Idiom5: Bubble Map of H1B Petitions per City of 2022Idiom2: H1B Petition Count vs Unemployment RateIdiom3: H1B Sponsoring Rate per State in 2022Idiom4: Top 5 States per Year in terms of H1B Sponsoring RatesIdiom3 (prototypes): H1B Sponsoring Rate per State in 2022Idiom5 (prototypes): Bubble Map of H1B Petitions per City of 2017, 2018, 2021, 2022
Idiom1: CS related vs non-CS related jobs from 2017 to 2022
idiom1 = StackedAreaChart(idiom1Data, {
x: d => new Date(d.year, 0, 1),
y: d => d.h1b_count,
z: d => d.CS_related,
xType: d3.scaleTime,
xFormat: d3.format(".0f"),
xDomain: [new Date(2016, 12, 1), new Date(2022, 7, 1)],
yLabel: "↑ H1B Petitions",
yFormat: d3.format("s"),
width: 800,
height: 500
})
// Copyright 2021 Observable, Inc.
// Released under the ISC license.
// Modified from https://observablehq.com/@d3/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.stackOffsetDiverging, // stack offset method
order = d3.stackOrderNone, // stack order method
xFormat, // a format specifier string for the x-axis
yFormat, // a format specifier for the y-axis
yLabel, // a label for the y-axis
colors = d3.schemeTableau10, // array of colors for z
yRightFormat = ".0%", // a format specifier for the right y-axis
yRightLabel, // a label for the right y-axis
} = {}) {
// 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); // create a set that supports Date object as a key
// 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, 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 xAxis = d3.axisBottom(xScale).ticks(d3.timeYear.every(1));
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")
.attr("transform", `translate(${marginLeft},0)`)
.call(yAxis)
.call(g => g.select(".domain").remove())
.call(g => g.selectAll(".tick line").clone()
.attr("x2", width - marginLeft - marginRight)
.attr("stroke-opacity", 0.1))
.call(g => g.append("text")
.attr("x", -marginLeft)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text(yLabel));
svg.append("g")
.selectAll("path")
.data(series)
.join("path")
.attr("fill", ([{i}]) => color(Z[i]))
.attr("d", area)
.append("title")
.text(([{i}]) => Z[i]);
svg.append("g")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(xAxis);
const L = I.map(i => (Y[i]+Y[i+1])*0.5) // helper array, only 0,2,4,6,8,10 indices are meaningful here
const line = d3.line()
.curve(d3.curveLinear)
.x(i => xScale(X[i]))
.y(i => yScale(L[i]));
svg.append("path")
.attr("fill", "none")
.attr("stroke", "#ce5e5b")
.attr("stroke-width", 1.5)
.attr("stroke-linecap", "round")
.attr("stroke-linejoin", "round")
.attr("stroke-opacity", 1)
.attr("d", line([0,2,4,6,8,10]));
return Object.assign(svg.node(), {scales: {color}});
}
idiom1Data = FileAttachment("idiom1-data.csv").csv({typed: true})
import {Swatches} from "@d3/color-legend"
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