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bccovideda-1.1.0


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توضیحات

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
[![ci-cd](https://github.com/UBC-MDS/bccovideda/actions/workflows/ci-cd.yml/badge.svg)](https://github.com/UBC-MDS/bccovideda/actions/workflows/ci-cd.yml) [![codecov](https://codecov.io/github/UBC-MDS/bccovideda/branch/main/graph/badge.svg)](https://codecov.io/github/UBC-MDS/bccovideda) [![Documentation Status](https://readthedocs.org/projects/bccovideda/badge/?version=latest)](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") ``` !["Histogram"](https://github.com/UBC-MDS/bccovideda/raw/main/img/plot_histogram.png) ```python plot_line_by_date("2021-01-01", "2021-01-30") ``` !["Line"](https://github.com/UBC-MDS/bccovideda/raw/main/img/plot_line.png) ## 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