semvec/pypi-packages huggingface dataset:
heartcovid 0.0.1
Various numerical output and graphing software related to heart disease and Covid-19
Requires Python: >=3.7

# heart covid
"heartcovid" is Various numerical output and graphing software related to heart disease and Covid-19.

"heartcovid" scours the Internet for the latest data from the following sites.

https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Center-for-Medicare-Medicaid-Services-CMS-Medicare/iw6q-r3ja

# How to install heartcovid
$ pip install heartcovid

# How to run heartcovid
1. $ heartcovid
2. Enter the number of the menu displayed.

## Diseases of the Heart (Heart Disease)

<img src='https://github.com/i-inose/heartcovid/blob/main/Diseases%20of%20the%20Heart%20(Heart%20Disease).png?raw=true' height=480 width=640>

The vertical axis is the percentage of deaths due to the selected cause of death.
Covid-19 impact is about 1.2.
This graph is used as a basis for comparison with other diseases.

## Acute Myocardial Infarction (Heart Attack)

<img src='https://github.com/i-inose/heartcovid/blob/main/Acute%20Myocardial%20Infarction%20(Heart%20Attack).png?raw=true' height=480 width=640>

Covid-19 impact is about 1.33.
This is about 0.13 higher than "Diseases of the Heart (Heart Disease).

## Major Cardiovascular Disease

<img src='https://github.com/i-inose/heartcovid/blob/main/Major%20Cardiovascular%20Disease.png?raw=true' height=480 width=640>

Covid-19 impact is about 1.34.
This is about 0.14 higher than "Diseases of the Heart (Heart Disease).

# Finally summary

All of the above graphs show that the number of deaths from each disease has risen since 2020, the year of the Covid-19 epidemic.