Covid-19 data

Kaggle has started a competition, which should result in better understanding of the spread of Covid-19. They provide us with a very interesting dataset (page: [kaggle](https://www.kaggle.com/covid19)) which can be used for non-machine learning oriented challenges, **such as visualizing the spread of Covid-19 using p5.js**

Additionally, you could implement **k-Means** and create **clusters** of countries that are similarly affected. I did that using following process:

1. get the data (using p5.Table) and **visualize** it for better understanding
2. get two features, namely the **number of new cases per day and the number of deaths per day**
3. I transformed the data in order to get the **total number of infections and deaths per day**
4. train a **ExponentialRegression** model on the data in order to get the relative increase in the number of infections and deaths per day (in %)
5. **visualize** all countries according to their percentages
6. **train** the **kMeans model** and see interesting patterns

My repo: https://github.com/moritzmitterdorfer/Covid-19-Clustering

In Europe the situation is quite stable at the moment, but I have heard it is increasingly dramatic in America, good luck!!