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Learning Observable
Edited
Sep 27, 2023
4 forks
7 stars
4
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Plot.plot({
marks: [
Plot.dot(penguins, {x: "culmen_length_mm", y: "culmen_depth_mm", stroke: "species"}), // try changing "stroke" to "fill"
Plot.linearRegressionY(penguins, {x: "culmen_length_mm", y: "culmen_depth_mm", stroke: "species"})
],
ariaLabel: "Penguin culmen dimensions",
ariaDescription: "Scatterplot of culmen length by culmen depth for three penguin species. Linear trendlines are added to each, revealing similar positive linear trends between culmen length and depth for chinstrap, gentoo and Adelie penguins."
})
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Plot.plot({
marks: [
Plot.rectY(olympians, Plot.binX({y: "count"}, {x: "weight"})),
Plot.ruleY([0])
]
})
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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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