Public
Edited
Apr 4, 2023
Plot.plot({
x: { tickRotate: 45 },
width: '1000',
marginLeft: 150,
marginBottom: 50,
marks: [
Plot.cell(dataCells, {
x: 'year',
y: 'tech',
fill: 'value'
})],
color: {
type: "pow",
scheme: "oranges"
},
})
wrappedTechs= ({
"AWS":["AWS CloudFront","AWS Route 53","AWS S3"],
"APIs":["Dropbox API","Google Photos API","web sound API"],
"Git & Github":["Git","Github"],
"Advanced JS":["Javascript Generators"],
"Java":["Java Spring"],
"Node": ["Nodemon", "Npm"],
"*":["Rake","Release-it","xml2json","writing"],
"Ruby on Rails": ["Ruby"],
"SEO":["Seo sitemaps"],
"Web Debugging":["SourceMaps","Chrome Lighthouse"],
"CI/CD":["TravisCI"],
"Web Testing":["Taiko"],
"Typescript":["Ts-node"],
"PWA":["Web Manifest"]
})
dataCells2 = Object.keys(dataWithCounts)
.flatMap(key => Object.keys(dataWithCounts[key])
.map(year => ({tech: key, year: year, value: dataWithCounts[key][year]})))
// Copyright 2021 Observable, Inc.
// Released under the ISC license.
// https://observablehq.com/@d3/normalized-stacked-area-chart
function StackedAreaChart(data, {
x = ([x]) => x, // given d in data, returns the (ordinal) x-value
y = ([, y]) => y, // given d in data, returns the (quantitative) y-value
z = () => 1, // given d in data, returns the (categorical) z-value
marginTop = 20, // top margin, in pixels
marginRight = 30, // right margin, in pixels
marginBottom = 30, // bottom margin, in pixels
marginLeft = 40, // left margin, in pixels
width = 640, // outer width, in pixels
height = 400, // outer height, in pixels
xType = d3.scaleUtc, // type of x-scale
xDomain, // [xmin, xmax]
xRange = [marginLeft, width - marginRight], // [left, right]
yType = d3.scaleLinear, // type of y-scale
yDomain, // [ymin, ymax]
yRange = [height - marginBottom, marginTop], // [bottom, top]
zDomain, // array of z-values
offset = d3.stackOffsetExpand, // stack offset method
order = d3.stackOrderNone, // stack order method
yLabel, // a label for the y-axis
xFormat, // a format specifier string for the x-axis
yFormat = "%", // a format specifier string for the y-axis
colors = d3.schemeTableau10, // an array of colors for the (z) categories
} = {}) {
// Compute values.
const X = d3.map(data, x);
const Y = d3.map(data, y);
const Z = d3.map(data, z);
// Compute default x- and z-domains, and unique the z-domain.
if (xDomain === undefined) xDomain = d3.extent(X);
if (zDomain === undefined) zDomain = Z;
zDomain = new d3.InternSet(zDomain);
// Omit any data not present in the z-domain.
const I = d3.range(X.length).filter(i => zDomain.has(Z[i]));
console.log({X,Y,Z, xDomain, zDomain, I})
// Compute a nested array of series where each series is [[y1, y2], [y1, y2],
// [y1, y2], …] representing the y-extent of each stacked rect. In addition,
// each tuple has an i (index) property so that we can refer back to the
// original data point (data[i]). This code assumes that there is only one
// data point for a given unique x- and z-value.
const series = d3.stack()
.keys(zDomain)
.value(([x, I], z) => Y[I.get(z)])
.order(order)
.offset(offset)
(d3.rollup(I, ([i]) => i, i => X[i], i => Z[i]))
.map(s => s.map(d => Object.assign(d, {i: d.data[1].get(s.key)})));
// Compute the default y-domain. Note: diverging stacks can be negative.
if (yDomain === undefined) yDomain = d3.extent(series.flat(2));
// Construct scales and axes.
const xScale = xType(xDomain, xRange);
const yScale = yType(yDomain, yRange);
const color = d3.scaleOrdinal(zDomain, colors);
const xAxis = d3.axisBottom(xScale).ticks(width / 80, xFormat).tickSizeOuter(0);
const yAxis = d3.axisLeft(yScale).ticks(height / 50, yFormat);
const area = d3.area()
.x(({i}) => xScale(X[i]))
.y0(([y1]) => yScale(y1))
.y1(([, y2]) => yScale(y2));
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
.attr("viewBox", [0, 0, width, height])
.attr("style", "max-width: 100%; height: auto; height: intrinsic;");
svg.append("g")
.selectAll("path")
.data(series)
.join("path")
.attr("fill", ([{i}]) => color(Z[i]))
.attr("d", area)
.append("title")
.text(([{i}]) => Z[i]);
svg.append("g")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(xAxis)
.call(g => g.select(".domain").remove());
svg.append("g")
.attr("transform", `translate(${marginLeft},0)`)
.call(yAxis)
.call(g => g.select(".domain").remove())
.call(g => g.selectAll(".tick line")
.filter(d => d === 0 || d === 1)
.clone()
.attr("x2", width - marginLeft - marginRight))
.call(g => g.append("text")
.attr("x", -marginLeft)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text(yLabel));
return Object.assign(svg.node(), {scales: {color}});
}
import {Swatches} from "@d3/color-legend"
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.
