Untitled

library(tidyverse)

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library(readxl)
district<-read_excel("district.xls")

hw3data<-district%>%select(DISTNAME,DPETSPEP,DPFPASPEP)

summary(hw3data)

##    DISTNAME            DPETSPEP       DPFPASPEP     
##  Length:1207        Min.   : 0.00   Min.   : 0.000  
##  Class :character   1st Qu.: 9.90   1st Qu.: 5.800  
##  Mode  :character   Median :12.10   Median : 8.900  
##                     Mean   :12.27   Mean   : 9.711  
##                     3rd Qu.:14.20   3rd Qu.:12.500  
##                     Max.   :51.70   Max.   :49.000  
##                                     NA's   :5

DPFPASPEP has missing values

clean<-hw3data%>%drop_na()

ggplot(data=clean,aes(x=DPETSPEP,y=DPFPASPEP)) + geom_point()

Some correlation

cor(clean$DPETSPEP,clean$DPFPASPEP)

## [1] 0.3700234