This project serves two purposes:
- Have a quick and easy way to play around with JHU's Covid-19 data
- Provide an easily accessible way to all visualisations through a web interface
Hosting: covid.simonfeiden.com - Thanks to @siFeiden!
- clone repo to your machine
- in repo:
git submodule update --init jupyter notebook- load the
non-interactive-plotsnotebook - explore
Use pipenv to install and run voila --template=vuetify-default interactive-service.ipynb to start the webservice
PRs welcome! If you want to add new plots to the dashboard add a function that
takes a list of countries (string) and returns a matplotlib ax object. Add
your new plot to all_plots in plots.py.
I want to thank everyone who has contributed to this project and especially @gonuke for his PRs!
This project is published MIT licensed. I strongly believe that this encourages collaboration.
Copyright © 2020
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.