Plot: A few custom time axesAccess to Family planningPlot: MarimekkoAutoplot matrixWhat do people buy on Bandcamp?Plot: colorContrast transformA Timeline of Democratic Presidential CandidatesPlot: Diverging stacked barsPlot: Horizon ChartPlot: Ridgeline PlotTwo-Tone Pseudo Color Scales with Observable Plot & Vega-LiteRecreating Östling’s regression visualizationsError barsPlot: regressionSkies PlotHorizon graph & Barcode with PlotTemporal AliasingPlot for mathematiciansPlot Isotype dot plotCOVID-19 Netherlands Reproduction Number TutorialPlot Mountain SunsetSpine chartsGreenhouse gas emission projectionsRaincloud Plots with Observable PlotUpset Plots with Observable PlotExploring CIELChabNature variant waves graphicWhen Presidents Fade AwayThe Coronavirus landscapeThe normal modelVisualizing The New York Times’s Mini CrosswordDistributions and summary statistics - a collection of Plot examplesVariants of SARS-Cov-2 in EuropeLaid off: 6 million jobs and countingConcentration values vs. TimeTopological subsamplingPlot of plotsCyclical time scale, v2Bullet graph IIPlot: Bullet graphCyclical time scaleRoad traffic under COVID restrictions (France)K-means binningMatrix diagramELD ViewerHappy anniversary, Project Gutenberg!ROC curvePlot stargazer historyPlot HyperboloidPhone bar plotsLog-scale histogramDatabase Outage PlotBertin’s hotelIreland’s top trade partnersBump chartBubble MatrixRenko ChartGitHub BurndownPlot: Grid choroplethCandlestick Chart
Our World In Data charts visualisation
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OWID Datasette
stacked = Plot.plot({
marks: [
Plot.barY(chartsByYearAndTag, {x: "year", y: "chart_count", fill: "tag_name", title: "tag_name"}),
Plot.ruleY([0])
]
})
chartsByYearAndTag = owid.sql`select t.name as tag_name, count(ct.chartId) as chart_count, STRFTIME('%Y', c.publishedAt) as year
from chart_tags ct
left join charts c on ct.chartId = c.id
left join tags t on t.id = ct.tagId
group by ct.tagId,
year
having ct.tagId in (select ct.tagId from chart_tags ct group by ct.tagId having count(ct.chartId) > 50)
order by year, chart_count desc`
owid
owid = new DatasetteClient(
"https://owid-datasette-y43qr.ondigitalocean.app/owid"
)
//Inputs.table(variables.query(`SELECT * from variables ${whereClause}`))
import {DatasetteClient} from "@ambassadors/datasette-client"
import {debounce} from "@mbostock/debouncing-input"
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.
