Andy's Walgreens COVID-19 Tracker TrackerBelgium Vaccination Tracker - Progress of the vaccination campaignVaccination against covid-19 in France500,000 COVID-19 DeathsCovid-19 vaccinations: BubblesTime Spiral with a COVID DemoCOVID MasksGrid Cartogram component with live COVID demos (plus a MapEditor)The US COVID SyringeCOVID-19 DKCOVID-19 World Community Mobility Report by GoogleCOVID 19Chicago COVID ZIP SparklinesThe COVID Syringeభారతదేశంలో కోవిడ్-19SVG DataGrid with many features and a live COVID Dashboard demoThe spread of Covid-19 in New MexicoHeatmap of COVID-19 Confirmed Cases by Age over Time in JapanThe CoViD-19 ReportCovid19 WorldwideMassachusetts Coronavirus Cases by TownChoropleth map about Covid19 in FranceWell ordered coronavirus heatmaps for US and the WorldCOVID-19 Racial/Ethnic Mortality AnalysisProPublica's COVID Arrow MapClustering students to slow virus spread inside schoolsCOVID-19 in the USAWho Is Wearing Masks in the U.S.Covid-19 Viz RoundupCoronavirus StatsThe Covid-19 Crisis' Impact on the Number of US Flight PassengersCOVID-19 Daily New CasesCOVID-19 CasesCOVID–19 Bubble Chart with D3 RenderHow many SARS-CoV-2 tests are we running in the U.S.?COVID-19 Onset vs. ConfirmationPeaks in confirmed daily deaths due to COVID-19 so farCOVID-19 in the U.S.Recreating John Burn-Murdoch’s Coronavirus trackerTracking COVID-19 Cases in VietnamCOVID-19 in NYC by Zip Code & IncomeVisualizing the Network Meta-Analysis of Covid-19 Studiesxkcd COVID-19 spread sketchCOVID-19's deaths in EuropeCovid-19 (corona virus) deaths per 1,000,000 peopleCOVID-19 Bubble map or spike map? (Twitter debate)A Timeline of Shelter-in-PlaceWhere’s that $2 trillion going?Estimating SARS-COV-2 infectionsCODAVIM - CountySARS-CoV-2 Epi CurveCOVID-19 Curves (U.S.)COVID-19 Cases by CountyCOVID-19 world growth rateA graphical experiment of exponential spreadCOVID-19 by US countyCOVID-19 Confirmed vs. New cases"Live" Logistic Coronavirus Death CounterInfografiche: COVID-19 in ItaliaCoronavirus (COVID-19) GlobeBar Chart Race, COVID-19 outbreak Worldwide to 24th March 2020US Coronavirus testing by statesUnited States Coronavirus Daily Cases Map (COVID-19)COVID-19 Numbers by State, Side by SideRecreating NYT U.S. Cases MapCOVID-19 in Washington stateCOVID-19 outbreak in maps and chartsCOVID-19 Spreading trendsRestaurants during COVID-19 social distancingCOVID-19 Countries Trajectories in 3DStates that aren't reporting aspects of their COVID-19 testing processNextstrain Prototyping - Issue 817Reviewing COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxivCoronavirus worldwide evolutionCovid-19 New Cases PunchcardCovid-19 cases per district in Germany.COVID-19 Cases, Deaths, and Recoveries (Select Country)Quarantine NowEmissions in WuhanCOVID-19(nCOV-2019) Outbreak in S.KoreaMovement of population between provinces in 2019-nCoVComparing COVID-19 GrowthCovid-19 derived chartCoronavirus Trends (COVID-19)Netherlands Coronavirus Daily Cases Map (COVID-19)Map and timeline of Corona outbreakSARS-CoV-2 Phylogenetic TreeCoronavirus data (covid-19)Visualizing the Logic of Exponential Viral SpreadItaly Coronavirus Daily Cases Map (COVID-19)COVID-19 Fatality Rate
Coronavirus Deaths by Race / Ethnicity
xScale = d3.scaleLinear()
.domain([0, 100])
.range([0, 0.25*width - smallpadding])
color = ["#76b7b2", "red", "#edc949", "#9f3303", "#59a14f"]
colorArray = d3.scaleOrdinal(["White", "Black", "Hispanic", "AAPI", "Other"], color)
padding = 17
smallpadding = 10
width = 700
height = 1600
cases = d3.csvParse(await FileAttachment("corona_deaths_race@6.csv").text(), ({State, White, Black, Hispanic, Asian, Other}) => ({state: State, data: stack(level([+White, +Black, +Hispanic, +Asian, +Other]))}))
populationData = {
let tempArray = [];
rawPopulationData.forEach((d,i) => {
if( d["Year.display-label"] == "July 1, 2018" && d["Sex.id"] == "totsex" && d["Hisp.id"] == "nhisp" ) {
let totpop = +rawPopulationData[i+1].totpop;
tempArray.push({
state: d["GEO.display-label"],
data: stack(level([
round(+d.wa/totpop*100, 2),
round(+d.ba/totpop*100, 2),
round(+rawPopulationData[i-1].totpop/totpop*100, 2),
round((+d.aa + +d.na)/totpop*100, 2),
/*round(+d.ia/totpop*100, 2),*/
round(100 - (round(+d.wa/totpop*100, 2) + round(+d.ba/totpop*100, 2) + /*round(+d.ia/totpop*100, 2) +*/ round((+d.aa + +d.na)/totpop*100, 2) + round(+rawPopulationData[i-1].totpop/totpop*100, 2)), 2)]))
})
}
})
let tot = [8537673, 2737163, 1899379, 2489089, 1247479, 164563];
tempArray.push({
state: "New York City",
data: stack([
round(tot[1]/tot[0]*100, 2),
round(tot[2]/tot[0]*100, 2),
round(tot[3]/tot[0]*100, 2),
round(tot[4]/tot[0]*100, 2),
round(100 - (round(tot[1]/tot[0]*100, 2)+round(tot[2]/tot[0]*100, 2)+round(tot[3]/tot[0]*100, 2)+round(tot[4]/tot[0]*100, 2)),2) ])
});
return tempArray;
}
rawPopulationData = {
const text = await FileAttachment("PEP_2018_PEPSR6H_with_ann.csv").text();
return d3.csvParse(text);
}
function round(num, places) {
var multiplier = Math.pow(10, places);
return Math.round(num * multiplier) / multiplier;
}
function stack(d) {
let sum = 0;
let array = [];
for(let i = 0; i <= d.length - 1; i++) {
array.push([round(sum, 2), round(sum + d[i], 2)]);
sum += d[i];
}
return array;
}
function level(d) {
let sum = d3.sum(d);
let array = [];
for(let i = 0; i <= d.length - 2; i++) {
array[i] = round(d[i]*(100/sum), 2);
}
array[d.length-1] = round(100 - d3.sum(array), 2);
return array;
}
import {legend} from "@d3/color-legend"
d3 = require("d3@5", "d3-random@2")
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