The end-to-end solution for building and hosting better data apps, dashboards, and reports.
Public
Edited
Mar 8, 2023
Paused
7 forks
Importers
13 stars
Plot: A few custom time axesPlot: 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 landscapeOur World In Data charts visualisationThe 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
Access to Family planning
Also listed in…
Maps
choropleth = Plot.plot({
width: 928,
projection: { type: "equal-earth", rotate: [-10, 0] },
color: {
type: "quantize",
n: 10,
unknown: "#ddd",
label: "Share of Women with access to modern methods of family planning (%)",
legend: true,
width: 360
},
marks: [
Plot.sphere({ fill: "#f0faff", stroke: "currentColor" }),
Plot.geo(land, { fill: "currentColor", dx: 1, dy: 1 }), // shade
Plot.graticule(),
Plot.geo(countries, {
fill: (d) => byName.get(d.properties.name)?.value,
stroke: "currentColor",
strokeWidth: 0.25,
title: (d) => `${d.properties.name}: ${byName.get(d.properties.name)?.value.toFixed(1) ?? "No data"}`
}),
// Gray swatch legend for no data
() =>
svg`<g transform="translate(0,3)"><rect width=16 height=15 fill="#ddd"></rect><text x=21 dy=1.1em fill=currentColor text-anchor=start>No data.</text></g>`
]
})
fp = FileAttachment("family-planning.csv").csv({typed: true})
byName0 = d3.index(fp, (d) => d.country)
minimalist = Plot.geo(countries, {
fill: (d) => byName0.get(d.properties.name)?.value
}).plot({ projection: "equirectangular", color: { scheme: "blues", unknown: "#ccc" } })
html`<small>${[...byName0.keys()].filter((name) => !countries.features.find((d) => d.properties.name === name)).sort().join(" / ")}`
rename = new Map([
["Antigua and Barbuda", "Antigua and Barb."],
["Bolivia (Plurinational State of)", "Bolivia"],
["Bosnia and Herzegovina", "Bosnia and Herz."],
["Central African Republic", "Central African Rep."],
["Cook Islands", "Cook Is."],
["Democratic People's Republic of Korea", "North Korea"],
["Democratic Republic of the Congo", "Dem. Rep. Congo"],
["Dominican Republic", "Dominican Rep."],
["Equatorial Guinea", "Eq. Guinea"],
["Eswatini", "eSwatini"], // formerly known as Swaziland
["Iran (Islamic Republic of)", "Iran"],
["Lao People's Democratic Republic", "Laos"],
["Marshall Islands", "Marshall Is."],
["Republic of Korea", "South Korea"],
["Russian Federation", "Russia"],
["Saint Kitts and Nevis", "St. Kitts and Nevis"],
["Saint Vincent and the Grenadines", "St. Vin. and Gren."],
["Sao Tome and Principe", "São Tomé and Principe"],
["Solomon Islands", "Solomon Is."],
["South Sudan", "S. Sudan"],
["Syrian Arab Republic", "Syria"],
["Türkiye", "Turkey"],
["United Kingdom of Great Britain and Northern Ireland", "United Kingdom"],
["United Republic of Tanzania", "Tanzania"],
["Venezuela (Bolivarian Republic of)", "Venezuela"],
["Viet Nam", "Vietnam"],
["occupied Palestinian territory, including east Jerusalem", "Palestine"],
])
byName = d3.index(fp, (d) => rename.get(d.country) ?? d.country)
renamed = Plot.geo(countries, {
fill: (d) => byName.get(d.properties.name)?.value,
stroke: "red",
strokeWidth: (d) => byName.get(d.properties.name)?.value ? 0 : 1.5,
sort: (d) => byName.get(d.properties.name)?.value,
title: d => byName.get(d.properties.name)?.value ? "" : d.properties.name,
}).plot({ projection: "equirectangular", color: { unknown: "lime", scheme: "greys" } })
Inputs.table(
[...byName].filter(
([name]) => !countries.features.find((d) => d.properties.name === name)
)
)
Inputs.table(
countries.features
.filter((d) => byName.get(d.properties.name)?.value == null)
.map(({ id, properties }) => ({ id, ...properties }))
)
import { land50m as land, countries50m as countries } from "@visionscarto/geo"
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.