Published
Edited
Jan 17, 2022
Importers
1 star
function getSpiralAreaVeryHigh(data) {
const data3 = data.map((d, i) => [
(2 * Math.PI * moment(d.date).dayOfYear()) / 365,
d.highlightCritical
? startRadious +
areaHeight * 2 * (1 + i / 365) -
d.relativeSize * areaHeight
: startRadious + areaHeight * 2 * (1 + i / 365),
d.highlightCritical
? startRadious +
areaHeight * 2 * (1 + i / 365) +
d.relativeSize * areaHeight
: startRadious + areaHeight * 2 * (1 + i / 365)
]);
return areaGenerator(data3);
return data;
}
function getMaxCasesPerMillion(data) {
return _.chain(data)
.maxBy((d) => d.value)
.value()["valuePerMillion"];
}
higlightThresholdCritical = 3
_.chain(dataWorld)
.filter((d) => d.location == "United States")
.slice(700, 800)
.value()
data_ = {
const data = _.chain(dataExcessDeaths)
.filter(
(d) =>
(dictCode[d.iso3c] && dictCode[d.iso3c]["location"]) == selectedCountry
)
.value();
const max = _.chain(data)
.map((d) => +d["cumulative_estimated_daily_excess_deaths_per_100k"] || 0)
.max()
.value();
return data.map((d) => ({
date: d.date,
relativeSize: +d["cumulative_estimated_daily_excess_deaths_per_100k"]
? +d["cumulative_estimated_daily_excess_deaths_per_100k"] / max
: 0,
value: +d["cumulative_estimated_daily_excess_deaths_per_100k"],
valuePerMillion:
+d["cumulative_estimated_daily_excess_deaths_per_100k"] * 10,
highlight:
+d["cumulative_estimated_daily_excess_deaths_per_100k"] >=
higlightThreshold,
highlightCritical:
+d["cumulative_estimated_daily_excess_deaths_per_100k"] >=
higlightThresholdCritical
}));
}
moment = require("moment")
import { groupedSelect, style_bootstrap } from "@elaval/utils"
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.
