This was a small data science project I conducted for my own enlightenment. It is difficult to interpret quantitatively the impact of the pandemic, one way to make that easier is to contrast the deaths with the usual mortality rate on the affected countries. It is clear from the data that in some countries the pandemic is having a large impact on that number.
When we consider that the disease impact is not uniform in a country, and may concentrate on a few cities/regions, it is easy to see how existing health infrastructure may become overwhelmed.
(c̸) 2020 Eduardo Valle. This software is in Public Domain; it is provided "as is" without any warranties. Please check LICENSE.md.
The data sources used by this software may be subjected to their own licenses and restrictions.
To run this notebook you need Python, jupyter, NumPy, pandas, lxml, and Matplotlib. In addition, it requires imageio to create the animated plot, and pygifsicle to compress the size of the animation. Please check requirements.txt.
The new versions of Python seem to require explicit installation of root certificates (at least in OS X). If you encounter a CERTIFICATE_VERIFY_FAILED error (or similar) try the following:
pip install certifi
CERT_PATH=$(python -m certifi)
export SSL_CERT_FILE=${CERT_PATH}
export REQUESTS_CA_BUNDLE=${CERT_PATH}