Data Science and COVID-19About
This project analyses publicly available data on the COVID-19 pandemic and identifies trends and patterns using the pandas data analysis framework. The goals are:
- to show how freely available Data Science tools can be used to understand COVID-19 data
- help understand key aspects about the evolution of the Coronavirus
Installation
If you want to modify the graphs and python code yourself, refer to the installation and usage instructions in the git repository
Acknowledgements
- All data sets are collected, validated and published by the European Centre for Disease Prevention and Control.
- Website written using Jekyll and hosted on GitHub Pages
- Icons provided by Icons8
- Graphs and analysis written in Python and Pandas
Author
This site is put together by Paul Newton. I hold a PhD in Computer Science and am interested in Data Science and Machine Learning. I currently work in the IT and Finance sector. Contact details in the footer below.