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https://github.com/mojoaxel/corona-data-germany
fresh #coronavirus data for germany (RKI & RiskLayer)
https://github.com/mojoaxel/corona-data-germany
covid-19 hacktoberfest
Last synced: 23 days ago
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fresh #coronavirus data for germany (RKI & RiskLayer)
- Host: GitHub
- URL: https://github.com/mojoaxel/corona-data-germany
- Owner: mojoaxel
- Created: 2020-03-21T20:57:19.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2023-05-09T03:02:57.000Z (over 1 year ago)
- Last Synced: 2024-10-18T23:30:54.151Z (3 months ago)
- Topics: covid-19, hacktoberfest
- Language: JavaScript
- Homepage:
- Size: 135 KB
- Stars: 2
- Watchers: 4
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# corona-data-germany
fresh #coronavirus data for germany (RKI)
## Setup
```sh
npm install --save corona-data-germany
```
To access the Google-Sheets-API (risklayer data) we need to se the two env-variables:
* `GOOGLE_SERVICE_ACCOUNT_EMAIL`
* `GOOGLE_PRIVATE_KEY`
See https://theoephraim.github.io/node-google-spreadsheet/#/getting-started/authentication?id=service-account
The easies way ist just to create a `.env` file in the root of the project!
## Example
To run the examples just execute the index.js:
```sh
node index.js
```
### print data for AGS=05370 (Heinsberg)
```js
const county = await dataCollector.getCountyDataByAGS('05370');
console.log("Found county with AGS=05370: ", county);
```
Output:
```
{
meta: {
lastUpdate: 1584870500532,
sources: [
'Robert Koch-Institut',
'Risklayer GmbH (www.risklayer.com) and Center for Disaster Management and Risk Reduction Technology (CEDIM) at Karlsruhe Institute of Technology (KIT) and the Risklayer-CEDIM SARS-CoV-2 Crowdsourcing Contributors',
'Statistisches Bundesamt (Destatis), Feb 2020'
]
},
region: {
/* LK: Landkreis; SK: Kreisfreie Stadt; usw. */
name: 'LK Heinsberg',
/* Amtliche Gemeindeschlüssel */
AGS: '05370',
GEN: 'Heinsberg',
BEZ: 'Kreis',
/* Bundesland */
state: 'Nordrhein-Westfalen',
population: 254322,
area: 627.92,
malePopulation: 125849,
femalePopulation: 128473,
populationPerSquareKilometer: 4277
},
data: {
cases: 808,
deaths: 5,
immune: 84,
quarantine: 71
}
}
```
### print data table
Print data-table sort by cases:
```javascript
const counties = await dataCollector.getCoutiesData();
console.table(
counties
.sort((a,b) => b.data.cases_per_100k - a.data.cases_per_100k)
.map(c => ({
name: c.region.name,
cases: c.data.cases_per_100k,
deaths: c.data.deaths_total
}))
);
```
```sh
┌─────────┬────────────────────────────────────────┬──────────────────┬────────┐
│ (index) │ name │ cases │ deaths │
├─────────┼────────────────────────────────────────┼──────────────────┼────────┤
│ 0 │ 'LK Sächsische Schweiz-Osterzgebirge' │ 22366.6037381192 │ 1324 │
│ 1 │ 'LK Bautzen' │ 21482.1650280192 │ 1305 │
│ 2 │ 'LK Erzgebirgskreis' │ 20843.4638780177 │ 1454 │
│ 3 │ 'LK Hildburghausen' │ 20580.6307456588 │ 366 │
│ 4 │ 'LK Meißen' │ 19615.0949989807 │ 881 │
│ 5 │ 'LK Mittelsachsen' │ 19239.1383668243 │ 957 │
...
```
### print all case data as CSV
```js
const counties = await dataCollector.getCoutiesData();
console.log(`name; cases; deaths`);
counties.forEach(c => console.log(`${c.region.name}; ${c.data.cases_per_100k}; ${c.data.deaths_total}`));
```
Output:
```csv
name; cases; deaths
LK Sächsische Schweiz-Osterzgebirge; 22366.6037381192; 1324
LK Bautzen; 21482.1650280192; 1305
LK Erzgebirgskreis; 20843.4638780177; 1454
LK Hildburghausen; 20580.6307456588; 366
LK Meißen; 19615.0949989807; 881
...
```
## License
AGPL-3.0-or-later
Copyright 2020 by Alexander Wunschik and contributors