Published
Edited
Nov 6, 2020
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fbfpt = d3.csvParse(await FileAttachment("fbfpt@1.csv").text())
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typed = FileAttachment("fbfpt@1.csv").csv({ typed: true })
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function getBatchId(batchId) {
return batchId >= 10;
}
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getBatchId()
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fbfpt.slice(10, 12)
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fbfpt.slice(1, 5)
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fbfpt.columns
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logos = md`# logos

<img src="https://docs.google.com/drawings/d/e/2PACX-1vSnxi3YaL5WY8LLF_i1Prd070m3YvYQBIztkar4zU8jX99ZY_f08J-99BIv2VTrHuEsziopKaPei0VI/pub?w=960&amp;h=720">

<img src="https://avatars.observableusercontent.com/avatar/e015f53a58d1988c2db376c0aab51d1c6614595744e22f3dd048ff56a3787436?s=128">

`
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teachart
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import { teachart } from "@datagenous/tea-flavor-wheel"
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import { data } from "@datagenous/tea-flavor-wheel"
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d3 = require("d3@5")
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{
console.log("teachart", teachart);
}
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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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