#DataScience #DataViz #WebApplications
Published
Edited
May 1, 2019
chart = {
const svg = d3.select(DOM.svg(width, height));
const bar = svg.append("g")
.attr("fill", "steelblue")
.selectAll("rect")
.data(data)
.join("rect")
.style("mix-blend-mode", "multiply")
.attr("x", d => x(d.name))
.attr("y", d => y(d.value))
.attr("height", d => y(0) - y(d.value))
.attr("width", x.bandwidth());
const gx = svg.append("g")
.call(xAxis);
const gy = svg.append("g")
.call(yAxis);
svg.node().update = () => {
const t = svg.transition()
.duration(750);
bar.data(data, d => d.name)
.order()
.transition(t)
.delay((d, i) => i * 20)
.attr("x", d => x(d.name));
gx.transition(t)
.call(xAxis)
.selectAll(".tick")
.delay((d, i) => i * 20);
};
return svg.node();
}
{
switch (order) {
case "name-ascending": data.sort((a, b) => a.name.localeCompare(b.name)); break;
case "value-ascending": data.sort((a, b) => a.value - b.value); break;
case "value-descending": data.sort((a, b) => b.value - a.value); break;
}
x.domain(data.map(d => d.name));
chart.update();
return order;
}
data = d3.csv("https://gist.githubusercontent.com/alod83/67ee4a913d9f33f0b89f2dadcc87e2c6/raw/185f53d89c22808779dff914815661e953c73725/sport_praticati.csv", ({letter, frequency}) => ({name: letter, value: +frequency}))
x = d3.scaleBand()
.domain(data.map(d => d.name))
.range([margin.left, width - margin.right])
.padding(0.1)
y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.value)]).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).tickSizeOuter(0))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
height = 500
margin = ({top: 20, right: 0, bottom: 30, left: 40})
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.
