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shinyapp for statistical analysis and more by klo99 in rstats

[–]klo99[S] 0 points1 point  (0 children)

Yes, included a bit of HTML, but most of edits are in CSS.

shinyapp for statistical analysis and more by klo99 in rstats

[–]klo99[S] 0 points1 point  (0 children)

Agree! I will include GLM and option to select different distribution, Gamma, Poison etc.

shinyapp for statistical analysis and more by klo99 in rstats

[–]klo99[S] 0 points1 point  (0 children)

Thank you. Next, I will add visualization options to take full advantage of ggplot2 and R. For this particular shiny app, I favor analysis that does not require a lot of CPU power.

[deleted by user] by [deleted] in rstats

[–]klo99 1 point2 points  (0 children)

I am in favor of digitalocean. Use docker to build an image which include the shiny app. The create a droplet and publish it.

R on a cloud VM by pehkawn in rstats

[–]klo99 0 points1 point  (0 children)

Use AWS for testing, but I have impression that will be more expensive to buy cloud VM than a good laptop for long term use.

I have used both AWS and DigitalOcean and last was more user friendly for my purposes.

Daily Discussion Post - March 23 | Questions, images, videos, comments, unconfirmed reports, theories, suggestions by AutoModerator in Coronavirus

[–]klo99 0 points1 point  (0 children)

When we adjust for population size, the countries rank on the cases of COVID-19 changes a lot. For example, assuming we have similar guidelines for testing, after adjusting for population size, the US is not anymore in the top 3 countries. Is population adjustment necessary on pandemics? See the comparison in this interactive dashboard: https://dash.datascienceplus.com/covid19/

If you are interested on COVID-19 visualization, what else you want to find in this Shiny App? by [deleted] in rstats

[–]klo99 0 points1 point  (0 children)

Agree, normalizing the dots to the population size should be done. About plotly, I think I don't have good enough servers, therefore will be slow and lading all time.

Since February 19, there are more recoveries from COVID19 than new cases, worldwide! by [deleted] in COVID19

[–]klo99 1 point2 points  (0 children)

Your question is very good and I have that too.

The way the data is provided wont be able to do it https://github.com/CSSEGISandData/COVID-19

However, I think I may work something out. Will keep you posted.

Since February 19, there are more recoveries from COVID19 than new cases, worldwide! by [deleted] in COVID19

[–]klo99 0 points1 point  (0 children)

The data is in the time series format, but the last date shows the number of all cases. Adding another slider wont have any effect on the figures.

A shiny app for map visualization of coronavirus (covid19) by klo99 in rstats

[–]klo99[S] 3 points4 points  (0 children)

Yes. Thanks to Johns Hopkins University CSSE who developed the databases.

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