<svg width="300" height=300 style="background-color:red">
</svg>
<svg width=300 height=300 style="background-color:aqua;border-radius:20px;">
<circle transform="translate(150,150)" fill="red" opacity="0.5" stroke="blue" r="100"></circle>
</svg>
<svg width=300 height=300 style="overflow:visible;background-color:aqua;border-radius:20px;">
<line transform="rotate(56)" x1=0 y1=0 x2=200 y2=0 stroke="red" stroke-width="5">
</line>
</svg>
<svg width=300 height=300 style="background-color:aqua;border-radius:20px;">
<text transform="translate(150,150)" stroke="red">Test Test Tes</text>
</svg>
<svg width=300 height=300 style="background-color:aqua;border-radius:20px;overflow:visible">
<path
stroke="black"
fill="yellow"
d="M 0,0 L 150,150 L 150,300 L0,300 Z"
></path>
</svg>
<svg width=300 height=300 style="background-color:aqua;border-radius:20px;">
<g transform="translate(0,-100)">
<circle r=40 transform="translate(160,150)" fill='orange' stroke='blue' > </circle>
<circle r=20 transform="translate(260,150)" fill='orange' stroke='blue' > </circle>
</g>
</svg>
min = d3.min(dataTemp, function (d) {
return d.temp;
})
max = d3.max(dataTemp, (d) => d.temp)
valueScale = d3.scaleLinear().domain([min, max]).range([0, 200])
valueScale.ticks(7)
colorScale = d3.scaleLinear().domain([0, max]).range(["orange", "darkred"])
colorScale(0)
d3
.arc()
.innerRadius(0)
.outerRadius(100)
.startAngle(0)
.endAngle(Math.PI / 2)()
arc = d3
.arc()
.innerRadius((d) => d.innerRadius)
.outerRadius((d) => d.outerRadius)
.startAngle((d) => d.startAngle)
.endAngle((d) => d.endAngle)
myObj = ({
innerRadius: 100,
outerRadius: 100,
startAngle: Math.PI / 2,
endAngle: Math.PI
})
arcResult = arc(myObj)
<svg height=300>
<path stroke='black'
fill='none'
transform='translate(150,150)'
d='${arcResult}'>
</path>
</svg>
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.