Svg Shadow and GradientCurved Edges - Compact Vertical with height offset for mid pointCurved Edges - Compact VerticalGenerate and download QR codes in BatchOracle's sample hr data as JSONNetwork Data VisualizationDate.prototype.toLocaleStringLegend SnippetsSVG MarkersNetwork Chart, Multiple Links, with shader arrowsPolygon Over MapboxSVG extreme valuesRect & line intersectionCurved Edges Horizontal (d3 v3,v4,v5,v6)Area & Line chartDrag ScalingReading local JSON fileClient side hashingHorizontal collapsible d3.flextree (d3.v6)Vertical collapsible d3.flextree (d3.v6)Apply color palette to htmlRewind Geojson Onlinestroke-dasharray animationsCanvas Data ViewerEstimations Hour ExtractorColor InterpolationsChart Template - minimal stylingd3.v5 Org Chart - last updated at Jun 2022Svg Drop Shadows PlaygroundCurved Edges Vertical (d3 v3,v4,v5,v6, v7)D3 TemplateVertical collapsible tree3D Pie Chart 😈HullsD3 Lasso selectionD3 PatternifierHello Plot.lyD3 often googledFile Size SimulationD3 Format & ParseD3JS - Boilerplates - Interactive partPulseNamed ColorsInchlibCrow's Foot notations generator
ForeignObject typical usage
data = [
{ color:'blue', name:'item 1' },
{ color:'red', name:'item 2'},
{ color:'green', name:'item 3'}
]
{
const svg = d3.create("svg");
const fo = svg
.selectAll(".legend-fo")
.data(["legend-fo"])
.join("foreignObject") // Append for d3.v4
.attr("transform", "translate(20,20)")
.classed("legend-fo", true)
.attr("width", 100)
.attr("height", 100);
const div = fo
.selectAll(".legend-div")
.data(["legend-div"])
.join("xhtml:div") // Append for d3.v4
.classed("legend-div", true)
.html(
data
.map((v) => {
return `<div style="font-size:11px;margin-top:5px;">
<div style="border-radius:10px;
width:10px;
height:10px;
background-color:${v.color};
display:inline-block">
</div>
${v.name}
</div>`;
})
.join("")
);
yield svg.node();
}
d3 = require('d3')
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.