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Observable
The end-to-end solution for building and hosting better data apps, dashboards, and reports.
Published
Edited
Sep 21, 2021
30 forks
33 stars
1
Templates
Boilerplates
(17)
Integrations
(7)
Developer Workflows
(7)
Hiring TimelineBreakout Room Breaker Outer“Happy Birthday” SynchronizerSurvey Cross-Tabulation AnalysisAgenda Tracker (Clock Time)Survey Report BuilderAgenda Tracker (Start Button)Team-Order ShufflerIntegration Test FlakinessIntegration Test DurationStartup Operating ModelTargets vs. Actuals
User Retention
Plot ScatterplotPlot U.S. MapPlot World MapUser Retention with SegmentsSimple SVGInteractive SVGInteractive HTML CanvasSimple HTML CanvasSimple D3D3 scatterplotD3 U.S. mapD3 world mapProcessing (p5.js)WebGL ShaderBlog PostGitHub: Pull Request VisualizerAWS HTTP Status DashboardStripe API StarterGoogle Sheets StarterSQLite StarterGitHub API StarterReglThree.jsGitHub Stargazer HistoryFigma API StarterAWS S3 API StarterAWS EC2 API StarterGitHub API ExplorerGitHub Suggested ReviewersPlot: HistogramInput + ChartSearch + TableSQL + ChartThe MoMA Collection DataU.S. Geographic DataPlot Test DataNOAA Hourly Weather DataEIA Electricity DataBandcamp Sales DataGoogle Merchandise Sales DataDarkCideS: Bats in Caves Data
Also listed in…
Templates: Product Insights
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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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