view = {
var yz = html`${alegreya()}
${chart}`
return yz
}
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.attr("fill", color)
.selectAll("rect")
.data(data)
.join("rect")
.attr("x", (d, i) => x(i))
.attr("y", d => y(d.value))
.attr("stroke", (d, i) => "#111")
.attr("fill", (d, i) => colors(i))
.attr("stroke-width", 3)
.attr("height", d => y(0) - y(d.value))
.attr("width", x.bandwidth());
svg.append("g")
.call(xAxis)
.attr("font-family", "Alegreya")
.attr("font-weight", "500")
.attr("font-size", 15);
svg.append("g")
.call(yAxis)
.attr("font-family", "Alegreya")
.attr("font-weight", "500")
.attr("font-size", 15);
return svg.node();
}
colors = d3
.scaleOrdinal()
.range(["#e5ebe3", // 2
"#ebf4e9", // 3
"#dbecd8", // 4
"#cce3c7", // 5
"#bddbb6", // 6
"#9eca94", // 7
"#bddbb6", // 6
"#cce3c7", // 5
"#dbecd8", // 4
"#ebf4e9", // 3
"#e5ebe3", // 2
])
font = alegreya()
data = Object.assign(d3.csvParse(await FileAttachment("throw@2.csv").text(), ({Throw, Percentage}) => ({name: Throw, value: +Percentage})))
x = d3.scaleBand()
.domain(d3.range(data.length))
.range([margin.left, width - margin.right])
.padding(0.2)
y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.value)]).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).tickFormat(i => data[i].name).tickSizeOuter(0))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(null, data.format).tickFormat(d => d + "%"))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", -margin.left)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text(data.y))
color = "steelblue"
height = 400
margin = ({top: 30, right: 0, bottom: 30, left: 50})
d3 = require("d3@5")
import {alegreya} from "@mrdcy/globals"
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.
