#testing verified commit
I study data, risk and quantiative approaches in various domains including bioinformatics and digital epidemiology. Given current situation it felt natural to visualize and track global/Montenegro statistics, implement basic SIR models, do tweeter analysis and little bit more. Hopefully its not too bad :)
The Coronavirus Dashboard
This Coronavirus dashboard provides an overview of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic. This dashboard is built with R using the Rmakrdown framework and can easily reproduce by others. The code behind the dashboard available here
Data
The input data for this dashboard is the Public Health Institute of Montenegro (IJZCG) official data.. The data and dashboard is refreshed on a daily bases. The raw data is available here
Packages
- Dashboard interface - the flexdashboard package.
- Visualization - the plotly package for the plots and leaflet for the map
- Data manipulation - dplyr, and tidyr
- Tables - the DT package
Deployment and reproducibly
The dashboard was deployed to Github docs. If you wish to deploy and/or modify the dashboard on your Github account, you can apply the following steps:
- Fork the dashboard repository, or
- Clone it and push it to your Github package
- Here some general guidance about deployment of flexdashboard on Github page - link
For any question or feedback, you can either open an issue or contact me on Twitter.
Contribution
The Map tab was contributed by Art Steinmetz on this pull request. Thanks Art!