Public
Edited
Sep 22, 2023
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linearRegression = d3.regressionLinear()
.x(d => d.x)
.y(d => d.y)
.domain([-1.7, 16]);
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quadraticRegression = d3.regressionQuad()
.x(d => d.x)
.y(d => d.y)
.domain([-4, 4]);
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lineGenerator = d3.line()
.x(d => xScale(d[0]))
.y(d => yScale(d[1]));
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polynomialRegression = d3.regressionPoly()
.x(d => d.x)
.y(d => d.y)
.order(3);
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exponentialRegression = d3.regressionExp()
.x(d => d.x)
.y(d => d.y)
.domain([-2, 5.06]);
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logarithmicRegression = d3.regressionLog()
.x(d => d.x)
.y(d => d.y)
.domain([.81, 35]);
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powerRegression = d3.regressionPow()
.x(d => d.rank)
.y(d => d.sales);
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loessRegression = d3.regressionLoess()
.x(d => d.year)
.y(d => d.temperature)
.bandwidth(bandwidth);
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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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