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View Code? Open in Web Editor NEWCoronavirus cases plotted by country, using Our World in Data and worldometers.info data
Home Page: https://gorkang.shinyapps.io/2020-corona/
License: MIT License
Coronavirus cases plotted by country, using Our World in Data and worldometers.info data
Home Page: https://gorkang.shinyapps.io/2020-corona/
License: MIT License
This makes the daily figures exaggerated (2 days worth of cases/deaths as if they happened in 1 day).
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ID: 91e77a361e4e
Cases
Deaths
Both
It's useful to compare countries in terms of delay between cases and deaths...
Check names
Work in progress!
Any help completing the table would be appreciated:
https://github.com/gorkang/2020-corona/blob/master/data/lockdown_countries.csv
When I set for just USA, cases, daily, not log - or for just USA, deaths, daily, not log - I get basically a straight line and then a huge jump for the most recent day, because the "most recent day" number is being mistakenly entered as the "total for all days" . This only happened a week or two ago, before that it was working better.
Also, include update date variable...
Also, this adds unnecessary redraws
As the number of cases grow into the thousands, it's easier to compare different trajectories starting at biggger number than the max allowed now (200)..
Cases, deaths and CFR
Also, is in 1/x, not %
From @sinafala via Twitter message
Be able to switch to actual Date
See data-preparation-menu function
downloadButton('downloadPlot','Download Plot'),
output$downloadPlot <- downloadHandler(
filename = function(){paste("input$plot3",'.png',sep='')},
content = function(file){
ggsave(file,plot=data$plot)
"different countries employ very different strategies in testing"
See https://twitter.com/miroslavsirota/status/1240388417147613185
Sometimes it does not download the plot you have in front of you. It probably downloads a plot other user is seeing.
From: https://twitter.com/PhBocquier/status/1240314253627834371
Option to get the rates per million inhabitants?
UN World Population Prospect data: https://cran.r-project.org/web/packages/wpp2019/index.html
See https://twitter.com/ikashnitsky/status/1240329167327170563
Check timestamp of temp_worldometers.html and fetch worldometers only if time difference is > 1h to reduce load on worldometers servers.
@zentree: Sugerencia: cuando pasa de escala logarítmica a escala lineal, el máximo de Y podrías ser reducido. En este momento, se pierde mucha resolución con el máximo en 1.000.000.
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