<svg width="100" height="100">
<g transform="translate(50, 50)">
<circle r="50" fill="steelblue"/>
<text fill="white" font-size="50" dominant-baseline="middle" text-anchor="middle">vis</text>
</g>
</svg>
{const svg = d3.create('svg')
.attr('width', 100)
.attr('height', 100);
const g = svg.append('g')
.attr('transform', 'translate(50, 50)');
g.append('circle')
.attr('r', 50)
.attr('fill', 'steelblue');
g.append('text')
.text('vis')
.attr('fill', 'white')
.attr('font-size', 50)
.attr('dominant-baseline', 'middle')
.attr('text-anchor', 'middle');
return svg.node();}
segments = [ //1
{ x1: 5, y1: 5, x2: 5, y2: 95 },
{ x1: 45, y1: 5, x2: 45, y2: 95 },
{ x1: 5, y1: 95, x2: 45, y2: 95 },
{ x1: 60, y1: 5, x2: 100, y2: 5 },
{ x1: 80, y1: 5, x2: 80, y2: 95 },
{ x1: 115, y1: 5, x2: 115, y2: 95 },
{ x1: 115, y1: 5, x2: 145, y2: 5 },
{ x1: 115, y1: 50, x2: 140, y2: 50 },
{ x1: 115, y1: 95, x2: 145, y2: 95 },
{ x1: 160, y1: 5, x2: 190, y2: 5 },
{ x1: 160, y1: 5, x2: 160, y2: 95 },
{ x1: 160, y1: 95, x2: 190, y2: 95 },
];
{
const svg = d3.create('svg')
.attr('width', 200)
.attr('height', 100);
svg.selectAll('line')
.data(segments)
.join('line')
.attr('x1', d => d.x1)
.attr('y1', d => d.y1)
.attr('x2', d => d.x2)
.attr('y2', d => d.y2)
.attr('stroke', 'black');
return svg.node();
}
iris = require('@observablehq/iris')
iris
Type Table, then Shift-Enter. Ctrl-space for more options.
widthIris = 400
heightIris = 400
sepalWidthMin = d3.min(iris, d => d.sepalWidth)
sepalWidthMax = d3.max(iris, d => d.sepalWidth)
yIris = d3.scaleLinear()
.domain([sepalWidthMin, sepalWidthMax])
.range([heightIris - 30, 20]);
sepalLengthtMin = d3.min(iris, d => d.sepalLength)
sepalLengthMax = d3.max(iris, d => d.sepalLength)
xIris = d3.scaleLinear()
.domain([sepalLengthtMin, sepalLengthMax])
.range([40, widthIris - 20]);
species = [...new Set(iris.map(d => d.species))]
colorIris = d3.scaleOrdinal()
.domain(species)
.range(d3.schemeCategory10)
scatterplot = {
const svg = d3.create("svg")
.attr("width", widthIris)
.attr("height", heightIris);
svg.selectAll("circle")
.data(iris)
.join("circle")
.attr("cx", d => xIris(d.sepalLength))
.attr("cy", d => yIris(d.sepalWidth))
.attr("r", 3)
.attr("fill", d => colorIris(d.species))
return svg.node();
}
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.
