Public
Edited
Apr 23
1 star
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format = d3.format(".0%")
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y = d3.scaleLinear()
.domain([-1, 12])
.range([height-margin.bottom,margin.top])
.nice()
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x = d3.scaleBand()
.domain(data.map(d => d.indicator))
.range([margin.left, width - margin.right])
.padding(0.2)
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intervalInitial = confidenceInitial(turnout, equationInitial)
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intervalUpdateMail = confidenceUpdate(turnout, equationMail)
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height = 500
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width = 900
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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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