Public
Edited
Jun 3, 2023
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penguinData
Type Table, then Shift-Enter. Ctrl-space for more options.

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// Add your code here to do the wrangling steps above!
penguinData.map(d => ({species: d.species, massKilograms: d.body_mass_g / 1000, billRatio: d.culmen_length_mm / d.culmen_depth_mm})).filter(d => d.billRatio > 3.5)
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// Find the minimum culmen length in penguinData:
d3.min(penguinData, d => d.culmen_length_mm)
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// Alternatively:
d3.mean(penguinData.map((d)=> d.body_mass_g))

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// Standard deviation of culmen depth:
d3.deviation(penguinData.map((d) => d.culmen_depth_mm))
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// Count of flipper length values:
d3.count(penguinData, d => d.flipper_length_mm)
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penguinData
Type Table, then Shift-Enter. Ctrl-space for more options.

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// Group penguinData by species (store Map as groupSpecies):
groupSpecies = d3.group(penguinData, (d) => d.species)
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// Then get just the Adelies:
groupSpecies.get("Adelie")
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// Group penguinData by species and island (store as groupSpeciesIsland):
groupSpeciesIsland = d3.group(penguinData, (d) => d.species, (d) => d.island)
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// Get observations for Adelie penguins on Dream Island:
groupSpeciesIsland.get("Adelie").get("Dream")
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// Find the mean body mass by penguin species
d3.rollup(penguinData, (v) => d3.mean(v, (d) => d.body_mass_g), (d) => d.species)
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// Find the mean flipper length by penguin species and sex:
d3.rollup(penguinData, (v) => d3.mean(v, (d) => d.flipper_length_mm), (d) => d.species, (d) => d.sex)
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arrayOfArrays = [
[1, 2],
[3, 4]
]
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arrayOfArrays.map(([firstNumber, secondNumber]) => ({
firstNumber,
secondNumber
}))
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// Use flatRollup to find mean body mass by penguin species, then map to get an array of objects:
d3.flatRollup(penguinData, (v) => d3.mean(v, (d) => d.body_mass_g), (d) => d.species).map(([species, meanMass]) => ({species, meanMass}))
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// Create a new bar chart with Observable Plot to visualize mean body mass by species:

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Plot.plot({
marks: [
Plot.barY(
penguinData,
Plot.groupX(
{ y: "mean" },
{ y: "body_mass_g", x: "species", sort: { x: "y", reverse: true } }
)
)
]
})
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import { showMe } from "@observablehq/show-me"
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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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