midlife
This is under review.
midlife is a PyPI application for evaluating and visualzing the impact of COVID-19 on mortality of midlife in five age groups from 40 to 64 years old.
CDC dataset is used for this study: https://data.cdc.gov/api/views/chcz-j2du/rows.csv
How to install midlife
$ pip install midlife
How to run midlife
midlife needs the degree of polynomial regression and sex: F or M. The following example can show the 4th degree of polynomial and Female.
$ midlife 4 F
1 maintainer
Metadata
1 maintainer
Release files for midlife 0.0.8
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| midlife-0.0.8.tar.gz | 2.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| midlife-0.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.3 kB
Release files / midlife-0.0.8.tar.gz
| Download URL | midlife-0.0.8.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/5.0.0 CPython/3.8.18
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Release files / midlife-0.0.8-py3-none-any.whl
| Download URL | midlife-0.0.8-py3-none-any.whl |
|---|---|
| Size | 2.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.8.18
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Security for midlife 0.0.8
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