https://github.com/ratreya/covid-19

Datasets for COVID-19 and visualization using Jupyter Notebook.
https://github.com/ratreya/covid-19

covid-19 jupyter-notebook

Last synced: 14 days ago
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Datasets for COVID-19 and visualization using Jupyter Notebook.

• Host: GitHub
• URL: https://github.com/ratreya/covid-19
• Owner: ratreya
• License: mit
• Created: 2020-03-22T18:24:10.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-12-25T21:16:44.000Z (about 4 years ago)
• Last Synced: 2024-12-12T12:45:02.761Z (2 months ago)
• Topics: covid-19, jupyter-notebook
• Language: HTML
• Homepage:
• Size: 34.9 MB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# COVID-19 Notebooks

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ratreya/COVID-19/master?filepath=visualization.ipynb)

* `base-builder.ipynb` is run to produce the base build of merged and cleaned-up CSV file from [JHU CSSE daily reports](https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_daily_reports). `jhu-daily-reports.csv` has the following columns:

| Country | State | County | Date    | Confirmed | Deaths | Recovered | Confirmed_New | Deaths_New | Recovered_New | 

|---------|-------|--------|---------|-----------|--------|-----------|---------------|------------|---------------| 

|         |       |        |         |           |        |           |               |            |               | 

* `incremental-builder.ipynb` is run everyday to incrementally merge in new data into `jhu-daily-reports.csv`.

* `visualization.ipynb` reads this CSV and generates the following visualizations.

## First Wave and Second Wave for U.S.

[![US Waves](https://storage.googleapis.com/atreya/wave.png)](https://ratreya.github.io/COVID-19/wave.html)

## Comparing various trends against total confirmed cases.

![Global Growth](https://storage.googleapis.com/atreya/global-covid-growth.png)

![Global Hospitalizations](https://storage.googleapis.com/atreya/global-covid-hospitalization.png)

## World-wide daily new cases broken up by top 10 contributing countries.

![Global Spread](https://storage.googleapis.com/atreya/global-covid-spread.png)

## US daily new cases broken up by top 10 contributing states.

![US Spread](https://storage.googleapis.com/atreya/us-covid-spread.png)

## Comparing New Case growth in India against other leading countries.

![India Growth](https://storage.googleapis.com/atreya/india-growth.png)

Comparing New Case growth of top 10 US states against each other.

![India Growth](https://storage.googleapis.com/atreya/us-state-growth.png)