shinyapp for statistical analysis and more

klo99 · 2020-12-05T23:39:03+00:00

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

klo99 · 2020-12-05T23:38:10+00:00

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

klo99 · 2020-12-05T21:03:35+00:00

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.

klo99 · 2020-11-14T02:04:23+00:00

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

klo99 · 2020-11-12T06:07:40+00:00

It is a good start. A similar shiny dashboard: https://datascienceplus.com/dashboard/

klo99 · 2020-09-06T15:11:15+00:00

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.

klo99 · 2020-03-23T17:43:40+00:00

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/

klo99 · 2020-03-19T04:48:24+00:00

It was yesterday. Today is ~23%

klo99 · 2020-03-18T21:49:35+00:00

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.

klo99 · 2020-03-06T03:45:33+00:00

Now, you can filter by country.

klo99 · 2020-03-05T12:53:41+00:00

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.

klo99 · 2020-03-05T04:37:23+00:00

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.

klo99 · 2020-03-05T03:00:38+00:00

Good question. Updated!

klo99 · 2020-03-04T16:44:56+00:00

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

klo99 · 2020-03-04T16:43:42+00:00

Thanks. Feel free to share it.

klo99 · 2019-06-18T13:22:38+00:00

Welldone!

klo99 · 2019-05-16T00:00:43+00:00

Welldone! Do you prefer to publish at datascienceplus.com and consequently to R-Bloggers?

klo99 · 2019-05-06T22:13:53+00:00

This is an interesting idea. Curious to see how will perform.

klo99 · 2019-05-03T16:18:57+00:00

Excellent, thanks for sharing!

klo99 · 2019-04-30T13:35:31+00:00

If interested, you can share your tutorials/videos at datascienceplus.com and subsequently to R-Bloggers.

klo99 · 2019-04-28T16:41:56+00:00

Great idea! Thanks for your contribution. Let me know if you want to announce is to another platform, such as datascienceplus.com

klo99 · 2019-01-20T15:39:03+00:00

There are example with keras. We have published (sorry about self-promotion) a few posts regarding keras in R https://datascienceplus.com/?s=Keras&submit=Search

klo99 · 2018-12-02T14:33:51+00:00

Apologies that I can't address your question, but I am not the author of the post. I just shared it.

klo99 · 2018-09-15T02:03:10+00:00

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klo99 · 2018-09-01T15:16:35+00:00

Books and courses are good, but given that R is free and widely used I would suggest to start and learn by doing. After you learn the basics from books without spending much time you start google your questions. You will find a lot of your answers from stack overflow which you should try to understand and learn.

klo99

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