The avatar for @dotorres
Denis Torres
Ten years of experience designing hardware and developing software for the gas turbine industry (Aerospace and Energy). My goal is to continuously increase productivity and quality developing software, data analysis and graphical interfaces.
Published
Covid-19
Edited
Mar 31, 2021
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covidData = d3.csv("https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/owid-covid-data.csv",d3.autoType)
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notCountries = ["Africa","Asia","Europe","European Union","International","North America","South America","Oceania","World"]
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covidDataClean = covidData.filter(row => !new Set(notCountries).has(row.location))
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covidTimelineDataGroupedByCountry = d3.group(covidDataClean, d => d["location"])
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covidTimelineDataGroupedByDateAndCountry = d3.group(covidDataClean, d => new Date(d["date"]))
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covidTimelineDataGroupedByDateAndContinent = d3.group(covidDataClean, d => new Date(d["date"]),d=>d.continent)
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countries = [...covidDataGroupedByCountry.keys()]
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countryGeo = d3.csv("https://raw.githubusercontent.com/DoTorr/UCF/main/countries_codes_and_coordinates.csv",d3.autoType,)
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countryLat = d3.rollup(countryGeo, c => c[0].Latitude, d => d["Alpha-3-code"])
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countryLong = d3.rollup(countryGeo, c => c[0].Longitude, d => d["Alpha-3-code"])
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md`#### Date Information`
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viewof days = Input(42)
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dates = Array.from(covidTimelineDataGroupedByDateAndCountry.keys()).sort((a, b) => a - b)
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date=dates[dayIndex]
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dateContinent=dates[days]
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import {Input, Range, bind, html} from "@observablehq/inputs"
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