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Daniel Bachler
Published
Edited
Jan 5, 2022
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Plot Examples
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 landscape
Our World In Data charts visualisation
The 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
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OWID Datasette
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stacked = Plot.plot({
marks: [
Plot.barY(chartsByYearAndTag, {x: "year", y: "chart_count", fill: "tag_name", title: "tag_name"}),
Plot.ruleY([0])
]
})
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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`
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owid
select ct.tagId, t.name , count(c.id) as chart_count
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
having chart_count > 50
order by chart_count desc
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owid = new DatasetteClient(
"https://owid-datasette-y43qr.ondigitalocean.app/owid"
)
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//Inputs.table(variables.query(`SELECT * from variables ${whereClause}`))
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import {DatasetteClient} from "@ambassadors/datasette-client"
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import {debounce} from "@mbostock/debouncing-input"
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