Making & thinking in Joshua Tree
Published
Edited
Oct 27, 2018
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", "steelblue")
.attr("stroke-width", 1.5)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.attr("d", line);
return svg.node();
}
height = 500
margin = ({top: 20, right: 30, bottom: 30, left: 40})
x = d3.scaleLinear()
.domain(d3.extent(data, d => d.time))
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain(d3.extent(data, d => d.value))
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
line = d3.line()
.x(d => x(d.time))
.y(d => y(d.value))
data = {
let s = SCROLL_SPEED_BASE_
let f = SCROLL_INCREMENT_FACTOR_
let d = [{value: s, time: 0}]
let idx = 0;
while (s < SCROLL_MAX_SPEED_) {
s += s * SCROLL_MOMENTUM_FACTOR_ * f
f += f * SCROLL_INCREMENT_FACTOR_
d.push({value: s, time: SCROLL_INTERVAL_MS_ * ++idx})
}
return d
}
d3 = require("d3@5")
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.
