biology student
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Flexible Heatmap
chart = {
const svg = d3.select(DOM.svg(width, height));
const g = svg
.attr('width', width - margin.left)
.attr('height', height + margin.top + margin.bottom)
.append('g')
.attr('transform', 'translate(' + margin.left + ', 0)');
g.append('g')
.attr('transform', 'translate(0,' + height + ')')
.call(d3.axisBottom(x_scale));
g.append('g').call(d3.axisLeft(y_scale));
svg
.selectAll()
.data(data)
.enter()
.append('rect')
.attr('x', d => x_scale(d.x) + margin.left + 3)
.attr('y', d => y_scale(d.y) + 3)
.attr('width', x_scale.bandwidth() - 10)
.attr('height', y_scale.bandwidth() - 3)
.attr('fill', d => color_scale(d.value));
return svg.node();
}
color_scale = d3.scaleLinear()
.domain([0, 100])
.range(['#fff', '#A3320B'])
data = buildData()
buildData = () => {
let array = [];
d3.range(possible_mutations).map(d => {
const o = d3.range(seq_len).map(t => ({
y: d,
x: t,
value: Math.random() * 100
}));
array = [...array, ...o];
});
return array;
}
y_scale = d3
.scaleBand()
.domain(d3.range(possible_mutations))
.range([height, 0])
x_scale = d3
.scaleBand()
.domain(d3.range(seq_len))
.range([0, width - margin.right])
margin = ({ top: 50, left: 40, right: 40, bottom: 50 })
height = 500
d3 = require('d3@5')
import { slider, select } from "@jashkenas/inputs"
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.
