The purpose of this project is to predict and track the average number of coronavirus cases around the world.
- Data Visualisation
- Machine Learning
- Predictive Modeling
- etc.
- Python
- Github
- AWS
- Android Studio
- etc.
This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).
Visual Dashboard (desktop):
https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
Visual Dashboard (mobile):
https://www.arcgis.com/apps/opsdashboard/index.html#/85320e2ea5424dfaaa75ae62e5c06e61
Lancet Article:
[An interactive web-based dashboard to track COVID-19 in real time](https://doi.org/10.1016/S1473-3099(20)30120-1)
Provided by Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE):
https://systems.jhu.edu/
The data of Indian states and districts were extracted from : https://api.covid19india.org/csv/