The avatar for @mkfreeman
Mike Freeman
Data visualization software enginner: working to make visualization more accessible, equitable, and impactful.
Published
Coronavirus
Edited
Apr 12, 2020
4 forks
Importers
56 stars
7
Coronavirus
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 Side
Recreating NYT U.S. Cases Map
COVID-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
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// Load the data with `d3.csv()`
raw_data = d3.csv(
"https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-states.csv"
)
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import { chart as aarons_chart } from "@aboutaaron/small-multiple-chart-cartogram"
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// Import his chart, but specify *our* data to use
import { chart } with {
formatted_data as data
} from "@aboutaaron/small-multiple-chart-cartogram"
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// Store a list of dates for our x scale
dates = {
// (need to find the min / max in the data)
const all_dates = [];
formatted_data.forEach(d => {
d.data.forEach(dd => {
if (all_dates.indexOf(dd.key) == -1) all_dates.push(dd.key);
});
});
return all_dates.sort((a, b) => new Date(a) - new Date(b)); // sort!
}
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// Get the maximum value (for the Y scale)
max_value = d3.max(formatted_data, d => d3.max(d.data.map(dd => +dd.value)))
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// Define our own x scale
my_x = d3
.scaleBand()
.domain(dates)
.range([0, state_size])
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// Define our own y scale
my_y = d3
.scaleLinear()
.domain([0, max_value])
.range([0, state_size + 100])
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// Importing my own version of the chart, with the data, labels, and scales specified
import { chart as forked_chart, state_size } with {
formatted_data as cartogram_data,
my_title as title,
my_first_x_label as first_x_label,
my_total_label as total_label,
my_y_height_label as y_height_label,
my_x as x,
my_format as format,
my_y as y
} from "@mkfreeman/small-multiple-chart-cartogram/2"
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// Also setting the formatter
my_format = d3.format(",")
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my_first_x_label = "Date of first case"
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my_y_height_label = "New cases each day"
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my_total_label = "Total cases"
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with_text_labels = await FileAttachment("with_text_labels.png").url()
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parseDate = d3.timeFormat("%b. %d")
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