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This is a project for the 4th Annual DubsTech Datathon. This presentation focuses on data analysis and visualization of COVID-19 hospital data.

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Dubstech Datathon

Analysis and Data Visualizations on COVID-19 Hospital data

Created by Team Polaris:

  1. Caroline Wills - COVID Hospitalizations in Select Cities from 1/2021 to 9/2022
  2. Militha Madur - Confirmed Covid 19 Cases by Age Group (2021-2023)
  3. Beth Gronski - Ratios and Differences of Vaccinated and Unvaccinated Healthcare Providers (maps)
  4. Kalkidan Tamirat - Average Number of Patients Hospitalized with Covid (Jan 2021 - Feb 2023)

For our analysis, we chose the Health prompt, which was to better leverage COVID-19 data of hospitals in the US by answering analytical questions that sparked our interest as data scientists.

Link to our Google Slides Presentation of our findings: https://docs.google.com/presentation/d/1b3jQ6SssFSCy85MPJxbDJBMZAGqhwKSjvd20eU8yszs/edit#slide=id.ge5eb96067e_1_0

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This is a project for the 4th Annual DubsTech Datathon. This presentation focuses on data analysis and visualization of COVID-19 hospital data.

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python r seaborn geopandas ggplot us-data covid-19

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