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PAC
I explore Wikidata and Wikipedia using Observable notebooks.
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Introductions to Observable
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Sep 9, 2022
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Introductions to Observable
Introduction à Observable pour les utilisateurs de WikidataAn introduction to Observable for Wikidata users
An introduction to Observable for R users
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import { aq, op } from "@uwdata/arquero"
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penguins = d3.csv("https://raw.githubusercontent.com/allisonhorst/palmerpenguins/main/inst/extdata/penguins.csv")
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df_penguins = aq.from(penguins)
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df_penguins.view()
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Inputs.table(df_penguins)
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df_penguins.groupby("species").count().view()
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df_penguins
.groupby("species")
.rollup({ mean: (d) => op.mean(d.body_mass_g) })
.view()
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Plot.dot(df_penguins, {
x: "body_mass_g",
y: "bill_length_mm",
stroke: "species"
}).plot({y: {type:"linear"}, x:{type:"linear"}})
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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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