% />
<stop stop-color=${d3.lch(80, 80, 90)} offset=${s(thresholds[1])}% />
<stop stop-color=${d3.lch(80, 80, 90)} offset=${s(thresholds[2] - 1)}% />
<stop stop-color=${d3.lch(60, 80, 40)} offset=${s(thresholds[2])}% />
<stop stop-color=${d3.lch(60, 80, 40)} offset=${s(thresholds[3] - 1)}% />
<stop stop-color=${d3.lch(60, 80, 40, 0.2)} offset=${s(thresholds[3])}% />
<stop stop-color=${d3.lch(60, 80, 40, 0)} offset=${s(thresholds[4])}% />
<stop stop-color=${d3.lch(60, 80, 40, 0)} offset=100% />
</linearGradient>
</defs>`
}
milestonesToPeriods = ms => ms.map((d, i, arr) => ({
start: d[0],
end: arr.length > i + 1 ? arr[i+1][0] : null,
event: d[1],
description: d[2],
}))
aranetImageUrl = FileAttachment("aranet4.jpg").url()
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