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https://github.com/casperdcl/covid-19-box
Tracking the pandemic
https://github.com/casperdcl/covid-19-box
covid-19 dvc pinned-gist
Last synced: 3 months ago
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Tracking the pandemic
- Host: GitHub
- URL: https://github.com/casperdcl/covid-19-box
- Owner: casperdcl
- License: other
- Created: 2020-03-25T21:32:46.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2024-04-19T03:14:53.000Z (10 months ago)
- Last Synced: 2024-05-01T15:01:45.821Z (9 months ago)
- Topics: covid-19, dvc, pinned-gist
- Language: Python
- Homepage:
- Size: 1.83 MB
- Stars: 5
- Watchers: 0
- Forks: 1
- Open Issues: 50
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
Awesome Lists containing this project
README
# 🏥 covid-19-box
GitHub Action for injecting COVID-19 status into a gist.
```
ID Date Cases( change) Deaths(chnge)
US 2023-01-18 101,858,337(127,694) 1,102,794(1,574)
BR 2023-01-18 36,572,898( 12,425) 695,698( 91)
IN 2023-01-18 44,684,667( 134) 523,355( 0)
RU 2023-01-18 21,561,796( 5,442) 386,588( 46)
ME 2023-01-18 7,316,602( 0) 324,585( 0)
PE 2023-01-18 4,480,312( 941) 219,407( 26)
GB 2023-01-18 23,407,181( 0) 214,415( 0)
IT 2023-01-18 25,363,890( 0) 186,024( 0)
DE 2023-01-18 37,649,808( 12,001) 164,400( 238)
FR 2023-01-18 39,960,833( 5,894) 164,100( 82)
-- 2023-01-17 665,939,359(338,467) 6,688,816(1,879)
```
---
As of now, the automatic [cloud-based pinned gist](#pinned-gist) functionality is text-only;
while [running locally](#local-install) allows graph plotting.
## ✨ Sources
[Data from ECDC](https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide)
# pinned gist
## 🎒 Prep Work
1. Create a new public GitHub Gist (https://gist.github.com/)
1. Create a token with the `gist` scope and copy it. (https://github.com/settings/tokens/new)
## 🖥 Project Setup
1. Fork this repo
1. Go to your fork's `Settings` > `Secrets` > `Add a new secret` for each environment secret (below)
## 🤫 Environment Secrets
- **gist_id:** The ID portion from your gist url `https://gist.github.com//`**`37496a4e4c84aed9711fbe3ec560888a`**.
- **gh_token:** The GitHub token generated above.
- **countries:** Comma-separated list of country IDs. Also can use `all` (world summary), or `top` (10 highest). Example: **top,all,JP**.
## 💸 Donations
Feel free to use the GitHub Sponsor button to donate towards my work if you're feeling generous <3
# Local Install
Requires Python and either pip or conda. Supports interactive plotting (rather than just plain-text gists).
## pip
```
pip install -r requirements.txt
```
## conda
```
conda env create -f environment.yml
conda activate covid-19
```
## Run
To (re)generate all graphs and summaries:
```
dvc update COVID-19.csv.dvc
dvc repro -P # auto-generates `world.png` and `top.png`
```
To manually run,
```
dvc update COVID-19.csv.dvc # at least once
python covid19.py --help
```
# Developers
Debug the GitHub action locally using:
```
docker-compose build
docker-compose up
```