jaysnm / covid_hackathon

covid-policy-tracker

Home Page:https://data-science-hackathon.github.io/COVID-19-Hackathon/

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Data-Science Process/Storytelling

In this project, we are exploring two COVID-19 datasets and one Influenza/ Pneumonia dataset to examine whether there would be correlations between diagnosis and death cases from COVID-19 and Influenza in the US. We have also looked into the dataset of community mobility during COVID-19 to investigate possible correlations between various community mobility features and confirmed cases of and/or deaths from Covid-19 in the US.

Navigating the notebooks

  • COVID_Hackathon_Data_Cleaning.ipynb - influenza data pre-processing, cleaning and explorations.
  • COVID_Hackathon_ExploratoryDataAnalysis_States.ipynb - Covid-19 confirmed cases and confirmed deaths timeseried data exploration.
  • covid19-state.ipynb - Graphical visualization of US states confirmed Covid-19 cases.
  • interactive-charts.ipynb - Enhanced interactive graphics using plotly.

About

covid-policy-tracker

https://data-science-hackathon.github.io/COVID-19-Hackathon/


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Language:Jupyter Notebook 100.0%