Public
Edited
Jan 16, 2024
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mlw_ds
Type Table, then Shift-Enter. Ctrl-space for more options.

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mlw_meta = FileAttachment("mlw-meta.csv").csv({typed: true})
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mlw_meta
Type Table, then Shift-Enter. Ctrl-space for more options.

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n = +x
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import {dashboard} from "@cobus/dashboard-badges"

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it = FileAttachment("limits_IT_regions.topo.json").json()
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regions = topojson.feature(it, it.objects.regions)
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regions.features
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regionmesh = topojson.mesh(it, it.objects.regions, (a, b) => a !== b)
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style = html`
<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=${parseFont}:ital@0;1&display=swap">

<style>
text {
font-family: '${selectedFont}';
}

#line1 {
font-size: 15px;
font-weight: bold;
}

#line2 {
font-size: 14px;
font-weight: bold;
}
</style>
`
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selectedFont = "Work Sans"
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parseFont = selectedFont.split(" ").join("+")
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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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