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bccovideda-1.1.0
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مشاهده بیشترتوضیحات
A package to download BC covid data and create simple EDA
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | bccovideda-1.1.0 |
| نام | bccovideda |
| نسخه کتابخانه | 1.1.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | MDS 2021 DSCI 524 Group 25 |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | https://github.com/UBC-MDS/bccovideda |
| آدرس اینترنتی | https://pypi.org/project/bccovideda/ |
| مجوز | MIT |
[](https://github.com/UBC-MDS/bccovideda/actions/workflows/ci-cd.yml)
[](https://codecov.io/github/UBC-MDS/bccovideda)
[](https://bccovideda.readthedocs.io/en/latest/?badge=latest)
# bccovideda
**Authors**: Lianna Hovhannisyan, John Lee, Vadim Taskaev, Vanessa Yuen
The British Columbia Center for Disease Control (BCCDC) manages a range of provincial programs and clinics that contribute to public health and help control the spread of disease in BC. It administers and distributes the latest daily data on COVID-19 in British Columbia, which it provides in csv format along case-, lab- and regional-specific features as well as in comprehensive ArcGIS format via the [COVID-19 webpage](http://www.bccdc.ca/health-info/diseases-conditions/covid-19/data) (under "Download the data"). This package leverages daily case-specific COVID-19 data, allowing users to conveniently download the latest case data, and - per specified date range interval - compute several key statistics, visualize time series progression along age-related and regional parameters, and generate exploratory data analysis in the form of histogram figures supporting on-demand analysis. COVID-19 case detail parameters extracted using this package:
- Reported_Date (in YYYY-MM-DD format)
- HA (provincial health region, e.g., "Vancouver Coast Health")
- Sex (M or F)
- Age_Group (reported along 10-yr age group bins, e.g., "60-69")
- Classification_Reported (diagnosis origin, e.g., "Lab-diagnosed")
## Installation
`bccovideda` can be installed from PyPI using the following terminal command:
```bash
$ pip install bccovideda
```
## Package Functions
- `get_data()`
- This function downloads the latest detailed daily case-specific COVID-19 from BCCDC's dedicated [COVID-19 homepage](http://www.bccdc.ca/health-info/diseases-conditions/covid-19/data). It returns a dataframe containing the extracted raw data.
- `show_summary_stat()`
- This function computes summary statistics from the available case-specific parameters, such as age-related and regional aggregate metrics. It returns a dataframe listing key identified summary statistics specified per the time interval queried.
- `plot_line_by_date()`
- This function returns a line chart plot of daily case counts, based on parameters and grouping selected by the user, per the time interval queried.
- `plot_hist_by_cond()`
- This function returns a histogram plot based on parameters and grouping selected by the user, per the time interval queried, allowing for on-demand exploratory data analysis.
## Usage
`bccovideda` can be used to download and compute summary statistics, generate exploratory data analysis histogram plots, and plot time series chart data as follows:
```python
from bccovideda.get_data import get_data
from bccovideda.show_summary_stat import show_summary_stat
from bccovideda.plot_hist_by_cond import plot_hist_by_cond
from bccovideda.plot_line_by_date import plot_line_by_date
```
```python
get_data()
```
<img src="https://github.com/UBC-MDS/bccovideda/raw/main/img/data.png" height="400">
```python
show_summary_stat("2022-01-01", "2022-01-13")
```
<img src="https://github.com/UBC-MDS/bccovideda/raw/main/img/summary.png" height="500">
```python
plot_hist_by_cond("2021-01-01", "2021-01-30", "Age")
```
```python
plot_line_by_date("2021-01-01", "2021-01-30")
```
## Role within Python Ecosystem
Given the relatively adequate accessibility of latest aggregate COVID-19 data combined with its persistent impact on socio-economics since early 2020, there are a number of rather comprehensive Python packages that perform similar data extract and exploratory data analysis functions, such as [covid](https://pypi.org/project/covid/), [covid19pyclient](https://pypi.org/project/covid19pyclient/), [covid19pandas](https://github.com/PayneLab/covid19pandas). In contrast to existing packages, `bccovideda` provides a simple user interface that focuses on the localized provincial context of British Columbia, utilizing features specific to BCCDC's data administration conventions for generating a quick overview and on-demand analysis of trends and statistics pertaining to age-related and regional case characteristics.
## Dependencies
- Python 3.9 and Python packages:
- pandas==1.3.5
- requests==2.27.1
- altair==4.2.0
- altair-saver==0.5.0
## Documentation
Documentation `bccovideda` can be found at [Read the Docs](https://bccovideda.readthedocs.io)
## Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
## Contributors
Group 25 Contributors:
- Lianna Hovhannisyan: @liannah
- John Lee: @johnwslee
- Vadim Taskaev: @vtaskaev1
- Vanessa Yuen: @imtvwy
## License
The `bccovideda` project was created by DSCI 524 (Collaborative Software Development) Group 25 within the Master of Data Science program at the University of British Columbia (2021-2022). It is licensed under the terms of the MIT license.
## Credits
`bccovideda` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).
نیازمندی
| مقدار | نام |
|---|---|
| >=4.2.0,<5.0.0 | altair |
| >=0.5.0,<0.6.0 | altair-saver |
| >=6.7.0,<7.0.0 | ipykernel |
| >=1.3.5,<2.0.0 | pandas |
| >=2.27.1,<3.0.0 | requests |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.9,<4.0 | Python |
نحوه نصب
نصب پکیج whl bccovideda-1.1.0:
pip install bccovideda-1.1.0.whl
نصب پکیج tar.gz bccovideda-1.1.0:
pip install bccovideda-1.1.0.tar.gz