A package for scoring state policies of covid-19 in the US
Project description
scoreUS
This is a practice or exercise for students.
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Build a program for scoring U.S. states' policies toward the COVID-19 pandemic. Scoring is based on the number of deaths per population (millions).
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Then, use machine learning for understanding the relationship between its scores and other indicators. Specify feature-importances in descending order.
Indicators such as the number of deaths, immunization rates, population, poverty rates, and others must be used in machine learning.
- Examine whether the result will play a key role for policymakers in their decision-making against the pandemic.
deaths of US states:
https://github.com/nytimes/covid-19-data/raw/master/live/us-states.csv
vaccination rate of US states:
https://covid.ourworldindata.org/data/vaccinations/us_state_vaccinations.csv
Use PopulationReport.csv on population by state in the US:
https://data.ers.usda.gov/reports.aspx?ID=17827
Use pov.csv file on poverty rate by state in the US:
https://data.ers.usda.gov/reports.aspx?ID=17826
Use health.csv:
education
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