Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ksw2000/covid-19-in-taiwan
臺灣境內近期COVID-19疫情數據視覺化呈現 Data visualization of statistics about COVID-19 in Taiwan.
https://github.com/ksw2000/covid-19-in-taiwan
coronavirus covid-19 taiwan
Last synced: 2 months ago
JSON representation
臺灣境內近期COVID-19疫情數據視覺化呈現 Data visualization of statistics about COVID-19 in Taiwan.
- Host: GitHub
- URL: https://github.com/ksw2000/covid-19-in-taiwan
- Owner: ksw2000
- License: mit
- Created: 2021-05-30T05:46:41.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-04-13T09:28:20.000Z (almost 2 years ago)
- Last Synced: 2024-04-16T17:27:49.150Z (9 months ago)
- Topics: coronavirus, covid-19, taiwan
- Language: JavaScript
- Homepage: https://ksw2000.github.io/COVID-19-in-Taiwan/
- Size: 1.09 MB
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# COVID-19-in-Taiwan
 [](https://github.com/ksw2000/COVID-19-in-Taiwan/issues)   
目前國內疫情較穩定，已暫停機器人運作，相關數據仍繼續保存
臺灣境內近期COVID-19本土確診、境外移入、死亡數據(含校正回歸)、及疫苗施打狀況
數據若有錯可以發 issue 或 pull request
[https://ksw2000.github.io/COVID-19-in-Taiwan/](https://ksw2000.github.io/COVID-19-in-Taiwan/)
## bot/get_data.js
1. 從指揮中心新聞稿透過**神祕的演算法**取得「每日確診數」(境外、本土、死亡) [data/dataset-robot.json](./data/dataset-robot.json)
2. 從指揮中心開放資料庫取得最新疫情狀況 [data/latest_statistic.json](./data/latest_statistic.json)
3. 從指揮中心開放資料庫取得確診者所在縣市資料 `[data/city_statistic.json](./data/city_statistic.json)
## bot/vaccine.js
從[指揮中心疫苗網頁](https://www.cdc.gov.tw/Category/Page/9jFXNbCe-sFK9EImRRi2Og)抓取 pdf 檔，經 `pdf2html` 轉檔後，再萃取出相關數據
## 檔案架構
+ /
+ [bot/](#) *後端爬蟲*
+ [get_data.js](./bot/get_data.js) *定時抓取確診數據*
+ [get_vaccine.js](./bot/get_vaccine.js) *定時抓取疫苗數據*
+ [data/](#)
+ [city_statistic.json](./data/city_statistic.json) *各縣市累積及14天內確診者數量*
+ [dataset-2021.json](./data/dataset-2021.json) *2021/5/11 至年底確診數據(人工維護)*
+ [dataset-2022.json](./data/dataset-2022.json) *2022 年確診數據(人工維護)*
+ [dataset-robot.json](./data/dataset-robot.json) *機器人透過新聞稿分析詞句抓取確診數據*
+ [latest_static.json](./data/latest_statistic.json) *Covid-19在台累積數據*
+ [vaccine.json](./data/vaccine.json) *疫苗現況(人工維護 2022/4 改由機器抓取)*
+ [index.html](./index.html) *網頁主畫面*
+ [main.css](./main.css) *網頁樣式表*
+ [main.js](./main.js) *網頁前端*
## 新聞稿確診數分析演算法
```js
/**
* @param string title 新聞稿連結標題
* @param string text 新聞稿本文
* @return Object | null
*/
static textRecognize(title, text) {
text = text.replace(/[\r\n]/mg, '').replace(/\s+/g, ' ');
let ret = {};
// 抓日期，抓不到回傳 null
let date = /
(.*?)<\/div>/.exec(text);
if (date === null) return null;
date = /(\d+)\/(\d+)\/(\d+)/.exec(date[1]);
if (date === null) return null;
if (date != null) {
ret['date'] = {
y: Number(date[1]),
m: Number(date[2]),
d: Number(date[3])
}
}
// 抓死亡數，抓不到回傳 null
let content = /
(.*?)<\/p>/.exec(text);
if (content === null) return null;
let input = content[1];
// 尋找死亡數
if (input.search("無新增死亡") != -1) {
ret['死亡'] = 0;
} else {
let res = /(\d+)例死亡/.exec(input);
if (res === null) return null;
ret['死亡'] = Number(res[1]);
}
// 確診資訊直接從標題抓
let index = title.search('分別為');
if (index != -1) {
// 同時有本土與境外
let res = /([,\d]+)例本土.*?([,\d]+)例境外移入/.exec(title.substring(index));
if (res === null) return null;
ret['本土'] = Number(res[1].replace(',', ''));
ret['境外'] = Number(res[2].replace(',', ''));
} else {
// 僅有境外
let res = /新增([,\d]+)例.*?境外移入/.exec(title);
if (res === null) return null;
ret['本土'] = 0;
ret['境外'] = Number(res[1].replace(',', ''));
}
return ret;
}
```
