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covid19's Introduction

Update Records from Pak gov website Who update Update CSV Dataset Records from Taiwan CDC website Web Build and Deploy to Earth

COVID-19

Super Fast COVID-19 Dashboard and parser

If you have any idea/suggestion to improve this dashboard, please write to GitHub discussion section

Purpose

  1. Develop awareness among the public.
  2. Visualized the data for everyone to understand.
  3. Gather data for research/experiences.

Features

  1. Parse data from government websites automatically daily, automated using GitHub Action of multiple countries.
  2. Parse data from WHO automatically on every Monday, automated using GitHub Actions
  3. Dashboard to visualize data.
  4. Publicly Data downloading.
  5. Multiple country handling frontend.
  6. Super Fast performance
  7. Fully customizable for country website for more info look Contribution guideline

How it works?

This project use GitHub Actions to automate the task/workflow, and export data into CSV and JavaScript JSON for quickly accessible into website without having any server. (serverless ๐Ÿ˜Ž)

Contribution

You're welcome to contribute to this project.

You should follow contribution guideline Contribution guideline

License

GPL-3

Support

If you like this project; Donate coffee?

Here is the bitcoin address.

37x6PA4qtPu2fQnYdW5U7jztYhbchASpBV

Thank you so much.

Disclaimer

I do not accept responsibility for any illegal usage

covid19's People

Contributors

alphasofthub-bot avatar datanetai avatar dependabot[bot] avatar lablnet avatar muhammadusmannaeem avatar nishith-savla avatar peter279k avatar tanuj2552 avatar zs-co avatar

Stargazers

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Watchers

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covid19's Issues

Scrapper for India Covid Cases

Hey I would like to add scrapper for India Covid cases scraping from the official website.
Please add hacktoberfest and assign it to me, if you are interested.

Refactor _sqlite.py

The following snippet of code is repeated a lot of times in the _sqlite.py with very minute differences:

        isbSql = "SELECT * FROM " + table + " Where type='INFECTED' and description LIKE '%Islamabad%' ORDER BY id desc LIMIT 1; "
        _sqlite.cur.execute(isbSql, ())
        isbData = _sqlite.cur.fetchall()
        count = isbData[0][5].split(" ")[-1]
        count = str(count).replace(',', '')
        last = int(str(isbData[0][5].split(" ")[0].replace(',', '')))
        if (count.isdigit()):
            isb['infected']['total'] = int(count)
            isb['infected']['last'] = last

This can be refactored using a list or a dictionary of the countries / type and then looped over it. Also the snippet can be extracted to a function to follow the Don't Repeat Yourself principle.

I can refactor this. Shall I?

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