Public
Edited
Apr 28, 2023
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seattleWeatherTyped = FileAttachment("seattle-weather.csv").csv({typed: true})
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vl.markBar({tooltip:true})
.data(seattleWeatherTyped)
.title("Histogram of Daily Max Temp")
.encode(vl.x().fieldQ('temp_max').bin(true),
vl.y().aggregate('count'),)
.render()
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import {vl} from '@vega/vega-lite-api-v5'
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import {printTable} from '@jonfroehlich/data-utilities'
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import {printTableTypes} from '@jonfroehlich/data-utilities'
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import {toc} from "@jonfroehlich/collapsible-toc"
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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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