covid

→ Have a look at the compiled visuals here.

Data visualization

Preparations and Dependencies

To run the visualization script you need Python (as of versions 3.6+), of course, and probably want to prepare the environment as follows:

0. create virtual environment (optional)

   $ python -m venv ./.venv

   $ source ./.venv/bin/activate

1. install dependencies

   $ pip install numpy matplotlib pandas

   $ pip install adjustText # (optional)

2. install GUI visiualization backend (optional) To enable matplotlib to use Tk backend use a command appropriate for your system, e.g. one of these:

   • $ sudo apt-get install python3-tk # (Debian'ish)
   • $ sudo dnf install python3-tkinter # (Fedora-flavoured)
   • $ sudo pacman -S tk # (Arch)

Setup of data sources

1. clone JHUCSSE repository

   $ git clone --depth=1 -b web-data https://github.com/CSSEGISandData/COVID-19.git

2. clone CovidData repository

   $ git clone --depth=1 https://github.com/coviddata/coviddata.git

3. retrieve GeoNames CountryDataGN database

   $ wget https://download.geonames.org/export/dump/countryInfo.txt

4. show command line options help

   $ python3 ./covid2xa.py -h

Run the visualization script covid2xa.py

• show all plots and create SVG files

  $ python ./covid2xa.py -a

• create all plots as SVG files only

  $ python ./covid2xa.py -aX