# COVID-19 SciCloj Online Hackathon II

## Where to discuss

* [announcements](https://clojurians.zulipchat.com/#narrow/stream/227504-covid-19/topic/announcements) -- please check this topic from time to time
* [brain storming](https://clojurians.zulipchat.com/#narrow/stream/227504-covid-19/topic/brain.20storming)
* dedicated topics for teams, etc.

## Plan
(times are tentative)

* (15 min) Intro

* (45 min) Presenting some tools and suggested projects
* update on [covid19-clj-viz](https://github.com/appliedsciencestudio/covid19-clj-viz) - Dave
* [rdata](https://github.com/appliedsciencestudio/rdata/) - Dave/Jack
* [clojisr] - Daniel
* Anybody else?

* (10 min) Dividing into teams

* (110 min) Teamwork

* (50 min) Meeting again to present and discuss some projects
* Noor & Ashima
* Paula & Yuliana
* Maybe Quentin
* Maybe Jon
* ...

* (10 min) Conclusion -- how we continue

## Suggested projects

See [discussion here](https://clojurians.zulipchat.com/#narrow/stream/227504-covid-19/topic/brain.20storming).

See also [the document](https://hackmd.io/RTfNCdkNSzOsMfHPRHtRMA) of the previous hackathon.

### Explore NYT new dataset
https://github.com/nytimes/covid-19-data

### Replicate Bruce Haumann's charts of Canada for another region
https://rigsomelight.com/canada_covid
We mainly seek visualizations of small regions -- e.g., using the NYT data above.

### Keep hacking on covid19-clj-viz
https://github.com/appliedsciencestudio/covid19-clj-viz

* extending/switching to the ECDC data set, per Our World in Data recommendation
* creating UK dashboard based on UK Government data - John (Practicalli) - [simplified project](https://github.com/practicalli/covid19-dashboard), [video: building a dashboard in Oz](https://youtu.be/jZ6Fzjr2gdw), [blog post](https://practicalli.github.io/blog/posts/visualising-uk-covid19-data-with-oz/)

### Scraping tables from html pages

Suggestion: use [hickory](https://github.com/davidsantiago/hickory) and try to mimic what [rvest](https://github.com/tidyverse/rvest/blob/master/man/html_table.Rd) does.

A general function would be wonderful, but a tutorial for a specific use case would be also great.

For example, see some of the tables at [this](https://en.wikipedia.org/wiki/Timeline_of_the_2019–20_coronavirus_pandemic_in_March_2020) wikipedia page.

### Going through R epidemiology posts

https://timchurches.github.io/blog/
https://rviews.rstudio.com/2020/03/05/covid-19-epidemiology-with-r/

Suggestion: use clojisr, tech.ml.dataset

See some basig usage example [here](https://scicloj.github.io/covid-19-examples/doc/covid-19-examples/example1/).

### Hack on JSA's Saite document

[Saite's repo](https://github.com/jsa-aerial/saite)

[intro](https://youtu.be/DqVh7VEzQaI)

[the part about covid-19 visualization](https://www.youtube.com/watch?v=DqVh7VEzQaI&t=10m46s)

It takes some times to grasp everything and get used to the ideas (e.g., the [Hanami](https://github.com/jsa-aerial/hanami) templates). But if you are curious about it and wish to go in that direction in the following days, then this video can be a good way to start.

jsa will join the hackathon to help out, but not be at the first couple of hours.

### Work on hospital beds data

Jack:: Given that there are many visualizations of the basic infection and death rates, it might be interesting to graph things relative to other kinds of data. One place to start might be looking at hospital beds per country: https://data.worldbank.org/indicator/sh.med.beds.zs

Also: https://en.wikipedia.org/wiki/List_of_countries_by_hospital_beds
(this also includes ICU beds per country for many countries)

Noor has started some scraping work on that.

### Discuss possible future project
Have a small video brainstorm about possible useful projects we can work on.