COVID19 Visualizations in Clojure with Vega

I wanted to better understand COVID-19, so I cloned Johns Hopkins’
daily-updated dataset, fired up a Clojure REPL, and started massaging
the data into a visualization using the Vega grammar.

This repository is a REPL notebook to demonstrate and extend
that exploration.

Usage

A cleaned-up subset of the code I used to produce the visualizations
in the article is in the covid19-in-the-repl namespace. If you’re
new to Clojure or just want to understand the article, I recommend
starting there:

1. Clone the Johns Hopkins dataset
   repo to resources/
   within this repo
2. Open applied_science.covid19-clj-viz.covid19_in_the_repl
3. Start a Clojure REPL (based on deps.edn, not Leiningen)
4. Evaluate forms one at a time, with a browser window open next to
   your editor so you can see the visualizatons as you go

Other namespaces are for exploring and visualizing COVID-19 data in other,
similar ways:

• italian-situation replicates Alan Marazzi’s article The Italian
  COVID-19
  situation
  without Panthera, as a demonstration of using orthodox Clojure
• italia visualizes COVID-19 cases in Italy [contributed by David
  Schmudde]
• india visualizes COVID-19 cases in India [contributed by Noor
  Afshan Fathima]
• south-america visualizes COVID-19 cases in South America by
  countries and in Peru by regions [contributed by Yuliana Apaza and
  Paula Asto]
• explore is a grab-bag of general visual explorations – line & bar
  charts, choropleths
• china and deutschland are for transforming country-specific
  data in support of visualizations
• source/* namespaces are for parsing of source data (e.g. Johns
  Hopkins, the World Bank) into usable structures

Some namespaces depend on cloning other repos into resources. For
instance, we put data from Italy’s Civil Protection
Department into
resources/Italia-COVID-19 to support visualizations in the italia
and italian-situation namespaces.

License

MIT License

Copyright (c) 2020 David Liepmann, Jack Rusher