COVID-19 Statistics in Taiwan
This repository hosts and generates a dashboard for COVID-19 statistics in Taiwan.
Description
This site informs general public about COVID-19 with data visualization. It shows cases, testing, & vaccination statistics in Taiwan.
Features
The most recent statisitcs can be found in Last 90 days. The overall statistics can be found in Overall stats. Each of these two sections contains 6 pages:
- Case breakdown
- Incidence rates
- Vaccination
- Deaths
- Tests
- Comparison
Plots on Case breakdown are:
- Confirmed Case Counts (also shown in Home)
- Local Confirmed Cases per City & County
- Confirmed Cases by Age
Plots on Incidence rates are:
- Arrival & Local Incidence Rates
- Incidence Map
- Evolution of Incidence Rate by City & County (only in Last 90 days)
- Evolution of Incidence Rate by Age Group (only in Last 90 days)
Plots on Vaccination are:
- Vaccination by Brand
- Vaccination Progress & Deliveries
- Vaccination Progress by Dose (also shown in Home)
- Vaccination by Age Group (only in Last 90 days)
- Vaccination by City & County (only in Last 90 days)
Plots on Deaths are:
- Death Counts
- Case Fatality Rates
- Delay between Case and Death Reports
- Deaths by Age (only in Overall stats)
Plots on Tests are:
- Test Counts
- Test Positive Rate
The plot on Comparison is:
- Statistics in Mirror
And 2 other plots on the Timeline page:
- Chronology of Systematic Testing
- Pandemic Timeline (text in Mandarin)
Language support
- English
- French
- Taiwanese Mandarin
Current workflow
An automatic update is scheduled at 18:30 everyday.
This is done by executing upload.sh
. It will:
- download raw data from the sources,
- execute
python python/COVID_process.py
to generate processed data, and - commit & push the data to the repository.
Automatic updates can be interrupted when processing scripts raise errors (typically when data formats change) or when my computer is down. Manual data regularization may be done from time to time.
Credits
The visualization of this website is based on data collected from the following sources:
- a crowdsourced Google Spreadsheet,
- Centers for Disease Control (CDC),
- National Center for High-performance Computing (NCHC),
- Food and Drug Administration (FDA), and
- Ministry of the Interior (MOI).
See README.md
in raw_data/
and in processed_data/
for details.
Licenses
The codes & scripts are released under MIT License © Chieh-An Lin.
This repository contains a piece of code taken from here and is released under MIT License © Eric Shull.
The website template is released under MIT License © Blackrock Digital LLC.
All other texts and plots created by this repository are released under CC0 1.0 Universal Public Domain Dedication.