Skip to content

Instantly share code, notes, and snippets.

#spine graph
#loading packages
library(dplyr)
library(readr)
library(ggplot2)
library(RColorBrewer)
library(scales)
#reading in data
#percentages of population
#load packages
library(dplyr)
library(readr)
library(ggplot2)
library(RColorBrewer)
#read in IPUMS data; limit to male veteran (just black or white)
a <- read_csv('final.csv') %>%
filter(SEX==1 & VETSTAT==2 & !(RACE>2))
#Population of educated white veterans by state
#loading packages
library(dplyr)
library(readr)
library(ggplot2)
library(RColorBrewer)
library(ggmap)
library(maptools)
library(gtools)
rm(list=ls())
#Population of educated black veterans by state
#loading packages
library(dplyr)
library(readr)
library(ggplot2)
library(RColorBrewer)
library(ggmap)
library(maptools)
library(gtools)
rm(list=ls())
#Population of black veterans by state
#loading packages
library(dplyr)
library(readr)
library(ggplot2)
library(RColorBrewer)
library(ggmap)
library(maptools)
library(gtools)
rm(list=ls())
#Population of white veterans by state
#loading packages
library(dplyr)
library(readr)
library(ggplot2)
library(RColorBrewer)
library(ggmap)
library(maptools)
library(gtools)
rm(list=ls())