Published
Edited
Sep 21, 2021
30 forks
33 stars
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Templates
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csv = FileAttachment("cohorts.csv").csv({typed: true})
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data = processCohortData(csv)
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numCohorts = d3.max(data, d => d.period_number)
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lineChartData = data.filter(d => d.period_number > 0)
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cyclePlotData = data.filter(d => d.period_number > 0 && d.period_number <= cyclePlotPeriodsToShow)
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dateFormat = d3.utcFormat("%B %d, %Y")
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pctFormat = d3.format(".1%")
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import {CohortGrid, processCohortData, validationRules} from "@observablehq/cohort-grid"
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import {Table} from "@observablehq/table-validator"
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import {legend, swatches} from "@d3/color-legend"
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import {toc} from "@observablehq/templates-table-of-instructions"
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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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