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covid-19's Introduction

Coronavirus COVID-19 Dashboard - Global Kaggle Data

Live Dashboard

https://covid19-dash.herokuapp.com/

Data Source

https://www.kaggle.com/imdevskp/corona-virus-report

Dev notes

To get up & running, create a venv, activate & run:

pip install -r requirements.txt
python app.py
# in another terminal, activate again & run:
pip install jupyterlab
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install jupyterlab-plotly
jupyter labextension install plotlywidget
jupyter lab build
jupyter lab # and open notebooks/

To recompile sass: sudo npm i -g sass and either add it to your IDE, or run: sass assets/styles.scss

Features/notes:

  • Kaggle Data Source: https://www.kaggle.com/imdevskp/corona-virus-report
  • Click play on map to animate over time - bubble size is log, hover for data.
  • Hover over barplot to filter timeseries by country - bar size is log10.
  • python Plotly Dash app (an open source dataviz library)

Potential Future Developments

  • Daily auto-updates
  • correlating other data (economic factors, comparison with flu data etc)
  • better granularity/grouping/drill-down, brushing/linking & crossfiltering
  • machine learning predictions,

Screencast

screencast

https://covid19-dash.herokuapp.com/assets/covid-dash-screencast.mp4

covid-19's People

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covid-19's Issues

Positioning layout

Hi, great dashboard.

Based on yours I'm trying to make mine on different subject. Could you tell me how do you position graphs that layout looks so clean and well positioned?

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