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ADB Visualizing Climate Change & Resilience Challenge Submissions
Edited
Nov 4, 2022
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PORD.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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data = FileAttachment("PORD.csv").csv({typed: true})
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Plot.plot({
marks: [
Plot.barY(data, {x: "year", y: "commodity_deforestation_risk"})
]
})
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dataobservable.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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da = FileAttachment("dataobservable.csv").csv({typed: true})
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mills@1.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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dataa = FileAttachment("mills@1.csv").csv({typed: true})
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Plot.plot({
marks: [
Plot.barY(dataa, {x: "Dist", y: "Mills"})
]
})
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treecover.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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dt = FileAttachment("treecover.csv").csv({typed: true})
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Plot.plot({
marks: [
Plot.barY(dt, {x: "umd_tree_cover_loss__year", y: "umd_tree_cover_loss__ha"})
]
})
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