Real-time ICU beds occupancy rate in the State of Sao Paulo, Brazil

This ShinyApp is part of the course Developing Data Products of the Coursera Data Science Specialization.

Instructions:

• Write a shiny application with associated supporting documentation. The documentation should be thought of as whatever a user will need to get started using your application.
• Deploy the application on Rstudio's shiny server
• Share the application link by pasting it into the provided text box
• Share your server.R and ui.R code on github

This application automatically connects to the SEADE foundation public database and shows the evolution of the occupancy rate of ICU beds in real time.

https://github.com/seade-R/dados-covid-sp/blob/master/data/plano_sp_leitos_internacoes.csv

This prototype is a demonstration of what can be done with all public epidemiological databases in Brazil.

The application is running on

https://msrcos3s.shinyapps.io/ICU_SP/

1. As the database is large, please, wait a few seconds for the graphing function to load.
2. With the application running, select the region of interest to view the evolution of ICU occupancy over time.
3. The graph is interactive and automatically adjusts to the size of your screen, so you can zoom in to see more details.

ui.R and server.R codes are in my GitHub repository, as well a copy of this presentation.

https://github.com/msrcos3s/shiny-application

If you have any suggestions, please fell free to commit in GitHub.

Thank you!