Public
Edited
May 21
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data=d3.csv(url)
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data
Type Table, then Shift-Enter. Ctrl-space for more options.

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d3.extent(daten_line, (d) => d.jahr)
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(jahre)
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xverzoegert=d3
.scaleLinear()
.domain([0,500])
.nice()
.range([40, width - 30])
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yverzoegert= d3
.scaleLinear()
.domain([0,0.4])
.nice()
.range([500 - 30, 20])
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import { InputsLeuSelect } from "@bildungsplanungzh/leuselect"
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leuVersion = "0.14.3"
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theme = htl.html`<link rel="stylesheet" href="https://esm.sh/@statistikzh/leu@${leuVersion}/dist/theme.css?target=es2022">`
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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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