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Automatically scrape data and statistics on Coronavirus to make them easily accessible in CSV format

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Bumps [jupyter-core](https://github.com/jupyter/jupyter_core) from 4.6.1 to 4.11.2. Release notes Sourced from jupyter-core's releases. 4.11.1 What's Changed Fix inclusion of jupyter file and check in CI by @​blink1073 in jupyter/jupyter_core#276 Full Changelog:...

dependencies

Bumps [pypdf2](https://github.com/py-pdf/PyPDF2) from 1.26.0 to 1.27.9. Release notes Sourced from pypdf2's releases. Version 1.27.9, 2022-04-24 What's Changed A change I would like to highlight is the performance improvement for large...

dependencies

Bumps [requests](https://github.com/psf/requests) from 2.22.0 to 2.31.0. Release notes Sourced from requests's releases. v2.31.0 2.31.0 (2023-05-22) Security Versions of Requests between v2.3.0 and v2.30.0 are vulnerable to potential forwarding of Proxy-Authorization...

dependencies

Bumps [lxml](https://github.com/lxml/lxml) from 4.6.5 to 4.9.1. Changelog Sourced from lxml's changelog. 4.9.1 (2022-07-01) Bugs fixed A crash was resolved when using iterwalk() (or canonicalize()) after parsing certain incorrect input. Note...

dependencies

https://www.abc.net.au/news/2020-04-10/coronavirus-data-australia-growth-factor-covid-19/12132478 E.g using 5 day moving average to avoid volatility

When notebooks fail in the pipeline they should be stored in artifacts so that they can be debugged later.

Should keep track of these artifacts (html, screenshots, PDF...)