Chicago Population PyramidsDistricting for the Chicago Public Schools elected boardCharter EnrollmentChicago Births, 1989-2022CPS Decline and Market ShareDeclines in Pre-K Enrollment at CPSChicago Public School Enrollment ProjectionsCPS Cohort sizesCPS and Illinois report different graduation rates for Chicago high schoolsTrends in tier scores at CPS Selective Enrollment High SchoolsTier Scoreschoice and offersApproximate Distance to School Estimations
Illinois Births, Total
race_county_black_collar = race_county_black.filter((d) =>
new Set(["DuPage", "Kane", "Lake", "McHenry", "Will"]).has(d.CountyName)
)
race_county_raw = {
let all_years = [];
for (const year of d3.range(2010, 2021)) {
const response = await fetch(
`https://idph.illinois.gov/DPHPublicInformation/api/Statistics/getRaceBirthDemographicsByCountyYear?year=${year}&countyName=`
);
const data = await response.json();
all_years = [...all_years, ...data];
}
return all_years;
}
Plot.plot({
facet: {
data: race_county_black,
x: "CountyName",
columns: 5
},
fx: { padding: 0.25 },
y: {
grid: true,
label: "Births",
type: "log"
},
x: {
nice: true,
label: "year"
},
marks: [
Plot.frame(),
Plot.line(race_county_black, {
z: "CountyName",
x: (d) => new Date(d.Report_Year.toString()),
y: "Births",
sort: { fx: "y", reduce: "last" }
}),
Plot.text(
race_county_black,
Plot.selectFirst({
text: "CountyName",
y: 2,
dy: 18,
dx: -40,
textAnchor: "start",
fontWeight: "bold"
})
)
]
})
race_county_black = race_county_raw.filter(
(d) =>
d.Demographic === "Black" &&
d.CountyName !== "Illinois" &&
d.Report_Year > 2011 &&
black_births_in_2012.has(d.CountyName)
)
black_births_in_2012 = new Set(
race_county_raw
.filter(
(d) => d.Report_Year === 2012 && d.Demographic === "Black" && d.Births > 0
)
.map((d) => d.CountyName)
)
Plot.plot({
y: { grid: true, nice: true, label: "Births", tickFormat: ",%" },
x: {
nice: true,
label: "year"
},
marks: [
Plot.line(
relative_race.filter(
(d) =>
d.Demographic === "Black" &&
new Set([
"DuPage",
"Kane",
"Lake",
"McHenry",
"Will",
"Cook",
"Chicago"
]).has(d.CountyName) &&
d.Report_Year > 2011
),
{
z: "CountyName",
x: (d) => new Date(d.Report_Year.toString()),
y: "Births"
}
)
]
})
illinois_demos = race_county_raw.filter((d) => d.CountyName === "Illinois")
relative_race = race_county_raw.map((d) => ({
...d,
Births:
d.Births /
illinois_demos.find(
(e) => e.Report_Year === d.Report_Year && e.Demographic === d.Demographic
).Births
}))
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