dataviz & research
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 RenderCoronavirus Deaths by Race / EthnicityHow 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 distancingStates 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
COVID-19 Countries Trajectories in 3D
md`Data prepared by [@fil](https://observablehq.com/@fil) in [this notebook](https://observablehq.com/@fil/covid-19-derived-chart) original data from [Johns Hopkins’ CSSE](https://systems.jhu.edu/).`
html`<button onclick="javascript:randomize();">Randomize!</button>`
//startAnimation()
allDates.indexOf("2020-03-23")
allSeries[0][1]
allSeries
{
// from plotly.js sample code
function unpack(rows, key) {
return rows.map(function(row)
{ return row[key];
});
}
var all_data = [];
var all_data_init = [];
var nbCharts = 1 // shadows ? 1: 4;
var china = allSeries.filter(d => d[0] == "China")[0][1]
var last_china = china[china.length - 1][1];
var italy = allSeries.filter(d => d[0] == "Italy")[0][1]
var last_italy = italy[italy.length - 1][1];
var iran = allSeries.filter(d => d[0] == "Iran")[0][1]
var last_iran = iran[iran.length - 1][1];
var france = allSeries.filter(d => d[0] == "France")[0][1]
var last_france = france[france.length - 1][1];
var var_x = 'confirmed';
var var_y = 'recovered'
var var_z = 'deaths'
const NB_FRAMES = china.length;
var frames = d3.range(NB_FRAMES).map(function(d) { return {
name: 'frame_' + d,
data: [],
group: 'all'
};
})
var r = []
allSeries.forEach(function(e, j) {
d3.range(nbCharts).forEach(function(k, l) {
var s = d3.range(nbDates).map(d => e)
//var s = []
allSeries[j][1].map(function(d) {
s[allDates.indexOf(d[0])] = d[1]
// s.push(d[1])
})
r.push(s)
//s.forEach(function(d, i) {
// if(d == -1) {
// if(i > 0)
// s[i] = s[i-1]
// else
// s[i] = 0;
// }
//})
var x = unpack(s, 'confirmed');
var y = unpack(s, 'recovered');
var z = unpack(s, 'deaths');
// var data = {
// type: 'scatter3d',
// name: e[0],
// mode: 'lines',
// x: k == 1 ? x.map(d => 0): x,
// y: k == 2 ? y.map(d => 0): y,
// z: k == 3 ? z.map(d => 0): z,
// opacity: k > 0 ? .2: 1,
// line: {
// width: k > 0 ? 4: 8,
// color: k > 0 ? "gray": e[0] == "Italy" ? "green": e[0] == "China" ? "darkpink": color(e[0]),
// reversescale: false,
// simplify: false
// }
// }
// var data_init = {
// type: 'scatter3d',
// name: e[0],
// mode: 'lines',
// x: [0],
// y: [0],
// z: [0],
// opacity: k > 0 ? .2: 1,
// line: {
// width: k > 0 ? 4: 8,
// color: k > 0 ? "gray": e[0] == "Italy" ? "green": e[0] == "China" ? "darkpink": color(e[0]),
// reversescale: false
// }
// }
//e[0] == "China" ? all_data.push(data): null;
//e[0] == "China" ? all_data_init.push(data_init): null;
d3.range(NB_FRAMES).map(function(d) {
var data_frame = {
type: 'scatter3d',
name: e[0],
mode: 'lines',
x: x.slice(0, d),
y: y.slice(0, d),
z: z.slice(0, d),//.map(d => 0),
opacity: k > 0 ? .2: 1,
line: {
width: k > 0 ? 4: 8,
color: k > 0 ? "gray": e[0] == "Italy" ? "green": e[0] == "China" ? "darkpink": color(e[0]),
reversescale: false
}
}
// Create the frame:
frames[d].data.push(data_frame)
})
});
});
const div = DOM.element('div');
div.id = "3Dchart";
var layout = {
autosize: false,
width: 800,
height: 600,
showlegend: false,
margin: {
l: 10,
r: 0,
b: 20,
t: 30,
pad: 4
},
scene: {
// https://plot.ly/javascript/tick-formatting/
// Annotations https://plot.ly/javascript/text-and-annotations/
