Public
Edited
Dec 13, 2023
usa-cause-age.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
TODO:
collapse by year
group by age
filter out: year, total, age1-19
The usa-cause-age.csv dataset contains the fields we need:
date year/month
AgeGroup
AllCause: all deaths for that age group and cause
Then the number of deaths by cause
rawDataByAge[0]
dataUsa[0]
dataUsa = {
// const filtered = rawDataByAge.filter((e) =>
// stateCodes.includes(e["State Abbreviation"])
// );
const p = rawDataByAge.map((o) => {
const keys = Object.keys(o);
const newO = {};
keys.map((k) => {
if (k === "Date Of Death Year") newO["year"] = o[k];
if (k === "Date Of Death Month") newO["month"] = o[k];
if (k === "AllCause") newO["allCause"] = o[k];
if (k === "AgeGroup") newO["ageGroup"] = o[k];
});
return newO;
});
return p;
}
Plot.plot({
width: 1152,
insetLeft: 20,
insetRight: 60,
marks: [
Plot.frame({ anchor: "bottom" }),
Plot.dot(dataUsa, {
anchor: "bottom",
x: "date",
y: "deaths",
interval: "year",
fill: "#ddd",
stroke: "#000",
strokeWidth: 1
})
]
})
rawData = re
stateCodes = baseStates.map(({ Code }) => Code)
import { baseStates } from "@bratter/us-state-metadata"
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