6.2 Category 4 Variable 2: Renting Percentage

6.2.1 Map of Renting Percentage in the United States

pal <- colorBin("Oranges", metadataGIS$perc_rent, n = 7, reverse=FALSE)

leaflet(metadataGIS, options = leafletOptions(crsClass = "L.CRS.EPSG3857"), width="100%") %>%
  addPolygons(weight = 0.5, color = "gray", opacity = 0.7,
    fillColor = ~pal(perc_rent), fillOpacity = 1, smoothFactor = 0.5,
    label = popupPlus("Percent of People who rent", metadataGIS$perc_rent, "percentage"),
    labelOptions = labelOptions(direction = "auto")) %>%
    addPolygons(data = stateGIS,fill = FALSE,color="black",weight = 1) %>%
    addLegend(pal = pal,values = ~metadataGIS$perc_rent, opacity = 1, title = "People who Rent(%)",position = "bottomright")
People who Rent(%)
0 – 5
5 – 10
10 – 15
15 – 20
20 – 25
25 – 30
30 – 35
35 – 40

6.2.2 Graph and Regression of Rent % and % of GOP Votes

ggplot(metadata,aes(x=perc_rent,y=pctGOP*100,size=totalVotes))+
  geom_point(alpha=.2,color="Blue")+
  geom_smooth(method="lm",color="Black",alpha=.8,show.legend = FALSE)+
  geom_smooth(method="loess",color="red",alpha=.8,show.legend = FALSE)+
  labs(title="Renters as an explainatory variable for Voting Patterns",x="People who rent (%)",y="People who voted GOP (%)", size = "Total Votes")

model4.2<-lm(pctGOP~perc_rent,data=metadata)
stargazer(model4.2,
          type = "html", 
          report=('vc*p'),
          keep.stat = c("n","rsq","adj.rsq"), 
          notes = "<em>&#42;p&lt;0.1;&#42;&#42;p&lt;0.05;&#42;&#42;&#42;p&lt;0.01</em>", 
          notes.append = FALSE)
Dependent variable:
pctGOP
perc_rent -0.023***
p = 0.000
Constant 0.913***
p = 0.000
Observations 3,108
R2 0.195
Adjusted R2 0.194
Note: *p<0.1;**p<0.05;***p<0.01