annotations: [{
showarrow: false,
x: last_china[var_x],
y: last_china[var_y],
z: last_china[var_z],
text: "China",
font: {
color: "black",
size: 12
},
xanchor: "left",
xshift: 10,
opacity: 0.7,
arrowcolor: "black",
arrowsize: 3,
arrowwidth: 1,
arrowhead: 1
},{
showarrow: false,
x: last_italy[var_x],
y: last_italy[var_y],
z: last_italy[var_z],
text: "Italy",
font: {
color: "black",
size: 12
},
xanchor: "left",
xshift: 10,
opacity: 0.7,
arrowcolor: "black",
arrowsize: 3,
arrowwidth: 1,
arrowhead: 1
}, {
showarrow: false,
x: last_iran[var_x],
y: last_iran[var_y],
z: last_iran[var_z],
text: "Iran",
font: {
color: "black",
size: 12
},
xanchor: "left",
xshift: 10,
opacity: 0.7,
arrowcolor: "black",
arrowsize: 3,
arrowwidth: 1,
arrowhead: 1
},{
showarrow: false,
x: last_france[var_x],
y: last_france[var_y],
z: last_france[var_z],
text: "France",
font: {
color: "black",
size: 12
},
xanchor: "left",
xshift: 10,
opacity: 0.7,
arrowcolor: "black",
arrowsize: 3,
arrowwidth: 1,
arrowhead: 1
}],
xaxis:{title: 'confirmed', //nticks: 7,
zeroline: false
},
yaxis:{title: 'recovered', zeroline: false},
zaxis:{title: 'death', zeroline: false},
},
// https://github.com/d3/d3-time-format
title: 'COVID-19 (' + formatTime(currentTime) + ', 2020)',
height: 450 * width / 700,
yaxis: {
title: 'confirmed',
}
};
Plotly.newPlot(div, frames[frames.length - 1].data, layout)
// .then(function() {
// Plotly.addFrames(div, frames);
// });
return r;
}
function startAnimation(groupOrFrames, mode) {
var div = document.getElementById('3Dchart')
Plotly.animate('3Dchart', 'all', {
transition: {
duration: 500,
easing: 'linear'
},
frame: {
duration: 500,
redraw: true,
},
mode: 'immediate'
});
return r;
}
// from plotly.js sample code
function unpack(rows, key) {
return rows.map(function(row)
{ return row[key];
});
}
md`# TODO
* Automatically rotate https://codepen.io/etpinard/pen/mBVVyE?editors=0010
* Drop-down to select countries labels to display
* Add time animation
`
formatTime = d3.timeFormat("%B %d")
currentTime = Date.now()
grpData = d3.nest().key(d => d.ymd).rollup(function(v) { return {
values: v,
count: v.length,
total_: d3.sum(v, function(d) { return d.amount; }),
avg: d3.mean(v, function(d) { return d.amount; })
}}).entries(rawData)
import {data as cleanData, allSeries, countries} from "@fil/covid-19-derived-chart"
grpCleanData = d3.nest().key(d => d.ymd).key(d => d.type).rollup(function(v) { return {
values: v,
count: v.length,
__total_cases: d3.sum(v, function(d) { return d.cases; }),
__total_total: d3.sum(v, function(d) { return d.total; })
}}).entries(cleanData)
grpCleanDataByCountry = d3.nest().key(d => d.ymd).key(d => d.type).key(d => d.country).rollup(function(v) { return {
values: v,
count: v.length,
__total_cases: d3.sum(v, function(d) { return d.cases; }),
__total_total: d3.sum(v, function(d) { return d.total; })
}}).entries(cleanData)
color = (countries,
d3.scaleOrdinal(
d3.schemeCategory10.concat(d3.schemeSet2).concat(d3.schemeDark2)
))
dt = grpCleanData.map(d => ({"death": d.values[0].value.__total_total, "confirmed": d.values[1].value.__total_total, "recovered": d.values[2].value.__total_total}) )
allSeries
allDates = allSeries[151][1].map(d => d[0])
nbDates = allDates.length
d3.range(nbDates)
d3 = require("d3@5")
import { checkbox, select, slider } from "@jashkenas/inputs"
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