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Apr 26
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AAPL-1980-2024-Monthly.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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// ... your visualization here
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// ... your visualization here
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// ... your code here
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// ... your code here
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// ... your code here
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// Uncomment to activate
// `Close` is standardized for you.
// You should do the `Volume` yourself

// data_standardized = aq.from(data)
// .derive({CloseStandardized: d => ( d.Close - op.mean(d.Close) ) / op.stdev(d.Close) || 0})
// .objects()
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// ... your code here
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// ... your code here
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// ... your code here
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// ... your code here
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// ... your code here (you will need the aq.escape function for this)
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// ... your code here
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// ... your code here
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// ... your code here
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// ... your code here
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// ... your code here
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// ... your code here
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// ... your code here
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// ... your code here
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// ... your code here
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// ... your code here
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// ... your code here
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// ... your code here
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// ... your code here
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import {howTo} from "@clokman/howto"
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import {Wrangler, op} from "@observablehq/data-wrangler"
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import {toc} from "@nebrius/indented-toc"
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import {imageToDo} from "@clokman/student-blocks"
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imageToDo
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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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