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Final Project II: Novel Coronavirus (COVID-19) Cases in China: Past, Present, and Future

Research Questions

  1. Which province in China has the most COVID-19 deaths? What's the best way to visually represent the information?
  2. Which province in China has the most impressive COVID-19 recovery rate? Is there any reason for such a bounce back?
  3. How do COVID-19 cases evolve over time in different China provinces? What should policymakers do to address such issue?
  4. Can policymakers predict the number of COVID-19 deaths (t+1) in Hubei based on the historical data CSSE collected?

About Data

This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).

Project Workflow

  1. Import Library
  2. Load Data
  3. Tidy and Transform Data
  4. Add Visualizations and Analysis
  5. Identify Potential Bias

Additional Resources

About

Final Project 2 : Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE (DS as a Field, Master's Degree in Data Science of University of Colorado Boulder.)

Topics

engineering data datascience johns-hopkins-university jhu datavisualization dataanalysis csse covid-19 systems-science covid19

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MIT license
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