COVID-19 Data Visualization

Jupyter Notebook: https://nbviewer.jupyter.org/github/bchan01/covid-19-data-analysis/blob/master/data-analysis.ipynb?flush_cache=true

Basic visualization of COVID-19 cases in the state of Pennsylvania. The dataset is obtained from PA Department of Health COVID-19 Website through Web Scraping

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Install Dependencies

pip install -r requirements.txt

• Web Scraping

  • beautifulsoup4
  • lxml

• Data Analysis

  • panda
  • matplotlib
  • numpy
  • folium

• Jupyter Widgets: (https://ipywidgets.readthedocs.io/en/latest/index.html)

  • Option 1: Conda
    • conda install -c conda-forge ipywidgets
  • Option 2: pip
    • pip install ipywidgets
    • jupyter nbextension enable --py widgetsnbextension

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Data Source

• Perform Web Scraping to obtain daily data from PA Department of Health:
  * https://www.health.pa.gov/topics/disease/coronavirus/Pages/Archives.aspx
• Dataset collected:
  • Negative and Positive Cases and Deaths
  • Breakdown of numner of cases by county
• How to Extract Data
  • Run: python data_extractor_pa.py
  • CSV file produced:
    • pa_summary.csv
    • pa_county.csv
    • pa_county_geolocation.csv

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Visualization

• Jupyter NoteBook

  • Dependencies: run data_extractor_pa.py to get up-to-date pa_summary.csv and pa_county.csv dataset
  • jupyter notebook
  • open data-analysis.ipynb

• Streamlit Interactive Visualization App (COMINT SOON!!)