library("tidyverse")
all_states<-map_data("state")
congress<-read_csv("womenincongress.csv")
## Warning: Missing column names filled in: 'X1' [1]
## Parsed with column specification:
## cols(
##   X1 = col_double(),
##   state = col_character(),
##   senators = col_double(),
##   representatives = col_double(),
##   total = col_double()
## )
names(congress)[2]<- "region"
stateData<-left_join(all_states,congress,by="region")

#Graph 1

repProp<-stateData$`representatives`/stateData$`total`

housePlot <- ggplot()+geom_polygon(data=stateData,aes(x=long, y=lat, group = group, fill=repProp),color="grey50")+coord_map()+labs(x="",y="",title="Women in the House")+theme_classic()+ theme(axis.ticks.y = element_blank(),axis.text.y = element_blank(), axis.ticks.x = element_blank(),axis.text.x = element_blank())


housePlot<-housePlot + scale_fill_gradient(name="Female Representatives",low="whitesmoke",high="darkred",guide=guide_colorbar(title.position="bottom"))

housePlot

#Graph 2

electionData <- read_csv("2012.csv")
## Warning: Missing column names filled in: 'X1' [1]
## Parsed with column specification:
## cols(
##   X1 = col_character(),
##   ObamaVotes = col_double(),
##   ObamaEV = col_double(),
##   RomneyVotes = col_double(),
##   RomneyEV = col_double(),
##   JohnsonVotes = col_double(),
##   JohnsonEV = col_double(),
##   SteinVotes = col_double(),
##   SteinEV = col_double()
## )
names(electionData)[1] <- "region"

electionData$ObamaPerc <- electionData$ObamaVotes/(electionData$ObamaVotes+electionData$RomneyVotes+electionData$JohnsonVotes+electionData$SteinVotes)
electionData$RomneyPerc <- electionData$RomneyVotes/(electionData$ObamaVotes+electionData$RomneyVotes+electionData$JohnsonVotes+electionData$SteinVotes)
electionData <- merge(all_states,electionData,by="region")
south <- filter(electionData, region %in% c("delaware", "florida", "georgia", "maryland", "north carolina", "south carolina", "virginia", "district of columbia", "west virginia", "alabama", "kentucky", "mississippi", "tennessee", "arkansas", "louisiana", "oklahoma", "texas"))
                
SouthelectionPlot <- ggplot()+geom_polygon(data=south,aes(x=long, y=lat, group = group, fill=ObamaPerc),color="grey50")+coord_map()+labs(x="",y="",title="2012 Election Results")+theme_classic()+ theme(axis.ticks.y = element_blank(),axis.text.y = element_blank(), axis.ticks.x = element_blank(),axis.text.x = element_blank()) + scale_fill_gradient2(name="Obama's Percenatage",low="red",mid="white",high="blue",midpoint=.5)

SouthelectionPlot