This repository is a work in progress showing multiple ways to analyze and visualize the COVID-19 pandemic, both in the USA and Worldwide. Using the Microsoft Bing COVID-19 Tracker, we can create visualization and analysis using three different methods. Ultimately, each method will be reviewed and scored in a series of Blog posts on Medium to showcase the benefits and disadvantages of each approach.
Data Source: Microsoft Bing COVID-19 Tracker https://www.bing.com/covid. Downloadable CSV Data is available here: https://github.com/microsoft/Bing-COVID-19-Data
The three methods used will be:
- Python with Jupyter Notebooks, Matplotlib, and gmaps for interactive heatmapping (be sure to enable widgets to view the heatmaps! They won't display the interactive version without this!)
- Tableau to create interactive maps and dashboards (link below)
- React application using D3 (or Plotly), Mapbox, with back-end powered by Flask and querying with GraphQL (coming soon!)
Hosted Jupyter Notebook: See file covid_analysis.ipynb in this repository. An interactive version is viewable in Google Colab here: https://colab.research.google.com/github/Unionindesign/COVID19_DataVis/blob/master/covid_analysis.ipynb
Tableau Public Workbook: https://public.tableau.com/profile/stephen.marshall5738#!/vizhome/COVID-19InteractiveDataVisualizationandMapping/COVID19-MicrosoftBingTracker