Published
Edited
Jan 3, 2021
1 fork
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desiredData
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x = d3.scaleUtc()
.domain(d3.extent(desiredData, d => d.date))
.range([margin.left, width - margin.right])
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y = d3.scaleLinear()
.domain([0, d3.max(desiredData, d => d.new_deaths_smoothed)]).nice()
.range([height - margin.bottom, margin.top])
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TimeScaleX = d3.scaleUtc()
.domain(d3.extent(desiredData, d => d.date))
.range([margin.left, width - margin.right])
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ScaleY = d3.scaleLinear()
.domain([0, d3.max(desiredData, d => d.new_deaths_smoothed)]).nice()
.range([height - margin.bottom, margin.top])
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xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(TimeScaleX)
.ticks(width / 80)
.tickSizeOuter(0))
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yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(ScaleY))
.call(g => g.select(".domain").remove())
.call(g => g.select(".tick:last-of-type text").clone()
.attr("x", 3)
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text("Daily deaths smoothed"))
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line = key => {return d3.line()
.defined(d => !isNaN(d.date))
.x(d => x(d.date))
.y(d => y(d[key]))}
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temporalchartwithaxis = {
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
.style('border', '1px dotted #999');

svg.append("g")
.call(xAxis);

svg.append("g")
.call(yAxis);

svg.append("path")
.datum(desiredData)
.attr("fill", "none")
.attr("stroke", "purple")
.attr("stroke-width", 2)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.attr("d", line('new_deaths_smoothed'));

svg.append("path")
.datum(desiredData)
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.attr("d", line('predicted_new_deaths_smoothed'));

return svg.node();
}
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(desiredData[0]['date'] instanceof Date)
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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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