Published
Edited
Jul 29, 2020
Importers
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chart = {
const svg = d3.create('svg')
.attr('viewBox', [ 0, 0, width + 80, height ])
.attr('style', 'width: 100%; height: auto;')
svg.append('g')
.call(xAxis)
svg.append('g')
.call(yAxis)
svg.append('g')
.selectAll("g")
.data(data.series)
.join('text')
.text((d) => d.name)
.attr('x', width - 10)
.attr('y', (d) => y(d.values.slice(-1)[0]))
.attr('dy', 2)
.attr("font-family", graph.font)
.attr("font-size", graph.fontSize)
.attr("fill", d => color(d.name))
const path = svg.append('g')
.attr('fill', 'none')
.attr('stroke-width', 1.5)
.attr('stroke-linejoin', 'round')
.attr('stroke-linecap', 'round')
.selectAll('path')
.data(data.series)
.join('path')
.attr('stroke', d => color(d.name))
.style('mix-blend-mode', 'multiply')
.attr('d', d => line(d.values))
.call(d => d.filter(d => d.name != "Total")
.style("stroke-dasharray", ("1,3")))
svg.call(hover, path)

return svg.node()
}
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function hover(svg, path) {
svg
.style("position", "relative");
if ("ontouchstart" in document) svg
.style("-webkit-tap-highlight-color", "transparent")
.on("touchmove", moved)
.on("touchstart", entered)
.on("touchend", left)
else svg
.on("mousemove", moved)
.on("mouseenter", entered)
.on("mouseleave", left);

const dot = svg.append("g")
.attr("display", "none");

dot.append("circle")
.attr("r", 2.5);

dot.append("text")
.style("font-size", "10px")
.style("font-family", graph.font)
.attr("text-anchor", "middle")
.attr("y", -8);

function moved() {
d3.event.preventDefault()
const ym = y.invert(d3.event.layerY)
const xm = x.invert(d3.event.layerX)
const i1 = d3.bisectLeft(data.dates, xm, 1)
const i0 = i1 - 1
const i = xm - data.dates[i0] > data.dates[i1] - xm ? i1 : i0
const series = data.series.reduce((a, b) => {
if (Math.abs(a.values[i] - ym) < Math.abs(b.values[i] - ym))
return a
else
return b
})
const score = series.values[i]

dot.attr("transform", `translate(${x(data.dates[i])},${y(series.values[i])})`)
dot.select("text").text(`${ series.name }: ${ score }`)
}

function entered() {
dot.attr("display", null)
}

function left() {
dot.attr("display", "none")
}
}
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line = d3.line()
.defined(d => !isNaN(d))
.x((d, i) => x(data.dates[i]))
.y(d => y(d))
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color = d3.scaleOrdinal()
.domain(data.series.map(d => d.name))
.range(colours.chart)
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y = d3.scaleLinear()
.domain([ 0, d3.max(data.series, d => d3.max(d.values) + 1000) ])
.range([ height - margin.bottom, margin.top ])
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yAxis = g => g
.attr('transform', `translate(${ margin.left }, 0)`)
.call(d3.axisLeft(y))
.call(g => g.select('.domain').remove())
.call(g => g.select('.tick:last-of-type text').clone()
.attr('x', 1)
.attr('text-anchor', 'start')
.attr('font-weight', 'bold')
// .text(data.y)
)
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x = d3.scaleUtc()
.domain(d3.extent(data.dates))
.range([ margin.left + 5, width - margin.right ])
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xAxis = g => g
.attr('transform', `translate(0, ${ height - margin.bottom })`)
.call(d3.axisBottom(x).ticks(data.dates.length).tickSizeOuter(0))
// .call(g => g.select('.domain').remove())
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height = 600
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margin = ({ top: 20, right: 20, bottom: 30, left: 50 })
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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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