impact of COVID-19 on mortality of midlife
Project description
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
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file midlife-0.0.8.tar.gz.
File metadata
- Download URL: midlife-0.0.8.tar.gz
- Upload date:
- Size: 2.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.8.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
be626f2aca05f326959b2ca4e4108f8a752702610b378fafa908607bf8078973
|
|
| MD5 |
333146efa34d431e81341b14ef2980f0
|
|
| BLAKE2b-256 |
81d3a5414a4054e113f047351172f78625d6c92701cc4ddcb5038b1244346b22
|
File details
Details for the file midlife-0.0.8-py3-none-any.whl.
File metadata
- Download URL: midlife-0.0.8-py3-none-any.whl
- Upload date:
- Size: 2.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.8.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
76c2bdb940bbdad292a88ad884deab9cbdb2e778de7b6ecb779d4a634bd6849c
|
|
| MD5 |
b706a3f825e1a12ba50c82026cda151b
|
|
| BLAKE2b-256 |
23c7edc9e6a6fff75d85361a54eef0eacf50327314a0859f2e557a829c56f15a
|