covid_stats

webapp with live covid-19 stats

This is a community-led project focused on providing insighful and innovative data visualisations relating to the ongoing coronavirus pandemic. The community has a plethora of different expertise including policy research, data analytics and software development.

The goal is to:

• explore ideas for data visualisation and analysis,
• realise these ideas as dynamic and interactive data visualisations,
• get feedback from the community, continuing to develop the app

Ultimately we may wish to share the app more broadly.

where to start

• join the discussion on slack
• check the issues page
• view the current items on the project kanban

how to contribute code

• the app is running purely in python, using a library called streamlit. No javascript or css required!
• you can add a new page to the website simply by creating a new standalone module - see here for examples.
• each page is referenced in the app.py so that it can be browsed via dropdown menu
• the DataSets class is used for all data retrival and preprocessing steps

how to run the app locally

requirements: python 3

1) clone the repository:

$git clone https://github.com/joshuAnalytics/covid_stats.git

2) navigate to the repo directory, and install the python library dependencies

pip install -r requirements.txt

3) navigate to the directory, and run:

$streamlit run app.py

This launches the streamlit web server locally on http://localhost:8501/

You should see a browser window open automatically with a local rendering of the webapp. You can make changes to the code and see the results update in the browser