countyhealthrankings-package: countyhealthrankings.org dataset in R

In ejanalysis/countyhealthrankings: Data on Health Indicators by US County, from countyhealthrankings.org

countyhealthrankings.org dataset in R

Description

Provides health indicators data by county, from countyhealthrankings.org, for use in R. Source of data: 2014 and 2015 datasets from http://www.countyhealthrankings.org/rankings/data which redirects to newer URL: Data as of 2019: http://www.countyhealthrankings.org/explore-health-rankings/rankings-data-documentation Also see: http://www.countyhealthrankings.org/about-project obtained 3/27/2015 and slightly modified to provide 5 digit FIPS as character field, and ST field as copy of State field.

References

http://ejanalysis.github.io
http://www.ejanalysis.com/

Examples

  #data('countyhealth14')
  #data('countyhealth15')

  # Example of using the data to see a histogram of counties
  hist(countyhealth14$Poor.or.fair.health.Value, 100,
    main='Variation across counties in health, 2014 dataset', ylab='Number of counties',
    xlab='Percent of county residents that report being in only poor or fair health',
    ylim = c(0,200), xlim = c(0,0.5))

    hist(countyhealth19[ , match("Poor or fair health raw value", colfullnames19)], 100,
    main='Variation across counties in health, 2019 dataset', ylab='Number of counties',
    xlab='Percent of county residents that report being in only poor or fair health',
    ylim = c(0,200), xlim = c(0,0.5))

 # Example of using the data to create a boxplot by state:
 statemedians=aggregate(countyhealth15$Poor.or.fair.health.Value, by=list(countyhealth15$ST),
   FUN=function(x) median(x, na.rm = TRUE))
 stateorder=statemedians[order(statemedians[,2], decreasing = TRUE),1]
 boxplot(
   countyhealth15$Poor.or.fair.health.Value ~ factor(countyhealth15$ST, levels=stateorder),
   cex.axis=0.5, main='Range of county values by State, 2015 % in poor or fair health')

ejanalysis/countyhealthrankings documentation built on March 25, 2022, 9:15 a.m.