I'm a Software Developer. Rails, React and Python enthusiast. Director of Technology at Epifany & Stealz. @d3 learner
Published
Edited
May 17, 2019
length = 15
b
func = (x) => {
return Math.exp(b * -x)
}
chart = {
const svg = d3.select(DOM.svg(width, height));
svg.append('g')
.call(xAxis);
svg.append('g')
.call(yAxis);
svg.append('path')
.datum(data)
.attr('fill', 'none')
.attr('stroke', 'black')
.attr('d', line);
svg.selectAll('circle')
.data(data)
.enter().append('circle')
.attr('r', 5)
.attr('fill', 'black')
.attr('cx', d => x(d.x))
.attr('cy', d => y(d.y))
return svg.node();
}
x = d3.scaleLinear()
.domain(d3.extent(data, d => d.x))
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain(d3.extent(data, d => d.y))
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr('transform', `translate(0, ${height - margin.bottom})`)
.call(d3.axisBottom(x))
yAxis = g => g
.attr('transform', `translate(${margin.left}, 0)`)
.call(d3.axisLeft(y))
line = d3.line()
.x(d => x(d.x))
.y(d => y(d.y))
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.
