Public
Edited
Apr 7, 2023
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Plot.plot({
marks: [
Plot.lineY(scenariosGlobalMeanTemperature, {x: "date", y: "value", strokeWidth: 3, stroke: "scenario"}),
]
})
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scenarioData = responses.reduce((acc, response) => {
response.data[indicatorId].map(expandTimeData).forEach(d =>
acc.push({...d, scenario: response.parameters.scenario
}))
return acc;
}, [])
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scenarioIds = ["curpol", "sp", "gs"]
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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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